WESTERN CHINA AGRO-ECOLOGICAL VILLAGE DEVELOPMENT PROJECT
Socio-Economic Survey Results 2003
May 2004
SUSTAINABLE COMMUNITIES PROGRAMME
SHELL FOUNDATION
UNITED KINGDOM
by
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Resource Efficient Agricultural Production (REAP)-Canada
Box 125, Maison Glenaladale,
Ste. Anne de Bellevue, Québec, Canada, H9X 3V9
In Partnership with
Department of Soil and Water Conservation, Ministry of Water Resources
Lane 2 BaiGuanglu 2, Xuanwu District, Beijing, China
Background and Objective
The environmental quality of China remains in a long-term trend of deterioration as the growing population places tremendous pressure on the country’s diminishing natural resources. Western China is a major priority of the central Chinese government as the region suffers from high incidence of poverty and the most seriously eroding soil and expanding desertification in the world. The extensive soil degradation is a result of intensive cropping, excessive use of woody vegetation and crop residues as fuel or feed, over-grazing by animals, and cultivating crops on steep slopes. This furthers desertification and increases pressures on the land including increased clearing and usage of sensitive areas, high input farming and other unsustainable practices. Additionally, yearly rainfall is decreasing and severe droughts are frequent, meaning rural farmers have limited water available for consumption and irrigation. The demand for irrigation water and high silt output from erosion is so serious that during the past ten years the Yellow River has ceased flowing for extended periods of time.
There also is a growing disparity in wealth in China as peasant farmers are left behind while the nation economically progresses. Low commodity prices caused by the globalization of grain markets and the high rural population, have created intensive demands on the land to meet the livelihood requirements of small farmers, resulting in a high incidence of poverty. Rural folk, particularly men and young adults, are forced to migrate outwards from their villages to work for income, further destabilizing farm resources and the family structure. This forces women to bear the brunt of labour demands at home including household demands and farm labour. The quality of life for rural women is poor in this historically patriarchal society as their workload is heavy, decision-making and education is limited and they rarely leave their villages[JP1].
New strategies and efforts are required to create effective sustainable rural development models to respond to the interrelated challenges of environmental degradation, inadequacies in health and nutrition and low income generating opportunities in the region. The Western China Agro-Ecological Village Development (WCAEV) Project was established in July 2002, to assist the people in communities in Gansu province and in Inner Mongolia. The project will focus on 325 households in the Dingxi County, encompassing the 4 villages Zhangjiachuan, Fengjiacha, Chankou, and Beichuan, in the Fuxing watershed. Fuxing watershed is located in the Lanzhoong Loess Plateau Hill region, which is 80 km away from the Lanzhou, the capital of Gansu province. The watershed area is 19.32 km2 and erosion has affected 100% of this region with annual soil loss rate of 5400 tonne/km2 (Dingxi Soil and Water Conservation Bureau). Since 1999, conversion of agricultural land to grass and trees plantation has been a major component of conservation strategies for soil erosion in this region. The government now prohibits agricultural production on any land with slope greater than 25 degrees. The project will also encompass the Deshengxi watershed in Zhunger County, Inner Mongolia Autonomous region. This area is part of the Erdos plateau region that surrounds the Gobi dessert. It will involve 230 households from the 4 villages Sujiata, Nalingo, Bainilaing and Oboyen within the watershed.
The long-term objective of the project is to mitigate poverty and increase the self-reliance of marginalized Chinese farmers living in these environmentally sensitive areas, while reclaiming their degraded environment. The project emphasizes participatory development processes with communities using a four-step plan (institutional building process, capacity building and training, farm planning, field level implementation) to increase food and energy production and create sustainable livelihoods, while at the same time protecting and enhancing the natural resource base. The expected impacts of the project include the following:
Careful monitoring of performance indicators is an effective way to achieve desired project impacts and for that reason is an integral part of the Agro-Ecological Village development model. Baseline information on WCAEV beneficiary communities was obtained before the project was initiated and during its initial stages. Data will continue to be collected during implementation and also at the end of the project to evaluate project indicators, outputs and accomplishments and to provide feedback and future recommendations through which programming can be improved.
A detailed longitudinal socio-economic survey will be performed each year of the project on 20-30 households within each region. The survey will address the indicators identified in the original project concept and quantify them in a numerical or “grade” fashion so that differences in communities can be compared to measure project impacts over the life of the project and after it has been completed. Relevant socio-economic indicators that have been included in the survey and will be monitored annually include:
· Demographic conditions
· Family employment, income and expenditure
· Education
· Living conditions, healthcare and “quality of life”
· Food and nutrition, food security
· Household responsibility distribution and gender equity
· Priorities for future development and training needs
In October 2002, during the initial stages of first year of the project, a detailed Agro-Ecological survey was performed of the local farming practices to evaluate potential ecological impacts and possible training interests of the community. The results of this assessment were analyzed, formally reported and incorporated into the development of the community through inclusion into the WCAEV Annual Workplan. The annual socio-economic survey also includes a supplementary Agro-Ecological component intended to provide a comprehensive and quantitative annual assessment of the local farming methods, as well as to monitor the agricultural development of the communities. Some of the indicators that have been incorporated into the Agro-Ecological survey include:
· Land use
· Crop, vegetable, fruit, livestock production
· Seed sourcing
· Composting, bio-residue utilization
· Farm records and planning
* Indicators involving the “food footprint” of each household and a detailed energy analysis may also be included future surveys.
Dingxi County, Gansu Province, P.R.C.
Analysis of 2003 Results for Socio-Economic Survey
DINGXI Survey Administration
The WCAEV Socio-Economic survey was distributed June 7-18, 2003, to 21 households in Dingxi County, Gansu Province, P.R.C. An additional 5 households were surveyed in Dingxi from January 18-27, 2004, to ensure there was accurate representation of the local community.
DINGXI DEMOGRAPHIC CHARACTERISTICS
Question 1: Please fill in the following chart for all household members including name; age; gender; Relationship to one another; Marital Status and Ethnic/Religious background:
This question was intended to provide basic tracking information on the sample populations so that individuals may be compared longitudinally over time. These demographic characteristics can also assist in understanding the basic dynamics of family structure, household composition, ethnicity and human resources in the watershed.
DINGXI FAMILY EMPLOYMENT, INCOME AND EXPENDITURE
Question 2: What is the amount of your total yearly family income (RMB)?
This question was intended to provide information on the income levels of the sample populations as an indication of poverty and wealth in the watershed.
This question was intended to provide information on employment levels and income sources in the watershed, as well as to provide information on the gender division of labour. Both the number of farmers (and gender) practicing each activity was counted along with the average income associated with that activity if practiced, as well as the cumulative sum of income for all respondents.
It was found that farming is practiced by more than half of the respondents, followed by labor, livestock and forestry. Overall in the sample, the primary income generating activity was farming, followed by labor. By activity, business and raising aquatics were the most promising activities with the highest average incomes, followed by labour.
Annual Income Generating Activities and Household Participants by Gender |
Amount (¥) |
||||||
Activity |
Percent of farmers practicing activity |
Number of farmers practicing activity |
Number of men practicing |
Number of women practicing |
Sum of Annual Earnings (see chart below) |
Average Annual Earnings
|
Standard Deviation |
Farming |
53% |
51 |
23 |
28 |
97,291 |
1908 |
1042 |
Labourer |
21% |
26 |
23 |
3 |
70,200 |
2700 |
1226 |
Livestock |
16% |
19 |
4 |
15 |
18,030 |
1061 |
657 |
Forestry |
12% |
15 |
7 |
8 |
3150 |
210 |
362 |
Other |
9% |
11 |
9 |
2 |
13,397 |
1218 |
1574 |
Raise Aquatics |
2% |
2 |
1 |
1 |
7257 |
3629 |
1996 |
Business |
1% |
1 |
0 |
1 |
4000 |
4000 |
N/A |
Question 4: Of these income generating activities, which is on your farm (1), in the village (2), in a neighboring town (3) or in another location (4)?
This question was intended to provide additional information on income sources and employment location as an indication of labour-based migration out of the watershed. Both the average and the mode were compared with similar results:
Location for income generation |
Average |
Mode |
Agriculture |
1.2 |
1 |
Livestock |
1.9 |
2 |
Laborer |
3.6 |
4 |
Forestry |
1.7 |
2 |
Business |
2.0 |
2 |
Other |
3.0 |
4 |
Question 5: Of farm-generated income, what are your major products and how much income do you generate from each every year? How much do you sell them for and where do you sell them?
