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Assessing the Impact of Agricultural Technology Adoption on Farmers' Well‐being Using Propensity‐Score Matching Analysis in Rural China

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  • Haitao Wu
  • Shijun Ding
  • Sushil Pandey
  • Dayun Tao

Abstract

The present paper assesses the impact of improved upland rice technology on farmers' well‐being. The study uses propensity‐score matching to address the problem of ‘self‐selection,’ because technology adoption is not randomly assigned. It applies this procedure to household survey data collected in Yunnan, China in 2000, 2002 and 2004. The findings indicate that improved upland rice technology has a robust and positive effect on farmers' well‐being, as measured by income levels and the incidence of poverty. The effect of technology on well‐being shows a diminishing impact on producers' incomes. This implies that newer innovations are continuously needed to replace older technologies that have reached their saturation points.

Suggested Citation

  • Haitao Wu & Shijun Ding & Sushil Pandey & Dayun Tao, 2010. "Assessing the Impact of Agricultural Technology Adoption on Farmers' Well‐being Using Propensity‐Score Matching Analysis in Rural China," Asian Economic Journal, East Asian Economic Association, vol. 24(2), pages 141-160, June.
    • Handle: RePEc:bla:asiaec:v:24:y:2010:i:2:p:141-160
    DOI: 10.1111/j.1467-8381.2010.02033.x
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    3. Huaiyu Wang & Sushil Pandey & Lu Feng, 2020. "Econometric Analyses of Adoption and Household-Level Impacts of Improved Rice Varieties in the Uplands of Yunnan, China," Sustainability, MDPI, vol. 12(17), pages 1-13, August.
    4. Santosh K. Sahu & Sukanya Das, 2016. "Impact of Agricultural Related Technology Adoption on Poverty: A Study of Select Households in Rural India," India Studies in Business and Economics, in: N.S. Siddharthan & K. Narayanan (ed.), Technology, pages 141-156, Springer.
    5. Nazli, Hina & Orden, David & Sarker, Rakhal & Meilke, Karl D., 2012. "Bt Cotton Adoption and Wellbeing of Farmers in Pakistan," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126172, International Association of Agricultural Economists.
    6. Bola Amoke Awotide & Aziz A. Karimov & Aliou Diagne, 2016. "Agricultural technology adoption, commercialization and smallholder rice farmers’ welfare in rural Nigeria," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 4(1), pages 1-24, December.
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    11. Huang, Wu & Zeng, Di & Zhou, Shudong, 2015. "Welfare Impacts of Modern Peanut Varieties in China," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 54(3), pages 1-18, September.
    12. Xiaoqing Dai & Lijie Pu & Fangping Rao, 2017. "Assessing the Effect of a Crop-Tree Intercropping Program on Smallholders’ Incomes in Rural Xinjiang, China," Sustainability, MDPI, vol. 9(9), pages 1-19, August.
    13. The Dung Bui & Dung Mau Nguyen, 2022. "Sustainable land managements in Vietnam: adoption determinants and income effects at farm household level," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(7), pages 9687-9703, July.
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    15. Mishra, Ashok K. & Kumar, Anjani & Joshi, Pramod K. & D'souza, Alwin, 2016. "Impact of contracts in high yielding varieties seed production on profits and yield: The case of Nepal," Food Policy, Elsevier, vol. 62(C), pages 110-121.
    16. Kassie, Menale & Shiferaw, Bekele & Muricho, Geoffrey, 2011. "Agricultural Technology, Crop Income, and Poverty Alleviation in Uganda," World Development, Elsevier, vol. 39(10), pages 1784-1795.
    17. Githiomi, Caroline & Muriithi, Beatrice & Irungu, Patrick & Mwungu, Chris M. & Diiro, Gracious & Affognon, Hippolyte & Mburu, John & Ekesi, Sunday, 2019. "Economic analysis of spillover effects of an integrated pest management (IPM) strategy for suppression of mango fruit fly in Kenya," Food Policy, Elsevier, vol. 84(C), pages 121-132.
    18. Duong, Pham Bao & Thanh, Pham Tien, 2019. "Adoption and effects of modern rice varieties in Vietnam: Micro-econometric analysis of household surveys," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 282-292.
    19. Abdoulaye Diagne Author-Name: Fran ois J. Cabral, 2017. "Agricultural Transformation in Senegal: Impacts of an integrated program," Working Papers PMMA 2017-09, PEP-PMMA.
    20. Michel Mbumba Bandi & Martin Bitijula Mahimba & Paul Mafuka Mbe Mpie & Alphonse Roger Ntoto M’vubu & Damase P. Khasa, 2022. "Adoption of Agroforestry Practices in and around the Luki Biosphere Reserve in the Democratic Republic of the Congo," Sustainability, MDPI, vol. 14(16), pages 1-13, August.
    21. Chunlin Hua & Richard T. Woodward & Liangzhi You, 2017. "An Ex-Post Evaluation of Agricultural Extension Programs for Reducing Fertilizer Input in Shaanxi, China," Sustainability, MDPI, vol. 9(4), pages 1-26, April.
    22. Palis, Florencia G. & Singleton, Grant R. & Casimero, Madonna C. & Hardy, Bill (ed.), 2010. "Research to Impact: Case Studies for Natural Resource Management for Irrigated Rice in Asia," IRRI Books, International Rice Research Institute (IRRI), number 164479.
    23. Kassie, Menale & Jaleta, Moti & Shiferaw, Bekele A. & Mmbando, Frank & De Groote, Hugo, 2012. "Improved Maize Technologies and Welfare Outcomes In Smallholder Systems: Evidence From Application of Parametric and Non-Parametric Approaches," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 128004, International Association of Agricultural Economists.
    24. Jorge Leonardo Rueda Gil, 2017. "Cambio tecnológico y mejoras en el bienestar de los caficultores en Colombia: el caso de las variedades resistentes a la roya," Documentos CEDE 15665, Universidad de los Andes, Facultad de Economía, CEDE.
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