Top

Mitigation and Adaptation Strategies for Global Change

Published in:

01-12-2023 | Original article

Examining the effects of climate change adaptation on technical efficiency of rice production

Authors: Yong Liu, Jorge Ruiz-Menjivar, Monica Zavala, Junbiao Zhang

Published in: Mitigation and Adaptation Strategies for Global Change | Issue 8/2023

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

This study examined the impact of eight climate change adaptation practices on technical efficiency (TE) among 843 rice farmers in Central China. Data were collected across ten counties in Hubei province in 2019. Given that spatial dependency is present in social and economic systems, we accounted for the spatial autocorrelation of TE. We estimated both a one-step nonspatial stochastic frontier model and a spatial stochastic frontier model. We verified that spatial spillovers were present in the TE of rice farmers, suggesting that the nonspatial stochastic frontier model underestimated TE. Results showed that adopting climate change adaptation strategies significantly affected TE. These effects, however, varied in directionality by the different adaptation measures evaluated in this study. Overall, adjusting preparation dates, improving irrigation systems, and increasing cultivated areas positively affected TE at 1%, 0.1%, and 5% significance levels. In contrast, the coefficients for both using flood-tolerant rice varieties and adjusting sowing dates were negative and significant at 5% and 10% significant levels. Interestingly, the effects of using high-yield rice varieties and adjusting fertilizer use were not significant. Finally, this study did not find any evidence that adaptation intensity affected the TE of rice production. Based on these results, we discussed implications for future climate-smart agriculture programs addressing the adverse effects of climate change on agricultural production in China.

previous article The landscape of European policies in the power sector: first-mover advantages

next article Can green hydrogen production be used to mitigate ocean deoxygenation? A scenario from the Gulf of St. Lawrence

Available only for authorised users

Acharjee TK, van Halsema G, Ludwig F, Hellegers P, Supit I (2019) Shifting planting date of Boro rice as a climate change adaptation strategy to reduce water use. Agric Syst 168:131–143. https://doi.org/10.1016/j.agsy.2018.11.006CrossRef

Aigner D, Lovell CK, Schmidt P (1977) Formulation and estimation of stochastic frontier production function models. J Econom 6(1):21–37. https://doi.org/10.1016/0304-4076(77)90052-5CrossRef

Ampaire EL, Acosta M, Huyer S, Kigonya R, Muchunguzi P, Muna R, Jassogne L (2020) Gender in climate change, agriculture, and natural resource policies: insights from East Africa. Clim Change 158(1):43–60. https://doi.org/10.1007/s10584-019-02447-0CrossRef

Areal FJ, Balcombe K, Tiffin R (2012) Integrating spatial dependence into stochastic frontier analysis[J]. Aust J Agric Resour Econ 56(4):521–541. https://doi.org/10.1111/j.1467-8489.2012.00597.xCrossRef

Arora A, Bansal S, Ward PS (2019) Do farmers value rice varieties tolerant to droughts and floods? Evidence from a discrete choice experiment in Odisha, India. Water Resour Econ 25:27–41. https://doi.org/10.1016/j.wre.2018.03.001CrossRef

Arunrat N, Wang C, Pumijumnong N, Sereenonchai S, Cai W (2017) Farmers’ intention and decision to adapt to climate change: a case study in the Yom and Nan basins, Phichit province of Thailand. J Clean Prod 143:672–685. https://doi.org/10.1016/j.jclepro.2016.12.058CrossRef

Aryal JP, Sapkota TB, Khurana R, Khatri-Chhetri A, Jat ML (2019) Climate change and agriculture in South Asia: adaptation options in smallholder production systems. Environ Dev Sustain: 1–31. https://doi.org/10.1007/s10668-019-00414-4

Aspe C, Gilles A, Jacqué M (2016) Irrigation canals as tools for climate change adaptation and fish biodiversity management in Southern France. Reg Environ Change 16(7):1975–1984. https://doi.org/10.1007/s10113-014-0695-8CrossRef

