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论文中文题名:

 双碳目标下煤炭企业绿色低碳发展动力机制研究    

姓名:

 张嘉茹    

学号:

 20202097036    

保密级别:

 公开    

论文语种:

 chi    

学科代码:

 120100    

学科名称:

 管理学 - 管理科学与工程(可授管理学、工学学位) - 管理科学与工程    

学生类型:

 硕士    

学位级别:

 管理学硕士    

学位年度:

 2023    

培养单位:

 西安科技大学    

院系:

 管理学院    

专业:

 管理科学与工程    

研究方向:

 矿业系统决策理论与方法    

第一导师姓名:

 王喜莲    

第一导师单位:

 西安科技大学    

论文提交日期:

 2023-06-15    

论文答辩日期:

 2023-06-03    

论文外文题名:

 Green and Low Carbon Development of Coal Enterprises under Carbon Peaking and Carbon Neutrality Goals Power Mechanism Research    

论文中文关键词:

 煤炭企业 ; 绿色低碳转型 ; 动力机制 ; 行为演化    

论文外文关键词:

 coal enterprises ; green low-carbon transformation ; dynamic mechanism ; behavioral evolution    

论文中文摘要:

在碳排放双控举措趋严和国家能源安全统筹保障背景下,煤炭企业作为高碳排放的基础能源企业,其绿色低碳转型是推动所有部门实现双碳目标的关键。碳排放约束可以倒逼煤炭企业绿色低碳转型,但存在动力不足、多主体利益交错等问题,单纯依赖宏观调控和环境保护政策,忽略煤炭企业内部和外部动力的培育,难以实现我国煤炭产业可持续发展。论文综合运用竞争优势理论、演化博弈模型及系统动力学仿真,基于动力要素和动力主体双视角,对双碳目标下煤炭企业绿色低碳发展动力机制展开研究。

首先,通过梳理相关文献提取煤炭企业绿色低碳发展的内部和外部动力,构建煤炭企业--煤炭企业两方演化博弈模型,并对其发展动力及组合作用进行模拟,研究发现:适度的内外部动力作用下煤炭企业两方博弈存在理想策略组合的情形;主导企业拉动、低碳收益、成本牵引等内部动力增加可以提升煤炭企业绿色低碳发展意愿;补贴、惩罚等外部动力的激励效果更大,政府监管起关键作用;动力组合与单一动力相比激励效果更显著。其次,建立中央政府--地方政府--煤炭企业三方静态演化博弈模型,运用系统动力学对模型进行仿真,结果显示静态监管下三方主体行为策略反复波动,不存在演化稳定策略,煤炭企业倾向短期改变污染行为或逃避监管;因此提出中央政府长期监管与地方政府动态环境规制来控制策略波动,并再次进行仿真模拟,结果表明以上两种监管机制可以有效地抑制策略波动性,理想的演化稳定策略为中央、地方政府实施双重“动态”治理,可实现低成本监管并助推煤炭企业低碳转型。最后,论文从多动力组合和多主体协同两个层面提出煤炭企业低碳发展动力提升策略,包括发挥企业规模优势、优化配置资源、培养绿色低碳战略意识,加强政府动态监管、企业跟进环境政策等。

通过以上研究,将助推我国煤炭企业低碳发展及双碳目标实现进程,也可为能源绿色低碳发展动力机制研究提供理论和方法上的支持。

论文外文摘要:

In the context of the tightening of the dual carbon emission control initiatives and the overall protection of national energy security, coal is a basic energy resource with high carbon emissions, and the green and low-carbon transformation of coal enterprises is the key to promote all sectors to achieve the dual carbon goal. Carbon emission constraints can force coal enterprises to green and low-carbon transformation, but there are problems such as insufficient motivation and interlocking interests of multiple subjects, and it is difficult to achieve sustainable development of China's coal industry by relying solely on macro-control and environmental protection policies and ignoring the cultivation of internal and external motivation of coal enterprises. The paper integrated the competitive advantage theory, evolutionary game model and system dynamics simulation, based on the dual perspectives of motivational factors and motivational subjects, investigated the motivational mechanism of green low-carbon development of coal enterprises under the dual carbon objectives, and the main research works and conclusions are as follows:

