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Spatiotemporal distribution and dynamic evolution of grain productivity efficiency in the Yellow River Basin of China

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Abstract

With contraction of agricultural resources and deterioration of ecological environment, grain production has faced a series challenges. Therefore, figuring out grain production efficiency (GPE) has significance to green and sustainable development of grain production. We constructed the global epsilon-based measure (EBM) model to estimate GPE of 100 prefecture-level cities in the Yellow River Basin (YRB) from 2000 to 2020. Further, we studied dynamic evolution of GPE in the YRB by utilizing the dynamic distribution method. The following results were revealed. First, aggregate level of GPE in the YRB was low, with an average value of 0.429, but showed a growing tendency in general. Second, the GPE in downstream was higher than that in upstream and midstream. The GPE in each region showed an increasing trend with fluctuation over time. Third, the GPE in the YRB tended to converge to a medium–high level. Compared with the high-efficiency cities, the distribution mobility was strong cities with high GPE possessed strong distribution mobility. By comparison, the low-efficiency cities had the phenomenon of “poverty trap”, the vicious circle of low-level GPE was difficult to break. Under the background of promoting agricultural green development comprehensively, constructing GPE model considering non-point source pollution has important and practical meaning for solving problem of current agricultural pollution and guaranteeing food security. Meanwhile, analysis of spatial distribution, trends of distribution, and evolution of GPE can also provide regional experience reference for government to ensure coordinated development of grain production and ecological environment.

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References:

  • Avkiran, N. K., Tone, K., & Tsutsui, M. (2008). Bridging radial and non-radial measures of efficiency in DEA. Annals of Operations Research, 164(1), 127–138. https://doi.org/10.1007/s10479-008-0356-8

    Article  Google Scholar 

  • Chen, L., Chang, J. X., Wang, Y. M., et al. (2021a). Disclosing the future food security risk of China based on crop production and water scarcity under diverse socioeconomic and climate scenarios. Science of the Total Environment, 790, 148110. https://doi.org/10.1016/j.scitotenv.2021.148110

    Article  CAS  Google Scholar 

  • Chen, M. P., Chen, J. N., & Lai, S. Y. (2006). Inventory analysis and spatial distribution of Chinese agricultural and rural pollution. China Environment Science, 6, 751–755.

    Google Scholar 

  • Chen, Y., Chen, X. W., Zheng, P., et al. (2022). Value compensation of net carbon sequestration alleviates the trend of abandoned farmland: A quantification of paddy field system in China based on perspectives of grain security and carbon neutrality. Ecological Indicators, 138, 108815. https://doi.org/10.1016/j.ecolind.2022.108815

    Article  CAS  Google Scholar 

  • Chen, Y. F., Wang, J. Y., Zhang, F. R., et al. (2021b). New patterns of globalization and food security. Journal of Natural Resources, 36(6), 1362–1380.

    Article  Google Scholar 

  • Cheng, S. K., Li, Y. Y., Liu, X. J., et al. (2018). Thoughts on food security in China in the New Period. Journal of Natural Resources, 33(6), 911–926.

    Google Scholar 

  • Coelli, T. J., & Rao, D. (2005). Total factor productivity growth in agriculture: A Malmquist index analysis of 93 Countries, 1980-2000. Agricultural Economics, 32(1), 115–134. https://doi.org/10.1111/j.0169-5150.2004.00018.x

    Article  Google Scholar 

  • CPC Central Committee State Council. (2021). Outline of the plan for ecological protection and high-quality development of the Yellow River Basin. http://www.gov.cn/zhengce/2021-10/08/content_5641438.htm

  • Cui, D., Yu, Z. G., & Zhang, P. G. (2021). Does adoption of conservation tillage techniques help improve technical efficiency of grain production? A case study of corn. Journal of Agro-Forestry Economics and Management, 20(4), 458–467.

    Google Scholar 

  • El Mujtar, V., Muñoz, N., Mc Cormick, B. P., Pulleman, M., & Tittonell, P. (2019). Role and management of soil biodiversity for food security and nutrition; where do we stand? Global Food Security, 20, 132–144. https://doi.org/10.1016/j.gfs.2019.01.007

    Article  Google Scholar 

  • Getis, A., & Ord, J. K. (1992). The analysis of spatial association by use of distance statistics. Geographical Analysis, 24(3), 189–206.

    Article  Google Scholar 

  • Graftonr, Q., Williams, J., Perry, C. J., et al. (2018). The paradox of irrigation efficiency. Science, 361(6404), 748–750. https://doi.org/10.1126/science.aat9314

    Article  CAS  Google Scholar 

  • Huang, J., & Yang, G. (2017). Understanding recent challenges and new food policy in China. Global Food Security, 12, 119–126. https://doi.org/10.1016/j.gfs.2016.10.002

    Article  Google Scholar 

  • Huang, X. Y., Ren, X. N., Ma, T., et al. (2020). Comparative application of geo-detector and Tobit model in the analysis of grain production efficiency and its influencing factors in Western Guangdong. Journal of Agricultural Resources and Environment, 37(6), 818–828.