Bairagi S, Bhandari H, Das SK, Mohanty S (2021) Flood-tolerant rice improves climate resilience, profitability, and household consumption in Bangladesh. Food Policy 105:102183. https://doi.org/10.1016/j.foodpol.2021.102183CrossRef

Baldoni E, Esposti R (2021) Agricultural productivity in space: an econometric assessment based on farm-level data. Am J Agr Econ 103(4):1525–1544CrossRef

Barrios EB, Lavado RF (2010) Spatial stochastic frontier models (Discussion Paper Series No. 2010-08). Manila: Philippine Institute for Development Studies

Belay A, Recha JW, Woldeamanuel T, Morton JF (2017) Smallholder farmers’ adaptation to climate change and determinants of their adaptation decisions in the Central Rift Valley of Ethiopia. Agric Food Secur 6(1):24. https://doi.org/10.1186/s40066-017-0100-1CrossRef

Below TB, Mutabazi KD, Kirschke D, Franke C, Sieber S, Siebert R, Tscherning K (2012) Can farmers’ adaptation to climate change be explained by socio-economic household-level variables? Global Environ Chang 22(1):223–235. https://doi.org/10.1016/j.gloenvcha.2011.11.012CrossRef

Binam JN, Tonye J, Nyambi G, Akoa M (2004) Factors affecting the technical efficiency among smallholder farmers in the slash and burn agriculture zone of Cameroon. Food Policy 29(5):531–545. https://doi.org/10.1016/j.foodpol.2004.07.013CrossRef

Bozoğlu M, Ceyhan V (2007) Measuring the technical efficiency and exploring the inefficiency determinants of vegetable farms in Samsun province. Turkey Agric Syst 94(3):649–656. https://doi.org/10.1016/j.agsy.2007.01.007CrossRef

Burke M, Emerick K (2016) Adaptation to climate change: evidence from US agriculture. AEJ: Econ Policy 8(3):106–40. https://doi.org/10.1257/pol.20130025

Carter C, Cui X, Ghanem D, Mérel P (2018) Identifying the economic impacts of climate change on agriculture. Annu Rev Resour Econ 10:361–380. https://doi.org/10.1146/annurev-resource-100517-022938CrossRef

Chen Z, Huffman WE, Rozelle S (2009) Farm technology and technical efficiency: Evidence from four regions in China. China Econ Rev 20(2):153–161. https://doi.org/10.1016/j.chieco.2009.03.002CrossRef

Coelli T, Perelman S, Romano E (1999) Accounting for environmental influences in stochastic frontier models: with application to international airlines. J Prod Anal 11(3):251–273. https://doi.org/10.1023/A:1007794121363CrossRef

Coelli TJ, Rao DSP, O’Donnell CJ, Battese GE (2005) An introduction to efficiency and productivity analysis, 2nd edn. Springer, New York

Dadzie SK, Dasmani I (2010) Gender difference and farm level efficiency: Metafrontier production function approach. J Dev Agric Econ 2(12):441–451. https://doi.org/10.5897/JDAE.9000075CrossRef

Dar MH, de Janvry A, Emerick K, Raitzer D, Sadoulet E (2013) Flood-tolerant rice reduces yield variability and raises expected yield, differentially benefitting socially disadvantaged groups. Sci Rep 3(1):1–8CrossRef

Dar MH, Zaidi NW, Waza SA, Verulkar SB, Ahmed T, Singh PK, ..., Ismail AM (2018) No yield penalty under favorable conditions paving the way for successful adoption of flood tolerant rice. Sci Rep 8(1):1–7. https://doi.org/10.1038/srep03315

Deressa TT, Hassan RM, Ringler C, Alemu T, Yesuf M (2009) Determinants of farmers’ choice of adaptation methods to climate change in the Nile Basin of Ethiopia. Global Environ Chang 19(2):248–255. https://doi.org/10.1016/j.gloenvcha.2009.01.002CrossRef

Di Falco S, Chavas JP (2008) Rainfall shocks, resilience, and the effects of crop biodiversity on agroecosystem productivity. Land Econ 84(1):83–96. https://doi.org/10.3368/le.84.1.83CrossRef

