IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v132y2023ics0264837723002764.html
   My bibliography  Save this article

Structural succession of land resources under the influence of different policies: A case study for Shanxi Province, China

Author

Listed:
  • Yu, Ziyue
  • Deng, Xiangzheng
  • Cheshmehzangi, Ali
  • Mangi, Eugenio

Abstract

The increased focus on land resources is a result of global climate change. For human life and progress, land resources provide a key foundation. Using land resources under sensible regulations can enable sustainable development in order to better adapt to climate change. In this study, we used the Malmquist index to compute the outcomes and spatial distribution of land use efficiency in Shanxi Province during 2006–2019. According to the findings, ecologically vulnerable areas have less efficient land use than areas with rapid economic growth. Therefore, to more effectively resolve the tensions between economic development and ecological conservation and to provide scientific guidance to decision makers, we need to model future land use in Shanxi Province driven by socio-economic systems. To predict future land use demand and its spatial distribution under the influence of socio-economic and government policies, this study combines the Computable General Equilibrium of Land Use Change (CGELUC) model and Dynamics of Land System (DLS) model. Under the green development scenario, the reduction rates of forest land and grassland are 2.09 % and 1.65 %, respectively, which is the slowest reduction of ecological land among the three scenarios. Development of ecological land such as forests and grasslands are severely prohibited by government regulations. The lowest carbon sequestration reduction rate of 1.62 % is registered in Shanxi Province under the green development scenario. Construction land increases more quickly under the economic priority development scenario, with a growth rate of 33.02 %. Ecological land, including grasslands and forests, is declining. Under the scenario of economic development priority, the ecological land in Shanxi Province will inevitably be sacrificed. Therefore, the government should strive to actively overcome barriers to the development of land resources for ecological protection as this is a key region for that purpose.

