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贸易摩擦对城市绿色创新效率的影响研究:基于盈利质量分析的视角
Research on the impact of trade friction on the green innovation efficiency of cities:A study from the perspective of profit-quality analysis
在当前高度不确定的贸易摩擦环境下,城市要通过增强产业韧性来提升城市绿色创新效率。不仅关乎自身生存发展,也是维护国家经济安全和区域协同发展的中观基础。本文依据2004—2021年中国城市统计年鉴2085个县级城市面板数据,采用固定效应、中介效应和机制检验模型,实证检验贸易摩擦与城市绿色创新的关系。研究发现:(1)贸易摩擦对城市绿色创新效率具有促进作用;(2)机制分析发现城市产业韧性在贸易摩擦与城市绿色创新效率之间发挥部分中介作用,其中筹资能力作用最大,其次是经营能力和投资能力;(3)异质性分析表明东部城市、较大规模城市、数字化城市和较低储蓄水平城市,贸易摩擦对城市绿色创新效率正向促进作用更明显。结论拓展了城市绿色创新效率的前因研究,深化了对贸易摩擦性质和应对策略的认知,并为城市绿色转型提供了有益启示和经验证据。
Green innovation efficiency reduces resource consumption and environmental costs while achieving technological innovation. This approach integrates technological advancements with environmentally friendly practices, which is a crucial strategy for advancing urban economic development. Although trade frictions are known to positively influence environmental regulation within this context, the underlying mechanisms of their impact require further investigation. Based on the Porter Hypothesis and the Profit Quality Analysis Theory, this study employed a panel data set comprising 2085 county-level cities from the China City Statistical Yearbook, spanning from 2004 to 2021. A comprehensive research framework was established, and utilized the mediating effect analysis, difference-in-differences method, and group testing to explore the mechanisms and pathways through which trade frictions influence urban green innovation efficiency. The findings of the study were as follows: (1) Trade frictions positively enhance urban green innovation efficiency; (2) Industrial resilience acts as a partial mediator in the relationship between trade frictions and urban green innovation efficiency, with financing capacity being the most significant, followed by operational and investment capacities; and (3) The influence of trade frictions on urban green innovation efficiency is particularly noticeable in eastern cities, larger cities, digital cities, and cities with lower savings levels in China. Additionally, industrial resilience exhibits a "first-mover advantage" and a "spatial spillover" effect on urban green innovation efficiency. The research findings have not only broadened the scope of studies on the determinants of urban green innovation efficiency but also deepened the understanding of the nature of trade friction and coping strategies and they will provide practical inspiration to enhance the resilience of urban industries and promote the efficiency of urban green innovation.
贸易摩擦 / 城市绿色创新效率 / 城市产业韧性 / 波特假说 / 盈利质量分析
trade friction / green innovation efficiency of cities / industrial resilience of cities / Porter Hypothesis / profit-quality analysis
| [1] |
谷城, 张树山. 产业链韧性水平测度、区域差异及收敛性研究[J]. 经济问题探索, 2023(6):123-139.
|
| [2] |
周金凯. 美国对华贸易政治的实施策略分析:中美经贸摩擦视角[J]. 上海对外经贸大学学报, 2021, 28(3):49-59.
|
| [3] |
王韶华, 林小莹, 张伟, 等. 绿色信贷对中国工业绿色技术创新效率的影响研究[J]. 统计与信息论坛, 2023, 38(4):88-102.
|
| [4] |
宋晓玲, 李金叶. 产业协同集聚、制度环境与工业绿色创新效率[J]. 科技进步与对策, 2023, 40(4):56-65.
|
| [5] |
李丙金, 宋颖芳. 乡村“微旅游”产业韧性提升路径[J]. 社会科学家, 2023(3):57-63.
|
| [6] |
李根, 刘欣雨, 刘家国, 等. 产业协同集聚如何影响制造业绿色韧性?:基于突变级数与双固定动态空间杜宾模型的实证分析[J]. 中国管理科学, 2023, 31(12):249-260.
|
| [7] |
|
| [8] |
苏屹, 李丹. 能源产业集聚与绿色创新绩效的空间效应研究[J]. 科研管理, 2022, 43(6):94-103.
|
| [9] |
高峰, 吕雁琴, 陈静, 等. “智慧城市”试点的企业绿色技术创新效应研究[J]. 科研管理, 2023, 44(6):85-94.
|
| [10] |
|
| [11] |
|
| [12] |
杨盼盼, 徐奇渊, 张子旭. 中美经贸摩擦背景下越南的角色:中国对越南出口的分析视角[J]. 当代亚太, 2022(4):134-164+168.
|
| [13] |
From the perspective of the policy impact effect, this paper takes green enterprises as the treatment group and polluters as the control group. Firstly, the double difference method (DID) was adopted to study the effect of green credit policy on enterprises from two aspects, namely the amount of loans obtained by enterprises and the financing cost. The study found that in terms of loan volume, the launch of “Green Credit Guidelines” enabled green enterprises to obtain more credit resources than polluters. In terms of financing cost, green credit policy means green enterprises obtain lower financing cost than polluters. The triple difference method is further used to test the impact of green Credit Guidelines on the access to credit resources and financing costs of enterprises. The results show that for enterprises with different property rights, the effect of green credit policy on non-state-owned enterprises is more significant than that of state-owned enterprises. For enterprises in different regions, the policy effect of green credit policy on enterprises in regions with relatively backward economic development levels is more significant than that of enterprises in regions with relatively developed economic development level. From the empirical results, the policy basically realized the original intention of directing credit resources to green enterprises and realized the Pareto improvement of financial resource allocation.
