全球价值链嵌入对我国制造业碳排放效率影响研究

作者	朱蕾
姓名汉语拼音	Zhu Lei
学号	2020000002060
培养单位	兰州财经大学
电话	17853316046
电子邮件	1070823683@qq.com
入学年份	2020-9
学位类别	学术硕士
培养级别	硕士研究生
学科门类	经济学
一级学科名称	理论经济学
学科方向	世界经济
学科代码	020105
第一导师姓名	张璐
第一导师姓名汉语拼音	Zhang Lu
第一导师单位	兰州财经大学
第一导师职称	教授
题名	全球价值链嵌入对我国制造业碳排放效率影响研究
英文题名	Study on the Impact of Global Value Chain Embedding on Carbon Emission Efficiency of China's Manufacturing Industry
关键词	全球价值链碳排放效率超效率 SBM 模型 Tobit 模型
外文关键词	Global value chain ; Carbon emission efficiency ; Super efficiency SBM model ; Tobit model
摘要	国际贸易体系的深化使全球价值链延伸到产品生产链的许多环节，全球价值链越来越多地参与到中国的经济发展中，由此带来的资源消耗和环境破坏也亟待关注。碳排放特别是二氧化碳排放问题，涉及到全球经济、社会、生态和政治等多个领域，与碳排放相关的资源和环境问题也促使各国收紧碳排放政策。 2022 年，“双碳”目标第二次被列入政府工作报告，延续了上一次报告中强调的“先立后破”的碳减排方式，重点是双碳减排工作。《巴黎协定》为中国 2030 年实现碳排放总量（碳峰值）和碳强度（降低 60%）的减排目标做出了重大承诺。中国制造业的绿色转型关系到社会生态文明建设的核心，碳排放问题已经成为社会关注的焦点，碳排放效率综合考虑到经济和生态问题，逐渐成为衡量制造业碳排放的关键指标。目前我们正处于“双循环”的新历史格局下，融入全球价值链的国际贸易避免成为发达国家的“污染天堂”，一步步实现双碳目标，这是探索中国制造业绿色转型升级的必由之路。本文主要是研究全球价值链嵌入对我国制造业碳排放效率的影响。首先，通过比较国内外相关文献，提出本文的研究方法。其次，将 ADB 数据库中的制造业数据与各种统计年鉴的数据进行匹配，通过全球价值链地位指数来衡量全球价值链的嵌入程度。综合考虑到投入、期望产出和非期望产出之间的关系，通过 MAXDEA Ultra 软件利用超效率 SBM 模型测算中国各制造业的碳排放效率。最后，基于 2008-2020 年中国制造业的数据，用 Tobit 面板数据模型测算全球价值链嵌入指标对我国制造业碳排放效率影响，并得出以下结论： 1.中国全球价值链嵌入程度对制造业碳排放效率有正向影响，说明嵌入全球价值链的越高，制造业的碳排放效率越高。除企业规模外，所有控制变量都通过了显著性检验，其中能源消费结构对碳排放效率的影响显著为负，外商投资强度和环境法规的影响显著为正。企业规模对碳效率的影响是正的，但不显著。 2.中国制造业全球价值链嵌入对碳排放效率的影响在行业间具有异质性。制造业按照要素密集程度分为三类，全球价值链嵌入程度对三大类行业碳排放效率的影响各不相同。
英文摘要	The deepening of the international trading system has extended global value chains to many links in the production chain of products. Global value chains are increasingly involved in China's economic development, and the resulting resource consumption and environmental damage require urgent attention. Carbon emissions, particularly carbon dioxide, cut across a wide range of global economic, social, ecological and political dimensions, and resource and environmental issues related to carbon emissions have also prompted countries to tighten their carbon policies. In 2022, the "double carbon" target was included in the government's jobs report for the second time, continuing the "first come, first served" approach highlighted in the previous report. The Paris Agreement makes major commitments to China's 2030 emissions reduction targets for total carbon emissions (peak carbon) and carbon intensity (reduction by 60%). The green transformation of China's manufacturing industry is related to the core of social and ecological civilization. Carbon emission efficiency has become the focus of social attention. At present, we are in a new historical pattern of "double cycle". International trade integrated into global value chains should avoid becoming a "pollution paradise" for developed countries, and realize the double carbon target step by step, which is the only way to explore the green transformation and upgrading of Chinese manufacturing. This paper mainly studies the impact of global value chain embedding on the carbon emission efficiency of China's manufacturing industry. First of all, by comparing the relevant literature at home and abroad, the research method of this paper is put forward. Secondly, manufacturing data from the ADB database are matched with data from various statistical yearbooks to measure the extent of GVC embedding through the GVC Status Index. Taking into account the relationship between inputs, expected and unintended outputs, the carbon efficiency of China's manufacturing industries was measured using the Super-Efficiency SBM model through the MAXDEA Ultra software. Finally, based on Chinese manufacturing data from 2008-2020, the Tobit panel data model was used to measure the impact of global value chain embedding indicators on China's manufacturing carbon efficiency, and the following conclusions were reached: 1. The degree of embedding in China's global value chain has a positive impact on the carbon efficiency of manufacturing, suggesting that the higher the embedding in the global value chain, the more efficient manufacturing is. All the control variables except enterprise size passed the significance test, among which the influence of energy consumption structure on carbon emission efficiency is negative, the influence of foreign investment intensity and environmental regulations is positive. The impact of business size on carbon efficiency is positive, but not significant. 2. The impact of global value chain embedding in Chinese manufacturing on carbon efficiency is heterogeneous across industries. Manufacturing is divided into three categories according to factor intensity, and the extent to which global value chains are embedded has a different impact on the carbon efficiency of the three main sectors.
学位类型	硕士
答辩日期	2023-05-21
学位授予地点	甘肃省兰州市
语种	中文
论文总页数	61
参考文献总数	60
馆藏号	0004809
保密级别	公开
中图分类号	F11-0/60
文献类型	学位论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/34506
专题	国际经济与贸易学院
推荐引用方式 GB/T 7714	朱蕾. 全球价值链嵌入对我国制造业碳排放效率影响研究[D]. 甘肃省兰州市. 兰州财经大学,2023.

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