绿色矿业产融研协同共生的数理模型、系统机制与引导政策

Abstract
Figure/Table
References
Related Citation (3)

Download: PDF (1269 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Firstly,after economically & technologically analyzing the present situation of Chinese mine economic development,the paper finds that the evaluation of mining economic transformation and upgrading,by the traditional model of total factor productivity,cannot fully meet the requirement of green development,and it is necessary to expand Solow residual,and to absorb the technical innovation,management innovation and the development of green development idea.Secondly,the green total factor productivity model is designed and is proved reasonably the t-test according to the economic development of China's mining in 2007—2016.The result shows that the influence of the economic output by the three major factors,the labor,management and mineral resources,was positive,and the progress of science and technology positive impact on the economic product was obvious.According to the result,industry,finance and R&D,was should be integrated in green mining develop to be promote coordinately symbiosis.Thirdly,after analyzing the mechanism of industry-finance-research symbiotic coordination in green mining,it finds that accelerating the positive interaction among industry,finance and research is the major power of green mining system normal operation.Finally,the relevant policy suggestions are given,such as perfecting the green mining development policy system,creating and providing relevant green financial products and services for the economic transformation and upgrading of the mining industry,establishing the feedback mechanism of mine environment restoration and treatment,enhancing the driving force of scientific and technological innovation by policy incentives,and improving public supporting capacity building.

Key words： Green mining Green total factor productivity Industry-finance-research symbiotic coordination

Received: 22 February 2019

PACS:

F062.1

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	Zhou Bin

Cite this article:

Zhou Bin. Mathematical Model,Systemic Mechanism and Guiding Policy of Industry-Finance-Research Symbiotic Coordination in Green Mining[J]. , 2019, 0(11): 56-66.

URL:

http://www.zgkjlt.org.cn/EN/ OR http://www.zgkjlt.org.cn/EN/Y2019/V0/I11/56

[1] 郭娟,崔荣国,闫卫东,等.2018年中国矿产资源形势回顾与展望[J].中国矿业,2019,28(1):8-14.
[2]HILSON G M.Introduction to this special issue,improving environmental,economic and ethical performance in the mining industry[J].Journal of cleaner production,2006,14(3-4):225-226.
[3]PRINSLOO T F,OBERHOLZER M.A note:estimating the relationship between environmental performance and economic performanceof South African mining companies[J].South African journal of accounting research,2011,25(1):191-207.
[4]O′REGAN B,MOLES R.Using system dynamics to model the interaction between environmental and economic factors in the mining industry[J].Journal of cleaner production,2006,14(8):689-707.
[5]MAHESHI D,STEVEN V P,KAREL V A.Environmental and economic assessment of open waste dump mining in Sri Lanka[J].Resources conservation & recycling,2015,102:67-79.
[6]靳利飞,安翠娟.关于绿色矿山建设的优惠政策探讨[J].中国人口·资源与环境,2014,24(S2):349-351.
[7]李国政.“绿色矿业”的逻辑机理、实践探索与推进策略[J].西部论坛,2018,28(2):79-90.
[8]周灵.绿色矿业经济评价指标体系构建与实证[J].统计与决策,2018,34(20):68-70.
[9]郑先坤,朱易春,连军锋,等.新常态下江西省绿色矿山建设供给侧改革发展策略研究[J].中国人口·资源与环境,2018(S2):82-86.
[10]刘希宋,杨东奇.生产函数与技术进步测定[J].哈尔滨工程大学学报,2001,22(2):78-80.
[11]周卫民.全要素生产率理论的一种改进——基于中国管理投入视角下的研究[J].中国经济问题,2009(6):58-63.
[12]王荧,郭碧銮.全要素生产率测算方法解析[J].上海商学院学报,2010,11(5):85-91.
[13]阳国亮,何元庆.全要素生产率增长的度量方法[J].学术论坛,2005,173(6):87-90.
[14]钟世川,毛艳华.中国全要素生产率的再测算与分解研究——基于多要素技术进步偏向的视角[J].经济评论,2017(1):3-14.
[15]王志刚,龚六堂,陈玉宇.地区间生产效率与全要素生产率增长率分解(1978-2003)[J].中国社会科学,2006(2):55-66+206.
[16]程郁,陈雪.创新驱动的经济增长——高新区全要素生产率增长的分解[J].中国软科学,2013(11):26-39.
[17]李汝资,刘耀彬,王文刚,等.长江经济带城市绿色全要素生产率时空分异及区域问题识别[J].地理科学,2018,38(9):1475-1482.
[18]陈阳,唐晓华.制造业集聚和城市规模对城市绿色全要素生产率的协同效应研究[J].南方经济,2019(3):71-89.
[19]吕娜,朱立志.中国农业环境技术效率与绿色全要素生产率增长研究[J].农业技术经济,2019(4):95-103.
[20]SOLOW R M.Technical change and the aggregate production function[J].The review of economics and statistics,1957,39(3):312-320.
[21]李京文,钟学义.中国生产率分析前沿[M].北京:社会科学文献出版社,1998.
[22]易纲,樊纲,李岩.关于中国经济增长与全要素生产率的理论思考[J].经济研究,2003(8):13-20+90.
[23]熊俊.经济增长因素分析模型:对索洛模型的一个扩展[J].数量经济技术经济研究,2005(8):26-35.
[24]陈超凡.中国工业绿色全要素生产率及其影响因素——基于ML生产率指数及动态面板模型的实证研究[J].统计研究,2016,33(3):53-62.
[25]孙晓华,王昀.企业性质、研发效率与全要素生产率——基于中国工业企业微观数据的实证检验[J].大连理工大学学报(社会科学版),2014,35(1):35-41.