IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v16y2025i2d10.1007_s13132-024-02272-6.html
   My bibliography  Save this article

Spatio-Temporal Evolution and Influencing Factors of Grain Green Production Efficiency in China Under the Human Capital Perspective—A Study Based on Geographic Detector

Author

Listed:
  • Liqing Xue

    (China University of Mining and Technology)

  • Huawei Niu

    (China University of Mining and Technology)

  • Wenlong Cui

    (China University of Mining and Technology)

Abstract

Improving grain green production efficiency (GGPE) can help promote stable food growth while taking into account ecological and environmental protection, which has profound significance for sustainability of the economy and society. Nevertheless, the current measurement of GGPE ignores the role of human capital. Therefore, this paper measures GGPE in 31 Chinese provinces from 2001 to 2020 in terms of human capital, considering carbon emissions as pollutants, and utilizing the slack-based measured directional distance function (SBM-DDF) and Global Malmquist-Luenberger (GML) index model. Based on the standard deviation ellipse (SDE) model and geographic detector, this research analyzes the space–time pattern changes of GGPE and the driving and interacting roles of influencing factors. The results of the study revealed that (1) Chinese GGPE shows a small upward trend in the whole in 2001–2020. However, the lack of technology innovation limits the GGPE’s growth. (2) GGPE in China is spatially featured by the highest values in the center area, followed by the eastern area, and the lowest values in the western area. The spatial center of gravity moves towards the northeast as a whole throughout the research duration. (3) In the viewpoint of spatial stratified heterogeneity, the key influencing factors of GGPE are sunshine conditions, temperature changes, urbanization, industrial structure, and transportation. Sunshine conditions and industrial structure, natural disasters and industrial structure, and temperature changes and economic development have the most prominent driving effect on GGPE after the interaction. Finally, according to the results, this study suggests policy proposals to improve China’s GGPE.

