Reading Tealeaves on the Potential Impact of the Privatization of Tea Estates in Rwanda
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World Bank, Washington, DC
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The Poverty Reduction Strategy of the
Government of Rwanda seeks to unlock the growth and poverty
reduction potential of the tea sector through the
privatization of tea estates. This paper uses the logic of
causal inference and data from the 2004 Quantitative
Baseline Survey of the tea sector to assess the potential
impact of the privatization program. This entails a
normalized comparison of productivity outcomes to account
for household heterogeneity in terms of observable and
non-observable determinants of these outcomes. The paper
also compares living standards between tea and non-tea
households. Three main findings emerge from the analysis.
Productivity outcomes are generally better in the private
sector than in the public sector. Male-headed households
outperform female-headed households along all dimensions
considered here. And tea households tend to be better off
than non-tea households.
Palabras clave
AGRICULTURAL PRODUCTS, ANALYSIS OF POVERTY, AVERAGE YIELDS, BENCHMARK CASE, CAPITA EXPENDITURE, CASH CROPS, COFFEE, COFFEE EXPORTS, COOPERATIVES, COTTON, COUNTERFACTUAL, CROP, CULTIVATION, DESCRIPTION, DRAINAGE, EARNINGS, ECONOMETRIC ANALYSIS, ECONOMIC GROWTH, EMPLOYER, EMPLOYMENT OPPORTUNITIES, EVALUATION METHODS, EXCLUSION, EXPENDITURE, EXPERIMENTAL METHODS, EXPORT CROP, EXPORT CROPS, FARM, FARM ACTIVITIES, FARM PRODUCTIVITY, FEMALE, FEMALES, FERTILIZER, FERTILIZER COST, FERTILIZER USE, FOREIGN INVESTMENT, GENDER, GENDER BIAS, GENDER DIFFERENCES, HARVESTING, HECTARES OF LAND, HOUSEHOLD SIZE, HOUSEHOLD SURVEY, IMPACT ASSESSMENT, IMPACT EVALUATION, INCOME, INHABITANTS, INSTITUTIONAL CAPACITY, INSTRUMENTAL VARIABLES, INTERNATIONAL BANK, INTERVENTION, LAND OWNERSHIP, LIVELIHOOD, LIVING CONDITIONS, LIVING STANDARDS, MATCHING METHODS, NEIGHBORHOOD, PER CAPITA INCOME, PLANTATIONS, POOR HOUSEHOLDS, POVERTY LINE, POVERTY RATE, POVERTY REDUCTION, PRIVATIZATION, PRODUCE, PROGRAMS, PROPENSITY SCORE MATCHING METHOD, REGRESSION ANALYSIS, RURAL DEVELOPMENT, RURAL ECONOMY, SAMPLE SIZE, SELECTION BIAS, SMALL FARMERS, STANDARD APPLICATIONS, STATISTICAL SIGNIFICANCE, TEA, TEA SECTOR, UMBRELLA ORGANIZATION, VILLAGE, WATER SOURCE