    Google Scholar 

  • Lai, S. Y., Du, P. F., & Chen, J. N. (2004). Evaluation of non-point source pollution based on unit analysis. Journal of Tsinghua University: Science and Technology, 44(9), 1184–1187.

    CAS  Google Scholar 

  • Lee, C. C., Zeng, M. L., & Luo, K. (2023). Food security and digital economy in China: A pathway towards sustainable development. Economic Analysis and Policy. https://doi.org/10.1016/j.eap.2023.05.003

    Article  Google Scholar 

  • Li, T., Long, H., Zhang, Y., et al. (2017). Analysis of the spatial mismatch of grain production and farmland resources in China based on the potential crop rotation system. Land Use Policy, 60, 26–36. https://doi.org/10.1016/j.landusepol.2016.10.013

    Article  CAS  Google Scholar 

  • Liu, C. M., Fan, G. Y., Mao, G. X., et al. (2023). Spatio-temporal variation and influencing factors of grain production efficiency in Huaihe Eco-Economic Belt in recent 20 years. Journal of Natural Resources, 38(3), 707–720.

    Article  Google Scholar 

  • Liu, F., Xiao, X. M., Qin, Y. W., et al. (2022). Large spatial variation and stagnation of cropland gross primary production increases the challenges of sustainable grain production and food security in China. Science of the Total Environment, 811, 151408. https://doi.org/10.1016/j.scitotenv.2021.151408

    Article  CAS  Google Scholar 

  • Liu, Y., Zhang, Z., & Zhou, Y. (2018). Efficiency of construction land allocation in China: An econometric analysis of panel data. Land Use Policy, 74, 261–272. https://doi.org/10.1016/j.landusepol.2017.03.030

    Article  Google Scholar 

  • Luo, W., Yang, X. Z., Yang, Y. F., et al. (2022). Co-evolution of water-energy-food in the Yellow River Basin and forecast of future development. Resource Science., 44(3), 608–619.

    Google Scholar 

  • Min, R., & Li, G. C. (2013). Grain’s production efficiency and its spatial distribution in China from the “two-oriented (resource and environment)” perspective. Economic Geography, 33(3), 144–149.

    Google Scholar 

  • Ministry of Ecology and Environment of the People’s Republic of China. (2010). Bulletin of the first national survey of pollution sources. https://www.mee.gov.cn/gkml/hbb/bgg/201002/t20100210_185698.htm

  • Pastor, J. T., & Lovell, C. A. K. (2005). A global Malmquist productivity index. Economics Letters, 88(2), 266–271. https://doi.org/10.1016/j.econlet.2005.02.013

    Article  Google Scholar 

  • Quah, D. (1993). Galton’s fallacy and tests of the convergence hypothesis. The Scandinavian Journal of Economics, 95(4), 427–443. https://doi.org/10.2307/3440905

    Article  Google Scholar 

  • She, W., Wu, Y., Huang, H., et al. (2017). Integrative analysis of carbon structure and carbon sink function for major crop production in China’s typical agriculture regions. Cleaner Production, 162, 702–708. https://doi.org/10.1016/j.jclepro.2017.05.108

    Article  CAS  Google Scholar 

  • Statistical Bulletin of National Economic and Social Development of the People's Republic in China. 2021. http://www.stats.gov.cn/tjsj/zxfb/202202/t20220227_1827960.html

  • Tian, H. Y., & Zhu, Z. Y. (2018). Analysis of grain production efficiency and its influencing factors in China: Based on DEA-Tobit two-step method. Chinese Journal of Agricultural Resources and Regional Planning, 39(12), 161–168.

    Google Scholar 

  • Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European Journal of Operational Research, 130(3), 498–509.

    Article  Google Scholar 

  • Tone, K., & Tsutsui, M. (2010). An epsilon-based measure of efficiency in DEA: A third pole of technical efficiency. European Journal of Operational Research., 207(3), 1554–1563. https://doi.org/10.1016/j.ejor.2010.07.014

    Article  Google Scholar 

  • UNICEF. (2014). The millennium development goals report 2015. Midwifery, 30, 1043–1044. https://www.un.org/es/desa/millennium-development-goals-report-2015

  • Wang, J., Zhang, Z., & Liu, Y. (2018). Spatial shifts in grain production increases in China and implications for food security. Land Use Policy, 74, 204–213. https://doi.org/10.1016/j.landusepol.2017.11.037

    Article  Google Scholar 

  • Wang, P., Deng, X. Z., & Jiang, S. J. (2019). Global warming, grain production and its efficiency: Case study of main grain production region. Ecological Indicators, 105, 563–570. https://doi.org/10.1016/j.ecolind.2018.05.022

    Article  CAS  Google Scholar 

  • Xu, H., Ma, B., & Gao, Q. (2021). Assessing the environmental efficiency of grain production and their spatial effects: Case study of major grain production areas in China. Frontiers in Environmental Science, 9, 774343. https://doi.org/10.3389/fenvs.2021.774343

    Article  Google Scholar 

  • Yang, L., & Xu, D. (2011). Research on regional differentiation of fiscal subsidy policies based on grain production efficiency. Economic Perspectives, 12, 81–84.