Suggested Citation

  • Liqing Xue & Huawei Niu & Wenlong Cui, 2025. "Spatio-Temporal Evolution and Influencing Factors of Grain Green Production Efficiency in China Under the Human Capital Perspective—A Study Based on Geographic Detector," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 16(2), pages 9123-9160, June.
  • Handle: RePEc:spr:jknowl:v:16:y:2025:i:2:d:10.1007_s13132-024-02272-6
    DOI: 10.1007/s13132-024-02272-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-024-02272-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13132-024-02272-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Manogna R. L. & Aswini Kumar Mishra, 2022. "Agricultural production efficiency of Indian states: Evidence from data envelopment analysis," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4244-4255, October.
    2. Dong-hyun Oh, 2010. "A global Malmquist-Luenberger productivity index," Journal of Productivity Analysis, Springer, vol. 34(3), pages 183-197, December.
    3. Fengge Yao & Liqing Xue & Jiayuan Liang, 2022. "Research on coupling coordination and influencing factors between Urban low-carbon economy efficiency and digital finance—Evidence from 100 cities in China’s Yangtze River economic belt," PLOS ONE, Public Library of Science, vol. 17(7), pages 1-32, July.
    4. Mikael Lindahl & Alan B. Krueger, 2001. "Education for Growth: Why and for Whom?," Journal of Economic Literature, American Economic Association, vol. 39(4), pages 1101-1136, December.
    5. Barro, Robert J & Lee, Jong-Wha, 2001. "International Data on Educational Attainment: Updates and Implications," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 541-563, July.
    6. Arabi, Behrouz & Munisamy, Susila & Emrouznejad, Ali, 2015. "A new slacks-based measure of Malmquist–Luenberger index in the presence of undesirable outputs," Omega, Elsevier, vol. 51(C), pages 29-37.
    7. Fare, Rolf & Shawna Grosskopf & Mary Norris & Zhongyang Zhang, 1994. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries," American Economic Review, American Economic Association, vol. 84(1), pages 66-83, March.
    8. Fenghua Wen & Donghan Lyu & Daohan Huang, 2023. "Spatiotemporal Heterogeneity of Total Factor Productivity of Grain in the Yangtze River Delta, China," Land, MDPI, vol. 12(8), pages 1-17, July.
    9. Yi, Fujin & Sun, Dingqiang & Zhou, Yingheng, 2015. "Grain subsidy, liquidity constraints and food security—Impact of the grain subsidy program on the grain-sown areas in China," Food Policy, Elsevier, vol. 50(C), pages 114-124.
    10. Wang, Yun & Sun, Xiaohua & Guo, Xu, 2019. "Environmental regulation and green productivity growth: Empirical evidence on the Porter Hypothesis from OECD industrial sectors," Energy Policy, Elsevier, vol. 132(C), pages 611-619.
    11. Li, Tingting & Wang, Yong, 2018. "Growth channels of human capital: A Chinese panel data study," China Economic Review, Elsevier, vol. 51(C), pages 309-322.
    12. Fukuyama, Hirofumi & Weber, William L., 2009. "A directional slacks-based measure of technical inefficiency," Socio-Economic Planning Sciences, Elsevier, vol. 43(4), pages 274-287, December.
    13. Yue Pan & Gangmin Weng & Conghui Li & Jianpu Li, 2021. "Coupling Coordination and Influencing Factors among Tourism Carbon Emission, Tourism Economic and Tourism Innovation," IJERPH, MDPI, vol. 18(4), pages 1-17, February.
    14. Hongman Liu & Shibin Wen & Zhuang Wang, 2022. "Agricultural production agglomeration and total factor carbon productivity: based on NDDF–MML index analysis," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 14(4), pages 709-740, July.
    15. Hongman Liu & Shibin Wen & Zhuang Wang, 2022. "Agricultural production agglomeration and total factor carbon productivity: based on NDDF–MML index analysis," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 14(4), pages 709-740, July.
    16. Min Zhang & Chengrong Li & Jinshan Zhang & Hongwei Chen, 2023. "How Green Finance Affects Green Total Factor Productivity—Evidence from China," Sustainability, MDPI, vol. 16(1), pages 1-18, December.
    17. Yang Shen & Xiaoyang Guo & Xiuwu Zhang, 2023. "Digital Financial Inclusion, Land Transfer, and Agricultural Green Total Factor Productivity," Sustainability, MDPI, vol. 15(8), pages 1-25, April.
    18. Chengyou Li & Zhouhao Sha & Xiaoqin Sun & Yong Jiao, 2022. "The Effectiveness Assessment of Agricultural Subsidy Policies on Food Security: Evidence from China’s Poverty-Stricken Villages," IJERPH, MDPI, vol. 19(21), pages 1-17, October.
    19. Xiaolong Wang & Yun Chen & Xiaowei Chen & Rongrong He & Yueshan Guan & Yawen Gu & Yong Chen, 2019. "Crop Production Pushes up Greenhouse Gases Emissions in China: Evidence from Carbon Footprint Analysis Based on National Statistics Data," Sustainability, MDPI, vol. 11(18), pages 1-18, September.
    20. Schmitt, Jonas & Offermann, Frank & Söder, Mareike & Frühauf, Cathleen & Finger, Robert, 2022. "Extreme weather events cause significant crop yield losses at the farm level in German agriculture," Food Policy, Elsevier, vol. 112(C).
    21. Yuan Ma & Bernhard Brümmer & Xiaohua Yu, 2023. "Trade development and agricultural productivity change: Evidence from China," The World Economy, Wiley Blackwell, vol. 46(10), pages 3136-3153, October.
    22. Zhuohui Yu & Qingning Lin & Changli Huang, 2022. "Re-Measurement of Agriculture Green Total Factor Productivity in China from a Carbon Sink Perspective," Agriculture, MDPI, vol. 12(12), pages 1-26, November.
