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Influential factors and classification of cultivated land fragmentation, and implications for future land consolidation: A case study of Jiangsu Province in eastern China

Author

Listed:
  • Liu, Jing
  • Jin, Xiaobin
  • Xu, Weiyi
  • Sun, Rui
  • Han, Bo
  • Yang, Xuhong
  • Gu, Zhengming
  • Xu, Cuilan
  • Sui, Xueyan
  • Zhou, Yinkang

Abstract

Cultivated land fragmentation (CLF) is one of the main obstacles hindering the development of agricultural modernization and mechanization. Systematically exploring the general distribution characteristics, influential factors and classification of CLF are of great significance for improving regional agricultural production capacity, promoting resource conservation and intensive use, and ensuring national food security, especially at the regional scale. In this study, we established a new conceptual index system using multivariable linear regression, geographical detectors, and magic cube model for CLF assessment as well as an analysis of the spatial differentiation characteristics, driving mechanism and management zoning trade-off of CLF in Jiangsu Province in eastern China based on multi-source data characterizing geographic, land-use and socio-economic information. The results showed that the connotation of CLF has spatial-scale characteristics due to the differences in functions positioning of cultivated land resources in macro-social security and micro-livelihood maintenance. At the national/regional scale, CLF mainly covers the natural (resource), spatial and utilization attributes of cultivated land. Based on this, the CLFI in Jiangsu presents a spatial pattern that gradually increases from north to south, with significant spatial differences. Besides, the CLFI within built-up areas is significantly higher than that outside built-up areas, and its fractal dimensions both within and outside the urban planning built-up areas show the spatial pattern of "spatial distribution > resource endowment > convenience of utilization". Furthermore, average plot size, the proportion of industry and service industry, gross domestic product, slope, grain output, and plot distance from town are the dominant factors driving the spatial differentiation of CLF, with the influence power (q) is 0.472, 0.204, 0.133, 0.129, 0.097 and 0.084, respectively. Location conditions and socio-economic activities have significant effects on the spatial differentiation of CLF within the built-up areas while highlighting the role of rural settlements outside urban built-up areas on CLF. Finally, we propose a two-level zoning system for diminishing the CLF and optimizing the utilization of cultivated land resources in Jiangsu based on influencing factors and fragmentation characteristics. The findings of this study will assist the government in developing appropriate regional context and land consolidation policies and coping strategies to CLF and food insecurity issues, and achieve sustainable development goals.

Suggested Citation

  • Liu, Jing & Jin, Xiaobin & Xu, Weiyi & Sun, Rui & Han, Bo & Yang, Xuhong & Gu, Zhengming & Xu, Cuilan & Sui, Xueyan & Zhou, Yinkang, 2019. "Influential factors and classification of cultivated land fragmentation, and implications for future land consolidation: A case study of Jiangsu Province in eastern China," Land Use Policy, Elsevier, vol. 88(C).
    • Handle: RePEc:eee:lauspo:v:88:y:2019:i:c:s0264837719306428
    DOI: 10.1016/j.landusepol.2019.104185
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    References listed on IDEAS

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    1. Bizimana, Claude & Nieuwoudt, W. Lieb & Ferrer, Stuart R.D., 2004. "Farm size, land fragmentation and economic efficiency in southern Rwanda," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 43(2), pages 1-19, June.
    2. Sichoongwe, Kiru, 2014. "Determinants and Extent of Crop Diversification Among Smallholder Farmers in Southern Zambia," Research Theses 243456, Collaborative Masters Program in Agricultural and Applied Economics.
    3. Ciaian, Pavel & Guri, Fatmir & Rajcaniova, Miroslava & Drabik, Dusan & Paloma, Sergio Gomez y, 2018. "Land fragmentation and production diversification: A case study from rural Albania," Land Use Policy, Elsevier, vol. 76(C), pages 589-599.
    4. Ntihinyurwa, Pierre Damien & de Vries, Walter Timo & Chigbu, Uchendu Eugene & Dukwiyimpuhwe, Patrick Acklam, 2019. "The positive impacts of farm land fragmentation in Rwanda," Land Use Policy, Elsevier, vol. 81(C), pages 565-581.
    5. Looga, J. & Jürgenson, E. & Sikk, K. & Matveev, E. & Maasikamäe, S., 2018. "Land fragmentation and other determinants of agricultural farm productivity: The case of Estonia," Land Use Policy, Elsevier, vol. 79(C), pages 285-292.
    6. Guang Wan & Enjiang Cheng, 2001. "Effects of land fragmentation and returns to scale in the Chinese farming sector," Applied Economics, Taylor & Francis Journals, vol. 33(2), pages 183-194.
    7. Qi, Xiaoxing & Dang, Heping, 2018. "Addressing the dual challenges of food security and environmental sustainability during rural livelihood transitions in China," Land Use Policy, Elsevier, vol. 77(C), pages 199-208.
    8. Liu, Yansui, 2018. "Introduction to land use and rural sustainability in China," Land Use Policy, Elsevier, vol. 74(C), pages 1-4.
    9. Zhou, Yang & Guo, Liying & Liu, Yansui, 2019. "Land consolidation boosting poverty alleviation in China: Theory and practice," Land Use Policy, Elsevier, vol. 82(C), pages 339-348.
    10. Du, Xindong & Zhang, Xiaoke & Jin, Xiaobin, 2018. "Assessing the effectiveness of land consolidation for improving agricultural productivity in China," Land Use Policy, Elsevier, vol. 70(C), pages 360-367.
    11. Gonzalez, X.P. & Marey, M.F. & Alvarez, C.J., 2007. "Evaluation of productive rural land patterns with joint regard to the size, shape and dispersion of plots," Agricultural Systems, Elsevier, vol. 92(1-3), pages 52-62, January.
    12. Cheng, Mingyang & Yansui Liu, & Zhou, Yang, 2019. "Measuring the symbiotic development of rural housing and industry: A case study of Fuping County in the Taihang Mountains in China," Land Use Policy, Elsevier, vol. 82(C), pages 307-316.
    13. Liu, Jing & Jin, Xiaobin & Xu, Weiyi & Fan, Yeting & Ren, Jie & Zhang, Xiaolin & Zhou, Yinkang, 2019. "Spatial coupling differentiation and development zoning trade-off of land space utilization efficiency in eastern China," Land Use Policy, Elsevier, vol. 85(C), pages 310-327.
    14. Mearns, Robin & Sinha, Saurabh, 1999. "Social exclusion and land administration in Orissa, India," Policy Research Working Paper Series 2124, The World Bank.
    15. Zang, Liangzhen & Araral, Eduardo & Wang, Yahua, 2019. "Effects of land fragmentation on the governance of the commons: Theory and evidence from 284 villages and 17 provinces in China," Land Use Policy, Elsevier, vol. 82(C), pages 518-527.
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