Firstly, the internal and external dynamics of green low-carbon development of coal enterprises were extracted by combing relevant literature, including market competition, low-carbon benefits, transformation costs, government promotion and other dynamics; the evolutionary game model of coal enterprises-coal enterprises on both sides is constructed, and the roles of key internal and external dynamics and their combinations are simulated, and the study find that: under the role of moderate internal and external dynamics, it is found that: there is an ideal combination of strategies for both sides of the game; the increase of internal dynamics such as pulling by leading enterprises, low-carbon benefits and cost traction can enhance coal enterprises' willingness to develop green and low-carbon; the incentive effect of external dynamics such as subsidies and penalties is greater, and government regulation plays a key role; the incentive effect of the combination of dynamics is more significant compared with that of single dynamics. Secondly, a static evolutionary game model of central government-local government-coal enterprises was established and simulated using system dynamics. The results show that the behavioral strategies of the three subjects fluctuate repeatedly under static regulation and there is no evolutionary stable strategy, and coal enterprises tend to change their polluting behavior in the short term or avoid regulation; therefore, long-term regulation by central government and dynamic environmental regulation by local government are proposed to control the strategy fluctuation. The results show that the above two regulatory mechanisms can effectively suppress the strategy volatility, and the ideal evolutionary stabilization strategy is a dual "dynamic" governance by central and local governments, which can achieve low-cost regulation and promote the low-carbon transformation of coal enterprises. Finally, the paper proposes strategies to enhance the low-carbon development of coal enterprises from two levels of multi-dynamic combination and multi-body synergy, including giving full play to the scale advantage of enterprises, optimizing the allocation of resources, cultivating the awareness of green and low-carbon strategies, strengthening the dynamic government regulation, following up the environmental policies of enterprises, and building a modern market system.

Through the above research, it will help China's coal enterprises to achieve low carbon development and dual carbon goals, and also provide theoretical and methodological support for the study of power mechanism.

参考文献:

[1] 严晓辉,杨芊,高丹,等.我国煤炭清洁高效转化发展研究[J].中国工程科学,2022,24(06):19-25.

[2] 牛克洪,牛天勇,刘名宇.基于创新趋势研判方法的煤炭产业发展走势研究[J].中国煤炭,2023,49(03):11-15.

[3] 董秋霞,董樊丽,耿涌,等.碳达峰碳中和背景下内蒙古绿色低碳发展的路径和对策建议[J].科学管理研究,2022,40(06):77-83.

[4] 陈艳莹,刘婧玲.政府补贴会让绿色认证机制更有效吗?——基于市场演化的视角[J].管理工程学报,2022,36(06):274-282.

[5] 李康玮,曾贤刚.煤炭资源型城市煤炭开发与生态系统服务协调发展演变及驱动机制——以淮南市为例[J].水土保持研究,2023,30(03):460-469.

[6] Urry, John.A low-carbon Economy and Society[J].Engineering Sciences,2013,20 (3):372-387.

[7] Rasmus K. Carbon lock-in, rebound effects and China at the limits of statism[J].Energy Policy,2012,51(6):939-945.

[8] Triebswetter, Ursula, and J. Wackerbauer. "Integrated environmental product innovation in the region of Munich and its impact on company competitiveness."[J].Journal of Cleaner Production 16.14(2008):1484-1493.

[9] Brunke J C, Johansson M, Thollander P. Empirical Investigation of Barriers and Drivers to the Adoption of Energy Conservation Measures, Energy Management Practices and Energy Services in the Swedish Iron and Steel Industry[J].Journal of Cleaner Production,2014,84(6):509-525.

[10] Oltra, Vanessa, and M. S. Jean. "Sectoral systems of environmental innovation: An application to the French automotive industry."[J].Technological Forecasting & Social Change 76.4(2009):567-583.