    23. Deng, Haiyan & Zheng, Wangyi & Shen, Zhiyang & Štreimikienė, Dalia, 2023. "Does fiscal expenditure promote green agricultural productivity gains: An investigation on corn production," Applied Energy, Elsevier, vol. 334(C).
    24. Pittman, Russell W, 1983. "Multilateral Productivity Comparisons with Undesirable Outputs," Economic Journal, Royal Economic Society, vol. 93(372), pages 883-891, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liqing Xue & Fengge Yao & Jiayuan Liang, 2025. "Study on the spatial and temporal evolution characteristics and future trends of China’s coal mining and dressing industry green total factor productivity," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(8), pages 19025-19066, August.
    2. Liu, Xiaohong & Yang, Jiangjiang & Xu, Chengzhen & Li, Xingchen & Zhu, Qingyuan, 2023. "Environmental regulation efficiency analysis by considering regional heterogeneity," Resources Policy, Elsevier, vol. 83(C).
    3. Liu, Hongman & Li, Xixi, 2025. "How digital technology can improve new quality productive forces? ——Perspective of total factor agricultural carbon productivity," Journal of Asian Economics, Elsevier, vol. 98(C).
    4. Dai, Zhifeng & Zhu, Haoyang, 2024. "Climate policy uncertainty and urban green total factor productivity: Evidence from China," International Review of Financial Analysis, Elsevier, vol. 96(PA).
    5. Prerna Thapliyal & Rachita Gulati & Dinesh Kumar Nauriyal, 2025. "What determines green total factor productivity in the Indian manufacturing sector? A spatial–temporal analysis," Empirical Economics, Springer, vol. 69(3), pages 1079-1116, September.
    6. Xi Zhang & Rui Li & Jinglei Zhang, 2022. "Understanding the Green Total Factor Productivity of Manufacturing Industry in China: Analysis Based on the Super-SBM Model with Undesirable Outputs," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
    7. Wang, Ruixue & Deng, Xiangzheng & Gao, Yunxiao & Chen, Jiancheng, 2025. "Does regional economic development drive sustainable grain production growth in China? Evidence from spatiotemporal perspective on low-carbon total factor productivity," Socio-Economic Planning Sciences, Elsevier, vol. 98(C).
    8. Shuai Wang & Cunyi Yang & Zhenghui Li, 2022. "Green Total Factor Productivity Growth: Policy-Guided or Market-Driven?," IJERPH, MDPI, vol. 19(17), pages 1-19, August.
    9. Huang, Hongyun & Mo, Renbian & Chen, Xingquan, 2021. "New patterns in China's regional green development: An interval Malmquist–Luenberger productivity analysis," Structural Change and Economic Dynamics, Elsevier, vol. 58(C), pages 161-173.
    10. Chen, Xiaodong & Miao, Zhuang & Wu, Ge & Zhu, Pengyu, 2024. "City-level green growth accounting: Evidence from China's thirteen urban agglomerations," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).
    11. Wu, Ge & Baležentis, Tomas & Sun, Chuanwang & Xu, Shuhua, 2019. "Source control or end-of-pipe control: Mitigating air pollution at the regional level from the perspective of the Total Factor Productivity change decomposition," Energy Policy, Elsevier, vol. 129(C), pages 1227-1239.
    12. Liu, Zuankuo & Xin, Li, 2019. "Has China's Belt and Road Initiative promoted its green total factor productivity?——Evidence from primary provinces along the route," Energy Policy, Elsevier, vol. 129(C), pages 360-369.
    13. Zhou, Dequn & Dong, Zhuojia & Sang, Xiuzhi & Wang, Qunwei & Yu, Xianyu, 2023. "Do feed-in tariff reduction and green certificate trading effectively promote regional sustainable development?," Energy, Elsevier, vol. 283(C).
    14. Lena, Daniela & Pasurka, Carl A. & Cucculelli, Marco, 2022. "Environmental regulation and green productivity growth: Evidence from Italian manufacturing industries," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    15. Feng Ye & Lang Wang & Amar Razzaq & Ting Tong & Qing Zhang & Azhar Abbas, 2023. "Policy Impacts of High-Standard Farmland Construction on Agricultural Sustainability: Total Factor Productivity-Based Analysis," Land, MDPI, vol. 12(2), pages 1-13, January.
    16. Wei, Fangqing & Yuan, Chenxi & Song, Jiayun & Peng, Fei & Han, Longyan, 2025. "Carbon productivity: Reexamining the quality of economic growth in China with fixed-sum CO2 emission constraint," Energy Economics, Elsevier, vol. 144(C).
    17. Si Wu & Minhao Fan & Lei Wu & Zaiqi Liu & Yuchen Xiang, 2024. "Path to Green Development: How Do ESG Ratings Affect Green Total Factor Productivity?," Sustainability, MDPI, vol. 16(23), pages 1-19, December.
    18. Ruomei Xu & Yanrui Wu & Chen Chen, 2022. "Agricultural green efficiency and productivity incorporating waste recycling," Australian Economic Papers, Wiley Blackwell, vol. 61(3), pages 635-660, September.
    19. Xinfei Li & Chang Xu & Baodong Cheng & Jingyang Duan & Yueming Li, 2021. "Does Environmental Regulation Improve the Green Total Factor Productivity of Chinese Cities? A Threshold Effect Analysis Based on the Economic Development Level," IJERPH, MDPI, vol. 18(9), pages 1-21, April.
    20. Junwei Zhao & Yuxiang Zhang & Anhang Chen & Huiqin Zhang, 2022. "Analysis on the Spatio-Temporal Evolution Characteristics of the Impact of China’s Digitalization Process on Green Total Factor Productivity," IJERPH, MDPI, vol. 19(22), pages 1-21, November.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:jknowl:v:16:y:2025:i:2:d:10.1007_s13132-024-02272-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.