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Examining the Impact of Government Input Support on Rice Production in Vietnam

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  • Keo Sa Rate Thach
  • Ji Yong Lee
  • My Trang Ha
  • Minh Tuan Cao
  • Duyen Thi Le Chau
  • Sang Hyeon Lee

Abstract

Although rice production plays a vital role in Vietnam's economy, rice farmers' incomes remain low compared to other sectors. Several support policies have been introduced to improve this, including input support policies. This study examines the effect of input support on production outcomes of rice farmers using endogenous switching regression (ESR) analysis and propensity score matching (PSM) with data from the Vietnam Household Living Standards Survey (VHLSS) in 2018 and 2020. Findings show that households receiving input support had lower rice production efficiency and incomes than comparable households not receiving the support. While there is a link between support value and production outcomes, the impact is limited if support values are low. This suggests that small amounts of support are insufficient to improve production outcomes. Given our results, the Vietnam government should increase the support budget and focus on providing quality inputs. Additionally, rather than giving small cash amounts to individual households, which are insufficient to buy modern machinery, the government should invest in shared community‐level equipment to improve production capacity.

Suggested Citation

  • Keo Sa Rate Thach & Ji Yong Lee & My Trang Ha & Minh Tuan Cao & Duyen Thi Le Chau & Sang Hyeon Lee, 2026. "Examining the Impact of Government Input Support on Rice Production in Vietnam," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 70(2), pages 503-517, April.
  • Handle: RePEc:bla:ajarec:v:70:y:2026:i:2:p:503-517
    DOI: 10.1111/1467-8489.70109
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    as
    1. Esther Duflo & Michael Kremer & Jonathan Robinson, 2011. "Nudging Farmers to Use Fertilizer: Theory and Experimental Evidence from Kenya," American Economic Review, American Economic Association, vol. 101(6), pages 2350-2390, October.
    2. Sinafikeh Asrat Gemessa, 2022. "An alternative approach to measuring the welfare implications of input subsidies: Evidence from Malawi," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 112-138, February.
    3. Sreejith Aravindakshan & Frederick Rossi & T. S. Amjath-Babu & Prakashan Chellattan Veettil & Timothy J. Krupnik, 2018. "Application of a bias-corrected meta-frontier approach and an endogenous switching regression to analyze the technical efficiency of conservation tillage for wheat in South Asia," Journal of Productivity Analysis, Springer, vol. 49(2), pages 153-171, June.
    4. Fujin Yi & Wuyi Lu & Yingheng Zhou, 2016. "Cash transfers and multiplier effect: lessons from the grain subsidy program in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 8(1), pages 81-99, February.
    5. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    6. Doris Läpple & Thia Hennessy & Carol Newman, 2013. "Quantifying the Economic Return to Participatory Extension Programmes in Ireland: an Endogenous Switching Regression Analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 64(2), pages 467-482, June.
    7. Muricho, Geoffrey & Manda, Damiano & Sule, Fredrick & Kassie, Menale, "undated". "Smallholder Agricultural Commercialization and Poverty: Empirical Evidence of Panel Data from Kenya," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258618, Agricultural Economics Society.
    8. 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.
    9. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    10. Pranab Bardhan & Dilip Mookherjee, 2011. "Subsidized Farm Input Programs and Agricultural Performance: A Farm-Level Analysis of West Bengal's Green Revolution, 1982-1995," American Economic Journal: Applied Economics, American Economic Association, vol. 3(4), pages 186-214, October.
    11. Nwachukwu, Ifeanyi N. & Ezeh, Chima I., 2007. "Impact of Selected Rural Development Programmes on Poverty Alleviation in Ikwuano LGA, Abia State, Nigeria," MPRA Paper 13720, University Library of Munich, Germany.
    12. Jongwoo Kim & Nicole M. Mason & David Mather & Felicia Wu, 2021. "The effects of the national agricultural input voucher scheme (NAIVS) on sustainable intensification of maize production in Tanzania," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(3), pages 857-877, September.
