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Measuring the Effect of Agricultural Extension on Technical Efficiency in Crop Farming: Meta-Regression Analysis

Author

Listed:
  • Nicolas Lampach
  • Phu Nguyen-Van
  • Nguyen To-The

Abstract

Agricultural extension services have been dominated by development programs to improve the productivity of crops and to increase farmers’ income. The virtues and limitations of these programs ignite a debate among scholars from distinct strands of research. How effective are agricultural extension services in improving the productivity level of the agricultural output? We examine the key determinants driving systematic variations in the obtained technical efficiency estimates from all relevant crop farming studies. A weighted least square meta-regression analysis is conducted by using 193 observations from 96 farm level studies to evaluate the estimates of technical efficiency in crop farming and to review the relationship between agricultural extension services and farm performance. Evidence for the absence of a publication bias in the farm studies used in the meta-analysis is identified. The empirical results manifest that there is a positive and significant effect of extension services on technical efficiency estimates. Farm productivity is significantly influenced by country level characteristics, sample size of farm studies and type of crops. Our empirical findings are robust when replacing missing observations with imputed values applying the multiple imputation method.

Suggested Citation

  • Nicolas Lampach & Phu Nguyen-Van & Nguyen To-The, 2018. "Measuring the Effect of Agricultural Extension on Technical Efficiency in Crop Farming: Meta-Regression Analysis," Working Papers of BETA 2018-48, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    • Handle: RePEc:ulp:sbbeta:2018-48
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    File URL: http://beta.u-strasbg.fr/WP/2018/2018-48.pdf
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    Citations

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    Cited by:

    1. Jolex, Aubrey, 2022. "Influence of agricultural extension services on technical efficiency of maize farmers in Malawi," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 17(1), March.
    2. Higuchi, Angie & Coq-Huelva, Daniel & Vasco, Cristian & Alfalla-Luque, Rafaela & Maehara, Rocío, 2023. "An evidence-based relationship between technical assistance and productivity in cocoa from Tocache, Peru," Revista de Economia e Sociologia Rural (RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 61(1), January.

    More about this item

    Keywords

    Agricultural extension; Crop farming; Meta-analysis; Multiple Imputation; Publication bias; Technical efficiency; Weighted Least Square Estimation.;
    All these keywords.

    JEL classification:

    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C29 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Other

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