This question was intended to provide additional information on income sources; both the average and the total survey sum for all participants in the household were determined. The results from the survey indicate that many cash crops are commonly produced in the farming communities. Please refer to question 35 for the land amounts associated with these crops. The major income generator in Dingxi appears to be potato with the remainder as follows from highest income to least:
Farm Product |
Average Annual Earnings (¥) (see chart below) |
Sum of Annual Earnings (¥) |
Standard Deviation of the sum (¥) |
Potato |
1963 |
41540 |
2897 |
Pig |
578 |
14460 |
339 |
Wheat |
375 |
9380 |
78 |
Pea |
319 |
6400 |
369 |
Flax |
238 |
5940 |
- |
Sheep |
223 |
5580 |
153 |
Bean |
222 |
5090 |
278 |
Lentils |
147 |
3470 |
583 |
Corn |
141 |
3380 |
208 |
Donkey |
112 |
2810 |
312 |
Other |
104 |
2600 |
- |
Alfalfa seeds |
51 |
1280 |
370 |
Cattle |
48 |
1200 |
- |
Oat |
18 |
440 |
- |
Millet |
17 |
430 |
- |
Grain |
12 |
310 |
- |
Sorghum |
4 |
110 |
- |
Vegetable seed |
3 |
80 |
- |
Chicken |
2 |
50 |
- |
Sum of Average Annual Farm Earnings |
4579 |
|
|
Question 6: How much time do family members spend working per week?
This question was intended to provide information on the time spent working as an indication of employment and quality of life.
The average farmer in the Dingxi survey spends 65 hours (std. dev.12) working per week, with men working an average of 64 hours (std. dev.6) a week and women working 67 (std. dev.3). The highest amount of average hours worked reported per week was 103.
Question 7: How much free time per week do family members usually have during the busy and the slack farming seasons? What activities do you do?
This question was intended to provide information on the amount of free time available as an indication of the average quality of life.
The average farmer in the Dingxi survey has 94 hours (std. dev.33) of free time per week, with men (std. dev.14) and women (std. dev.25) being equal. Men mostly spent their free hours resting, socializing, reading taking care of livestock, doing housework, smoking and drinking tea or alcohol, while the women spent most of their time doing housework, handiwork or knitting. Twenty-one farmers (81%) also reported that watching TV was their primary free time activity.
This question was intended to provide information on expenditures by household and farm as an indication of poverty and quality of life. Both the average and the median were compared with slightly differing results for average household expenditures:
Details of the Average Annual Household Expenditures (¥) are as follows:
Household expenditures (per year) |
Average Annual Expenditures (¥) |
Sum of Annual Earnings (¥) |
Standard Deviation (¥) |
Sum of Total Yearly Expenditures |
5727 |
|
|
Food |
1707 |
44379 |
1097 |
Education |
1430 |
37180 |
3128 |
Heating, fuel, electricity, transportation |
604 |
15710 |
265 |
Clothing |
495 |
12860 |
295 |
Medical |
418 |
10866 |
361 |
Alcohol/cigarettes |
347 |
9010 |
334 |
Leisure, entertainment, hobbies |
261 |
6778 |
200 |
Other |
227 |
5232 |
242 |
Agricultural tax |
200 |
5195 |
193 |
Debt |
38 |
1000 |
196 |
Details of the Average Annual Farm Expenditures (¥) are as follows:
Farm Expenditures (per year) |
Average Annual Farm Expenditures (¥) |
Sum of Annual Earnings (¥) |
Standard deviation (¥) |
Sum of Total Farm Expenditures |
1595 |
|
|
Seeds |
684 |
17790 |
405 |
Other Agricultural |
535 |
9625 |
1453 |
Fertilizers |
294 |
7635 |
111 |
Tools |
53 |
1380 |
47 |
Labour |
15 |
400 |
54 |
Pesticides |
14 |
365 |
14 |
Question 10: How much money do you save every year (RMB)?
This question was intended to provide information on the net income of households as an indication of poverty and quality of life. Both the average and the median were compared with very different results:
The average amount of money saved per household surveyed is 589 ¥/year, with a median value of 0 ¥/year indicating at least half of the savings values are below 0. Standard deviation of this mean was 2040¥. An uneven distribution of savings was noted, with 22 households (58%) indicating they had zero savings (or did not answer the question) and only 4 households indicating they could save money (two answered 2000¥/year, one indicated 736¥/year and another indicated 10,000¥/year. It was probably this single high value that increased the mean so significantly, referring to the median value in this case would be a more accurate representation of the local situation.)
Question 12: Do you have credit? Please indicate how much (RMB) with each creditor?
This question was intended to provide information on the net income of households as an indication of poverty as well as to identify links and networks within and outside of the community:
Households surveyed reported an average amount of total debt of 1332 ¥ with 970 ¥(std. dev.2745) owed to family members 362 ¥(std. dev.1052) owed in credit to Banking Institutions. Only 9 households (35%) indicated they owed money to banking institutions, while 12 households (46%) indicated they owed money family members. As the majority of the sample did not have loans, it was likely that a handful of families with high loans raised the value of the average debt and created the large standard deviation. No loans were reported as owed to community associations or other institutions from the survey group.
Question 13: Who is in charge of the financial administration in the household?
This question was intended to provide information on decision-making and gender equality in the households.
It was noted that in 21 out of 26 households (81%) males are in charge of financial decisions. However, there were 4 households (15%) that indicated it was solely the women who were in charge, while one household indicated that the decisions were made jointly.
DINGXI EDUCATION
Question 14: Education of family members according to the following scale: No schooling (0); Attended Primary (1); Completed Primary (2); Attended High School (3); Completed High School (4); or higher education (5) and age when starting school?
This question was intended to provide information on education as an indication of social development and quality of life. The educational levels were regarded as continuous variables (as opposed to intervals) and averaged to find the typical amount of schooling for both men and women.
Question 15: If schooling is incomplete, what is the reason? (specify name of individual, age and gender)
This question was intended to provide information on education as an indication of social development, community capacity, overall quality of life and gender equality.
Eighty-six respondents (69%) answered that they did not finish schooling. The reasons for this illustrated in the chart below:
DINGXI LIVING CONDITIONS
Question 16: What household equipment/appliances/facilities do you have?
This question was intended to provide information on the amount of “timesaving” or “luxury” household items possessed by average households as an indication of quality of life. Notably, most households have TV’s, toilets and sewing machines. These and other items are ranked according to frequency in homes in the chart below:
Appliance |
Households having appliance(%) |
TV |
96% |
Toilet |
85% |
Sewing Machine |
81% |
Stereo |
69% |
Radio |
69% |
Washing machine |
23% |
VCR |
15% |
Refrigerator |
4% |
Other (repeat reading recorder) |
4% |
Question 17: What type of cooking appliances to you have? (Mark with an ü or if more than one, indicate % used)
This question was intended to provide information on the common cooking appliances used by households as an indication of quality of life and local energy consumption. Appliances were ranked according to frequency in households and how often they were used (as % of total overall time cooking) in the chart below.
All respondents (26) answered the question probing what types of cooking appliances they had in their homes. Crop residue stoves were highlighted as the most often used appliance being used 43% of the time. Also notable was that most households owned crop residue, coal and solar cooking appliances. No households surveyed (0%) indicated they used biogas for cooking. Those respondents that answered “other” did not specify what other materials they were using for cooking.
Cooking appliance in the home |
How often appliance is used (% of total time) |
% of households having appliance |
Standard Deviation (%) |
Crop residue |
43% |
92% |
20% |
Coal |
33% |
92% |
20% |
Solar oven |
19% |
85% |
12% |
Wood |
4% |
38% |
5% |
Others |
1% |
8% |
3% |
Bio-gas |
0% |
0% |
0% |
Question 18: How do you heat your home? (Mark with an ü or if more than one, indicate % used)
This question was intended to provide information on the common cooking fuels used by households as an indication of local energy consumption. It was determined that for heating, most households used much coal more than any other fuel. Fuels were ranked according to how often they were used (as % of total overall time cooking) in the chart below:
Fuel |
How often fuel is used (% of total time) |
Standard Deviation (%) |
Coal |
69% |
23% |
Crop residue |
17% |
17% |
Livestock manure |
9% |
13% |
Other |
5% |
11% |
Wood |
0% |
2% |
Question 19: Is your water safe to drink? (yes or no)
This question was intended to provide information on the quality of water available to households as an indication of quality of life and overall health.
It was found that 21 households (81%) surveyed perceive that their water is safe to drink.
Question 20: What is your source of water?
