Impact of climate change on agricultural yield: evidence from Vietnam
DOI:
https://doi.org/10.51599/are.2025.11.01.04Keywords:
agricultural productivity, agricultural sector, climate change, cointegration test.Abstract
Purpose. Climate change is considered as one of the most stressful issues nowadays. This study aims to explore the impact of climate change on agricultural yields in Vietnam, a leading exporter in global agricultural markets.
Methodology / approach. The correlation matrix analyse, panel cointegration test, panel estimated regression are used for quantitative analyse of the effect of climate variables on agricultural outputs. The study sample includes 285 observations collected for 15 provinces of Vietnam during the period 2002–2020.
Results. Unlike previous studies, ours is the first to focus on the impact of climate change on yields in the provinces of Vietnam, a leading agricultural exporting country in Asia. Climate variables have harmful effects on all agricultural crops in the study sample, although the effects are somewhat different. In particular, sweet potatoes are negatively affected by all climate variables, and this crop may be the most affected agricultural product in the context of climate change in Vietnam. After that, cassava and maize are negatively affected by humidity, but positively affected by precipitation. Rice, however, seems to have been less affected, as it has been showing record yields in recent years.
Originality / scientific novelty. Although the relationship between agricultural production and climate change has been a spotlight topic for investigation in recent years, the current literature still needs to contribute with evidence from more countries, especially in top agricultural producing countries. Our paper presents some contributions to the current literature where three cointegration tests confirm the existence of long-term relationships between climate variables and agricultural yields in Vietnam. Besides, the effect of climate variables on agricultural outputs are identified and discussed. This evidence provides information for urgently adapting strategies in relation to climate change not only in the short-run, but also with long-run adaptation initiatives.
Practical value / implications. Information regarding the relationship between climate change and agricultural outputs is helpful not only for policymakers but also for farmers. For adapting to climate change, farmers can establish and promote smart agricultural models. Besides, policymakers should have smart agricultural development policies but must stick to national socio-economic development plans. International cooperation can help attract more and more investment flows in agriculture. Sustainable land management policy is considered as a necessary policy in the future. The countries should develop human resources for smart agricultural development by improving the education quality of the training institutions and teaching facilities.
References
Abbas, S., & Mayo, Z. A. (2021). Impact of temperature and rainfall on rice production in Punjab, Pakistan. Environment, Development and Sustainability, 23, 1706–1728. https://doi.org/10.1007/s10668-020-00647-8.
Abbas, S., Kousar, S., Shirazi, S. A., Yaseen, M., & Latif, Y. (2022). Illuminating empirical evidence of climate change: impacts on rice production in the Punjab Regions, Pakistan. Agricultural Research, 11, 32–47. https://doi.org/10.1007/s40003-021-00548-w.
Anh, D. L. T., Anh, N. T., & Chandio, A. A. (2023). Climate change and its impacts on Vietnam agriculture: a macroeconomic perspective. Ecological Informatics, 74, 101960. https://doi.org/10.1016/j.ecoinf.2022.101960.
Anwar, M. R., Liu, D. L., Macadam, I., & Kelly, G. (2012). Adapting agriculture to climate change: a review. Theoretical and Applied Climatology, 113, 225–245. https://doi.org/10.1007/s00704-012-0780-1.
Arndt, C., Chinowsky, P., Fant, C., Paltsev, S., Schlosser, C. A., Strzepek, K., Tarp, F., & Thurlow, J. (2019). Climate change and developing country growth: the cases of Malawi, Mozambique, and Zambia. Climatic Change, 154, 335–349. https://doi.org/10.1007/s10584-019-02428-3.
Barati, A. A., Azadi, H., Moghaddam, S. M., Scheffran, J., & Pour, M. D. (2024). Agricultural expansion and its impacts on climate change: evidence from Iran. Environment, Development and Sustainability, 26, 5089–5115. https://doi.org/10.1007/s10668-023-02926-6.