Suggested Citation

  • Yu, Ziyue & Deng, Xiangzheng & Cheshmehzangi, Ali & Mangi, Eugenio, 2023. "Structural succession of land resources under the influence of different policies: A case study for Shanxi Province, China," Land Use Policy, Elsevier, vol. 132(C).
  • Handle: RePEc:eee:lauspo:v:132:y:2023:i:c:s0264837723002764
    DOI: 10.1016/j.landusepol.2023.106810
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837723002764
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.landusepol.2023.106810?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Jing Wang & Liang Feng & Paul I. Palmer & Yi Liu & Shuangxi Fang & Hartmut Bösch & Christopher W. O’Dell & Xiaoping Tang & Dongxu Yang & Lixin Liu & ChaoZong Xia, 2020. "Large Chinese land carbon sink estimated from atmospheric carbon dioxide data," Nature, Nature, vol. 586(7831), pages 720-723, October.
    2. Ray, Subhash C & Desli, Evangelia, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment," American Economic Review, American Economic Association, vol. 87(5), pages 1033-1039, December.
    3. Brendan Mackey & I. Colin Prentice & Will Steffen & Joanna I. House & David Lindenmayer & Heather Keith & Sandra Berry, 2013. "Untangling the confusion around land carbon science and climate change mitigation policy," Nature Climate Change, Nature, vol. 3(6), pages 552-557, June.
    4. Campoy-Muñoz, P. & Cardenete, M.A. & Delgado, M.C., 2017. "Economic impact assessment of food waste reduction on European countries through social accounting matrices," Resources, Conservation & Recycling, Elsevier, vol. 122(C), pages 202-209.
    5. Jing Wang & Liang Feng & Paul I. Palmer & Yi Liu & Shuangxi Fang & Hartmut Bösch & Christopher W. O’Dell & Xiaoping Tang & Dongxu Yang & Lixin Liu & ChaoZong Xia, 2020. "Publisher Correction: Large Chinese land carbon sink estimated from atmospheric carbon dioxide data," Nature, Nature, vol. 588(7837), pages 19-19, December.
    6. Song, Malin & Zhu, Shuai & Wang, Jianlin & Zhao, Jiajia, 2020. "Share green growth: Regional evaluation of green output performance in China," International Journal of Production Economics, Elsevier, vol. 219(C), pages 152-163.
    7. Deng, Xiangzheng & Gibson, John, 2019. "Improving eco-efficiency for the sustainable agricultural production: A case study in Shandong, China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 394-400.
    8. Tim J. Coelli & D. S. Prasada Rao, 2005. "Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980–2000," Agricultural Economics, International Association of Agricultural Economists, vol. 32(s1), pages 115-134, January.
    9. Li, Huijuan & Long, Ruyin & Chen, Hong, 2013. "Economic transition policies in Chinese resource-based cities: An overview of government efforts," Energy Policy, Elsevier, vol. 55(C), pages 251-260.
    10. Guan, DongJie & Li, HaiFeng & Inohae, Takuro & Su, Weici & Nagaie, Tadashi & Hokao, Kazunori, 2011. "Modeling urban land use change by the integration of cellular automaton and Markov model," Ecological Modelling, Elsevier, vol. 222(20), pages 3761-3772.
    11. Lubowski, Ruben N. & Plantinga, Andrew J. & Stavins, Robert N., 2006. "Land-use change and carbon sinks: Econometric estimation of the carbon sequestration supply function," Journal of Environmental Economics and Management, Elsevier, vol. 51(2), pages 135-152, March.
    12. Brendan Mackey & I. Colin Prentice & Will Steffen & Joanna I. House & David Lindenmayer Heather Keith & Sandra Berry, 2013. "Erratum: Untangling the confusion around land carbon science and climate change mitigation policy," Nature Climate Change, Nature, vol. 3(9), pages 847-847, September.
    13. Brian O’Neill & Elmar Kriegler & Keywan Riahi & Kristie Ebi & Stephane Hallegatte & Timothy Carter & Ritu Mathur & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared socioeconomic pathways," Climatic Change, Springer, vol. 122(3), pages 387-400, February.
    14. Fangyuan Hua & Xiaoyang Wang & Xinlei Zheng & Brendan Fisher & Lin Wang & Jianguo Zhu & Ya Tang & Douglas W. Yu & David S. Wilcove, 2016. "Opportunities for biodiversity gains under the world’s largest reforestation programme," Nature Communications, Nature, vol. 7(1), pages 1-11, November.
    15. Song, Malin & Du, Juntao & Tan, Kim Hua, 2018. "Impact of fiscal decentralization on green total factor productivity," International Journal of Production Economics, Elsevier, vol. 205(C), pages 359-367.
    16. Bai, Yuping & Deng, Xiangzheng & Cheng, Yunfei & Hu, Yecui & Zhang, Lijin, 2021. "Exploring regional land use dynamics under shared socioeconomic pathways: A case study in Inner Mongolia, China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    17. Brian Walsh & Philippe Ciais & Ivan A. Janssens & Josep Peñuelas & Keywan Riahi & Felicjan Rydzak & Detlef P. van Vuuren & Michael Obersteiner, 2017. "Pathways for balancing CO2 emissions and sinks," Nature Communications, Nature, vol. 8(1), pages 1-12, April.
    18. Gao, Yuan & Wang, Jinman & Zhang, Min & Li, Sijia, 2021. "Measurement and prediction of land use conflict in an opencast mining area," Resources Policy, Elsevier, vol. 71(C).
    19. Elmar Kriegler & Jae Edmonds & Stéphane Hallegatte & Kristie Ebi & Tom Kram & Keywan Riahi & Harald Winkler & Detlef Vuuren, 2014. "A new scenario framework for climate change research: the concept of shared climate policy assumptions," Climatic Change, Springer, vol. 122(3), pages 401-414, February.
    20. He, Juan & Shi, Xueyi & Fu, Yangjun & Yuan, Ye, 2020. "Evaluation and simulation of the impact of land use change on ecosystem services trade-offs in ecological restoration areas, China," Land Use Policy, Elsevier, vol. 99(C).