This question was intended to provide information on the quality of water available to households as an indication of quality of life and overall health. It was found that almost all households collect water from limited sources such as storage tanks that may only be renewed annually by rainwater during the rainy season. The breakdown of sources available is reported below:
Water source |
Households using source (%) |
Storage tank |
96% |
Hand Pump |
12% |
Other (fountain) |
12% |
Well |
4% |
Pipe borne |
0% |
Question 21: How do you store your water?
This question was intended to provide information on the quality of water available to households as an indication of quality of life and overall health. It was found that almost all households only have access to basic storage facilities consisting of clay barrels, jars or pots. The breakdown of water storage methods is reported below:
Water storage method |
Households using source (%) |
Clay barrel, jar or pot |
85% |
Bucket or tin pail |
50% |
Tank |
15% |
Piped water |
4% |
Question 22: What is your family’s most common form of personal and goods transport?
This question was intended to provide information on the common transportation methods used by households as an indication of quality of life and potential for market expansion. It was found that most households use push bicycles for personal transport and transport of goods. People also often used 3 wheel trucks for the transport of goods.
The breakdown of the most common form of personal transportation was reported as below:
Personal Transportation |
Households using transportation (%) |
Push Bicycle |
92% |
3 wheel truck |
15% |
Motor cycle |
12% |
Drawn cart |
8% |
Other |
4% |
Automobile |
0% |
Public Transport |
0% |
The breakdown of the most common form of goods transportation was reported as below:
Goods Transport |
Households using transport (%) |
Push Bicycle |
85% |
3 wheel truck |
58% |
Drawn cart |
4% |
4 Wheel truck |
4% |
DINGXI FOOD AND NUTRITION
Question 23: Do you have any seasonal food security problems? If yes, which months do you experience this?
This question was intended to provide information on food security perception in the community as an indication of quality of life. Only one household surveyed (4%) indicated they experience seasonal food security issues, pinpointing August to September as the most difficult months.
Question 24: What kind of foods does your family eat? (Please mark never, sometimes or often with an “ü”according to your frequency) Do you purchase the food or produce it yourself? (Indicate % purchased)
This question was intended to provide information on household nutrition, diversity of diet and food production in the watershed as indications of health and self-sufficiency. Foods were identified as either eaten never, sometimes or often and local farm production was also identified.
It was found that the main staples of the diet in the communities are wheat, potatoes and meat. Also eaten on a regular basis are vegetables and fruits, eggs, beans and fish. The breakdown of the most common foods that families surveyed eat is as follows:
Common Household Foods Eaten
|
% of households that eat item “often”
|
% of households that eat item “sometimes” |
Wheat |
92% |
0% |
Potato |
85% |
8% |
Meat |
58% |
38% |
Beans |
42% |
42% |
Vegetables |
31% |
50% |
Eggs |
27% |
69% |
Rice |
23% |
54% |
Fruit |
15% |
69% |
Dairy |
4% |
23% |
Fish |
0% |
58% |
Maize |
0% |
38% |
Other |
0% |
4% |
It was found that most rice, fish and vegetables are purchased as well as all dairy and corn. Most households consumed almost all of the items identified in the survey except for corn and dairy products. This indicates that families predominantly subsist on their own food resources rather than purchased items. The breakdown of the most common foods and the proportions they are purchased in is as follows:
Purchased Item |
% of people that eat item who must purchase it |
% of households that consume item |
Rice |
95% |
96% |
Fish |
76% |
96% |
Vegetables |
74% |
92% |
Wheat |
45% |
92% |
Fruit |
42% |
85% |
Meat |
11% |
85% |
Beans |
10% |
81% |
Potato |
0% |
77% |
Eggs |
0% |
58% |
Dairy |
100% |
38% |
Maize |
100% |
27% |
Question 25: What percentage of your total diet do you think you are producing on the farm?
This question was intended to provide information on food security in the watershed as an indication of self-sufficiency. On average, households surveyed indicated that they produce 88% (std.dev.9) of their total diet on their own farms.
Question 26: Which foods would you like to grow more of in the future?
This question was intended to provide information on interest in food and farm diversification in the watershed as an indication improved health, environment and self-reliance. It was found that farmers were most interested in livestock production including sheep and cattle. The breakdown of the interest found in households surveyed is portrayed in the chart below, listed from greatest to least interest in growing that product in the future:
Product |
% of farmers interested in this product |
Improved sheep |
58% |
Cow |
23% |
Vegetable |
15% |
Potato |
15% |
Herb Medicine |
15% |
Pig |
8% |
Pigeon for meat |
8% |
Donkey |
8% |
Goat |
4% |
Livestock |
4% |
Flax - edible oil |
4% |
Question 27: How could you improve your family’s nutrition?
This question was intended to provide information on the understanding of the importance of household nutrition and diversity of diet in the watershed (separate from food production and related income) as an indication of health and education. Families believed that vegetables were considerably the best method to improve family nutrition, followed by chicken and fruit. Some also mentioned organic and green food as important for family nutrition. The percentage of households that feel that they can improve their nutrition by including certain products in their diet is portrayed in the chart below:
Item for consumption |
% of farmers that believe item can improve family health |
Vegetables |
77% |
Chicken |
38% |
Fruit |
35% |
Organic food or “Green food” |
23% |
Pig |
15% |
Meat |
12% |
Sheep |
12% |
Egg |
8% |
Cattle |
4% |
Aquatics |
4% |
Potato |
4% |
*New seed varieties |
4% |
DINGXI HEALTH
Question 28: What types of illness is your family affected by? How often?
This question was intended to provide information on illnesses suffered in the households as an indication of quality of life and overall health. Families surveyed suffer from the following illnesses:
Question 29: What type of health facilities are available in your community?
This question was intended to provide information on the availability of health care in the communities as an indication of quality of life and overall health.
· Fifty percent (50%) of households surveyed indicated they had access to private local health practitioners
DINGXI RESPONSIBILITIES
Question 30: Who is responsible for making decisions in the household?
This question was intended to provide information on decision-making and gender equality in the households
Question 31: Please name the people in your house responsible for the following:
This question was intended to provide information on responsibility distribution and gender equality in the households. It was found that women were generally responsible for cooking, washing, cleaning, laundry, weeding and the care of others while men were generally responsible for plowing, planting, seeding and the provision of household fuels for cooking and heating. Most households also agreed that both women and men were responsible for livestock rearing and harvesting. The breakdown of responsibility for common household activities by gender is as follows:
Household / Farm tasks
|
% “Women” responsible |
% “Men” responsible |
% “Both” responsible |
Cooking |
92 |
0 |
8 |
Washing |
88 |
8 |
4 |
Cleaning |
85 |
4 |
12 |
Laundry |
73 |
8 |
19 |
Weeding |
60 |
12 |
28 |
Care of young/old |
46 |
15 |
38 |
Collecting fuel for cooking/heating |
30 |
70 |
0 |
Plowing |
23 |
65 |
12 |
Planting/seeding |
4 |
65 |
31 |
Livestock rearing |
9 |
26 |
65 |
Harvesting |
8 |
8 |
85 |
DINGXI OVERALL PERCEPTION
Question 32: If you had more income, how would you prioritize your spending? (Rank 1 as first to 5 as last)
This question was intended to provide information on the perception of priorities for development by the communities to ensure the project is adequately addressing local needs. It was found that education was the first and foremost priority for spending by the respondents. If households had more income, the breakdown on how respondents would prioritize their spending is, on average, as follows (ranked 1-5 with 1 being the most important):
Priority |
Rank |
Education |
1.6 |
Housing |
3.1 |
Clothing |
3.3 |
Other* |
3.7 |
Food |
4.3 |
Medical |
4.8 |
*Priorities in the “other” category include livestock, leisure and sons marriage.
Question 33: What is your general degree of satisfaction in life?
This question was intended to provide information on the degree of satisfaction respondents felt regarding various aspects of their lives according to the following scale
The results are an indication of overall perceptions on quality of life and to identify priorities for development. On average, household ranking of satisfaction is as follows:
Category
|
Numerical Ranking |
Translated Ranking |
Transportation |
2.52 |
Unsatisfactory |
Clothing |
3.1 |
Slightly above satisfactory |
Housing |
3.23 |
Slightly above satisfactory |
Environment/surroundings |
3.23 |
Slightly above satisfactory |
Diet |
3.24 |
Slightly above satisfactory |
Farming Sustainability |
3.38 |
Slightly above satisfactory |
Health Care |
3.44 |
Slightly above satisfactory |
Education |
3.52 |
Slightly above satisfactory |
Overall quality of life |
2.96 |
Slightly below satisfactory |
|
Question 34: What is the total land area that your household farms (mu)?