[11] Chen Y M J, Sheu J B. Pursuing extended producer responsibility in the context of EIPs by a hotelling model[J].Journal of Cleaner Production, 2013, 21 (57) :152-157.

[12] Yalabik B, Richard J. Customer, regulatory and competitive pressure as drivers of environmental innovation[J].International Journal of Production Economics, 2011,131(2):519-527.

[13] XIE S C. The driving forces of China's energy use from 1992 to 2010:An empirical study of input-output and structural decomposition analysis[J].Energy Policy, 2014, 73(10):401-415.

[14] ZHANG P, ZHANG L,TIAN X, et al. Urban energy transition in China:Insights from trends, socioeconomic drivers, and environmental impacts of Beijing[J].Energy Policy,2018,117(1):173-183.

[15] LIU Y, ZHOU Y, WU W. Assessing the impact of population, income and technology on energy consumption and industrial pollutant emissions in China[J].Applied Energy, 2015, 155:904-917.

[16] WANG Y, ZHAO T. Impacts of energy-related CO2emissions:Evidence from under developed, developing and highly developed regions in China[J].Ecological Indicators, 2015, 50:186-195.

[17] XIA H, FAN T, CHANG X. Emission reduction technology licensing and diffusion under command-and-control regulation[J].Environmental & amp; resource economics, 2017, 12 (5) :1-24.

[18] KAZEMI A, HOSSEINZADEH M. Policy analysis of greenhouse gases’ mitigation in Iran energy sector using system dynamics approach[J]. Environmental progress & amp; sustainable energy, 2016, 35 (4) :1221-1230.

[19] DUAN W, LI C, ZHANG P, et al. Game modeling and policy research on the system dynamics:based tripartite evolution for government environmental regulation[J].Cluster computing, 2016, 19 (4):1-14.

[20] Cao X. Policy and Regulatory Responses to Coal Mine Closure and Coal Resources Consolidation for Sustainability in Shanxi, China[J]. Journal of Cleaner Production, 2017, 145:199-208.

[21] Kesidou E, Demirel P. On the drivers of eco-innovations:Empirical evidence from the UK[J].Research Policy,2012,41(5): 862-870.

[22] Nguyen N B, Boruff B, Tonts M, et al. The Regulatory Framework and Minerals Development in Vietnam: An Assessment of Challenges and Reform[J]. Sustainability,2019,11(18).

[23] Cheng B, Dai H, Wang P, et al. Impacts of carbon trading scheme on air pollutant emissions in Guangdong Province of China[J].Energy for Sustainable Development,2015,27(8):174-185.

[24] 于立宏,王艳,陈家宜.考虑环境和代际负外部性的中国采矿业绿色全要素生产率[J].资源科学,2019,41(12):2155-2171.

[25] 吴超,杨树旺,唐鹏程,吴婷,付书科.中国重污染行业绿色创新效率提升模式构建[J].中国人口·资源与环境,2018,28(05):40-48.

[26] 张渝,王娟茹.主观规范对绿色技术创新行为的影响研究[J].软科学,2018,32(2):93-95.

[27] 来兴平,方贤威.“双碳”目标驱动西部煤炭分阶控碳减熵增效与协同发展路径[J].西安科技大学学报,2022,42(05):841-848.

[28] 张晨,曹雨清,胡梦.市场激励型环境规制对企业环保投资的影响——基于我国碳排放权交易机制的准自然实验[J].金融与经济,2021(11):4-13.

[29] 焦建玲,陈洁,李兰兰,李方一.碳减排奖惩机制下地方政府和企业行为演化博弈分析[J].中国管理科学,2017,25(10):140-150.

[30] 史竹琴,朱先奇,苏妮娜.科技型产业园区低碳转型的动态演化研究——基于利益相关者视角[J].软科学,2020,34(06):64-71

[31] 刘倩. 煤炭企业低碳化转型动力机制及发展模式研究[D].山东理工大学,2013

[32] 王玲玲,杨双萍,张济建.中国高碳产业的低碳转型动力测度[J].南京财经大学学报,2018(04):23-32.

