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The effects of education in early-stage agriculture: some evidence from China

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  • Denise Young
  • Honghai Deng

Abstract

The stochastic production frontier approach is used to study the effects of education on agricultural efficiency for a cross-section of 'early-stage' farms from Guanghan County, Sichuan Province, China. Education for farm families in rural China is multifaceted with a combination of formal education, intragenerational transfer of knowledge within the home, and agricultural extension services. Since our survey data span two different years with markedly different policy environments, we are able to examine not only which aspects of education affect agricultural efficiency, but also whether or not the policy environment matters. We find limited evidence that in a policy environment that is conducive to agriculture, formal education provides positive returns in agriculture. Furthermore, general education may provide greater returns than the more targeted extension services.

Suggested Citation

  • Denise Young & Honghai Deng, 1999. "The effects of education in early-stage agriculture: some evidence from China," Applied Economics, Taylor & Francis Journals, vol. 31(11), pages 1315-1323.
    • Handle: RePEc:taf:applec:v:31:y:1999:i:11:p:1315-1323
    DOI: 10.1080/000368499323193
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    Cited by:

    1. Klasen, Stephan & Reimers, Malte, 2017. "Looking at Pro-Poor Growth from an Agricultural Perspective," World Development, Elsevier, vol. 90(C), pages 147-168.
    2. 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.
    3. Ragasa, Catherine & Mazunda, John, 2018. "The impact of agricultural extension services in the context of a heavily subsidized input system: The case of Malawi," World Development, Elsevier, vol. 105(C), pages 25-47.
    4. Kirtti Ranjan Paltasingh & Phanindra Goyari, 2018. "Impact of farmer education on farm productivity under varying technologies: case of paddy growers in India," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 6(1), pages 1-19, December.
    5. Iskid Jacquet & Jieyong Wang & Jianjun Zhang & Ke Wang & Sen Liang, 2022. "An Understanding of Education in Supporting Cotton Production: An Empirical Study in Benin, West Africa," Agriculture, MDPI, vol. 12(6), pages 1-16, June.
    6. Niu, Chiyu & Ragasa, Catherine, 2018. "Selective attention and information loss in the lab-to-farm knowledge chain: The case of Malawian agricultural extension programs," Agricultural Systems, Elsevier, vol. 165(C), pages 147-163.
    7. Junxu Zhou & Yajun Chang & Rong Peng & Zijun Liu & Hang Luo & Min Ji, 2024. "Does Free Compulsory Education Matter for the Green Transformation of Agriculture? Evidence from Rural China," Agriculture, MDPI, vol. 14(5), pages 1-19, April.
    8. Qian Liu & Yongmu Jiang & Carl‐Johan Lagerkvist & Wei Huang, 2023. "Extension services and the technical efficiency of crop‐specific farms in China," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(1), pages 436-459, March.
    9. Tran, Dai Binh & Tran, Hanh Thi My & Pham, Thao Dinh Ngoc & Nguyen, Thuy Thanh, 2023. "Education and agricultural household income: Comparative evidence from Vietnam and Thailand," World Development Perspectives, Elsevier, vol. 29(C).

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