This question was intended to provide information on the agricultural resources of the sample populations as an indication of poverty, wealth and its distribution in the watershed.
Question 35: What field crops do you grow and how much area for each on your farm (mu)?
This question was intended to provide information on the agricultural resources, productivity and product diversity of the sample populations as an indication of poverty and agricultural sustainability in the watershed. It was found that the primary crop (by amount of land) was significantly potato, with wheat and pea as the second most common crops. The average amount of land dedicated to each crop (mu) indicated by respondents is listed in the following chart:
Crop |
Average amount of land (mu) |
Standard Deviation |
Potato |
5.20 |
2.08 |
Wheat |
3.02 |
3.64 |
Pea |
2.90 |
2.27 |
Alfalfa |
2.08 |
5.89 |
Flax - edible oil |
1.44 |
1.45 |
Lentils |
1.05 |
1.45 |
corn |
0.72 |
1.12 |
Bean |
0.54 |
1.33 |
Sorghum |
0.48 |
0.87 |
Grain |
0.46 |
0.95 |
Oat |
0.44 |
0.88 |
Forest |
0.35 |
1.77 |
Millet |
0.25 |
0.61 |
Herb Medicine |
0.15 |
0.61 |
Grass |
0.05 |
0.24 |
Question 36: What vegetables and fruit crops do you produce on your farm?
(mu)
This question was intended to provide information on the agricultural resources, productivity and product diversity of the sample populations as an indication of poverty and agricultural sustainability in the watershed. It was found that the primary fruit crop (by amount of land) was significantly fruit trees. The average amount of land dedicated to fruits (mu) indicated by respondents is listed in the following chart:
Fruit |
Average amount of land (mu) |
Standard Deviation |
Fruit trees |
0.12 |
0.29 |
Radish |
0.07 |
0.22 |
Pear |
0.05 |
0.14 |
Chinese onion |
0.05 |
0.25 |
Watermelon |
0.02 |
0.1 |
Vegetables |
0.02 |
0.1 |
Leek |
0.02 |
0.1 |
Apricots |
0.01 |
0.06 |
Cabbage |
0.01 |
0.06 |
Question 37: Do you have in hay crops and pasture on your farm? What is the area (mu)?
This question was intended to provide information on the agricultural resources, productivity and product diversity of the sample populations as an indication of poverty and agricultural sustainability in the watershed. It was found that on average farmers had 7 mu dedicated to permanent pastureland and a small amount dedicated to producing hay. The average amount of land dedicated to hay crops and pasture on farms (mu) indicated by respondents is as follows:
19 (73%) of farmers surveyed indicated they had no improved pasture land (or did not answer the question).
Question 38: Which of these practices do you employ on your farm? When did you implement them? Have you increased usage since you started? Would you like to further increase your usage or obtain more information on these subjects?
This question was intended to provide information on the frequency of farmers that utilized sustainable agricultural practices on their farms as an indication of agricultural sustainability in the watershed. This question is also to address training and education needs within the communities. It was found that most farmers practiced tree planting, carbon and nitrogen cycling, perennial plants and livestock forage, improved seeds, composting, and contour farming. The following percentages for use of each specified practice is found in the chart below:
Practice |
Number Practicing 2002 |
% Practicing 2002 |
Number Practicing 2003 |
% Practicing 2003 |
Planting trees on sloped lands |
25 |
96 |
25 |
96 |
High carbon crops |
24 |
92 |
24 |
92 |
N fixing crops |
23 |
88 |
25 |
96 |
Perennial forage for livestock |
23 |
88 |
25 |
96 |
Improved seed quality |
22 |
85 |
25 |
96 |
Composting manure |
21 |
81 |
22 |
85 |
Perennial crops |
21 |
81 |
23 |
88 |
Contour farming |
21 |
81 |
21 |
81 |
Improved crop rotation |
20 |
77 |
23 |
88 |
Increased Crop Diversity |
19 |
73 |
24 |
92 |
Windbreaks |
19 |
73 |
19 |
73 |
Increased crop varieties |
18 |
69 |
21 |
81 |
Tillage across the slope |
16 |
62 |
18 |
69 |
Reduced Chemical Fertilizer |
12 |
46 |
25 |
96 |
Mixed/strip/inter-cropping |
12 |
46 |
12 |
46 |
Reduced Herbicide |
9 |
35 |
14 |
54 |
Reduced Tillage |
8 |
31 |
13 |
50 |
Reduced Insecticide |
7 |
27 |
11 |
42 |
Reduced livestock grazing |
7 |
27 |
25 |
96 |
Reduced Fungicide |
6 |
23 |
8 |
31 |
Check dams |
5 |
19 |
5 |
19 |
Composting crop residues |
2 |
8 |
7 |
27 |
Leaving residues on field |
2 |
8 |
3 |
12 |
Green manure, cover cropping |
2 |
8 |
5 |
19 |
Drip Irrigation |
2 |
8 |
2 |
8 |
Soil testing |
1 |
4 |
1 |
4 |
Irrigation |
1 |
4 |
1 |
4 |
It was also found that there were increases in adoption rates from 2002 to 2003 for the following practices: nitrogen cycling, perennial plants and livestock forage, improved seeds, composting, crop rotation, crop diversity, windbreaks, increased varieties, tillage across the slope, reduced chemical fertilizer, tillage, insecticide and fungicide, reduced grazing, composting crop residues, leaving residues on field, green manure and drip irrigation.
Question 39: What types of livestock do you raise? (Indicate number of each) What are the main feeds you use to produce the livestock? Of these feeds, which do you purchase?
This question was intended to provide information on the livestock resources of the sample populations as an indication of poverty and agricultural sustainability in the watershed. It was found that on average, households had 4 chickens per household, with one pig, sheep and donkey. The breakdown of average number of animals per household is as below:
Animals |
Average number of animals per household |
Standard Deviation |
Chickens |
4.1 |
2.97 |
Pigs |
1.6 |
0.94 |
Sheep |
1.6 |
2.47 |
Donkeys |
1.1 |
0.78 |
Goats |
0.3 |
1.04 |
Cattle |
0.1 |
0.6 |
Mules |
0.1 |
0.33 |
Horses |
0 |
0 |
Households with livestock were asked what they fed their animals. Cattle, sheep, pigs and donkeys were generally fed crop redidue, whild sheep, pigs and chickens were also commonly fed corn. The breakdown of animal feed by number of farmers providing said feed is as below:
Animal |
% of Farmers owning animal that provide it with indicated feed
|
||||||||
Crop residue* |
Corn |
Millet |
Grain/Oat |
Potato |
Bran |
Alfalfa |
Sorghum |
Grass |
|
Cattle |
100 |
50 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Sheep |
78 |
56 |
0 |
0 |
0 |
0 |
33 |
0 |
11 |
Goats |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Pigs |
60 |
44 |
8 |
16 |
12 |
28 |
0 |
0 |
0 |
Chickens |
30 |
39 |
17 |
13 |
4 |
30 |
0 |
0 |
0 |
Mules |
33 |
33 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
Donkeys |
71 |
5 |
5 |
19 |
0 |
5 |
5 |
5 |
5 |
*The “crop residue” category includes straw, straw residue, wheat residue, flax residue and other crop residues.
