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Spatiotemporal characteristics and influencing factors of agricultural eco-efficiency in Jilin agricultural production zone from a low carbon perspective

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Abstract

Agricultural eco-efficiency is a meaningful index that assesses agricultural sustainable development. Based on the super SBM-DEA approach incorporating agricultural carbon emissions and panel data regression, this study evaluates agricultural eco-efficiency and investigates the influencing factors in the agricultural production zone of Jilin Province. The empirical results show the following. (1) During the observation period, the average agricultural eco-efficiency exhibits a flat “M-shaped” fluctuating trend, a trend of fluctuant growth with phase characteristics, and the agricultural eco-efficiency of each county still has much room for improvement. (2) Significant spatial differences exist in agricultural eco-efficiency across counties. All of the studied counties, except for Nong’an, Huadian, Lishu, Yitong, Gongzhuling, and Qianguo, need to change their input and output structure to optimize agricultural eco-efficiency. (3) The panel data regression estimation results indicate that the agricultural technology extension level, multiple-crop index, agricultural economic development level, agricultural technology extension level, and urbanization level have close correlations with agricultural eco-efficiency. (4) The research findings have important implications for policy makers formulating agricultural environmental policies in accordance with the local conditions of various counties.

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Data availability

Some or all data, models, or codes that support the findings of this study are available from the corresponding author upon reasonable request.

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Acknowledgements

The authors gratefully acknowledge all the reviewers and editors for their insightful comments.

Funding

The research received financial support from the National Natural Science Foundation of China (No. 41771138).

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Authors and Affiliations

  1. College of Geographical Science, Northeast Normal University, Changchun, 130024, People’s Republic of China

    Yanhua Guo & Lin Mei

  2. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, People’s Republic of China

    Yanhua Guo & Lianjun Tong

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  1. Yanhua Guo
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  2. Lianjun Tong
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Contributions

Methodology, Guo Yanhua; software, Guo Yanhua; writing-original draft, Guo Yanhua; conceptualization, Tong Lianjun and Mei Lin; funding acquisition, Tong Lianjun; and writing-review and editing, Mei Lin.

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Correspondence to Lianjun Tong or Lin Mei.

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Guo, Y., Tong, L. & Mei, L. 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 (2022). https://doi.org/10.1007/s11356-021-16463-0

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