【作者】 刘欣；

【导师】 户艳领；

【作者基本信息】 河北大学 ， 统计学， 2024， 硕士

【摘要】 制造业是国家经济发展的重要支柱,推动制造业绿色转型升级在推动京津冀地区经济高质量增长的同时也可以更好地促进京津冀地区实现绿色协调可持续发展。但在推动制造业转型升级的过程中,容易产生一些诸如工业废物排放、资源利用率低下、生态环境遭到破坏以及区域创新不协调不充分等问题。因此,推动制造业绿色创新发展是实现制造业转型升级和生态协调可持续发展的必然要求。基于此背景,科学测度京津冀制造业绿色创新效率并探究其主要影响因素,不仅可以进一步掌握京津冀地区制造业的绿色创新发展现状,还能在确保制造业发展稳步提升的同时有效保护生态环境。这对于推动京津冀地区高质量发展具有不可忽视的重要性。本文从劳动、资金、能源、知识、经济和环境方面构建了测度制造业绿色创新效率的指标体系,对于部分产出变量采用熵值法进行综合。随后借助基于非期望产出的超效率SBM模型对2010-2022年京津冀制造业绿色创新效率进行测度,并利用GML及其分解指数进行动态分析,最后选用面板Tobit模型探究其主要影响因素。研究发现:(1)京津冀地区制造业绿色创新效率值总体较高且呈现出缓慢增长的态势,北京市和天津市对河北省制造业绿色创新发展具有促进作用。(2)京津冀13个城市制造业的绿色创新效率存在显著差异,呈现出“北高南低”的空间分布特征,绿色创新效率相对有效城市数量有所减少。(3)通过测算GML及其分解指数发现,京津冀制造业绿色创新效率提升显著,且相较于技术效率来说,京津冀制造业绿色创新效率的提高主要依赖于技术进步。(4)探究京津冀制造业绿色创新效率的影响因素时发现对外开放水平、城镇化水平和科技创新人员配置具有正向促进作用,而制造业规模、资源利用情况、区位条件以及建成区绿化覆盖率则具有一定的抑制作用。基于以上结论,本文从稳定开放优势、推动城镇化进程、加大科技人才培养、合理规划企业规模、优化资源利用等方面提出了有助于提升京津冀制造业绿色创新效率的对策建议。更多还原

【Abstract】 Manufacturing industry is an important pillar of national economic development.Promoting its green transformation and upgrading will contribute to high-quality development and green coordinated development.But during this process,some problems often arise,such as the increase in industrial waste emissions,low resource utilization rate,and damage to the ecological environment.Therefore,green and innovative development can achieve both the transformation and upgrading of manufacturing as well as ecological harmony and sustainable development.Based on this backdrop,scientifically measuring green innovation efficiency and exploring its main influencing factors can not only further grasp its current development status,but also effectively protect the ecological environment while ensuring the sustained and stable growth of the manufacturing industry.This is of great importance for promoting coordinated development and high-quality economic growth in the Beijing-Tianjin-Hebei region.This paper constructs measurement indicators for green innovation efficiency from the perspectives of labor,capital,resources,knowledge,economy,and environment,and adopts the entropy method to integrate some of the output variables.Subsequently,the green innovation efficiency of the manufacturing industry from 2010 to 2022 was measured using the superefficiency SBM model based on undesired outputs,and dynamic analysis was conducted using the GML and its decomposition index.Finally,the panel Tobit model was selected to explore its main influencing factors.It is found that(1)The overall efficiency of green innovation in the manufacturing industry in the studied region is relatively high and exhibits a trend of slow growth.Beijing and Tianjin have a promoting effect in Hebei Province.(2)There are significant regional differences in the green innovation efficiency of the manufacturing industry,which generally exhibits a pattern of "high in the north and low in the south," and the number of cities with relatively effective green innovation efficiency has decreased.(3)Through the calculation of the GML and its decomposition index,it was found that the efficiency value has significantly improved,and compared to technological efficiency,technological progress has a greater impact.(4)When exploring the influencing factors,it was found that the level of openness to the outside world,the level of urbanization,and the allocation of scientific and technological innovation personnel have a positive promoting effect,while the scale of the manufacturing industry,resource utilization,location conditions,and urban environment have a certain inhibitory effect.Based on the above conclusions,this paper proposes countermeasures and suggestions that can help improve the green innovation efficiency of manufacturing industry in Beijing-TianjinHebei from the aspects of stabilizing the advantages of openness,promoting the process of urbanization,increasing the cultivation of scientific and technological talents,rationally planning the scale of enterprises,and optimizing the use of resources.更多还原