Question 40: Name the field crop and vegetable seeds you currently attain from the following sources: Seed Stations; Private Breeders; Exchange with other farmers or Personal savings/collection
This question was intended to provide information on seed security in the watershed as an indication of self-sufficiency. It was found that seed stations provide most seeds for vegetables, corn and sorhgum while personal savings are responsible for the provision of lentil, oat, wheat, millet, bean, grain, flax, pea and potato seeds. The breakdown of where farming families source their seeds for major crops is as below:
Seed Type |
Seed Stations |
Private Breeders |
Exchange with other farmers |
Personal savings/collection |
Number of farmers surveyed |
Vegetables |
100 |
- |
- |
- |
2 |
Cabbage |
100 |
- |
- |
- |
1 |
Corn |
91 |
- |
- |
9 |
22 |
Sorghum |
79 |
21 |
- |
- |
14 |
Radish |
50 |
- |
- |
50 |
2 |
Lentils |
- |
- |
10 |
90 |
10 |
Oat |
- |
- |
20 |
80 |
5 |
Wheat |
13 |
- |
17 |
71 |
24 |
Millet |
- |
- |
33 |
67 |
3 |
Bean |
- |
- |
33 |
67 |
3 |
Grain |
- |
33 |
- |
67 |
3 |
Flax - edible oil |
8 |
- |
31 |
62 |
13 |
Pea |
14 |
- |
27 |
59 |
22 |
Potato |
14 |
12 |
26 |
48 |
42 |
Question 41: What are the major reasons preventing you from developing the practices mentioned above? (Rank 1-important to 5-not important)
This question was intended to provide information on barriers to farm development in the watershed as an indication of self-sufficiency and development priorities. Households felt the major reason they were not developing the sustainable agricultural practices was that there was a lack of financial incentive, too great of a risk and a land of information and capital. The breakdown of perceptions on barriers to farm development is as follows (ranked 1-5 with 1 being the most important):
Reason |
Rank |
Standard Deviation |
Lack of financial incentives |
2.7 |
1.6 |
Too great of a risk |
3.0 |
1.0 |
Lack of Information |
3.1 |
1.3 |
Lack of capital |
3.3 |
1.3 |
Might reduce income levels |
3.9 |
1.6 |
Lack of farm labour |
4.3 |
1.5 |
Not a high priority |
4.8 |
0.8 |
Other |
4.9 |
0.5 |
Question 42: What are your major sources of information for making decisions about management changes? (Mark with “ü”)
This question was intended to provide information on information sources about management changes as an indication of education and community capacity building as well as to identify links and networks within and outside of the community. Households felt the major sources for information were training courses, farmers to farmer conversation and meetings and personal experience and observation. The breakdown of information sources available to farmers is as follows, listed from greatest to least:
Source of Information |
% of farmers who indicate this source |
Training courses |
88% |
Word of mouth from farmers |
85% |
Personal experience/observation |
85% |
Farm Meetings |
81% |
Government extension staff |
65% |
Printed information |
50% |
Company officials |
50% |
Question 43: Overall what are your biggest information/training needs?
This question was intended to provide information on the perception of priorities for agricultural development by the communities to ensure the project is adequately addressing local needs. Households felt their biggest needs for training and information are soil fertility, weed and pest and disease management and new crops, however many topics were indicated to be very important to the farmers. The breakdown of interest in training and information needs is as follows, listed from greatest to least:
Training/info need |
% of farmers who indicate this need |
Soil fertility Management |
96% |
Weed Management |
96% |
Pest and disease Management |
92% |
New crops |
92% |
Farm Planning |
88% |
Crop rotation planning |
77% |
Livestock production |
77% |
Soil erosion control |
42% |
Marketing |
42% |
Water impounding and irrigation |
27% |
Other |
8% |
Question 44: Which new crops, fruits or vegetables would you like to try on your farm?
This question was intended to provide information on interest in food and farm diversification in the watershed as an indication improved health, environment and self-reliance. It was found that farmers were most interested in vegetables and potatoes, however many products were indicated to be of interest to the farmers. The breakdown of the interest found in households surveyed is portrayed in the chart below, listed from greatest to least interest in growing that product in the future:
Crop, Fruit or Vegetable |
% of interested farmers |
Vegetables |
50% |
Potato |
46% |
Animal Fodder/grass |
15% |
Fruit trees |
15% |
Wheat |
15% |
Chinese Cabbage |
12% |
Onion |
12% |
Herb Medicine |
8% |
Pea |
8% |
Tomatoes |
8% |
Chinese onion |
4% |
Cucumber |
4% |
Flax - edible oil |
4% |
Garlic |
4% |
Grapes |
4% |
Green bean |
4% |
Millet |
4% |
Radish |
4% |
Zhunger County, Inner Mongolia Autonomous Region, P.R.C.
Analysis of 2003 Results for Socio-Economic Survey
ZHUNGER Survey Administration
The WCAEV Socio-Economic survey was distributed June 5-9, 2003, to 20 households in Zhunger county, Inner Mongolia, P.R.C.
ZHUNGER DEMOGRAPHIC CHARACTERISTICS
Question 1: Please fill in the following chart for all household members including name; age; gender; Relationship to one another; Marital Status and Ethnic/Religious background:
This question was intended to provide basic tracking information on the sample populations so that individuals may be compared longitudinally over time. These demographic characteristics can also assist in understanding the basic dynamics of family structure, household composition, ethnicity and human resources in the watershed.
ZHUNGER FAMILY EMPLOYMENT, INCOME AND EXPENDITURE
Question 2: What is the amount of your total yearly family income (RMB)?
This question was intended to provide information on the income levels of the sample populations as an indication of poverty and wealth in the watershed.
This question was intended to provide information on employment levels and income sources in the watershed, as well as to provide information on the gender division of labour. Both the number of farmers (and gender) practicing each activity was counted along with the average income associated with that activity if practiced, as well as the cumulative sum of income for all respondents.
It was found that livestock raising is practiced by almost half of the respondents, followed by farming as the second most common activity. Overall in the sample, the primary income generating activity was livestock raising, followed by farming. By activity, labour, marketing and other activities were the most promising activities with the highest average incomes.
Annual Income Generating Activities and Household Participants by Gender |
Amount (¥) |
||||||
Activity |
Number of farmers |
Percent of farmers |
Number of men |
Number of women |
Sum of Annual Earnings (see chart below) |
Average Annual Earnings |
Standard deviation |
Livestock |
31 |
49% |
18 |
13 |
43,200 |
1394 |
872 |
Farming |
25 |
40% |
18 |
7 |
27,900 |
1116 |
864 |
Labourer |
6 |
10% |
5 |
1 |
13,600 |
2267 |
1874 |
Other |
6 |
10% |
2 |
4 |
13,500 |
2250 |
1425 |
Marketing |
1 |
2% |
1 |
0 |
2,100 |
2100 |
N/A |
Question 4: Of these income generating activities, which is on your farm (1), in the village (2), in a neighboring town (3) or in another location (4)?
This question was intended to provide additional information on income sources and employment location as an indication of labour-based migration out of the watershed. Both the average and the mode were compared with similar results:
Location for income generation |
Average |
Mode |
Agriculture |
1.0 |
1 |
Livestock |
1.6 |
2 |
Laborer |
4.0 |
4 |
Marketing |
2.0 |
2 |
Other |
2.8 |
2 |
Question 5: Of farm-generated income, what are your major products and how much income do you generate from each every year? How much do you sell them for and where do you sell them?
This question was intended to provide additional information on income sources; both the average and the total survey sum for all participants in the household were determined. The results from the survey indicate that many cash crops are commonly produced in the farming communities. Please refer to question 35 for the land amounts associated with these crops. The major income generator in Zhunger appears to be sheep and livestock, with sunflower and wheat as the highest income generators for agricultural crops. The bulk of these products were sold to local businessmen who then arranged their transfer to markets for sale. The most common agricultural products are ranked as follows from highest income earnings to least:
Farm Product |
Average Annual Earnings (¥) (see chart below) |
Sum of Annual Earnings (¥) |
Standard Deviation of the sum (¥) |
Sheep (including sheep, wool and cashmere) and Goats |
785 |
15,700 |
1069 |
Sunflower |
265 |
5,300 |
526 |
Wheat |
250 |
5,000 |
1118 |
Livestock |
225 |
4,500 |
1006 |
Other |
50 |
1,000 |
224 |
Carragana seeds |
15 |
300 |
67 |
Bean |
20 |
400 |
62 |
Potato |
5 |
100 |
22 |
Question 6: How much time do family members spend working per week?
This question was intended to provide information on the time spent working as an indication of employment and quality of life.
The average farmer in the Zhunger survey spends 61 hours (std. dev.14) working per week, with men working an average of 62 hours (std. dev.6) a week and women working 59 (std. Dev.11). The highest amount of average hours worked per week was 84.
Question 7: How much free time per week do family members usually have during the busy and the slack farming seasons? What activities do you do?
This question was intended to provide information on the amount of free time available as an indication of the average quality of life.
The average farmer in the Zhunger survey has 57 hours (std. dev.5) of free time per week, with men having an average of 55 hours (std. dev.1) a week and women having 58 (std. dev.6). Men mostly spent their free hours taking care of livestock or doing housework, while the women spent most of their time doing housework. Some of the participants also mentioned they spent some of their free time training other farmers in the WCAEV farmer-to-farmer training program.
