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A Simulation-Based Study on the Coupling Coordination of Farmers’ Livelihood Efficiency and Land Use: A Pathway towards Promoting and Implementing the Rural Development and Rural Revitalization Strategy

Author

Listed:
  • Fang Su

    (School of Economics and Management, Northwest University, Xi’an 710127, China)

  • Jiangbo Chang

    (School of Economics and Management, Shaanxi University of Science and Technology, Xi’an 710021, China)

  • Haiyang Shang

    (School of Management, Northwest University of Political Science and Law, Xi’an 710122, China)

  • Shah Fahad

    (School of Management, Hainan University, Haikou 570228, China
    School of Economics and Management, Leshan Normal University, Leshan 614000, China)

Abstract

The interaction process between farmers’ livelihood and land use is a core link between the interaction and the coupling of the human–land system. It is a complex evolutionary process that involves several issues such as resource-intensive utilization and economic development. This study first constructs a dynamic model of the coupling system of farmers’ livelihood efficiency and land use and designs two types of 31 scenarios based on the farmer’s livelihood mode and land use. This study further simulates the coupling coordination relationship in different scenarios and then proposes suggestions for sustainable development. The findings of our study show that with the development of time, the livelihood capital, livelihood output, and land use level first showed a decline and then an increase. The results also reveal that livelihood efficiency and coordination degree are related to the livelihood mode and land use mode of farmers, while the land use level is not significantly associated with the livelihood mode of farmers. Pure-agriculture farmers have the lowest livelihood efficiency and coordination degree when they have no planting and breeding poultry, while part-time farmers have the highest land use level and coordination degree when they plant cash crops and breeding livestock. Besides, non-agriculture farmers have the highest livelihood efficiency and the lowest land use level when they neither plant crops nor breed livestock. To improve the level of coupling coordination, it is necessary not only to flexibly adjust the farmer’s livelihood and land use mode but also to optimize the allocation of various resources to promote the coordinated and sustainable development of farmers.

Suggested Citation

  • Fang Su & Jiangbo Chang & Haiyang Shang & Shah Fahad, 2022. "A Simulation-Based Study on the Coupling Coordination of Farmers’ Livelihood Efficiency and Land Use: A Pathway towards Promoting and Implementing the Rural Development and Rural Revitalization Strate," Land, MDPI, vol. 12(1), pages 1-25, December.
  • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:124-:d:1021095
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    References listed on IDEAS

    as
    1. Fei, Rilong & Lin, Ziyi & Chunga, Joseph, 2021. "How land transfer affects agricultural land use efficiency: Evidence from China’s agricultural sector," Land Use Policy, Elsevier, vol. 103(C).
    2. Fang Su & Jiangbo Chang & Haiyang Shang, 2021. "Coupling Coordination Analysis of Livelihood Efficiency and Land Use for Households in Poverty-Alleviated Mountainous Areas," Land, MDPI, vol. 10(11), pages 1-28, October.
    3. Lanre Ibrahim, Ridwan & Bello Ajide, Kazeem & Usman, Muhammad & Kousar, Rakhshanda, 2022. "Heterogeneous effects of renewable energy and structural change on environmental pollution in Africa: Do natural resources and environmental technologies reduce pressure on the environment?," Renewable Energy, Elsevier, vol. 200(C), pages 244-256.
    4. Wei Liu & Jie Li & Linjing Ren & Jie Xu & Cong Li & Shuzhuo Li, 2020. "Exploring Livelihood Resilience and Its Impact on Livelihood Strategy in Rural China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 150(3), pages 977-998, August.
    5. Muhammad Kamran Khan & Muhammad Imran Khan & Muhammad Rehan, 2020. "The relationship between energy consumption, economic growth and carbon dioxide emissions in Pakistan," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-13, December.
    6. Dorina Nicoleta Mocuta & Adrian Turek Rahoveanu & Maria Magdalena Turek Rahoveanu & Adrian Gheorghe Zugravu & Ionica Soare & Mohamed H.Yacout & Mostafa Abdel Rahman Ibrahim, 2016. "The Influence of the Rural Sustainable Development on the Life Quality," Risk in Contemporary Economy, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, pages 538-544.
    7. Rudzani Vhuyelwani Angel Mudzielwana & Paramu Mafongoya & Maxwell Mudhara, 2022. "An Analysis of Livelihood-Diversification Strategies among Farmworker Households: A Case Study of the Tshiombo Irrigation Scheme, Vhembe District, South Africa," Agriculture, MDPI, vol. 12(11), pages 1-17, November.
    8. Haider, L. Jamila & Boonstra, Wiebren J. & Peterson, Garry D. & Schlüter, Maja, 2018. "Traps and Sustainable Development in Rural Areas: A Review," World Development, Elsevier, vol. 101(C), pages 311-321.
    9. repec:ddj:fserec:y:2016:p:538-538-544 is not listed on IDEAS
    10. Apergis, Nicholas & Payne, James E. & Menyah, Kojo & Wolde-Rufael, Yemane, 2010. "On the causal dynamics between emissions, nuclear energy, renewable energy, and economic growth," Ecological Economics, Elsevier, vol. 69(11), pages 2255-2260, September.
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