    Google Scholar 

  • Yang, Q., Si, X. H., & Wang, Y. (2022). Measurement and dynamic evolution of grain production efficiency in China under the target of emission reduction and increase in foreign exchange. Journal of Natural Resources, 37(3), 600–615.

    Article  Google Scholar 

  • Yu, P. L., Fennell, S., Chen, Y. Y., et al. (2022a). Positive impacts of farmland fragmentation on agricultural production efficiency in Qilu Lake watershed: Implications for appropriate scale management. Land Use Policy, 117, 106018. https://doi.org/10.1016/j.landusepol.2022.106108

    Article  Google Scholar 

  • Yu, Y. H., Wang, Y., Gong, D. W. (2023). Spatial–temporal evolution and influencing factors of grain production efficiency in Shandong Province, China. Journal of Agricultural Resources and Environment, 40, 728–738. https://doi.org/10.13254/j.jare.2022.0453

  • Zhang, H., & Guo, X. Y. (2021). The promotion effect of agricultural production producer services on agricultural total factor productivity: Regional differences and spatial effect. Journal of Agrotechnical Economics, 5, 93–107.

    Google Scholar 

  • Zhang, K., Yu, X. D., Liu, S. L., et al. (2022a). Wind power interval prediction based on hybrid semi-cloud model and nonparametric kernel density estimation. Energy Report, 8(4), 1068–1078. https://doi.org/10.1016/j.egyr.2022.02.094

    Article  Google Scholar 

  • Zhang, Q. N., Zhang, F. F., Mai, Q., et al. (2022b). Spatial spillover network and improvement path of grain production efficiency in China. Acta Geographica Sinica, 77(4), 996–1008.

    Google Scholar 

  • Zhang, Q., Zhang, F., Wu, G., et al. (2021). Spatial spillover effects of grain production efficiency in China: Measurement and scope. Journal of Cleaner Production, 278, 121062. https://doi.org/10.1016/j.jclepro.2020.121062

    Article  Google Scholar 

  • Zhao, L., Cao, N. G., Han, Z. L., & Gao, X. T. (2021). Spatial correlation network and influencing factors of green economic efficiency in China. Resource Science, 43(10), 1933–1946.

    Google Scholar 

  • Zhao, Y. Z., Jiang, Q. X., & Wang, Z. L. (2019). The system evaluation of grain production efficiency and analysis of driving factors in Heilongjiang province. Water, 11, 1073. https://doi.org/10.3390/w11051073

    Article  Google Scholar 

  • Zheng, D. F., An, Z. Y., Yan, C. L., et al. (2022). Spatial-temporal characteristics and influencing factors of food production efficiency based on WEF nexus in China. Journal of Cleaner Production, 330, 129921. https://doi.org/10.1016/j.jclepro.2021.129921

    Article  Google Scholar 

  • Zhou, Y. Q., & Nie, Y. K. (2022). Dynamic calculation and regional feature decomposition of green total factor productivity in China. Statistics & Decision, 38(20), 37–42.

    Google Scholar 

  • Zhuo, L., & Zeng, F. S. (2018). The impact of rural infrastructure on total factor productivity of grain. Agricultureal Technology of Economics, 11, 92–101.

    Google Scholar 

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Acknowledgements

This study was supported by the Programs of Special Scientific Research Fund of Forestry Public Welfare Profession of China (No. 201504424), National Natural Science Foundation of China (No. 71773091) and Postgraduate Research Innovation Project (No.JGYJSCXXM202308).

Funding

This study was funded by Postgraduate Research Innovation Project, JGYJSCXXM202308, Xiao Zhang, Programs of Special Scientific Research Fund of Forestry Public Welfare Profession of China, 201504424, Shunbo Yao, National Natural Science Foundation of China, 71773091, Shunbo Yao.

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Authors and Affiliations

  1. College of Economy and Management, Northwest A&F University, Yangling, 712100, China

    Xiao Zhang, Shuhui Sun & Shunbo Yao

  2. Center for Resource Economics and Environment Management, Northwest A&F University, Yangling, 712100, China

    Xiao Zhang, Shuhui Sun & Shunbo Yao

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  1. Xiao Zhang
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  2. Shuhui Sun
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XZ helped in investigation, formal analysis, visualization and writing—original draft. SS contributed to methodology, conceptualization and writing—review & editing. SY contributed to methodology and supervision.

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Correspondence to Shunbo Yao.

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Zhang, X., Sun, S. & Yao, S. Spatiotemporal distribution and dynamic evolution of grain productivity efficiency in the Yellow River Basin of China. Environ Dev Sustain 26, 12005–12030 (2024). https://doi.org/10.1007/s10668-023-03619-w

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