Abstract
Achieving global climate change mitigation targets requires low-carbon production in agriculture. In such an endeavor, a new classification of climate-adaptive technology is defined to affect agriculture towards the low-carbon direction, but such an impact has seldom been empirically tested in the literature. In this paper, we investigate the impact of climate-adaptive technological innovation on agricultural carbon efficiency, a proxy for low-carbon agriculture. We use a stochastic directional distance function framework and a cross-country dataset covering 38 OECD countries. Additionally, we test the heterogeneous impact, considering that regional economic development is a crucial condition for deploying advanced technologies. The findings show that climate-adaptive technological innovation can promote carbon efficiency in agriculture, and this aggregate effect hides significant heterogeneity at different levels of economic development. The higher the economic development level is, the better climate-adaptive technological innovation contributes to improving agricultural carbon efficiency. Then, related policy implications are set forth.
Similar content being viewed by others
Data availability
All the data and materials are included in the manuscript.
Notes
It has been proven that there is a large amount of organic and inorganic carbon in the soil, and agricultural production activity can destroy the soil structure, releasing GHG emissions from cultivated land (IPCC 2019).
References
Aghion P, Dechezleprêtre A, Hémous D, Martin R, Van Reenen J (2016) Carbon taxes, path dependency, and directed technical change: evidence from the auto industry. J Polit Econ 124:1–51
Akkaya D, Bimpikis K, Lee H (2021) Government Interventions to Promote Agricultural Innovation. Manuf Serv Oper Manag 23(2):437–452
Benhabib J, Spiegel MM (2005) Chapter 13 human capital and technology diffusion. In: Aghion P, Durlauf SN (eds) Handbook of Economic Growth. North Holland
Bitzer J, Kerekes M (2008) Dose foreign direct investment transfer technology across borders? New Evid Econ Lett 100:355–358
Calel R, Dechezleprêtre A (2016) Environmental policy and directed technological change: evidence from the European carbon market. Rev Econ Stat 98:173–191
Chen C, Pan J, Lam S (2014) A review of precision fertilization research. Environ Earth Sci 71(9):4073–4080
Chen P, Yu M, Chang C, Hsu S (2008) Total factor productivity growth in China’s agricultural sector. China Econ Rev 19:580–593
Clements R, Haggar J, Quezada A, Torres J (2011) Technologies for Climate Change Adaptation - Agriculture Sector. UNEP Risø Centre, Roskilde
Climate Watch, 2021. https://www.climatewatchdata.org/sectors/agriculture#resources-for-action.
Cohen W, Levinthal D (1990) Absorptive capacity: a new perspective on learning and innovation. Adm Sci Q 35(1):128–152
CPC. 2023. CPC Scheme and Definitions. https://www.cooperativepatentclassification.org/cpcSchemeAndDefinitions/table
Cui Y, Khan SU, Deng Y, Zhao M (2022) Spatiotemporal heterogeneity convergence and its impact factors: perspective of carbon emission intensity and carbon emission per capita considering carbon sink effect. Environ Impact Assess Rev 92:106699
Dechezleprêtre A, Glachant M, Haščič I, Johnstone N, Ménière Y (2011) Invention and transfer of climate change–mitigation technologies: a global analysis. Rev Environ Econ Policy 5:109–130
Deng Y, Cui Y, Khan S, Zhao M, Lu Q (2022) The spatiotemporal dynamic and spatial spillover effect of agricultural green technological progress in China. Environ Sci Pollut Res 29(19):1–15
Du K, Li J (2019) Towards a green world: how do green technology innovations affect total-factor carbon productivity. Energy Policy 131:240–250
Du K, Li P, Yan Z (2019) Do green technology innovations contribute to carbon dioxide emission reduction? Empirical evidence from patent data. Technol Forecast Soc Chang 146:297–303
Du K, Zhang YH, Zhou QK (2020) Fitting partially linear functional-coefficient panel-data models with Stata. Stata J 20(4):976–998
Elahi E, Khalid Z, Zhang Z (2022) Understanding farmers’ intention and willingness to install renewable energy technology: a solution to reduce the environmental emissions of agriculture. Appl Energy 309:118459