Di Falco S, Veronesi M, Yesuf M (2011) Does adaptation to climate change provide food security? A micro-perspective from Ethiopia. Am J Agr Econ 93(3):829–846. https://doi.org/10.1093/ajae/aar006CrossRef

FAO (2014) The state of food insecurity in the world: strengthening the enabling environment for food security and nutrition. Food and Agriculture Organization of the United Nations, Rome

Folke C (2016) Resilience (republished). Ecol Soc 21(4). https://doi.org/10.1093/acrefore/9780199389414.013.8

Fusco E, Vidoli F (2015) Spatial stochastic frontier models: Instructions for use. Vignette r Package Version 1.1. Retrieved from https://cran.rproject.org/web/packages/ssfa/vignettes/ssfavignette.pdf. Accessed 11 Jan 2022

Fusco E, Vidoli F (2013) Spatial stochastic frontier models: controlling spatial global and local heterogeneity. Int Rev Appl Econ 27(5):679–694. https://doi.org/10.1080/02692171.2013.804493CrossRef

Gadanakis Y, Areal FJ (2020) Accounting for rainfall and the length of growing season in technical efficiency analysis. Oper Res 20(4):2583–2608. https://doi.org/10.1007/s12351-018-0429-7CrossRef

Gebrehiwot T, Van Der Veen A (2013) Farm level adaptation to climate change: the case of farmer’s in the Ethiopian Highlands. Environ Manage 52(1):29–44. https://doi.org/10.1007/s00267-013-0039-3CrossRef

Gu M, Michael R, Zheng C, Trines S (2019) Education in China. World education news and reviews: Education system profiles. World education services. Retrieved from https://wenr.wes.org/2019/12/education-in-china-3. Accessed 12 Jan 2022

Ho TT, Shimada K (2019) The effects of climate smart agriculture and climate change adaptation on the TE of rice farming—An empirical study in the Mekong Delta of Vietnam. Agriculture 9(5):99. https://doi.org/10.3390/agriculture9050099CrossRef

Holloway G, Shankar B, Rahmanb S (2002) Bayesian spatial probit estimation: a primer and an application to HYV rice adoption. Agric Econ 27(3):383–402. https://doi.org/10.1111/j.1574-0862.2002.tb00127.xCrossRef

Holsten A, Kropp JP (2012) An integrated and transferable climate change vulnerability assessment for regional application. Nat Hazards 64(3):1977–1999. https://doi.org/10.1007/s11069-012-0147-zCrossRef

Hossain MK, Kamil AA, Baten MA, Mustafa A (2012) Stochastic frontier approach and data envelopment analysis to total factor productivity and efficiency measurement of Bangladeshi rice. PLoS ONE 7(10):e46081. https://doi.org/10.1371/journal.pone.0046081CrossRef

Howden SM, Soussana JF, Tubiello FN, Chhetri N, Dunlop M, Meinke H (2007) Adapting agriculture to climate change. Proc Natl Acad Sci USA 104(50):19691–19696. https://doi.org/10.1073/pnas.0701890104CrossRef

Hsiang S, Kopp R, Jina A, Rising J, Delgado M, Mohan S, ..., Larsen K (2017) Estimating economic damage from climate change in the United States. Science 356(6345):1362–1369. https://doi.org/10.1126/science.aal4369

Huang J, Wang Y, Wang J (2015) Farmers’ adaptation to extreme weather events through farm management and its impacts on the mean and risk of rice yield in China. Am J Agr Econ 97(2):602–617. https://doi.org/10.1093/ajae/aav005CrossRef

Ifejika Speranza C, Wiesmann U, Rist S (2014) An indicator framework for assessing livelihood resilience in the context of social-ecological dynamics. Global Environ Chang 28(1):109–119. https://doi.org/10.1016/j.gloenvcha.2014.06.005CrossRef

IPCC (2001) Climate Change 2001: Synthesis Report. A Contribution of Working Groups I, II, and III to the Third Assessment Report of the Intergovernmental Panel on Climate Change. In: Watson RT and the Core Writing Team (eds). Cambridge University Press, Cambridge.