[33] 黄雷,冉春红,阳晓君.低碳技术与产业发展集成的问题与动力因素分析[J].软科学,2017,31(04):31-36.

[34] 韩冰,孟凡生.我国装备制造企业低碳技术创新外部驱动机制分析[J].工业工程与管理,2018,23(03):42-49.

[35] 赵敏,赵国浩,张宝建.地方政府行为视角下资源型企业绿色责任动力机制研究[J].华东经济管理,2019,33(8):161-166

[36] 李力.低碳技术创新的国际比较和趋势分析[J].生态经济,2020,36(03):13-17.

[37] 丛威,郝亦纯.我国煤炭产能调控的系统动力学建模与政策模拟研究[J].中国能源,2014,36(03):29-34.

[38] 张玉韩,曾建鹰,崔荣国.中国煤炭产能时空格局演变及碳中和支撑政策研究[J].地域研究与开发,2022,41(06):1-6+13.

[39] 雷善玉,王焕冉,张淑慧.环保企业绿色技术创新的动力机制——基于扎根理论的探索研究[J].管理案例研究与评论,2014,7(04):283-296.

[40] 邓宗兵,宗树伟,苏聪文,陈钲.长江经济带生态文明建设与新型城镇化耦合协调发展及动力因素研究[J].经济地理,2019,39(10):78-86.

[41] 杨双萍. 中国高碳产业低碳转型动力研究[D].江苏大学,2019.

[42] 吕永卫,霍丽娜.基于演化博弈的煤炭企业低碳减排路径分析[J].系统科学学报,2019,27(02):132-136.

[43] 邵利敏,高雅琪,王森.环境规制与资源型企业绿色行为选择:“倒逼转型”还是“规制俘获”[J].河海大学学报(哲学社会科学版), 2018,20(6):62-68+92-93.

[44] 孔繁晔.碳约束下煤炭企业协同创新永续合作模式的机制研究[J].技术经济与管理研究,2018(07):38-42.

[45] 陈晓红,王钰,李喜华.环境规制下区域间企业绿色技术转型策略演化稳定性研究[J].系统工程理论与实践,2021,41(07):1732-1749.

[46] 潘峰,西宝,王琳.基于演化博弈的地方政府环境规制策略分析[J].系统工程理论与实践,2015,35(06):1393-1404.

[47] 潘峰,西宝,王琳.环境规制中地方政府与中央政府的演化博弈分析[J].运筹与管理,2015,24(03):88-93+204.

[48] 张文彬,李国平.环境保护与经济发展的利益冲突分析基于各级政府博弈视角 [J].中国经济问题,2014(6):1625.

[49] 罗丹.策略博弈、约束性激励与规制“软化”——环境规制的悖论及其治理[J].北京理工大学学报(社会科学版),2021,23(05):43-53.

[50] 孙正林,卞晨,初钊鹏,王晗.政府监管视域下碳排放规制与企业低碳技术创新演化仿真研究[J].工业技术经济,2021,40(12):103-112.

[51] 傅沂,杨修进. 资源型产业集群演化机理研究——基于利益主体间演化博弈和仿真视角[J].中南大学学报(社会科学版),2016, 22(1):106-113.

[52] 常建伟,赵刘威,杜建国.企业环境行为的监管演化博弈分析和稳定性控制——基于系统动力学[J].系统工程,2017,35(10):79-87.

[53] 侯荡,梁志霞. 基于演化博弈的我国煤炭企业绿色开采动态监管策略研究[J].煤炭工程,2020,52(10):186-191.

[54] 赵淑英,程光辉.煤炭企业低碳技术创新动力的博弈分析及政策取向[J].学习与探索,2011(03):203-205.

[55] 陈璐怡,周蓉,钟文沁,王丹,周源,薛澜.绿色产业政策与重污染行业高质量发展[J].中国人口·资源与环境,2021,31(01):111-122.

[56] 陈芳,张坤.金属资源产业绿色低碳转型动力机制和政策仿真研究[J].生态经济,2020,36(06):68-72+187.