    21. Xu, Zhigang & Xu, Jintao & Deng, Xiangzheng & Huang, Jikun & Uchida, Emi & Rozelle, Scott, 2006. "Grain for Green versus Grain: Conflict between Food Security and Conservation Set-Aside in China," World Development, Elsevier, vol. 34(1), pages 130-148, January.
    22. Jin, Gui & Chen, Kun & Wang, Pei & Guo, Baishu & Dong, Yin & Yang, Jun, 2019. "Trade-offs in land-use competition and sustainable land development in the North China Plain," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 36-46.
    23. Jing, Zhaorui & Wang, Jinman & Tang, Qian & Liu, Biao & Niu, Hebin, 2021. "Evolution of land use in coal-based cities based on the ecological niche theory: A case study in Shuozhou City, China," Resources Policy, Elsevier, vol. 74(C).
    24. Song, Malin & Ma, Xiaowei & Shang, Yuping & Zhao, Xin, 2020. "Influences of land resource assets on economic growth and fluctuation in China," Resources Policy, Elsevier, vol. 68(C).
    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. Wenwen Tang & Lihan Cui & Sheng Zheng & Wei Hu, 2022. "Multi-Scenario Simulation of Land Use Carbon Emissions from Energy Consumption in Shenzhen, China," Land, MDPI, vol. 11(10), pages 1-16, September.
    2. Yuping Bai & Zhe Zhao & Chuyao Weng & Wenxuan Wang & Yecui Hu, 2021. "Scenario-Based Analysis of Land Use Competition and Sustainable Land Development in Zhangye of the Heihe River Basin, China," IJERPH, MDPI, vol. 18(19), pages 1-20, October.
    3. Bai, Yuping & Deng, Xiangzheng & Cheng, Yunfei & Hu, Yecui & Zhang, Lijin, 2021. "Exploring regional land use dynamics under shared socioeconomic pathways: A case study in Inner Mongolia, China," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    4. Lanzi, Elisa & Dellink, Rob & Chateau, Jean, 2018. "The sectoral and regional economic consequences of outdoor air pollution to 2060," Energy Economics, Elsevier, vol. 71(C), pages 89-113.
    5. McManamay, Ryan A. & DeRolph, Christopher R. & Surendran-Nair, Sujithkumar & Allen-Dumas, Melissa, 2019. "Spatially explicit land-energy-water future scenarios for cities: Guiding infrastructure transitions for urban sustainability," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 880-900.
    6. Richard Taylor & Ruth Butterfield & Tiago Capela Lourenço & Adis Dzebo & Henrik Carlsen & Richard J. T. Klein, 2020. "Surveying perceptions and practices of high-end climate change," Climatic Change, Springer, vol. 161(1), pages 65-87, July.
    7. Roberto Roson & Richard Damania, 2016. "Simulating the Macroeconomic Impact of Future Water Scarcity: an Assessment of Alternative Scenarios," IEFE Working Papers 84, IEFE, Center for Research on Energy and Environmental Economics and Policy, Universita' Bocconi, Milano, Italy.
    8. Houyem Zrelli & Abdullah H. Alsharif & Iskander Tlili, 2020. "Malmquist Indexes of Productivity Change in Tunisian Manufacturing Industries," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
    9. Trutnevyte, Evelina & McDowall, Will & Tomei, Julia & Keppo, Ilkka, 2016. "Energy scenario choices: Insights from a retrospective review of UK energy futures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 326-337.
    10. Matteo Fontana & Massimo Tavoni & Simone Vantini, 2020. "Global Sensitivity and Domain-Selective Testing for Functional-Valued Responses: An Application to Climate Economy Models," Papers 2006.13850, arXiv.org, revised Jan 2024.
    11. Enrica De Cian & Ian Sue Wing, 2016. "Global Energy Demand in a Warming Climate," Working Papers 2016.16, Fondazione Eni Enrico Mattei.
    12. Tom Wilson & Irina Grossman & Monica Alexander & Phil Rees & Jeromey Temple, 2022. "Methods for Small Area Population Forecasts: State-of-the-Art and Research Needs," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 41(3), pages 865-898, June.
    13. Victor Nechifor & Matthew Winning, 2017. "The impacts of higher CO2 concentrations over global crop production and irrigation water requirements," EcoMod2017 10487, EcoMod.
    14. Dugan, Anna & Mayer, Jakob & Thaller, Annina & Bachner, Gabriel & Steininger, Karl W., 2022. "Developing policy packages for low-carbon passenger transport: A mixed methods analysis of trade-offs and synergies," Ecological Economics, Elsevier, vol. 193(C).
    15. Carl-Friedrich Schleussner & Joeri Rogelj & Michiel Schaeffer & Tabea Lissner & Rachel Licker & Erich M. Fischer & Reto Knutti & Anders Levermann & Katja Frieler & William Hare, 2016. "Science and policy characteristics of the Paris Agreement temperature goal," Nature Climate Change, Nature, vol. 6(9), pages 827-835, September.
    16. D. J. Rasmussen & Scott Kulp & Robert E. Kopp & Michael Oppenheimer & Benjamin H. Strauss, 2022. "Popular extreme sea level metrics can better communicate impacts," Climatic Change, Springer, vol. 170(3), pages 1-17, February.
    17. Shiva Zargar & Yuan Yao & Qingshi Tu, 2022. "A review of inventory modeling methods for missing data in life cycle assessment," Journal of Industrial Ecology, Yale University, vol. 26(5), pages 1676-1689, October.
    18. Liu, Shilei & Xia, Jun, 2021. "Forest harvesting restriction and forest restoration in China," Forest Policy and Economics, Elsevier, vol. 129(C).
    19. Hongliang Zhang & Jianhong E. Mu & Bruce A. McCarl & Jialing Yu, 2022. "The impact of climate change on global energy use," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(1), pages 1-19, January.
    20. Francesco Lamperti & Valentina Bosetti & Andrea Roventini & Massimo Tavoni, 2019. "The public costs of climate-induced financial instability," Nature Climate Change, Nature, vol. 9(11), pages 829-833, November.

    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:eee:lauspo:v:132:y:2023:i:c:s0264837723002764. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.