IPCC (2014) Summary for Policymakers. In: Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change Cambridge University Press, Cambridge

Isoard S (2011) Perspectives on adaptation to climate change in Europe. In: Ford JD, Berrang-Ford L (eds) Change adaptation in developed nations: from theory to practice. Springer, Dordrecht

Jin J, Wang X, Gao Y (2015) Gender differences in farmers’ responses to climate change adaptation in Yongqiao District, China. Sci Total Environ 538:942–948. https://doi.org/10.1016/j.scitotenv.2015.07.027CrossRef

Jørgensen SL, Termansen M, Pascual U (2020) Natural insurance as condition for market insurance: Climate change adaptation in agriculture. Ecol Econ 169:106489. https://doi.org/10.1016/j.ecolecon.2019.106489CrossRef

Khanal U, Wilson C, Lee BL, Hoang VN (2018a) Climate change adaptation strategies and food productivity in Nepal: a counterfactual analysis. Clim Change 148(4):575–590. https://doi.org/10.1007/s10584-018-2214-2CrossRef

Khanal U, Wilson C, Lee B, Hoang VN (2018b) Do climate change adaptation practices improve technical efficiency of smallholder farmers? Evidence from Nepal. Clim Change 147(3):507–521. https://doi.org/10.1007/s10584-018-2168-4CrossRef

Kogo BK, Kumar L, Koech R (2021) Climate change and variability in Kenya: a review of impacts on agriculture and food security. Environ Dev Sustain 23(1):23–43. https://doi.org/10.1007/s10668-020-00589-1CrossRef

Kompas T, Pham VH, Che TN (2018) The effects of climate change on GDP by country and the global economic gains from complying with the Paris climate accord. Earths Future 6(8):1153–1173. https://doi.org/10.1029/2018EF000922CrossRef

Kumbhakar SC, Ghosh S, McGuckin JT (1991) A generalized production frontier approach for estimating determinants of inefficiency in US dairy farms. J Bus Econ Stat 9(3):279–286

Läpple D, Kelley H (2015) Spatial dependence in the adoption of organic drystock farming in Ireland. Eur Rev Agric Econ 42(2):315–337CrossRef

Larsen RK, Swartling ÅG, Powell N, May B, Plummer R, Simonsson L, Osbeck M (2012) A framework for facilitating dialogue between policy planners and local climate change adaptation professionals: Cases from Sweden, Canada and Indonesia. Environ Sci Policy 23:12–23. https://doi.org/10.1016/j.envsci.2012.06.014CrossRef

Laureti T, Benedetti I, Branca G (2021) Water use efficiency and public goods conservation: A spatial stochastic frontier model applied to irrigation in Southern Italy. Socioecon Plann Sci 73:100856CrossRef

Li W, Ruiz-Menjivar J, Zhang L, Zhang J (2021) Climate change perceptions and the adoption of low-carbon agricultural technologies: Evidence from rice production systems in the Yangtze River Basin. Sci Total Environ 759:143554. https://doi.org/10.1016/j.scitotenv.2020.143554CrossRef

Li W, Zhang L, Yue M, Ruiz-Menjivar J, Zhang J (2023) Health vulnerability and health poverty of rice farmers: evidence from Hubei province in China. China Agric Econ Rev 15(2):259–277CrossRef

Liang Z, Zhang L, Li W, Zhang J, Frewer LJ (2021) Adoption of combinations of adaptive and mitigatory climate-smart agricultural practices and its impacts on rice yield and income: Empirical evidence from Hubei. China Clim Risk Manag 32:100314. https://doi.org/10.1016/j.crm.2021.100314CrossRef

Lisø KR, Kvande T, Time B (2017) Climate adaptation framework for moisture-resilient buildings in Norway. Energy Procedia 132:628–633. https://doi.org/10.1016/j.egypro.2017.09.698CrossRef