[57] 周朝波,覃云.碳排放交易试点政策促进了中国低碳经济转型吗?——基于双重差分模型的实证研究[J].软科学,2020,34(10):36-42+55.

[58] 陈真玲,王文举.环境税制下政府与污染企业演化博弈分析[J].管理评论,2017,29(05):226-236.

[59] 刘悦,周默涵.环境规制是否会妨碍企业竞争力:基于异质性企业的理论分析[J].世界经济,2018,41(4):152-169.

[60] 马光红,夏加蕾.环境规制背景下绿色产品技术创新多主体演化博弈分析[J].生态经济,2020,36(05):50-56+79.

[61] 董莉莉,范如国.政府低碳补贴的最优监管策略及其最优边界问题[J].中国人口·资源与环境,2021,31(08):13-22.

[62] 张晒.“绿色发展”的深层次逻辑与可行性路径—基于空间正义视角的探讨[J].北京理工大学学报(社会科学版),2017,19(01):28-34.

[63] 任相伟,孙丽文.绿色经济的内涵、演化逻辑及推进路径—基于经济—生态—社会复杂系统视角[J].技术经济与管理研究,2020(02):88-93.

[64] 付允,马永欢,刘怡君,牛文元.低碳经济的发展模式研究[J].中国人口·资源与环境,2008(03):14-19.

[65] 付加锋,庄贵阳,高庆先.低碳经济的概念辨识及评价指标体系构建[J].中国人口·资源与环境,2010,20(08):38-43.

[66] 王明喜,胡毅,郭冬梅,等.低碳经济:理论实证研究进展与展望[J].系统工程理论与实践,2017,37(01):17-34.

[67] 林伯强,吴微.中国现阶段经济发展中的煤炭需求[J].中国社会科学,2018(02):141-161+207-208.

[68] 谢志祥,秦耀辰,沈威,荣培君.中国低碳经济发展绩效评价及影响因素[J].经济地理,2017,37(03):1-9.

[69] 薛维忠.低碳经济、生态经济、循环经济和绿色经济的关系分析[J].科技创新与生产力,2011(02):50-52+60.

[70] 冯之浚,周荣.低碳经济:中国实现绿色发展的根本途径[J].中国人口·资源与环境,2010,20(04):1-7.

[71] 武汉大学国家发展战略研究院课题组.中国实施绿色低碳转型和实现碳中和目标的路径选择[J].中国软科学,2022(10):1-12.

[72] 赵国浩.煤炭资源优化配置理论与政策研究[M].北京:经济管理出版社.2010:186-189.

[73] Zhao Y, Zang L, Li Z, et al. Discussion on the model of mining circular economy[J]. Energy Procedia, 2012, 16: 438-443.

[74] 刘琳琳.基于循环经济的煤炭企业低碳发展的途径探析[J].中国煤炭,2014,40(04):35-38.

[75] 杨双萍.中国高碳产业低碳转型动力研究[D].江苏大学,2019.

[76] 焦嶕,赵国浩.煤炭企业绿色低碳发展战略选择研究——基于层次分析法[J].华东经济管理,2019,33(05):168-176.

[77] 贾县民.煤炭企业绿色低碳化影响机理及提升路径研究[D].西安建筑科技大学,2018.

[78] 兰君.中国煤炭企业转型升级与空间布局优化研究[D].中国地质大学(北京),2019.

[79] Sterman J D. Business dynamics: Systems thinking and modeling for a complex world[M]. Beijing: Tsinghua University Press, 2008.

[80] 申亮, 王玉燕.公共服务外包中的协作机制研究:一个演化博弈分析[J].管理评论, 2017, 29(03):219-230.

[81] 王强,刘海英.煤炭中长期合同“压舱石”作用的机制研究——兼析煤炭中长期合同签订与履约及其影响因素[J].价格理论与实践,2022(11):84-87.

[82] 许悦,常宁京.化石能源价格与碳交易价格关系:长期均衡与短期波动研究——来自上海碳排放权交易试点的证据[J].价格理论与实践,2023(01):184-187+204.

中图分类号:

 F426.21    

开放日期:

 2023-06-15    

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