2006年-世界发展银行全球_Small_Farmers_in_Developing_Countries___Some_Results_of_Household_Surveys_Data_Analysis_43页_316kb

Summary of "Small Farmers in Developing Countries: Some Results of Household Surveys Data Analysis"

Core Content

This document presents an analysis of the socio-economic changes among small farmers in developing countries, based on data from household surveys standardized by the World Bank. The focus is on the evolution of rural household structures and welfare outcomes in Africa, Asia, and Latin America over two time periods: the beginning of the 1990s and the 2000s. The analysis includes:

• Economic activity distribution across different rural household categories.
• Socio-demographic changes, including gender distribution, average age, household size, and the proportion of households with female heads.
• Literacy and education levels of household members over time, with a focus on relative differences and gaps between groups.

Main Categories of Rural Economies

The following seven categories of rural economies were defined based on the labor activity of the household head:

1. Self-employed agriculture (proxy for small farmers)
2. Employer agriculture (proxy for landowners)
3. Employee agriculture
4. Self-employed not agriculture
5. Employer not agriculture
6. Employee not agriculture
7. Not in the labor force (unemployed)

Key Findings

Africa

Table 1a: Proportion of Rural Households by Economic Activity

• Burkina Faso: Increase in self-employed agriculture and agricultural households, decrease in non-agricultural self-employment.
• Ghana: Major increase in self-employed agriculture, mostly from employees in agriculture. Indicates a shift towards small farming.
• Madagascar: Similar trend to Ghana, with a significant rise in self-employed agriculture and a decrease in non-agricultural employment.
• Malawi: Sharp decline in self-employed agriculture, with a significant increase in non-labor households. Possibly linked to the impact of AIDS.
• Uganda: Shift towards non-agricultural self-employment, while small farming households decreased slightly.

Table 2a: Socio-demographic Changes

• Female proportion: Similar to the national 1:1 ratio, suggesting no strong rural-urban migration of women.
• Average age: Decreased in Malawi and Uganda, but increased in others. In Madagascar, the average age dropped to 24 years in 2001.
• Household size: Generally remained large, with some exceptions.
• Feminization: Observed in most countries, except for Colombia and Paraguay.

Table 3a: Literacy Rates

• Improvement over time: All countries showed significant improvements in literacy rates among small farming households, especially those with initially low rates (Ghana, Malawi).
• Divergence in literacy: Small farmers generally had the lowest literacy rates, except in Uganda, where they were catching up with non-agricultural households.
• Gaps: The literacy gap between small farmers and non-agricultural households decreased in some countries, indicating progress.

Asia

Table 1b: Proportion of Rural Households by Economic Activity

• Cambodia: Decline in self-employed agriculture, with a rise in non-agricultural employment.
• India: Slight decrease in self-employed agriculture, with a general trend of decreasing agricultural-based households.
• Indonesia: Decline in self-employed agriculture, with a rise in non-agricultural self-employment.
• Pakistan: Major shift from agricultural self-employment to non-agricultural employment, indicating a significant change in economic structure.
• Thailand: Slight increase in self-employed agriculture, but a notable aging trend in small farming households.

Table 2b: Socio-demographic Changes

• Female proportion: In Cambodia, it increased, but in most countries, it decreased over time, likely due to rural-urban migration.
• Average age: Increased in most countries, except for Guatemala.
• Household size: Generally decreased, with some exceptions.
• Feminization: Observed in most countries, with the exception of Colombia and Paraguay.

Table 3b: Education Levels

• Education levels: Declined in most countries, but some showed improvements.
• Gaps: Small farmers generally had lower education levels, with the exception of Uganda.
• Divergence: Noted in most countries, with non-agricultural households improving faster.

Latin America

Table 1c: Proportion of Rural Households by Economic Activity

• Chile: Slight increase in self-employed agriculture, decrease in non-agricultural employment.
• Colombia: Increase in self-employed agriculture, decrease in non-agricultural employment.
• Costa Rica: Slight increase in the proportion of women in small farming households.
• Guatemala: Notable decrease in average age, likely due to socio-political changes.
• Honduras: Increase in self-employed agriculture, decrease in non-agricultural employment.
• Mexico: Decrease in self-employed agriculture, increase in non-agricultural employment.
• Nicaragua: Sharp increase in the proportion of women in small farming households.
• Paraguay: Increase in self-employed agriculture, decrease in non-agricultural employment.
• Perú: Increase in self-employed agriculture, decrease in non-agricultural employment.

Table 2c: Socio-demographic Changes

• Female proportion: Decreased in most countries, except for Nicaragua.
• Average age: Increased in most countries, except for Guatemala.
• Household size: Generally decreased.
• Feminization: Observed in all countries except Colombia and Paraguay.

Table 3c: Literacy and Education

• Literacy rates: Improved over time in most countries.
• Education levels: Declined in some, but improved in others.
• Gaps: Divergence in education levels between groups, with non-agricultural households improving faster.

Key Trends and Patterns

• Agricultural self-employment decline: Observed in most countries, with exceptions like Thailand and Ghana.
• Non-agricultural employment rise: Seen in many countries, especially in Asia and Latin America.
• Socio-demographic changes: Aging population in most countries, smaller household sizes, and feminization in small farming households.
• Gender distribution: Mixed trends, with some countries showing an increase in the proportion of women in small farming households.
• Literacy and education: Significant improvements in literacy, especially in countries with initially low levels, but mixed trends in education levels.

Conclusion

The analysis reveals a complex and varied picture of changes in small farming households across developing countries. While some countries show a decline in agricultural self-employment and a shift towards non-agricultural activities, others experience growth in small farming. Socio-demographic trends indicate aging populations and feminization, with mixed effects on household size and gender distribution. Literacy and education levels have generally improved, but there are divergences in the rate of improvement across different economic groups. These findings highlight the need for targeted policies to support small farmers and address the challenges they face in the context of economic and social changes.