Liu Y, Ruiz-Menjivar J, Zhang L, Zhang J, Swisher ME (2019) Technical training and rice farmers’ adoption of low-carbon management practices: the case of soil testing and formulated fertilization technologies in Hubei, China. J Clean Prod 226:454–462. https://doi.org/10.1016/j.jclepro.2019.04.026CrossRef

Liu Z, Zhang L, Rommel J, Feng S (2020) Do land markets improve land-use efficiency? Evidence from Jiangsu, China. Appl Econ 52(3):317–330. https://doi.org/10.1080/00036846.2019.1645286CrossRef

Liu Y, Ruiz-Menjivar J, Hu Y, Zavala M, Swisher ME (2022a) Knowledge mapping of the extant literature on the environmental impacts of using cover crops—a scientometric study. Environments 9(9):120CrossRef

Liu Y, Ruiz-Menjivar J, Zhang J (2022b) Climate adaptation and technical efficiency of rice production in central China [Poster]. The 2022 Agricultural & Applied Economics Association Annual Meeting, Anaheim

Liu Y, Ruiz-Menjivar J, Zhang J (2023a) Do soil nutrient management practices improve climate resilience? Empirical evidence from rice farmers in central China. Environ Dev Sustain 25(9):10029–10054CrossRef

Liu Y, Ruiz-Menjivar J, Lepheana M, Carr BR (2023b) Examining the effects of environmental knowledge and health insurance coverage on health status. Environments 10(4):62CrossRef

Liu K, Song C, Ye P, Liu H, Xia Z, Waseem H, ..., Zhu J (2023c) Optimizing rice sowing dates for high yield and climate adaptation in Central China. Agronomy 13(5):1339

Mamiit RJ, Yanagida J, Villanueva D (2020) Farm locations and dwelling clusters: do they make production and technical efficiency spatially contagious? Food Policy 92:101883CrossRef

Masud MM, Azam MN, Mohiuddin M, Banna H, Akhtar R, Alam AF, Begum H (2017) Adaptation barriers and strategies towards climate change: challenges in the agricultural sector. J Clean Prod 156:698–706. https://doi.org/10.1016/j.jclepro.2017.04.060CrossRef

Mataya DC, Vincent K, Dougill AJ (2020) How can we effectively build capacity to adapt to climate change? Insights from Malawi. Clim Dev 12(9):781–790. https://doi.org/10.1080/17565529.2019.1694480CrossRef

Meeusen W, van Den Broeck J (1977) Efficiency estimation from Cobb-Douglas production functions with composed error. Int Econ Rev: 435–444. https://doi.org/10.2307/2525757

Michler JD, Baylis K, Arends-Kuenning M, Mazvimavi K (2019) Conservation agriculture and climate resilience. J Environ Econ Manage 93:148–169. https://doi.org/10.1016/j.jeem.2018.11.008CrossRef

Min SHI, Paudel KP, Chen FB (2021) Mechanization and efficiency in rice production in China. J Integr Agric 20(7):1996–2008

National Bureau of Statistics (2019) China Statistical Yearbook. China Statistics Press, Beijing

Nelson DR (2011) Adaptation and resilience: Responding to a changing climate. Wiley Interdiscip Rev Clim Change 2(1):113–120. https://doi.org/10.1002/wcc.91CrossRef

Ojo TO, Baiyegunhi LJ (2020) Determinants of credit constraints and its impact on the adoption of climate change adaptation strategies among rice farmers in South-West Nigeria. J Econ Struct 9(1):1–5. https://doi.org/10.1186/s40008-020-00204-6CrossRef

Onyeneke RU (2021) Does climate change adaptation lead to increased productivity of rice production? Lessons from Ebonyi State, Nigeria. Renew Agr Food Syst 36(1):54–68. https://doi.org/10.1017/S1742170519000486CrossRef

Oostendorp R, van Asseldonk M, Gathiaka J, Mulwa R, Radeny M, Recha J, ..., van Wesenbeeck L (2019) Inclusive agribusiness under climate change: a brief review of the role of finance. Curr Opin Environ Sustain 41:18–22. https://doi.org/10.1016/j.cosust.2019.09.014

