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Spatial Characteristics of the Non-Grain Production Rate of Cropland and Its Driving Factors in Major Grain-Producing Area: Evidence from Shandong Province, China

Author

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  • Liye Wang

    (School of Public Administration and Policy, Shandong University of Finance and Economics, Jinan 250014, China
    Institute of Land Science and Policy, Shandong University of Finance and Economics, Jinan 250014, China)

  • Jiwei Xu

    (School of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)

  • Yaolin Liu

    (School of Resource and Environmental Sciences, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
    Collaborative Innovation Center of Geospatial Information Technology, Wuhan University, 129 Luoyu Road, Wuhan 430079, China)

  • Siyu Zhang

    (School of Public Administration and Policy, Shandong University of Finance and Economics, Jinan 250014, China
    Institute of Land Science and Policy, Shandong University of Finance and Economics, Jinan 250014, China)

Abstract

The non-grain production rate (NGPR) of cropland is a grave threat to global grain and food supply, and has been a hot issue across the world. However, few scholars explored the impacts of the NGPRs of different cropland types, such as those of paddy land and irrigated land in the same region. Thus, according to the third land survey data, this research first estimated the NGPRs of cropland, paddy land, irrigated land, and dry land at different scales in Shandong Province, China in 2019. Then, their spatial characteristics at a county scale were identified by combining the standard deviation ellipse model and spatial autocorrelation analysis. Finally, the potential driving factors of the NGPR of cropland were explored with the geographical weight regression model. Results are as follows: (1) The NGPR of cropland is at relatively lower level in Shandong Province and is dominated by that of irrigated land, and the NGPR of dry land is higher than those of other cropland types; (2) Significant regional differences exist in the NGPR of cropland, with profound severity in the southeast and much lower in the northwest; (3) At the provincial scale, the total power of agricultural machinery per capita and utilization degree of cropland factors can relieve the NGPR of cropland in nearly the entire research area. The proportion of GDP of the primary industry in GDP, urban population rate, and DEM are the main obstacles for NGPR decrease. At the county scale, the influences of driving factors varied across regions. This research can provide targeted and regional differentiated references for policy improvement and NGPR management.

Suggested Citation

  • Liye Wang & Jiwei Xu & Yaolin Liu & Siyu Zhang, 2023. "Spatial Characteristics of the Non-Grain Production Rate of Cropland and Its Driving Factors in Major Grain-Producing Area: Evidence from Shandong Province, China," Land, MDPI, vol. 13(1), pages 1-22, December.
  • Handle: RePEc:gam:jlands:v:13:y:2023:i:1:p:22-:d:1305466
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    References listed on IDEAS

    as
    1. Su, Yue & Qian, Kui & Lin, Lin & Wang, Ke & Guan, Tao & Gan, Muye, 2020. "Identifying the driving forces of non-grain production expansion in rural China and its implications for policies on cultivated land protection," Land Use Policy, Elsevier, vol. 92(C).
    2. Suxia Zhao & Dongyang Xiao & Mengmeng Yin, 2023. "Spatiotemporal Patterns and Driving Factors of Non-Grain Cultivated Land in China’s Three Main Functional Grain Areas," Sustainability, MDPI, vol. 15(18), pages 1-17, September.
    3. Su, Dan & Cao, Yu & Wang, Jiayi & Fang, Xiaoqian & Wu, Qing, 2023. "Toward constructing an eco-account of cultivated land by quantifying the resources flow and eco-asset transfer in China," Land Use Policy, Elsevier, vol. 132(C).
    4. Zhou, Bing-Bing & Aggarwal, Rimjhim & Wu, Jianguo & Lv, Ligang, 2021. "Urbanization-associated farmland loss: A macro-micro comparative study in China," Land Use Policy, Elsevier, vol. 101(C).
    5. Luc Anselin, 2019. "Quantile local spatial autocorrelation," Letters in Spatial and Resource Sciences, Springer, vol. 12(2), pages 155-166, August.
    6. Liu, Chao & Xu, Yueqing & Lu, Xinhai & Han, Jing, 2021. "Trade-offs and driving forces of land use functions in ecologically fragile areas of northern Hebei Province: Spatiotemporal analysis," Land Use Policy, Elsevier, vol. 104(C).
    7. Peng Cheng & Houtian Tang & Yue Dong & Ke Liu & Ping Jiang & Yaolin Liu, 2021. "Knowledge Mapping of Research on Land Use Change and Food Security: A Visual Analysis Using CiteSpace and VOSviewer," IJERPH, MDPI, vol. 18(24), pages 1-22, December.
    8. Ariti, Adenew Taffa & van Vliet, Jasper & Verburg, Peter H., 2018. "Farmers’ participation in the development of land use policies for the Central Rift Valley of Ethiopia," Land Use Policy, Elsevier, vol. 71(C), pages 129-137.
    9. Punzo, Gennaro & Castellano, Rosalia & Bruno, Emma, 2022. "Using geographically weighted regressions to explore spatial heterogeneity of land use influencing factors in Campania (Southern Italy)," Land Use Policy, Elsevier, vol. 112(C).
    10. Schild, Johanna E.M. & Vermaat, Jan E. & de Groot, Rudolf S. & Quatrini, Simone & van Bodegom, Peter M., 2018. "A global meta-analysis on the monetary valuation of dryland ecosystem services: The role of socio-economic, environmental and methodological indicators," Ecosystem Services, Elsevier, vol. 32(PA), pages 78-89.
    11. Duan Ran & Zhanlu Zhang & Yuhan Jing, 2022. "A Study on the Spatial–Temporal Evolution and Driving Factors of Non-Grain Production in China’s Major Grain-Producing Provinces," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
    12. Foldvary, Fred Emanuel & Minola, Luca Andrea, 2017. "The taxation of land value as the means towards optimal urban development and the extirpation of excessive economic inequality," Land Use Policy, Elsevier, vol. 69(C), pages 331-337.
    13. Calafat-Marzal, Consuelo & Sánchez-García, Mercedes & Gallego-Salguero, Aurea & Piñeiro, Veronica, 2023. "Drivers of winegrowers' decision on land use abandonment based on exploratory spatial data analysis and multilevel models," Land Use Policy, Elsevier, vol. 132(C).
    14. Wang, Jingyu & Wang, Zhen & Li, Keke & Li, Cai & Wen, Fang & Shi, Zhihua, 2023. "Factors affecting phase change in coupling coordination between population, crop yield, and soil erosion in China’s 281 cities," Land Use Policy, Elsevier, vol. 132(C).
    15. Ge, Dazhuan & Long, Hualou & Zhang, Yingnan & Ma, Li & Li, Tingting, 2018. "Farmland transition and its influences on grain production in China," Land Use Policy, Elsevier, vol. 70(C), pages 94-105.
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