    13. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LLC, vol. 7(3), pages 334-350, September.
    14. Bravo-Ureta, Boris E. & Pinheiro, António E., 1993. "Efficiency Analysis of Developing Country Agriculture: A Review of the Frontier Function Literature," Agricultural and Resource Economics Review, Cambridge University Press, vol. 22(1), pages 88-101, April.
    15. 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.
    16. Du Anh Tho & Onaka, Katsutoshi, 2020. "Status and Challenges of Agricultural Machinery Services Development in Vietnam Central Coast Area," Japanese Journal of Agricultural Economics (formerly Japanese Journal of Rural Economics), Agricultural Economics Society of Japan (AESJ), vol. 22.
    17. Becerril, Javier & Abdulai, Awudu, 2010. "The Impact of Improved Maize Varieties on Poverty in Mexico: A Propensity Score-Matching Approach," World Development, Elsevier, vol. 38(7), pages 1024-1035, July.
    18. Bouasone Sengsourivong & Masaru Ichihashi, 2019. "Effectiveness of Irrigation Access on Sticky Rice Productivity: Evidence from Lao PDR," Sustainability, MDPI, vol. 11(20), pages 1-18, October.
    19. Fujin Yi & Wuyi Lu & Yingheng Zhou, 2016. "Cash transfers and multiplier effect: lessons from the grain subsidy program in China," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 8(1), pages 81-99, February.
    20. Bui Thi Lam & Ho Thi Minh Hop & Philippe Burny & Thomas Dogot & Tran Huu Cuong & Philippe Lebailly, 2019. "Impacts of Credit Access on Agricultural Production and Rural Household’s Welfares in Northern Mountains of Vietnam," Asian Social Science, Canadian Center of Science and Education, vol. 15(7), pages 119-119, July.
    21. Lu, W. C., 2002. "Effects of agricultural market policy on crop production in China," Food Policy, Elsevier, vol. 27(5-6), pages 561-573.
    22. Mai Huong Giang & Bui Huy Trung & Yuichiro Yoshida & Tran Dang Xuan & Mai Thanh Que, 2019. "The Causal Effect of Access to Finance on Productivity of Small and Medium Enterprises in Vietnam," Sustainability, MDPI, vol. 11(19), pages 1-19, October.
    23. Ma, Wanglin & Abdulai, Awudu, 2016. "Does cooperative membership improve household welfare? Evidence from apple farmers in China," Food Policy, Elsevier, vol. 58(C), pages 94-102.
    24. Zhang, Shemei & Sun, Zhanli & Ma, Wanglin & Valentinov, Vladislav, 2020. "The effect of cooperative membership on agricultural technology adoption in Sichuan, China," China Economic Review, Elsevier, vol. 62(C).
    25. Michael Carter & Rachid Laajaj & Dean Yang, 2021. "Subsidies and the African Green Revolution: Direct Effects and Social Network Spillovers of Randomized Input Subsidies in Mozambique," American Economic Journal: Applied Economics, American Economic Association, vol. 13(2), pages 206-229, April.
    26. Nguyen Tuan Anh & Christopher Gan & Dao Le Trang Anh, 2020. "Does credit boost agricultural performance? Evidence from Vietnam," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 47(9), pages 1203-1221, August.
    27. Awudu Abdulai & Wallace Huffman, 2014. "The Adoption and Impact of Soil and Water Conservation Technology: An Endogenous Switching Regression Application," Land Economics, University of Wisconsin Press, vol. 90(1), pages 26-43.
    28. Martinson Ankrah Twumasi & Yuansheng Jiang & Bismark Addai & Zhao Ding & Abbas Ali Chandio & Prince Fosu & Dennis Asante & Anthony Siaw & Frank Osei Danquah & Bright Asiamah Korankye & Gideon Ntim-Amo, 2021. "The Impact of Cooperative Membership on Fish Farm Households’ Income: The Case of Ghana," Sustainability, MDPI, vol. 13(3), pages 1-16, January.
    29. Menale Kassie & Paswel Marenya & Yohannis Tessema & Moti Jaleta & Di Zeng & Olaf Erenstein & Dil Rahut, 2018. "Measuring Farm and Market Level Economic Impacts of Improved Maize Production Technologies in Ethiopia: Evidence from Panel Data," Journal of Agricultural Economics, Wiley Blackwell, vol. 69(1), pages 76-95, February.
    30. Michael Lokshin & Zurab Sajaia, 2004. "Maximum likelihood estimation of endogenous switching regression models," Stata Journal, StataCorp LLC, vol. 4(3), pages 282-289, September.
    31. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    32. Wossen, Tesfamicheal & Abdoulaye, Tahirou & Alene, Arega & Feleke, Shiferaw & Ricker-Gilbert, Jacob & Manyong, Victor & Awotide, Bola Amoke, 2017. "Productivity and Welfare Effects of Nigeria's e-Voucher-Based Input Subsidy Program," World Development, Elsevier, vol. 97(C), pages 251-265.
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