Pede VO, Areal FJ, Singbo A, McKinley J, Kajisa K (2018) Spatial dependency and technical efficiency: an application of a Bayesian stochastic frontier model to irrigated and rainfed rice farmers in Bohol, Philippines. Agric Econ 49(3):301–312. https://doi.org/10.1111/agec.12417CrossRef

Perrings C, Stern DI (2000) Modeling loss of resilience in agroecosystems: rangelands in Botswana. Environ Resour Econ 16(2):185–210. https://doi.org/10.1023/A:1008374222463CrossRef

Schmidhuber J, Tubiello FN (2007) Global food security under climate change. Proc Natl Acad Sci USA 104(50):19703–19708. https://doi.org/10.1073/pnas.0701976104CrossRef

Schmidt P (2011) One-step and two-step estimation in SFA models. J Prod Anal 36(2):201–203. https://doi.org/10.1007/s11123-011-0228-0CrossRef

Seyoum ET, Battese GE, Fleming EM (1998) Technical efficiency and productivity of maize producers in eastern Ethiopia: a study of farmers within and outside the Sasakawa-Global 2000 project. Agric Econ 19(3):341–348. https://doi.org/10.1111/j.1574-0862.1998.tb00536.xCrossRef

Shah H, Siderius C, Hellegers P (2020) Cost and effectiveness of in-season strategies for coping with weather variability in Pakistan’s agriculture. Agric Syst 178:102746. https://doi.org/10.1016/j.agsy.2019.102746CrossRef

Shah H, Hellegers P, Siderius C (2021a) Climate risk to agriculture: a synthesis to define different types of Critical Moments. Clim Risk Manag: 100378. https://doi.org/10.1016/j.crm.2021.100378

Shah H, Siderius C, Hellegers P (2021b) Limitations to adjusting growing periods in different agroecological zones of Pakistan. Agric Syst 192:103184. https://doi.org/10.1016/j.agsy.2021.103184CrossRef

Shen X, Zhang L, Zhang J, Ruiz-Menjivar J (2021) Quantifying the economic performance of ratoon rice production in China: an endogenous switching regression analysis. J Agric Sci Technol 23(2):265–281

Simonyan JB, Umoren BD, Okoye BC (2011) Gender differentials in technical efficiency among maize farmers in Essien Udim local government area, Nigeria. Int J Econ Manag Sci 1(2):17–23

Skevas T, Skevas I, Cabrera VE (2021) Farm profitability as a driver of spatial spillovers: the case of somatic cell counts on Wisconsin dairies. Agric Resour Econ Rev 50(1):187–200CrossRef

Tambo JA (2016) Adaptation and resilience to climate change and variability in north-east Ghana. Int J Disaster Risk Reduct 17:85–94. https://doi.org/10.1016/j.ijdrr.2016.04.005CrossRef

Tan S, Heerink N, Kuyvenhoven A, Qu F (2010) Impact of land fragmentation on rice producers’ TE in South-East China. NJAS - Wagening J Life Sci 57(2):117–123. https://doi.org/10.1016/j.njas.2010.02.001CrossRef

Teklewold H, Mekonnen A, Kohlin G, Di Falco S (2017) Does adaptation of multiple climate-smart practice improve farmers’ climate resilience? Empirical evidence from the Nile Basin of Ethiopia. Clim Change Econ 8(01):1750001. https://doi.org/10.1142/S2010007817500014CrossRef

Tong Q, Swallow B, Zhang L, Zhang J (2019) The roles of risk aversion and climate-smart agriculture in climate risk management: Evidence from rice production in the Jianghan Plain. China Clim Risk Manag 26:100199. https://doi.org/10.1016/j.crm.2019.100199CrossRef

Trinh TQ, Rañola RF Jr, Camacho LD, 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.2017.10.023CrossRef

Tu D, Jiang Y, Liu M, Zhang L, Chen L, Cai M, ..., Cao C (2020) Improvement and stabilization of rice production by delaying sowing date in irrigated rice system in central China. J Sci Food Agric 100(2):595–606. https://doi.org/10.1002/jsfa.10053