This question was intended to provide information on expenditures by household and farm as an indication of poverty and quality of life. Both the average and the median were compared with somewhat differing results for average household expenditures:
Details of the Average Annual Household Expenditures (¥) are as follows:
Household expenditures (per year) |
Amount (¥) |
Sum of Total Yearly Expenditures |
5771 |
Education |
1525 |
Medical |
843 |
Debt |
800 |
Other |
579 |
Leisure, entertainment, hobbies |
577 |
heating, fuel, electricity, transportation |
478 |
Alcohol/cigarettes |
432 |
Clothing |
345 |
Food |
141 |
Agricultural tax |
52 |
Details of the Average Annual Farm Expenditures (¥) are as follows:
Farm Expenditures (per year) |
Amount (¥) |
Sum of Total Farm Expenditures |
531 |
Fertilizers |
321 |
Seeds |
100 |
Labour |
58 |
Pesticides |
24 |
Tools |
20 |
Other Agricultural |
10 |
Question 10: How much money do you save every year (RMB)?
This question was intended to provide information on the net income of households as an indication of poverty and quality of life. Both the average and the median were compared with very different results:
The average amount of money saved per household surveyed is 620 ¥/year, with a median value of 0 ¥/year indicating at least half of the savings values are below 0. Standard deviation of this mean was 1121¥. An uneven distribution of savings was noted, with 14 households (70%) indicating they had zero savings (or did not answer the question). It was probably these few high values that increased the mean so significantly, referring to the median value in this case would be a more accurate representation of the local situation.
Question 12: Do you have credit? Please indicate how much (RMB) with each creditor?
This question was intended to provide information on the net income of households as an indication of poverty as well as to identify links and networks within and outside of the community:
Households surveyed reported an average amount of total debt of 2850 ¥ with 1050 ¥ of that owed in credit to Banking Institutions, and 1800 ¥ owed to family members. Only 7 households (35%) indicated they owed money to banking institutions, while another 7 households (35%) indicated they owed money family members. As the majority of the sample did not have loans, it was likely that a handful of families with high loans raised the value of the average debt and created the large standard deviation. No loans were reported from community associations or other institutions from the survey group.
Question 13: Who is in charge of the financial administration in the household?
This question was intended to provide information on decision-making and gender equality in the households.
It was noted that in 14 households (70%) males are in charge of the financial decisions. However, 5 out of 20 (25%) households indicated it was solely the women who were in charge, while one household indicated that the decisions were made jointly.
ZHUNGER EDUCATION
Question 14: Education of family members according to the following scale: No schooling (0); Attended Primary (1); Completed Primary (2); Attended High School (3); Completed High School (4); or higher education (5) and age when starting school?
This question was intended to provide information on education as an indication of social development and quality of life. The educational levels were regarded as continuous variables (as opposed to intervals) and averaged to find the typical amount of schooling for both men and women.
Question 15: If schooling is incomplete, what is the reason? (specify name of individual, age and gender)
This question was intended to provide information on education as an indication of social development, community capacity, overall quality of life and gender equality.
ZHUNGER LIVING CONDITIONS
Question 16: What household equipment/appliances/facilities do you have?
This question was intended to provide information on the amount of “timesaving” or “luxury” household items possessed by average households as an indication of quality of life. Notably, most households have TV’s, sewing machines, and toilets. These and other items are ranked according to frequency in homes in the chart below:
Appliance |
Percentage of households having appliance |
TV |
95% |
Sewing Machine |
75% |
Toilet |
65% |
Stereo |
55% |
Radio |
35% |
Washing machine |
10% |
Refrigerator |
10% |
Other |
10% |
VCR |
5% |
Question 17: What type of cooking appliances to you have? (Mark with an ü or if more than one, indicate % used)
This question was intended to provide information on the common cooking appliances used by households as an indication of quality of life and local energy consumption. Appliances were ranked according to frequency in households and how often they were used (as % of total overall time cooking) in the chart below.
Ninety percent of respondents (18) answered some or all of the questions probing what types of cooking appliances they had in their homes. Coal stoves were highlighted as the most often used appliance being used 81% of the time. Also notable was that most households owned coal cooking appliances, along with crop residue and wood combustion appliances. No households surveyed (0%) indicated they used biogas, solar ovens or “other appliances” for cooking. Also notable was that 90 % of households surveyed believed that they used a ratio of 10:10:80 Wood:Crop residue: coal to cook in their homes. One household felt they used 10:90 Wood: Coal, another felt they used 10:90 Crop residue: coal.
Cooking appliance in the home |
How often appliance is used (% of total time) |
% of households having appliance |
Standard Deviation (%) |
Coal |
81% |
100% |
3% |
Wood |
9.5% |
95% |
2% |
Crop residue |
9.5% |
95% |
2% |
Solar oven |
0% |
0% |
0% |
Bio-gas |
0% |
0% |
0% |
Question 18: How do you heat your home? (Mark with an ü or if more than one, indicate % used)
This question was intended to provide information on the common cooking fuels used by households as an indication of local energy consumption. It was determined that for heating, most households used coal much more than any other fuel. Fuels were ranked according to how often they were used (as % of total overall time cooking) in the chart below:
Fuel |
How often fuel is used (% of total time) |
Standard Deviation (%) |
Coal |
100% |
0% |
Crop residue |
10.5% |
0.3% |
Wood |
10.5% |
0.3% |
Other |
0% |
0% |
Question 19: Is your water safe to drink? (yes or no)
This question was intended to provide information on the quality of water available to households as an indication of quality of life and overall health.
It was found that 16 households (80%) surveyed perceive that their water is safe to drink
Question 20: What is your source of water?
This question was intended to provide information on the quality of water available to households as an indication of quality of life and overall health. It was found that the majority of households collect water from limited sources such as wells or storage tanks that may only be renewed annually by rainwater during or after the rainy season. The breakdown of sources available is reported below:
Water source |
Households using source (%) |
Well |
75% |
Storage tank |
5% |
Storage tank and well |
20% |
Hand Pump |
0% |
Other |
0% |
Pipe borne |
0% |
Question 21: How do you store your water?
This question was intended to provide information on the quality of water available to households as an indication of quality of life and overall health. It was found that all households only have access to basic storage facilities consisting of clay barrels, jars or pots. The breakdown of water storage methods is reported below:
Water storage method |
Households using source (%) |
Clay barrel, jar or pot |
100% |
Bucket or tin pail |
0% |
Tank |
0% |
Piped water |
0% |
Question 22: What is your family’s most common form of personal and goods transport?
This question was intended to provide information on the common transportation methods used by households as an indication of quality of life and potential for market expansion. It was found that most households use push bicycles and drawn carts for personal transport. The transport of goods is often done by drawn carts or 3-wheel trucks, followed by push bicycles.
The breakdown of the most common form of personal transportation was reported as below:
Personal Transportation |
Households using transportation (%) |
Push Bicycle |
60% |
Drawn cart |
55% |
3 wheel truck |
45% |
Motor cycle |
5% |
Automobile |
0% |
Public Transport |
0% |
Other |
0% |
The breakdown of the most common form of goods transportation was reported as below:
Goods Transport |
Households using transport (%) |
Drawn cart |
60% |
3 wheel truck |
55% |
Push Bicycle |
35% |
4 Wheel truck |
10% |
3 wheel truck |
0% |
Other |
0% |
ZHUNGER FOOD AND NUTRITION
Question 23: Do you have any seasonal food security problems? If yes, which months do you experience this?
This question was intended to provide information on food security perception in the community as an indication of quality of life. It was found that 100% of households surveyed indicated they did not experience any seasonal food security issues
Question 24: What kind of foods does your family eat? (Please mark never, sometimes or often with an “ü”according to your frequency) Do you purchase the food or produce it yourself? (Indicate % purchased)
This question was intended to provide information on household nutrition, diversity of diet and food production in the watershed as indications of health and self-sufficiency. Foods were identified as either eaten never, sometimes or often and local farm production was also identified.
It was found that the main staples of the diet in the communities are wheat and potatoes. Also eaten on a regular basis are rice, meat, vegetables and fruits, eggs, beans and fish. The breakdown of the most common foods that families surveyed eat is as follows:
Food the Household eats
|
% of households that eat item “often”
|
% of households that eat item “sometimes” |
Potato |
100% |
0% |
Wheat |
85% |
15% |
Rice |
45% |
55% |
Meat |
40% |
55% |
Vegetables |
35% |
60% |
Eggs |
25% |
65% |
Fruit |
20% |
75% |
Beans |
15% |
85% |
Fish |
0% |
85% |
dairy |
0% |
15% |
Maize |
5% |
5% |
Other |
0% |
0% |
It was found that most rice, fish and vegetables are purchased as well as all dairy and corn. Most households consumed almost all of the items identified in the survey except for corn and dairy products. This indicates that families predominantly subsist on their own food resources rather than purchased items. The breakdown of the most common foods and the proportions they are purchased in is as follows:
Purchased Item |
% of people that eat item who must purchase it |
% of households that consume item |
Rice |
95% |
100% |
Fish |
76% |
85% |
Vegetables |
74% |
95% |
Wheat |
45% |
100% |
Fruit |
42% |
95% |
Meat |
11% |
95% |
Beans |
10% |
100% |
Potato |
0% |
100% |
Eggs |
0% |
90% |
Dairy |
100% |
15% |
Maize |
100% |
10% |
Question 25: What percentage of your total diet do you think you are producing on the farm?