Esteve P, Varela-Ortega C, Blanco-Gutiérrez I, Downing T, E. (2015) A hydro-economic model for the assessment of climate change impacts and adaptation in irrigated agriculture. Ecol Econ 120:49–58
Fagerberg J, Srholec M, Verspagen B (2010) Innovation and economic development. Handbook Econ Innov 2:833–872
Fan P (2010) Innovation capacity and economic development: China and India. Econ Chang Restruct 44:49–73
Fei R, Lin Z, Chunga J (2021) How land transfer affects agricultural land use efficiency: evidence from China’s agricultural sector. Land Use Policy 103:105300
Fleischer A, Mendelsohn R, Dinar A (2011) Bundling agricultural technologies to adapt to climate change. Technol Forecast Soc Change 78:982–990
Griliches Z (1990) Patent statistics as economic indicators: a survey. J Econ Lit 28:1661–1707
Grossman GM, Helpman E (1991) Innovation and Growth in the Global Economy. MIT Press, Cambridge (MA)
Guo Y, Tong L, Mei L (2022) Spatiotemporal characteristics and influencing factors of agricultural eco-efficiency in Jilin agricultural production zone from a low carbon perspective. Environ Sci Pollut Res 29:29854–29869
Gupta A, Rico-Medina A, Cano-Delgado AI (2020) The physiology of plant responses to drought. Science 368:266–269
Hao LN, Umar M, Khan Z, Ali W (2021) Green growth and low carbon emission in G7 countries: how critical the network of environmental taxes, renewable energy and human capital is? Sci Total Environ 752:141853
Haščič I, Silva J, Johnstone N (2015) The use of patent statistics for international comparisons and analysis of narrow technological fields. OECD Science, Technology & Industry Working Papers. OECD Publishing, Paris
He P, Zhang J, Li W (2021) The role of agricultural green production technologies in improving low-carbon efficiency in China: necessary but not effective. J Environ Manag 293:112837
Hoang V, Coelli T (2011) Measurement of agricultural total factor productivity growth incorporating environmental factors: a nutrients balance approach. J Environ Econ Manag 62:462–474
International Energy Agency (IEA) (2015) Energy Technology Perspectives 2015: Mobilising Innovation to Accelerate Climate Action. IEA Publications, Paris, France
IPCC (2019) Climate Change and Land. Panel on Climate Change, Intergovernmental
Kaya Y, Yokobori K (1997) Environment, Energy, and Economy [Electronic Resource]: Strategies for Sustainability.
Kim L (1980) Stages of development of industrial technology in a develo** country: A model. Res Policy 9:254–277
Kim L (1997) Imitation to Innovation: The Dynamics of Kerea’s Technological Learning. Harvard Business School Press, Harvard
Kuang B, Lu XH, Zhou M, Chen DL (2020) Provincial cultivated land use efficiency in China: empirical analysis based on the SBM-DEA model with carbon emissions considered. Technol Forecast Soc Chang 151:1198874
Lazonick W (2003) The theory of the market economy and the social foundations of innovative enterprise. Econ Ind Democr 24(1):9–44
Li J, Huang X, Yang T, Su M, Guo L (2023) Reducing the carbon emission from agricultural production in China: do land transfer and urbanization matter? Environ Sci Poll Res. https://doi.org/10.1007/s11356-023-27262-0
Lin B, Du K (2015) Modeling the dynamics of carbon emission performance in china: a parametric malmquist index approach. Energy Econ 49:550–557
Liu H, Wen S, Wang Z (2022) Agricultural production agglomeration and total factor carbon productivity: based on NDDF-MML index analysis. China Agric Econ Rev. https://doi.org/10.1108/CAER-02-2022-0035/
Liu M, Yang X, Wen J, Wang H, Feng Y, Lu J, Chen H, Wu J, Wang J (2023) Drivers of China’s carbon dioxide emissions: based on the combination model of structural decomposition analysis and input-output subsystem method. Environ Impact Assess Rev 100:107043
Liu Y, Zhu J, Li EY et al (2020) Environmental regulation, green technological innovation, and eco-efficiency: the case of Yangtze River economic belt in China. Technol Forecast Soc Change 155:119993
Long X, Naminse E, Du J, Zhuang J (2015) Non-renewable energy, renewable energy, carbon dioxide emissions and economic growth in China from 1952 to 2012. Renew Sust Energ Rev 52:680–688
Lybbert T, Sumner D (2010) Agricultural Technologies for Climate Change Mitigation and Adaptation in Develo** Countries: Policy Options for Innovation and Technology Diffusion. International Centre for Trade and Sustainable Development