Uddin MN, Bokelmann W, Entsminger JS (2014) Factors affecting farmers’ adaptation strategies to environmental degradation and climate change effects: A farm level study in Bangladesh. Climate 2(4):223–241. https://doi.org/10.3390/cli2040223CrossRef

Vroege W, Meraner M, Polman N, Storm H, Heijman W, Finger R (2020) Beyond the single farm–a spatial econometric analysis of spillovers in farm diversification in the Netherlands. Land Use Policy 99:105019CrossRef

Wang HJ, Schmidt P (2002) One-step and two-step estimation of the effects of exogenous variables on technical efficiency levels. J Prod Anal 18(2):129–144. https://doi.org/10.1023/A:1016565719882CrossRef

Wheaton B (2003) When methods make a difference. Curr Sociol 51(5):543–571. https://doi.org/10.1177/00113921030515006CrossRef

Wheeler T, Von Braun J (2013) Climate change impacts on global food security. Science 341(6145):508–513. https://doi.org/10.1126/science.1239402CrossRef

Xiong W, Conway D, Lin E, Holman I (2009) Potential impacts of climate change and climate variability on China’s rice yield and production. Clim Res 40(1):23–35. https://doi.org/10.3354/cr00802CrossRef

Yang Z, Mugera AW, Yin N, Wang Y (2018) Soil conservation practices and production efficiency of smallholder farms in Central China. Environ Dev Sustain 1–17. https://doi.org/10.1007/s10668-017-9951-7

Zarei Z, Karami E, Keshavarz M (2020) Co-production of knowledge and adaptation to water scarcity in developing countries. J Environ Manage 262:110283. https://doi.org/10.1016/j.jenvman.2020.110283CrossRef

Zhang L, Ruiz-Menjivar J, Luo B, Liang Z, Swisher ME (2020) Predicting climate change mitigation and adaptation behaviors in agricultural production: A comparison of the theory of planned behavior and the Value-Belief-Norm Theory. J Environ Psychol 68:101408. https://doi.org/10.1016/j.jenvp.2020.101408CrossRef

Zhang J, Mishra AK, Zhu P (2021a) Land rental markets and labor productivity: Evidence from rural China. Can J Agric Econ 69(1):93–115. https://doi.org/10.1111/cjag.12247CrossRef

Zhang L, Ruiz-Menjivar J, Tong Q, Zhang J, Yue M (2021b) Examining the carbon footprint of rice production and consumption in Hubei, China: A life cycle assessment and uncertainty analysis approach. J Environ Manage 300:113698. https://doi.org/10.1016/j.jenvman.2021.11369CrossRef

Zou B, Mishra AK, Luo B (2018) Aging population, farm succession, and farmland usage: Evidence from rural China. Land Use Policy 77:437–445

Title: Examining the effects of climate change adaptation on technical efficiency of rice production
Authors: Yong Liu
Jorge Ruiz-Menjivar
Monica Zavala
Junbiao Zhang
Publication date: 01-12-2023
Publisher: Springer Netherlands
Published in: Mitigation and Adaptation Strategies for Global Change / Issue 8/2023
Print ISSN: 1381-2386
Electronic ISSN: 1573-1596
DOI: https://doi.org/10.1007/s11027-023-10092-3

Springer Professional

Abstract

Please log in to get access to your license.

Other articles of this Issue 8/2023

What is slowing progress on climate change adaptation? Evaluating barriers to planning for sea level rise in Florida

Reply to: Rebuttal to: Fan et al. (2021) “A bibliometric analysis of the water‑energy‑food nexus based on the SCIE and SSCI database of the Web of Science”, Mitig. Adapt. Strateg. Glob. Chang. vol. 26, 8

The landscape of European policies in the power sector: first-mover advantages

The problem of permanence for carbon sequestration in forests

Using historical institutionalism as a guidepost to understanding policy change in Rust Belt cities

Incremental and transformational adaptation to climate change among Indigenous Peoples and local communities: a global review