This question was intended to provide information on food security in the watershed as an indication of self-sufficiency. On average, households surveyed indicated that they produce 70% (std.dev.7.5) of their total diet on their own farms.
Question 26: Which foods would you like to grow more of in the future?
This question was intended to provide information on interest in food and farm diversification in the watershed as an indication improved health, environment and self-reliance. It was found that farmers were most interested in producing corn (currently must purchase all of this) and improved sheep. Millet, potato and Chinese yam were also of interest. The breakdown of the interest found in households surveyed is portrayed in the chart below, listed from greatest to least interest in growing that product in the future:
Product |
% of farmers interested in this product |
Corn |
75% |
Improved sheep |
75% |
Millet |
35% |
Potato |
25% |
Chinese Yam |
20% |
Goat |
15% |
Green bean |
10% |
Fruit |
10% |
Cow |
10% |
Vegetable |
5% |
Grains |
5% |
Hay |
5% |
Sunflower |
5% |
Seed melon |
5% |
Pea |
5% |
Local grass |
5% |
Livestock |
5% |
Question 27: How could you improve your family’s nutrition?
This question was intended to provide information on the understanding of the importance of household nutrition and diversity of diet in the watershed (separate from food production and related income) as an indication of health and education. Families believed that vegetables were considerably the best method to improve family nutrition, followed by beans and fruit. Some also mentioned eggs and peas as important for family nutrition. The percentage of households that feel that they can improve their nutrition by including certain products in their diet is portrayed in the chart below:
Item for consumption |
% of farmers that believe item can improve family health |
Vegetables |
70% |
Bean |
60% |
Fruit |
35% |
Egg |
10% |
Pea |
5% |
ZHUNGER HEALTH
Question 28: What types of illness is your family affected by? How often?
This question was intended to provide information on illnesses suffered in the households as an indication of quality of life and overall health. Families surveyed suffer from the following illnesses:
Question 29: What type of health facilities are available in your community?
This question was intended to provide information on the availability of health care in the communities as an indication of quality of life and overall health.
· Forty percent (40%) of households surveyed indicated they had access to private local health practitioners only
ZHUNGER RESPONSIBILITIES
Question 30: Who is responsible for making decisions in the household?
This question was intended to provide information on decision-making and gender equality in the households
Question 31: Please name the people in your house responsible for the following:
This question was intended to provide information on responsibility distribution and gender equality in the households. It was found that women were generally responsible for cooking, washing, laundry, cleaning and the care of others while men were generally responsible for plowing, planting, seeding and the provision of household fuels for cooking and heating. Most households also agreed that both women and men were responsible for livestock rearing, weeding and harvesting. The breakdown of responsibility for common household activities by gender is as follows:
Household / Farm tasks
|
% “Women” responsible |
% “Men” responsible |
% “Both” responsible |
Cooking |
100 |
0 |
0 |
Washing |
100 |
0 |
0 |
Laundry |
100 |
0 |
0 |
Cleaning |
84 |
5 |
11 |
Care of young/old |
59 |
12 |
29 |
Collecting fuel for cooking/heating |
0 |
100 |
0 |
Plowing |
0 |
85 |
15 |
Planting/seeding |
0 |
80 |
20 |
Livestock rearing |
5 |
15 |
80 |
Weeding |
0 |
10 |
90 |
Harvesting |
0 |
10 |
90 |
ZHUNGER OVERALL PERCEPTION
Question 32: If you had more income, how would you prioritize your spending? (Rank 1 as first to 5 as last)
This question was intended to provide information on the perception of priorities for development by the communities to ensure the project is adequately addressing local needs. It was found that housing was the first and foremost priority for spending by the respondents, followed by education and food. This indicates the inhabitants experience a more day-to-day existence with concerns about the provision of basic goods. If households had more income, the breakdown on how respondents would prioritize their spending is, on average, as follows (ranked 1-5 with 1 being the most important):
Priority |
Rank |
Housing |
2.1 |
Education |
2.4 |
Food |
2.6 |
Clothing |
3.7 |
Other* |
4.4 |
*Priorities in the “other” category include marriage, purchase of motorcycle, build sheep ranch etc.
Question 33: What is your general degree of satisfaction in life?
This question was intended to provide information on the degree of satisfaction respondents felt regarding various aspects of their lives according to the following scale
The results are an indication of overall perceptions on quality of life and to identify priorities for development. On average, household ranking of satisfaction is as follows:
Category
|
Numerical Ranking |
Translated Ranking |
Diet |
3.7 |
Satisfied |
Transportation |
3.35 |
Above satisfactory-satisfied |
Farming Sustainability |
3.25 |
Above satisfactory-satisfied |
Clothing |
3.05 |
Satisfactory |
Housing |
2.95 |
Slightly below satisfactory |
Health Care |
2.9 |
Slightly below satisfactory |
Environment/surroundings |
2.85 |
Slightly below satisfactory |
Education |
2.32 |
Unsatisfied |
Overall quality of life |
2.95 |
Slightly below satisfactory |
|
Question 34: What is the total land area that your household farms (mu)?
This question was intended to provide information on the agricultural resources of the sample populations as an indication of poverty, wealth and its distribution in the watershed.
Question 35: What field crops do you grow and how much area for each on your farm (mu)?
This question was intended to provide information on the agricultural resources, productivity and product diversity of the sample populations as an indication of poverty and agricultural sustainability in the watershed. It was found that the primary crops (by amount of land) were significantly corn and millet, with potato and sunflower as the second most common crops. The average amount of land dedicated to each crop (mu) indicated by respondents is listed in the following chart:
Crop |
Average amount of land (mu) |
Standard Deviation |
Corn |
3.6 |
2.3 |
Millet |
3.5 |
2.6 |
Potato |
2.3 |
1.5 |
Sunflower |
1.6 |
2.1 |
Bean |
0.6 |
1.0 |
Chinese Yam |
0.5 |
1.3 |
Seed melon |
0.5 |
1.6 |
Squash |
0.4 |
1.1 |
Pea |
0.3 |
1.1 |
Grain |
0.2 |
0.4 |
Blackbean |
0.2 |
0.5 |
Canola |
0.2 |
0.7 |
Oat |
0.1 |
0.5 |
Flax - edible oil |
0.1 |
0.5 |
Soybean |
0.1 |
0.2 |
Other |
0.0 |
0.0 |
Question 36: What vegetables and fruit crops do you produce on your farm?
(mu)
This question was intended to provide information on the agricultural resources, productivity and product diversity of the sample populations as an indication of poverty and agricultural sustainability in the watershed. It was found that the primary fruit crop (by amount of land) was significantly apricots, followed by apple trees. The average amount of land dedicated to fruits (mu) indicated by respondents is listed in the following chart:
Fruit |
Average amount of land (mu) |
Standard Deviation |
Apricots |
0.75 |
1.59 |
Apple |
0.4 |
0.94 |
Pear |
0.11 |
0.45 |
Bean |
0.07 |
0.13 |
Squash |
0.07 |
0.13 |
Cucumber |
0.06 |
0.22 |
Kidney Bean |
0.03 |
0.06 |
Cabbage |
0.02 |
0.03 |
Radish |
0.02 |
0.07 |
Green pepper |
0.02 |
0.09 |
Turnip |
0.02 |
0.07 |
Tomatoes |
0.01 |
0.03 |
Watermelon |
0.01 |
0.04 |
Persimmons |
0.0045 |
0.01 |
Vegetables |
0.003 |
0.01 |
Question 37: Do you have in hay crops and pasture on your farm? What is the area (mu)?
This question was intended to provide information on the agricultural resources, productivity and product diversity of the sample populations as an indication of poverty and agricultural sustainability in the watershed. It was found that on average farmers had 12 mu dedicated to permanent pastureland, 15 to improved pasture and 16 mu dedicated to producing hay. The average amount of land dedicated to hay crops and pasture on farms (mu) indicated by respondents is as follows:
(15% of farmers surveyed indicated they had no improved pasture land)
(25% of farmers surveyed indicated they had no permanent pasture land)
Question 38: Which of these practices do you employ on your farm? When did you implement them? Have you increased usage since you started? Would you like to further increase your usage or obtain more information on these subjects?
