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Spatiotemporal Differentiation of Carbon Emission Efficiency and Influencing Factors in the Five Major Maize Producing Areas of China

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  • Zhiyuan Zhang

    (College of Economics & Management, Northeast Forestry University, Harbin 150040, China)

  • Huiyan Qin

    (College of Economics & Management, Northeast Forestry University, Harbin 150040, China)

Abstract

Understanding the carbon emission efficiency (CEE) of maize production and its determinants is critical to supporting China’s dual-carbon goals and advancing sustainable agriculture. This study employs a super-efficiency slack-based measure model (SBM) to evaluate the CEE of five major maize-producing regions in China from 2001 to 2022. Kernel density estimation and the Dagum Gini coefficient are used to analyze spatiotemporal disparities, while a geographically and temporally weighted regression (GTWR) model explores the underlying drivers. Results indicate that the national average maize CEE was 0.86, exhibiting a “W-shaped” fluctuation with turning points in 2009 and 2016. From 2001 to 2015, the Southwestern Mountainous Region led with an average efficiency of 0.76. Post-2015, the Northern Spring Maize Region emerged as the most efficient area, reaching 0.90. Efficiency levels have generally become more concentrated across regions, though the Southern Hilly and Northwest Irrigated Regions showed higher volatility. Inter-regional differences were the primary source of overall CEE disparity, with an average annual contribution of 46.66%, largely driven by the efficiency gap between the Northwest Irrigated Region and other areas. Spatial heterogeneity was evident in the impact of key factors. Agricultural mechanization, cropping structure, and environmental regulation exhibited region-specific effects. Rural economic development and agricultural fiscal support were positively associated with CEE, while urbanization had a negative correlation. These findings provide a theoretical foundation and policy reference for region-specific emission reduction strategies and the green transition of maize production in China.

Suggested Citation

  • Zhiyuan Zhang & Huiyan Qin, 2025. "Spatiotemporal Differentiation of Carbon Emission Efficiency and Influencing Factors in the Five Major Maize Producing Areas of China," Agriculture, MDPI, vol. 15(15), pages 1-23, July.
    • Handle: RePEc:gam:jagris:v:15:y:2025:i:15:p:1621-:d:1710674
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    1. Li, Xiang & Chen, Beizi & Liu, Haijun & Xu, Mengqi & Yang, Haijun, 2025. "Characteristics of agricultural carbon emissions in arid zones, drivers and decoupling effects: evidence from Xinjiang, China," Energy, Elsevier, vol. 328(C).
    2. Stéphane Cara & Martin Houzé & Pierre-Alain Jayet, 2005. "Methane and Nitrous Oxide Emissions from Agriculture in the EU: A Spatial Assessment of Sources and Abatement Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(4), pages 551-583, December.
    3. Kaoru Tone & Miki Tsutsui, 2010. "An epsilon-based measure of efficiency in DEA revisited -A third pole of technical efficiency," GRIPS Discussion Papers 09-21, National Graduate Institute for Policy Studies.
    4. Dagum, Camilo, 1997. "A New Approach to the Decomposition of the Gini Income Inequality Ratio," Empirical Economics, Springer, vol. 22(4), pages 515-531.
    5. Ang, B.W., 2015. "LMDI decomposition approach: A guide for implementation," Energy Policy, Elsevier, vol. 86(C), pages 233-238.
    6. IGNATIUS, Joshua & GHASEMI, M.-R. & ZHANG, Feng & EMROUZNEJAD, Ali & HATAMI-MARBINI, Adel, 2016. "Carbon Efficiency Evaluation: An Analytical Framework Using Fuzzy DEA," LIDAM Reprints CORE 2735, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Lianguang Mo, 2024. "Evaluation model of carbon emission efficiency of land intensive use based on SBM model," International Journal of Environmental Technology and Management, Inderscience Enterprises Ltd, vol. 27(3), pages 200-215.
    8. Weini Chen & Dejun Han & Yu Zhan & Bo Chen, 2025. "The Impact of Rural Population Decline on the Economic Efficiency of Agricultural Carbon Emissions: A Case Study of the Contiguous Karst Areas in Yunnan–Guizhou Provinces, China," Agriculture, MDPI, vol. 15(10), pages 1-25, May.
    9. O’Brien, Travis A. & Kashinath, Karthik & Cavanaugh, Nicholas R. & Collins, William D. & O’Brien, John P., 2016. "A fast and objective multidimensional kernel density estimation method: fastKDE," Computational Statistics & Data Analysis, Elsevier, vol. 101(C), pages 148-160.
    10. Tone, Kaoru & Tsutsui, Miki, 2010. "An epsilon-based measure of efficiency in DEA - A third pole of technical efficiency," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1554-1563, December.
    11. Wang, Jieyu & Shan, Yuli & Cui, Can & Zhao, Congyu & Meng, Jing & Wang, Shaojian, 2024. "Investigating the fast energy-related carbon emissions growth in African countries and its drivers," Applied Energy, Elsevier, vol. 357(C).
    12. Ignatius, Joshua & Ghasemi, M.-R. & Zhang, Feng & Emrouznejad, Ali & Hatami-Marbini, Adel, 2016. "Carbon efficiency evaluation: An analytical framework using fuzzy DEA," European Journal of Operational Research, Elsevier, vol. 253(2), pages 428-440.
    13. Guanghe Han & Jiahui Xu & Xin Zhang & Xin Pan, 2024. "Efficiency and Driving Factors of Agricultural Carbon Emissions: A Study in Chinese State Farms," Agriculture, MDPI, vol. 14(9), pages 1-22, August.
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