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Analysis of Sustainable Efficiency and Total Factor Productivity of China's Mineral Resources

AN Qingxian1, ZHAO Jing1, DAI Bo2   

  1. 1. Business School, Central South University, Changsha 410083;
    2. School of Business Administration, Hunan Technology and Business University, Changsha 410205
  • Received:2021-07-13 Revised:2022-01-10 Online:2022-06-25 Published:2022-07-29

AN Qingxian, ZHAO Jing, DAI Bo. Analysis of Sustainable Efficiency and Total Factor Productivity of China's Mineral Resources[J]. Journal of Systems Science and Mathematical Sciences, 2022, 42(6): 1551-1565.

Sustainable use of mineral resources is an important part of sustainable development. Improving sustainable development capacity of mineral resources has important strategic significance for the development of China's national economy. This paper proposes an extended slacks-based measure (SBM) model, taking 31 provincial administrative regions as an example to evaluate the sustainable efficiency level of China's mineral resources from 2008 to 2017, and combining the global Malmquist-Luenberger index to evaluate China's sustainable total factor productivity. Analyzing from spatial heterogeneity and temporal trends, the conclusions are as follows:The average sustainable efficiency of my China's mineral resources has obvious spatial distribution characteristics, and national policies can obviously drive sustainable efficiency of mineral resources; From 2008 to 2017, the sustainable total factor productivity (TFP) of all provincial administrative regions has been improved, and most provincial administrative regions were technical and comprehensive, with less efficiency. Finally, based on the above conclusions, corresponding policy recommendations are put forward for improving the sustainable development capacity of China's mineral resources.

