IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v38y2013i4p448-457.html
   My bibliography  Save this article

Economic and social effects analysis of mineral development in China and policy implications

Author

Listed:
  • Lei, Yalin
  • Cui, Na
  • Pan, Dongyang

Abstract

Mineral development has contributed greatly to China's economic and social development. Many challenges remain, however, including environmental pollution and resource waste in practice, as well as a dearth of systematic theoretical research. The goal of this study is to analyze the economic and social effects of various mineral developments in China from diversified perspectives, so as to provide the basis for the formulation of China's mineral development policy. The input–output effects, industrial linkage effects and income distribution effects of different mining industries are quantitatively analyzed by adopting basic hypotheses of input–output economics, industrial linkage model and income distribution antitheses based on the latest available official data from China Statistical Yearbook from 2004 to 2010 and the 2007 Input–Output Table of China. The empirical results obtained in this study indicate that all mineral development industries, especially coal mining and washing, and petroleum and natural gas extraction industries, have given a strong impetus to the increase of China's fixed asset investment and GDP. Moreover, they have provided a large number of jobs, thereby alleviating ongoing employment pressure, and they have also played a positive role in promoting China's technology investment. The analysis of industrial linkages demonstrates that mining industries are basic to the national economy and produce a significant impetus to its downstream industries, but create weak pull effects in terms of national economic development. From the perspective of income distribution, mining industries play an important role in increasing China's fiscal revenue and per capital income. Hence, China's mineral development policy should (1) encourage additional investment in technology for exploration and development to insure sufficient supply and expand the input effects; (2) attract additional talent to work in remote regions; (3) optimize the industrial structure and promote the industrial transformation in resource regions; (4) adjust the interest distribution between the central and local governments to enable the local regions to become more self-sufficient; and (5) enhance the legal environment so that companies can more readily undertake their social responsibilities voluntarily.