Lybbert T, Sumner D (2012) Agricultural technologies for climate change in develo** countries: policy options for innovation and technology diffusion. Food Policy 37(1):114–123
MacBean N, Peylin P (2014) Agriculture and the global carbon cycle. Nature 515:351–352
McCarl BA, Schneider UA (2001) Greenhouse gas mitigation in U.S. agriculture and forestry. Science 294:2481–2482
Midingoyi SKG, Kassie M, Muriithi B, Diiro G, Ekesi S (2018) Do farmers and the environment benefit from adopting integrated pest management practices? Evidence from Kenya. The J Int Assoc Agric Econ 70:452–470
Minten B, Barrett C (2008) Agricultural technology, productivity, and poverty in Madagascar. World Dev 36:797–822
Neil F (2016) Exports, growth and threshold effects in Africa. J Dev Stud 42(6):1056–1074
Nonhebel S (2007) Energy from agricultural residues and consequences for land requirements for food production. Agric Syst 94(2):586–592
Norse D (2012) Low carbon agriculture: objectives and policy pathways. Environ Dev 1:25–39
Omri A (2020) Technological innovation and sustainable development: dose the stage of development matter? Environ Impact Assess Rev 83:106398
Popp D (2002) Induced innovation and energy prices. Am Econ Rev 92:160–180
Reilly J, Hohmann N (1993) Climate change and agriculture: the role of international trade. Am Econ Rev 83:306–312
Schutz L, Gattinger A, Meier M, Muller A, Boller T, Mader P, Mathimaran N (2018) Improving crop yield and nutrient use efficiency via biofertilization–a global meta-analysis. Front Plant Sci 8:2204
Sharma GD, Shah MI, Shahzad U, Jain M, Chopra R (2021) Exploring the nexus between agriculture and greenhouse gas emissions in BIMSTEC region: the role of renewable energy and human capital as moderators. J Environ Manag 297:113316
Shen Z, Wang S, Boussemart J, Hao Y (2022) Digital transition and green growth in Chinese agricultural. Technol Forecast Soc Change 181:121742
Shi R, Cui Y, Zhao M (2021) Role of low-carbon technology innovation in environmental performance of manufacturing: evidence from OECD countries. Environ Sci Pollut Res 28(6)
Silva-Olaya AM, Cerri CE, La Scala N Jr, Dias CT, Cerri CC (2013) Carbon dioxide emissions under different soil tillage systems in mechanically harvested sugarcane. Environ Res Lett 8:1–8
Singh L, Joseph KJ, Johnson DK (2015) Technology, Innovations and Economic Development: Essays in Honour of Robert E. Evenson. SAGE Publications India
Smithers J, Blay-Palmer A (2001) Technology innovation as a strategy for climate adaptation in agriculture. Appl Geogr 21:175–197
Song M, An Q, Zhang W, Wang Z, Wu J (2012) Environmental efficiency evaluation based on data envelopment analysis: a review. Renew Sust Energ Rev 16:4465–4469
Tang L, Xu Z, Chen W (2017) Advances and prospects of super rice breeding in China. J Integr Agric 16(5):984–991
Testik MC, Sarikulak O (2021) Change points of real GDP per capita times series corresponding to the periods of industrial revolutions. Technol Forecast Soc Chang 170:120911
Tian W, Yang L, Jiang J (2014) Measurement and analysis of China’s agricultural environmental efficiency from a low-carbon perspective: a model based on undesired output. China Rural Survey 5:59–71+95 (in Chinese)
Wadud A, White B (2000) Farm household efficiency in Bangladesh: a comparison of stochastic frontier and DEA methods. Appl Econ 32:1665–1673
Wan N, Ji X, Jiang J, Qiao H, Huang K (2013) A methodological approach to assess the combined reduction of chemical pesticides and chemical fertilizers for low-carbon agriculture. Ecol Indic 24:344–352
Wang B (2017) Review of environmental policy and technological innovation. Econ Rev 4:131–148 (in Chinese)
Wang HJ, Ho CW (2010) Estimating fixed-effect panel stochastic frontier models by model transformation. J Econ 157(2):286–296
Wang J, Xu T (2021) Environmental impact of Information Communication Technology: a review of econometric assessment methods, influential mechanism, and influential direction. Environ Impact Assess Rev 89:106590
Wang W, Guo L, Li Y, Su M, Lin Y, Perthuis C, Ju X, Lin E, Moran D (2015) Greenhouse gas intensity of three main crops and implications for low-carbon agriculture in China. Climate Change 128:57–70