Birthal, P. S., Hazrana, J., Negi, D. S., & Bhan, S. C. (2021). Climate change and land-use in Indian agriculture. Land Use Policy, 109, 105652. https://doi.org/10.1016/j.landusepol.2021.105652.
Breitung, J. (2000). The local power of some unit root tests for panel data. In B. Baltagi, T. B. Fomby, R. Carter Hill (Eds.), Nonstationary Panels, Panel Cointegration, and Dynamic Panels (pp. 161–178), (Advances in Econometrics, vol. 15). Emerald Group Publishing Limited, Leeds. https://doi.org/10.1016/S0731-9053(00)15006-6.
Bui, C. B., & Nguyen, T. L. (2017). New rice varieties adapted to climate change in the Mekong River Delta of Vietnam. Vietnam Journal of Science, Technology and Engineering, 59(2), 30–33. https://doi.org/10.31276/VJSTE.59(2).30.
Chandio, A. A., Gokmenoglu, K. K., & Ahmad, F. (2021). Addressing the long- and short-run effects of climate change on major food crops production in Turkey. Environmental Science and Pollution Research, 28, 51657–51673. https://doi.org/10.1007/s11356-021-14358-8
Chandio, A. A., Zhang, H., Akram, W., Sethi, N., & Ahma, F. (2023). Climate change and crop production nexus: assessing the role of technological development for sustainable agriculture in Vietnam. International Journal of Climate Change Strategies and Management, 16(2), 177–200. https://doi.org/10.1108/IJCCSM-11-2022-0138.
Choi, I. (2001). Unit root tests for panel data. Journal of International Money and Finance, 20(2), 249–272. https://doi.org/10.1016/S0261-5606(00)00048-6.
Dang, A. T. N., Kumar, L., Reid, M., & Anh, L. N. T. (2019). Modelling the susceptibility of wetland plant species under climate change in the Mekong Delta, Vietnam. Ecological Informatics, 64, 101358. https://doi.org/10.1016/j.ecoinf.2021.101358.
Dang, K. K., Do, T. H., Le, T. H. L., Le, T. T. H., & Pham, T. D. (2021). Impacts of farmers’ adaptation to drought and salinity intrusion on rice yield in Vietnam’s Mekong Delta. Journal of Agribusiness in Developing and Emerging Economies, 11(1), 27–41. https://doi.org/10.1108/JADEE-08-2019-0132.
Dang, T. T., Zhang, C., Nguyen, T. H., & Nguyen, N. T. (2020). Assessing the influence of exchange rate on agricultural commodity export price: evidence from Vietnamese coffee. Journal of Economics and Development, 22(2), 297–309. https://doi.org/10.1108/JED-02-2020-0014.
Driscoll, J. C., & Kraay, A. C. (1998). Consistent Covariance Matrix Estimation with Spatially Dependent Panel Data. Review of Economics and Statistics, 80(4), 549–560. https://www.jstor.org/stable/2646837.
Duc, K. N., Ancev, T., & Randall, A. (2019). Evidence of climatic change in Vietnam: some implications for agricultural production. Journal of Environmental Management, 231, 524–545. https://doi.org/10.1016/j.jenvman.2018.10.011.
General Statistics Office of Vietnam (2024). Administrative unit, land and climate. Available at: https://www.gso.gov.vn/en/administrative-unit-land-and-climate.
Gonzalo, J. (1994). Five alternative methods of estimating long-run equilibrium relationships. Journal of Econometrics, 60(1–2), 203–233. https://doi.org/10.1016/0304-4076(94)90044-2.
Guntukula, R. (2019). Assessing the impact of climate change on Indian agriculture: evidence from major crop yields. Journal of Public Affairs, 20(1), e2040. https://doi.org/10.1002/pa.2040.
Ha, T. V., Uereyen, S., & Kuenzer, C. (2023). Agricultural drought conditions over mainland Southeast Asia: spatiotemporal characteristics revealed from MODIS-based vegetation time-series. International Journal of Applied Earth Observation and Geoinformation, 121, 103378. https://doi.org/10.1016/j.jag.2023.103378.