Suggested Citation

  • Lei, Yalin & Cui, Na & Pan, Dongyang, 2013. "Economic and social effects analysis of mineral development in China and policy implications," Resources Policy, Elsevier, vol. 38(4), pages 448-457.
    • Handle: RePEc:eee:jrpoli:v:38:y:2013:i:4:p:448-457
    DOI: 10.1016/j.resourpol.2013.06.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420713000469
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2013.06.005?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. Jeffrey D. Sachs & Andrew M. Warner, 1995. "Natural Resource Abundance and Economic Growth," NBER Working Papers 5398, National Bureau of Economic Research, Inc.
    2. Sachs, Jeffrey D & Warner, Andrew M, 1997. "Fundamental Sources of Long-Run Growth," American Economic Review, American Economic Association, vol. 87(2), pages 184-188, May.
    3. Ning Ding & Barry C. Field, 2005. "Natural Resource Abundance and Economic Growths," Land Economics, University of Wisconsin Press, vol. 81(4).
    4. Wright, Gavin, 1990. "The Origins of American Industrial Success, 1879-1940," American Economic Review, American Economic Association, vol. 80(4), pages 651-668, September.
    5. Hajkowicz, Stefan A. & Heyenga, Sonja & Moffat, Kieren, 2011. "The relationship between mining and socio-economic well being in Australia's regions," Resources Policy, Elsevier, vol. 36(1), pages 30-38, March.
    6. Sachs, Jeffrey D. & Warner, Andrew M., 2001. "The curse of natural resources," European Economic Review, Elsevier, vol. 45(4-6), pages 827-838, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xiuyun Yang & Peter Ho, 2018. "Conflict over Mining in Rural China: A Comprehensive Survey of Intentions and Strategies for Environmental Activism," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    2. Wang, Xiaoxuan & Gao, Xiangyun & Wu, Tao & Sun, Xiaotian, 2022. "Dynamic multiscale analysis of causality among mining stock prices," Resources Policy, Elsevier, vol. 77(C).
    3. Rivera, Nilza & Guzmán, Juan Ignacio & Jara, José Joaquín & Lagos, Gustavo, 2021. "Evaluation of econometric models of secondary refined copper supply," Resources Policy, Elsevier, vol. 73(C).
    4. Chomba Kolala & Bridget Bwalya Umar, 2019. "National benefits, local costs? Local residents' views on environmental and social effects of large‐scale mining in Chingola, Zambia," Natural Resources Forum, Blackwell Publishing, vol. 43(4), pages 205-217, November.
    5. Hilmawan, Rian & Clark, Jeremy, 2019. "An investigation of the resource curse in Indonesia," Resources Policy, Elsevier, vol. 64(C).
    6. Li, Tianjiao & Wang, Anjian & Xing, Wanli & Li, Ying & Zhou, Yanjing, 2019. "Assessing mineral extraction and trade in China from 1992 to 2015: A comparison of material flow analysis and exergoecological approach," Resources Policy, Elsevier, vol. 63(C), pages 1-1.
    7. Xu, Xiaoliang & Xu, Xuefen & Chen, Qian & Che, Ying, 2015. "The impact on regional “resource curse” by coal resource tax reform in China—A dynamic CGE appraisal," Resources Policy, Elsevier, vol. 45(C), pages 277-289.
    8. Sun, Wei & Yao, Guohui, 2023. "Impact of mineral resource depletion on energy use: Role of energy extraction, CO2 intensity, and natural resource sustainability," Resources Policy, Elsevier, vol. 86(PB).
    9. Nilza Rivera & Juan Ignacio Guzmán, 2024. "Dynamic relationship between refined and scrap copper prices," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 37(2), pages 381-392, June.
    10. Jiang, Meihui & An, Haizhong & Guan, Qing & Sun, Xiaoqi, 2018. "Global embodied mineral flow between industrial sectors: A network perspective," Resources Policy, Elsevier, vol. 58(C), pages 192-201.
    11. An, Haizhong & Gao, Xiangyun & Fang, Wei & Ding, Yinghui & Zhong, Weiqiong, 2014. "Research on patterns in the fluctuation of the co-movement between crude oil futures and spot prices: A complex network approach," Applied Energy, Elsevier, vol. 136(C), pages 1067-1075.
    12. Li, Qian & Stoeckl, Natalie & King, David, 2019. "Using the life-satisfaction approach to quantify the complex inter-related impacts of coal mining on host communities: A case study in Shanxi, China," Resources Policy, Elsevier, vol. 62(C), pages 305-316.
    13. Wenjing Wu & Jinsheng Zhou & Jianying Niu & Haodong Lv, 2021. "Study on coupling between mineral resources exploitation and the mining ecological environment in Shanxi Province," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13261-13283, September.
    14. Li, Qian & Stoeckl, Natalie & King, David & Gyuris, Emma, 2017. "Exploring the impacts of coal mining on host communities in Shanxi, China – using subjective data," Resources Policy, Elsevier, vol. 53(C), pages 125-134.
    15. Ghassim, Babak & Foss, Lene, 2021. "Understanding the micro-foundations of internal capabilities for open innovation in the minerals industry: a holistic sustainability perspective," Resources Policy, Elsevier, vol. 74(C).
    16. Nath Swami & Singh Ranveer, 2020. "A study of the practices and processes and benefit sharing of limestone mining in the Banour-Shiva Mining Region in Himachal Pradesh, India," Environmental & Socio-economic Studies, Sciendo, vol. 8(1), pages 36-47, March.
    17. Lijun Wang & Haizhong An & Xiaohua Xia & Xiaojia Liu & Xiaoqi Sun & Xuan Huang, 2014. "Generating Moving Average Trading Rules on the Oil Futures Market with Genetic Algorithms," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-10, May.
    18. Wang, Shuang & Yang, Lihong, 2024. "Mineral resource extraction and resource sustainability: Policy initiatives for agriculture, economy, energy, and the environment," Resources Policy, Elsevier, vol. 89(C).
    19. Niu, Shuhua & Liu, Wenhe & Su, Ying-Yueh & Al-Abyadh, Mohammed Hasan Ali & Muda, Iskandar & Abdul-Samad, Zulkiflee, 2024. "Driving sustainable development: Role of institutional quality and future of China's mineral resource management projects," Resources Policy, Elsevier, vol. 95(C).
    20. Yang, Honglin & Wang, Lin & Tian, Lixin, 2015. "Evolution of competition in energy alternative pathway and the influence of energy policy on economic growth," Energy, Elsevier, vol. 88(C), pages 223-233.
    21. Du, Weihan & Wei, Yi & Naeem, Muhammad Abubakr, 2024. "Solid mineral development and Chinese economic growth: Role of technological advancement," Resources Policy, Elsevier, vol. 95(C).
    22. Wang, Jia & Zhang, Zilong, 2023. "Impact of renewable energy and agriculture on mineral resources rents: Do economic and environmental aspects matter," Resources Policy, Elsevier, vol. 87(PB).
    23. Li Li & Yalin Lei & Dongyang Pan, 2015. "Economic and environmental evaluation of coal production in China and policy implications," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 77(2), pages 1125-1141, June.
    24. Sarwar, Suleman & Aziz, Ghazala & Waheed, Rida & Morales, Lucía, 2024. "Forecasting the mineral resource rent through the inclusion of economy, environment and energy: Advanced machine learning and deep learning techniques," Resources Policy, Elsevier, vol. 90(C).