Wang W, Zhang H, Mo F, Liao Y, Wen X (2022) Reducing greenhouse gas emissions and improving net ecosystem economic benefit through long-term conservation tillage in a wheat-maize multiple crop** system in the Loess Plateau, China. Eur J Agron 141:126619
Wei L, Lin B, Zheng Z, Wu W, Zhou Y (2023) Dose fiscal expenditure promote green technological innovation in China? Evidence from Chinese cities. Environ Impact Assess Rev 98:106945
White S (1994) Ogallala oasis: water use, population redistribution, and policy implications in the high plains of Western Kansas, 1980–1990. Ann Assoc Am Geogr 84(1):29–45
Xu B, Lin B (2017) Factors affecting CO2 emissions in China’s agricultural sector: evidence from geographically weighted regression model. Energy Policy 104:404–414
Xue C, Shahbaz M, Ahmed Z, Ahmad M, Sinha A (2022) Clean energy consumption, economic growth, and environmental sustainability: what is the role of economic policy uncertainty? Renew Energy 184:899–907
Yan Z, Shi R, Du K, Yi L (2022) The role of green production process innovation in green manufacturing: empirical evidence from OECD countries. Appl Econ 54(59):6755–6767
Yan Z, Zou B, Du K, Li K (2020) Do renewable energy technology innovations promote China’s green productivity growth? Fresh evidence from partially linear functional-coefficient models. Energy Econ 90:104842
Yang J, Wang H, ** S, Chen K, Riedinger J, Peng C (2016) Migration, local off farm employment, and agricultural production efficiency: evidence from China. J Prod Anal 45:247–259
Zaman K, Khan MM, Ahmad M, Rustam R (2012) The relationship between agricultural technology and energy demand in Pakistan. Energy Policy 44:268–279
Zhang N, Zhang G, Li Y (2019) Dose major agriculture production zone have higher carbon efficiency and abatement cost under climate change mitigation? Ecol Indic 105:376–385
Zhang Y, Mao Y, Jiao L, Shuai C, Zhang H (2021) Eco-efficiency, eco-technology innovation and eco-well-being performance to improve global sustainable development. Environ Impact Assess Rev 89:106580
Zhang Y, Zhou Q (2021) Partially linear functional-coefficient panel data models: Sieve Estimation and Specification testing. Econ Rev:983–1006
Zhao R, Liu Y, Tian M, Ding M, Cao L, Zhang Z, Chuai X, **ao L, Yao L (2018) Impacts of water and land resources exploitation on agricultural carbon emissions: the water-land-energy-carbon nexus. Land Use Policy 72:480–492
Zhou P, Ang B, Han J (2010) Total factor carbon emission performance: a Malmquist index analysis. Energy Econ 32:194–201
Funding
The paper is funded by National Social Science Foundation of China (No. 22&ZD083), National Natural Science Foundation of China (No. 72173097), the National Natural Science Foundation of China (Grant no. 72003145), China Postdoctoral Science Foundation (Grant no.2020M683437), and the Humanities and Social Science Research Project of the Ministry of Education of China (Grant no. 18YJC790194).
Author information
Authors and Affiliations
Contributions
Rui Shi: conceptualization, formal analysis, writing—original draft, writing—review and editing, methodology, and validation. Liuyang Yao: writing—review and editing, grammar, and review. Minjuan Zhao: supervision, funding acquisition, and project administration. Zheming Yan: supervision, funding acquisition, project administration, resources, software, and writing—review and editing.
Corresponding author
Ethics declarations
Ethics approval
Not applicable.
Consent to participate
Not applicable.
Consent for publication
We confirm that the research has not been published before, that it is not under consideration for publication elsewhere, that its publication has been approved by all co-authors, that its publication has been approved by the responsible authorities at the institution where the work is carried out.
Conflict of interest
The authors declare no competing interests.
Additional information
Responsible Editor: Zhihong Xu
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Shi, R., Yao, L., Zhao, M. et al. The role of climate-adaptive technological innovation in promoting agriculture carbon efficiency: impact and heterogeneity in economic development. Environ Sci Pollut Res 30, 126029–126044 (2023). https://doi.org/10.1007/s11356-023-31205-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-023-31205-0