Harris, R., & Tzavalis, E. (1999). Inference for unit roots in dynamic panels where the time dimension is fixed. Journal of Econometrics, 91(2), 201–226. https://doi.org/10.1016/S0304-4076(98)00076-1.
Hoan, N. X., Nguyen Khoi, D. N., & Trung, L. D. (2019). Assessing the adaptive capacity of farmers under the impact of saltwater intrusion in the Vietnamese Mekong Delta. Journal of Environmental Planning and Management, 62(9), 1619–1635. https://doi.org/10.1080/09640568.2019.1631147.
Huong, N. T. L., & Yao Shun Bo, Y. S., & Shah Fahad, S. (2019). Economic impact of climate change on agriculture using Ricardian approach: a case of northwest Vietnam. Journal of the Saudi Society of Agricultural Sciences, 18(4), 449–457. https://doi.org/10.1016/j.jssas.2018.02.006.
Huynh, H. T. L., Nguyen Thi, L., & Dinh Hoang, N. (2020). Assessing the impact of climate change on agriculture in Quang Nam Province, Viet Nam using modeling approach. International Journal of Climate Change Strategies and Management, 12(5), 757–771. https://doi.org/10.1108/IJCCSM-03-2020-0027.
Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of Econometrics, 90(1), 1–44. https://doi.org/10.1016/S0304-4076(98)00023-2.
Kontgis, C., Schneider, A., Ozdogan, M., Kucharik, C., Tri, V. P. D., Duc, N. H., & Schatz, J. (2019). Climate change impacts on rice productivity in the Mekong River Delta. Applied Geography, 102, 71–83. https://doi.org/10.1016/j.apgeog.2018.12.004.
Kumar, P., Sahu, N. C., Kumar, S., & Ansari, M. A. (2021). Impact of climate change on cereal production: evidence from lower-middle-income countries. Environmental Science and Pollution Research, 28, 51597–51611. https://doi.org/10.1007/s11356-021-14373-9.
Liu, Y., Barrett, C. B., Pham, T., & Violette, W. (2020). The intertemporal evolution of agriculture and labor over a rapid structural transformation: lessons from Vietnam. Food Policy, 94, 101913. https://doi.org/10.1016/j.foodpol.2020.101913.
Mahmood, F., Khokhar, M. F., & Mahmood, Z. (2020). Examining the relationship of tropospheric ozone and climate change on crop productivity using the multivariate panel data techniques. Journal of Environmental Management, 272, 111024. https://doi.org/10.1016/j.jenvman.2020.111024.
Matthews, H. D., & Wynes, S. (2022). Current global efforts are insufficient to limit warming to 1.5°C. Science, 376(6600), 1404–1409. https://doi.org/10.1126/science.abo3378.
Ngo, C. C., Poortvliet, P. M., & Feindt, P. H. (2020). Drivers of flood and climate change risk perceptions and intention to adapt: an explorative survey in coastal and delta Vietnam. Journal of Risk Research, 23(4), 424–446. https://doi.org/10.1080/13669877.2019.1591484.
Nhung, T. T., Vo, P. L., Nghi, V. V., & Bang, H. Q. (2021). Salt intrusion adaptation measures for sustainable agricultural development under climate change effects: A case of Ca Mau Peninsula, Vietnam. Climate Risk Management, 23, 88-100. https://doi.org/10.1016/j.crm.2018.12.002
Arndt, C., Chinowsky, P., Fant, C., Paltsev, S., Schlosser, A. C., Strzepek, K., Tarp, F., & Thurlow, J. (2019). Climate change and developing country growth: the cases of Malawi, Mozambique, and Zambia. Climatic Change, 154, 335–349. https://doi.org/10.1007/s10584-019-02428-3.
Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxford Bulletin of Economics & Statistics, 61, 653–670. https://doi.org/10.1111/1468-0084.0610s1653.