This question was intended to provide information on the frequency of farmers that utilized sustainable agricultural practices on their farms as an indication of agricultural sustainability in the watershed. This question is also to address training and education needs within the communities. It was found that most farmers practiced crop rotations, biological nitrogen cycling, composting, perennial plants for livestock forage and reduced livestock grazing. The following percentages for use of each specified practice is found in the chart below:
Practice |
Number Practicing 2002 |
% Practicing 2002 |
Number Practicing 2003 |
% Practicing 2003 |
N fixing crops |
19 |
95 |
19 |
95 |
Improved crop rotation |
17 |
85 |
19 |
95 |
Composting manure |
17 |
85 |
17 |
85 |
Perennial forage for livestock |
16 |
80 |
17 |
85 |
Reduced livestock grazing |
14 |
70 |
19 |
95 |
Planting trees on sloped lands |
13 |
65 |
14 |
70 |
Reduced Fertilizer |
13 |
65 |
13 |
65 |
Mixed/strip/inter-cropping |
12 |
60 |
13 |
65 |
Tillage across the slope |
12 |
60 |
12 |
60 |
High carbon crops |
12 |
60 |
12 |
60 |
Improved seed quality |
6 |
30 |
12 |
60 |
Crop Diversity |
5 |
25 |
11 |
55 |
Perennial crops |
3 |
15 |
3 |
15 |
Irrigation |
2 |
10 |
5 |
25 |
Soil testing |
2 |
10 |
2 |
10 |
Composting crop residues |
2 |
10 |
2 |
10 |
Reduced Herbicide |
1 |
5 |
1 |
5 |
Reduced Insecticide |
1 |
5 |
1 |
5 |
Reduced Tillage |
1 |
5 |
1 |
5 |
Leaving residues on field |
1 |
5 |
1 |
5 |
Contour farming |
1 |
5 |
1 |
5 |
Check dams |
1 |
5 |
1 |
5 |
Increased crop varieties |
0 |
0 |
8 |
40 |
Reduced Fungicide |
0 |
0 |
0 |
0 |
Green manure, cover cropping |
0 |
0 |
0 |
0 |
Windbreaks |
0 |
0 |
0 |
0 |
Drip Irrigation |
0 |
0 |
0 |
0 |
It was also found that there were increases in adoption rates from 2002 to 2003 for the following practices: improved crop rotation, perennial plants for livestock forage, reduced livestock grazing, planting trees on sloped land, improved seed quality, increased crop diversity, increased number of crop varieties and irrigation.
Question 39: What types of livestock do you raise? (Indicate number of each) What are the main feeds you use to produce the livestock? Of these feeds, which do you purchase?
This question was intended to provide information on the livestock resources of the sample populations as an indication of poverty and agricultural sustainability in the watershed. It was found that on average, households had 14 goats per household, with 5 sheep, 5n chickens and 2 pigs. The breakdown of average number of animals per household is as below:
Animals |
Average number of animals per household |
Standard Deviation |
Goats |
13.8 |
12.62 |
Sheep |
5.2 |
5.98 |
Chickens |
4.7 |
3.87 |
Pigs |
1.6 |
0.69 |
Mules |
0.4 |
0.49 |
Donkeys |
0.4 |
0.6 |
Cattle |
0 |
0 |
Horses |
0 |
0 |
Households with livestock were asked what they fed their animals.
Question 40: Name the field crop and vegetable seeds you currently attain from the following sources: Seed Stations; Private Breeders; Exchange with other farmers or Personal savings/collection
This question was intended to provide information on seed security in the watershed as an indication of self-sufficiency. It was found that seed stations provide most seeds for corn, watermelon, kidney beans, cucumber, cabbage, tomato, radish, melon, squash and other vegetables, while personal savings are responsible for the provision of oat, beans, grains sunflower and Chinese yam. Farmers also often save their own millet seed or exchange it with other farmers. The breakdown of where farming families source their seeds for major crops is as below:
Seed Type |
Seed Stations |
Private Breeders |
Exchange with other farmers |
Personal savings/collection |
Number of farmers surveyed |
Corn |
86 |
5 |
5 |
5 |
21 |
Watermelon |
100 |
- |
- |
- |
6 |
Millet |
- |
4 |
50 |
46 |
26 |
Potato |
- |
- |
45 |
55 |
11 |
Oat |
- |
- |
- |
100 |
1 |
Bean |
17 |
- |
- |
83 |
6 |
Grain |
- |
- |
- |
100 |
3 |
Chinese Yam |
- |
5 |
37 |
58 |
19 |
Sunflower |
50 |
- |
- |
50 |
2 |
Kidney Bean |
100 |
- |
- |
- |
1 |
cucumber |
100 |
- |
- |
- |
8 |
Cabbage |
100 |
- |
- |
- |
2 |
Tomato |
100 |
- |
- |
- |
3 |
Radish |
100 |
- |
- |
- |
2 |
Melon |
100 |
- |
- |
- |
2 |
Squash |
100 |
- |
- |
- |
2 |
Vegetables |
100 |
- |
- |
- |
2 |
Question 41: What are the major reasons preventing you from developing the practices mentioned above?
This question was intended to provide information on barriers to farm development in the watershed as an indication of self-sufficiency and development priorities. Households felt the major reason they were not developing the sustainable agricultural practices was that there was a lack of information, capital and financial incentives. The breakdown of perceptions on barriers to farm development is as follows (ranked 1-5 with 1 being the most important):
Reason |
% of farmers who indicate reason |
Lack of Information |
100 % |
Lack of capital |
95 % |
Lack of financial incentives |
90 % |
Might reduce income levels |
85 % |
Too great of a risk |
65 % |
Lack of farm labour |
50 % |
Other |
5 % |
Not a high priority |
0 % |
Question 42: What are your major sources of information for making decisions about management changes? (Mark with “ü”)
This question was intended to provide information on information sources about management changes as an indication of education and community capacity building as well as to identify links and networks within and outside of the community. Households felt the major sources for information were government extension staff, personal experience and observation, printed information and training courses. Farmer to farmer exchanges and meetings are not evidenced as that important. The breakdown of information sources available to farmers is as follows, listed from greatest to least:
Source of Information |
% of farmers who indicate this source |
Government extension staff |
90 % |
Personal experience/observation |
90 % |
Printed information |
90 % |
Training courses |
85 % |
Word of mouth from farmers |
65 % |
Farm Meetings |
20 % |
Company officials |
5 % |
Question 43: Overall what are your biggest information/training needs?
This question was intended to provide information on the perception of priorities for agricultural development by the communities to ensure the project is adequately addressing local needs. Households felt their biggest needs for training and information are crop rotation management, farm planning and new crops, however many topics were indicated to be very important to the farmers. The breakdown of interest in training and information needs is as follows, listed from greatest to least:
Training/info need |
% of farmers who indicate this need |
Crop rotation planning |
95 % |
Farm Planning |
95 % |
New crops |
95 % |
Livestock production |
90 % |
Soil erosion control |
90 % |
Soil fertility Management |
90 % |
Pest and disease Management |
85 % |
Weed Management |
85 % |
Marketing |
65 % |
Water impounding and irrigation |
65 % |
Other |
0 % |
Question 44: Which new crops, fruits or vegetables would you like to try on your farm?
This question was intended to provide information on interest in food and farm diversification in the watershed as an indication improved health, environment and self-reliance. It was found that farmers were most interested in corn, grapes and cucumber, however many products were indicated to be of interest to the farmers. The breakdown of the interest found in households surveyed is portrayed in the chart below, listed from greatest to least interest in growing that product in the future:
Crop, Fruit or Vegetable |
% of farmers who would like to try this |
Corn |
70 % |
Grapes |
70 % |
Cucumber |
65 % |
Apple |
40 % |
Millet |
35 % |
Tomatoes |
30 % |
Peach |
25 % |
Green grains |
20 % |
Pear |
15 % |
Persimmons |
15 % |
Potato |
15 % |
Bean |
10 % |
Date |
10 % |
Kidney Bean |
10 % |
Watermelon |
10 % |
Apricot |
5 % |
Chinese Yam |
5 % |
Eggplant |
5 % |
Green bean |
5 % |
Green Pepper |
5 % |
Squash |
5 % |
[JP1]The analysis of the environmental situation should be more focused, highlighting the specific context for this project and the problems of poor regions in the west.