    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. Cheng Peng & Dianzhuang Feng & Hai Long, 2022. "Assessing the Contribution of Natural Gas Exploitation to the Local Economic Growth in China," Energies, MDPI, vol. 15(16), pages 1-17, August.
    2. Edward Barbier, 2010. "Corruption and the Political Economy of Resource-Based Development: A Comparison of Asia and Sub-Saharan Africa," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 46(4), pages 511-537, August.
    3. Lotfalipour, Mohammad Reza & sargolzaie, Ali & Salehnia, Narges, 2022. "Natural resources: A curse on welfare?," Resources Policy, Elsevier, vol. 79(C).
    4. Barbier,Edward B., 2007. "Natural Resources and Economic Development," Cambridge Books, Cambridge University Press, number 9780521706513.
    5. Guy Michaels, 2011. "The Long Term Consequences of Resource‐Based Specialisation," Economic Journal, Royal Economic Society, vol. 121(551), pages 31-57, March.
    6. Boschini, Anne & Pettersson, Jan & Roine, Jesper, 2013. "The Resource Curse and its Potential Reversal," World Development, Elsevier, vol. 43(C), pages 19-41.
    7. Satti, Saqlain Latif & Farooq, Abdul & Loganathan, Nanthakumar & Shahbaz, Muhammad, 2014. "Empirical evidence on the resource curse hypothesis in oil abundant economy," Economic Modelling, Elsevier, vol. 42(C), pages 421-429.
    8. Tiba, Sofien, 2019. "Modeling the nexus between resources abundance and economic growth: An overview from the PSTR model," Resources Policy, Elsevier, vol. 64(C).
    9. Elissaios Papyrakis & Reyer Gerlagh, 2005. "Natural Resources, Innovation, and Growth," DEGIT Conference Papers c010_054, DEGIT, Dynamics, Economic Growth, and International Trade.
    10. Lee, Chien-Chiang & He, Zhi-Wen, 2022. "Natural resources and green economic growth: An analysis based on heterogeneous growth paths," Resources Policy, Elsevier, vol. 79(C).
    11. Dogan, Eyup & Altinoz, Buket & Tzeremes, Panayiotis, 2020. "The analysis of ‘Financial Resource Curse’ hypothesis for developed countries: Evidence from asymmetric effects with quantile regression," Resources Policy, Elsevier, vol. 68(C).
    12. Nolazco Cama, Jose Luis & Bravo-Ortega, Claudio, 2015. "Instituciones, Recursos Naturales Y Sus Efectos En El Crecimiento Economico: Un Sistema De Ecuaciones Simultáneas En Panel De Datos [Institutions, Natural Resources And Its Impact On Economic Growt," MPRA Paper 74421, University Library of Munich, Germany.
    13. Ramez Abubakr Badeeb & Jeremy Clark & Abey P. Philip, 2021. "The Nonlinear Effects of Oil Rent Dependence on Malaysian Manufacturing: Implications from Structural Change using a Markov-Regime Switching Model," Working Papers in Economics 21/11, University of Canterbury, Department of Economics and Finance.
    14. Fan, Rui & Fang, Ying & Park, Sung Y., 2012. "Resource abundance and economic growth in China," China Economic Review, Elsevier, vol. 23(3), pages 704-719.
    15. Shao, Shuai & Yang, Lili, 2014. "Natural resource dependence, human capital accumulation, and economic growth: A combined explanation for the resource curse and the resource blessing," Energy Policy, Elsevier, vol. 74(C), pages 632-642.
    16. SHAO Shuai & QI Zhongying, 2009. "Energy exploitation and economic growth in Western China: An empirical analysis based on the resource curse hypothesis," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 4(1), pages 125-152, March.
    17. Catherine Norman, 2009. "Rule of Law and the Resource Curse: Abundance Versus Intensity," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 43(2), pages 183-207, June.
    18. Jiang, Chun & Zhang, Yadi & Kamran, Hafiz Waqas & Afshan, Sahar, 2021. "Understanding the dynamics of the resource curse and financial development in China? A novel evidence based on QARDL model," Resources Policy, Elsevier, vol. 72(C).
    19. Elissaios Papyrakis, 2004. "Natural Resources, Innovation, and Growth," Working Papers 2004.129, Fondazione Eni Enrico Mattei.
    20. Havranek, Tomas & Horvath, Roman & Zeynalov, Ayaz, 2016. "Natural Resources and Economic Growth: A Meta-Analysis," World Development, Elsevier, vol. 88(C), pages 134-151.

    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:jrpoli:v:38:y:2013:i:4:p:448-457. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    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.