Phuong, L. T. H., Biesbroek, G. R., Sen, L. T. H., & Wals, A. E. J. (2018). Understanding smallholder farmers’ capacity to respond to climate change in a coastal community in Central Vietnam. Climate and Development, 10(8), 701–716. https://doi.org/10.1080/17565529.2017.1411240.
Pickson, R. B., He, G., & Boateng, E. (2021). Impacts of climate change on rice production: evidence from 30 Chinese provinces. Environment, Development and Sustainability, 24, 3907–3925. https://doi.org/10.1007/s10668-021-01594-8.
Prommawin, B., Svavasu, N., Tanpraphan, S., Saengavut, V., Jithitikulchai, T., Attavanich, W., & McCarl, B. A. (2024). Impacts of climate change and agricultural diversification on agricultural production value of Thai farm households. Climatic Change, 177, 112. https://doi.org/10.1007/s10584-024-03732-3.
Regan, P. M., Kim, H., & Maiden, E. (2019). Climate change, adaptation, and agricultural output. Regional Environmental Change, 19, 113–123. https://doi.org/10.1007/s10113-018-1364-0.
Rutten, M., van-Dijk, M., van-Rooij, W., & Hilderink, H. (2014). Land use dynamics, climate change, and food security in Vietnam: a global-to-local modeling approach. World Development, 59, 29–46. https://doi.org/10.1016/j.worlddev.2014.01.020.
Sarker, M. A. R., Alam, K., & Gow, J. (2012). Exploring the relationship between climate change and rice yield in Bangladesh: an analyze of time series data. Agricultural Systems, 112, 11–16. https://doi.org/10.1016/j.agsy.2012.06.004.
Shannon, H. D., & Motha, R. P. (2015). Managing weather and climate risks to agriculture in North America, Central America and the Caribbean. Weather and Climate Extremes, 10(A), 50–56. https://doi.org/10.1016/j.wace.2015.10.006.
Sutrisno, J., Agustono, Fajarningsih, R. U., Khairiyakh, R., Ulfa, A. N., & Nurhidayati, I. (2022). The impact of climate change on the production of cassava and sweet potato in Indonesia. The 1st International Conference on Environmental Management. IOP Conf. Series: Earth and Environmental Science, 1180, 012038. https://doi.org/10.1088/1755-1315/1180/1/012038.
Tran, P. T., Vu, B. T., Ngo, S. T., Tran, V. D., & Ho, T. D. N. (2022). Climate change and livelihood vulnerability of the rice farmers in the North Central Region of Vietnam: a case study in Nghe An province, Vietnam. Environmental Challenges, 7, 100460. https://doi.org/10.1016/j.envc.2022.100460.
Trinh, T. A. (2017). The impact of climate change on agriculture: findings from households in Vietnam. Environmental and Resource Economics, 71, 897–921. https://doi.org/10.1007/s10640-017-0189-5
Trinh, T. Q., Rañola-Jr, R. F., Camacho, L. D., & Simelton, E. (2018). Determinants of farmers’ adaptation to climate change in agricultural production in the central region of Vietnam. Land Use Policy, 70, 224–231. https://doi.org/10.1016/j.landusepol.2017.10.023.
Westerlund, J. (2005). New simple tests for panel cointegration. Econometric Reviews, 24(3), 297–316. https://doi.org/10.1080/07474930500243019.
Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data. London, MIT Press. Available at: https://ipcid.org/evaluation/apoio/Wooldridge%20-%20Cross-section%20and%20Panel%20Data.pdf.
World Bank (2022). Vietnam: country climate and development report. CCDR Series. Washington, DC, World Bank. Available at: https://hdl.handle.net/10986/37618.
Ylipaa, J., Gabrielsson, S., & Jerneck, A. (2019). Climate change adaptation and gender inequality: insights from rural Vietnam. Sustainability, 11(10), 2805. https://doi.org/10.3390/su11102805.