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[1] Brundtland G H, Khalid M, Agnelli S, et al.New York:Our Common Future, 1987.
[2] Imperatives S.Report of the world commission on environment and development:Our common future.Accessed Feb, 1987, 10:1-300.
[3] 孙新章.中国参与2030年可持续发展议程的战略思考.中国人口资源与环境, 2016, 26(1):1-7.(Sun X Z.Strategic thinking of China's participation in the 2030 agenda for sustainable development.China Population Resources and Environment, 2016, 26(1):1-7.)
[4] 中国共产党第十八届中央委员会第五次全体会议公报.新华社, 2015.(Public Announcement of the Fifth Plenum of the Eighteenth Central Committee of the Communist Party of China.Xinhua Press, 2015.)
[5] 王翔宇,王元慧,高培超,等."可持续社会指数"的研究综述与展望.地球科学进展, 2021, 36(3):317.(Wang X Y, Wang Y H, Gao P C, et al.Research review and prospect of "sustainable social index".Advances in Earth Science, 2021, 36(3):317.)
[6] 廖文梅,张广来,邱海兰,等.矿产资源安全视角下的城市可持续发展能力评价——以江西省11个地市为例.农林经济管理学报, 2016, 15(5):579-585.(Liao W M, Zhang G L, Qiu H L, et al.Evaluation of urban sustainable development capability from the perspective of mineral resources security-taking 11 cities in Jiangxi province as an example.Journal of Agro-Forestry Economics and Management, 2016, 15(5):579-585.)
[7] 缪钰.矿业城市可持续发展的生态哲学意蕴-评《矿业城市人地系统脆弱性-理论·方法·实证》.矿业研究与开发, 2020, 40(12):204.(Miao Y.The ecological philosophical implications of sustainable development of mining citiescomment on "the vulnerability of man-land systems in mining cities:Theory, method and empirical study".Mining Research and Development, 2020, 40(12):204.)
[8] 郑金鑫.我国矿产资源可持续发展探讨.中国矿业, 2012, 21(7):34-36.(Zheng J X.Discussion on sustainable development of mineral resources in my country.China Mining Magazine, 2012, 21(7):34-36.)
[9] 未来五年中国矿业的行动指南-解读"十四五"规划纲要中的含矿量.中华人民共和国自然资源部, 2021.(Action guidelines for China's mining industry in the next five years-Interpretation of mineral content in the outline of the Fourteenth Five-Year Plan.Ministry of Natural Resources of the People's Republic of China, 2021.)
[10] Tsaples G, Papathanasiou J.Data envelopment analysis and the concept of sustainability:A review and analysis of the literature.Renewable and Sustainable Energy Reviews, 2021, 138:110664.
[11] Charnes A, Cooper W W, Rhodes E.Measuring the efficiency of decision-making units.European Journal of Operational Research, 1979, 3(4):339-338.
[12] 魏权龄.数据包络分析.北京:科学出版社, 2004.(Wei Q L.Data Envelope Analysis.Beijing:Science Press, 2004.)
[13] 杨国梁.DEA模型与规模收益研究综述.中国管理科学, 2015,(S1):64-71.(Yang G L.Review of DEA model and returns to scale.Chinese Journal of Management Science, 2015,(S1):64-71.)
[14] 戴前智,黄西蒙,周思怡,等.考虑DEA要素相关性的我国区域工业水-能-环境效率评价研究.系统科学与数学, 2021, 41(8):2234-2251.(Dai Q Z, Huang X M, Zhou S Y, et al.Research on regional industrial water-energyenvironmental efficiency evaluation in my country considering the correlation of DEA elements.Journal of Systems Science and Mathematical Sciences, 2021, 41(8):2234-2251.)
[15] Zhou H, Yang Y, Chen Y, et al.Data envelopment analysis application in sustainability:The origins, development and future directions.European Journal of Operational Research, 2018, 264(1):1-16.
[16] Zhang X X, Sun D, Zhang X F, et al.Regional ecological efficiency and future sustainable development of marine ranch in China:An empirical research using DEA and system dynamics.Aquaculture, 2021, 534:736339.
[17] Liu X H, Ji X, Zhang D Q, et al.How public environmental concern affects the sustainable development of Chinese cities:An empirical study using extended DEA models.Journal of environmental management, 2019, 251:109619.
[18] Fang L, Yang J W.A financing perspective on DEA-based resource allocation and the aggregate profit inefficiency decomposition.Journal of the Operational Research Society, 2021, 72(2):320-341.
[19] 刘贯春,张军,丰超.金融体制改革与经济效率提升——来自省级面板数据的经验分析.管理世界, 2017,(6):9-22.(Liu G C, Zhang J, Feng C.Financial system reform and economic efficiency improvement-An empirical analysis from provincial panel data.Journal of Management World, 2017,(6):9-22.)
[20] Paradi J C, Schaffnit C.Commercial branch performance evaluation and results communication in a Canadian bank-A DEA application.European Journal of Operational Research, 2004, 156(3):719-735.
[21] Zha Y, Liang, L.Two-stage cooperation model with input freely distributed among the stages.European Journal of Operational Research, 2020, 205(2):332-338.
[22] Chen Y, Du J, Sherman H D, et al.DEA model with shared resources and efficiency decomposition.European Journal of Operational Research, 2010, 207(1):339-349.
[23] 余奕杉,卫平.中国城市绿色全要素生产率测度研究.生态经济, 2021, 3:43-52.(Yu Y S, Wei P.Research on the measurement of green total factor productivity in Chinese cities.Ecological Economy, 2021, 3:43-52.)
[24] Caves D W, Christensen L R, Diewert W E.The economic theory of index numbers and the measurement of input, output, and productivity.Econometrica:Journal of the Econometric Society, 1982, 50(6):1393-1414.
[25] Chung Y H, Färe R, Grosskopf S.Productivity and undesirable outputs:A directional distance function approach.Journal of Environmental Management, 1997, 51(3):229-240.
[26] Oh D.A global Malmquist-Luenberger productivity index.Journal of Productivity Analysis, 2010, 34(3):183-197.
[27] Arabi B, Munisamy S, Emrouznejad A.A new slacks-based measure of Malmquist-Luenberger index in the presence of undesirable outputs.Omega, 2015, 51:29-37.
[28] An Q X, Wu Q, Li J, et al.Environmental efficiency evaluation for Xiangjiang River basin cities based on an improved SBM model and Global Malmquist index.Energy Economics, 2019, 81:95-103.
[29] Tone K.A slacks-based measure of efficiency in data envelopment analysis.European Journal of Operational Research, 2001, 130(3):498-509.
[30] Färe R, Grosskopf S.Directional distance functions and slacks-based measures of efficiency.European Journal of Operational Research, 2010, 200(1):320-322.
[31] Tone K, Chang T S, Wu C H.Handling negative data in slacks-based measure data envelopment analysis models.European Journal of Operational Research, 2020, 282(3):926-935.
[32] Li Y, Chiu Y H, Lin T Y, et al.Market share and performance in Taiwanese banks:min/max SBM DEA.Top, 2019, 27(2):233-252.
[33] 都沁军,武建章,冯兰刚,等.基于逐次DEA的矿产资源开发效率评价.管理学报, 2015, 12(2):299-305.(Du Q J, Wu J Z, Feng L G, et al.Evaluation of mineral resources development efficiency based on successive DEA.Chinese Journal of Management, 2015, 12(2):299-305.)
[34] 宋科余,柳群义.基于超效率DEA模型的我国矿业非洲地区投资效率评价研究.中国矿业, 2020,(12):48-54.(Song K Y, Liu Q Y.Research on investment efficiency evaluation of my country's mining industry in Africa based on super-efficiency DEA model.China Mining Magazine, 2020,(12):48-54.)
[35] Lee H S.Slacks-based measures of efficiency and super-efficiency in presence of nonpositive data.Omega, 2021, 103:102395.
[36] Davtalab-Olyaie M, Mahmudi-Baram H, Asgharian M.Incentivizing units in centralized systems:A slacks-based approach.Journal of the Operational Research Society, 2021, DOI:10.1080/01605682.2021.1932620.
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