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
王晗, 何枭吟. 产业集聚、环境规制与绿色创新效率[J]. 统计与决策, 2022, 38(22):184-188.
|
| [18] |
Previous studies have found that reverse technology spillover effects can promote industrial technology modernization in developing countries. However, it is still unknown whether reverse technology spillover effects can improve green innovation efficiency in developing countries. In particular, institutional uncertainties characteristic of transition economies have a significant impact on industrial modernization. Therefore, researching the impact of the institutional environment on the relationship between reverse technology spillover effects and green innovation efficiency is of great significance. In this paper, we use data from G20 countries as well as China’s foreign direct investment (FDI) data to measure the effects of reverse technology spillovers and adopt the threshold effect model to explore the relationship between reverse technology spillover effects and green innovation efficiency as well as the influence of the institutional environment on this relationship, based on China’s provincial panel data from 2003 to 2015. The empirical results show that the reverse technology spillover effects can effectively improve green innovation efficiency. There is a threshold for the influence of the institutional environment on the relationship between reverse technology spillover effects and green innovation efficiency. When the institutional development level surpasses the threshold value, an acceleration effect is generated. In addition, we find that the legal system is the key bottleneck in terms of improving green innovation efficiency. How to improve and perfect the path of institutional construction in China and how to enable institutions to gain threshold speed-up effects have become the major problems the Chinese government faces in institutional construction. The research results of this paper offer a reference to developing countries in regard to improving their institutions and enhancing their green innovation efficiency.
|
| [19] |
刘畅, 潘慧峰, 李珮, 等. 数字化转型对制造业企业绿色创新效率的影响和机制研究[J]. 中国软科学, 2023(4):121-129.
|
| [20] |
Green technology innovation is an important means to break out of the constraints of resources and the environment, enhance the competitiveness of enterprises, and achieve the upgrading of industrial structures, and promote high-quality economic growth. In order to realize the overall improvement of the green technology innovation capability of Chinese enterprises, it is necessary to measure the efficiency of industrial enterprises’ green technology innovation and explore their regional differences. In this paper, from the perspective of a two-stage innovation value chain, by introducing the industrial carbon emissions per unit of Gross Domestic Product (GDP) and the “three wastes” pollutants into the research framework of green technology innovation efficiency, we established a novel green innovation efficiency evaluation indicator system for industrial enterprises. Furthermore, we used a two-stage network DEA with shared input to measure the efficiency of regional enterprises’ green technology innovation and explored the regional differences in industrial enterprises’ green technology R&D and the efficiency of green technology achievement transformation. Finally, we provide some suggestions for improving China’s industrial enterprises’ green innovation efficiency, so that they can ameliorate the significant regional imbalances and differences and realize high-quality economic growth.
|
| [21] |
张伟, 李航宇, 张婷. 中国制造业产业链韧性测度及其时空分异特征[J]. 经济地理, 2023, 43(4):134-143.
文章从抵抗能力、恢复能力、演化能力和政府力量4个层面构建产业链韧性测度指标体系,并基于动态组合赋权—TOPSIS方法构建了产业链韧性测度模型。在此基础上,运用上市公司数据测度了2011—2020年中国总体以及东部、中部和西部地区14条制造业产业链的韧性水平,并采用Kernel密度估计、Dagum基尼系数分解法以及σ收敛法分析了制造业产业链韧性的空间差异以及演变规律。结果表明：①中国各制造业产业链的韧性水平、驱动因素和薄弱环节方面均存在差异,其中能源、交通运输设备制造以及金属制品产业链的韧性比较大,而纺织服装服饰、造纸及文教体育用品以及其他制造业产业链的韧性较小。②按照产业链韧性的时序变化可以将中国制造业产业链划分为波动向好型、波动回转型和波动下滑型3种类型,多数制造业产业链在稳定中向好发展。③中国制造业产业链韧性呈现明显的时空分异特征。东部、西部的制造业产业链韧性均有上升趋势,中部地区有下降趋势。制造业产业链韧性区域间差距有扩大趋势。为增强中国制造业产业链韧性,缓解地区差距,文章提出了固链、强链以及推动地区间协调发展的政策建议。
This paper constructs an index system for measuring the resilience of industrial chains from the four aspects which are resistance,recovery,evolution and government power,and builds a model for measuring the resilience of industrial chains based on the dynamic combination-TOPSIS method. On this basis,this paper measures the resilience of 14 manufacturing industry chains in China as a whole and in the eastern,central and western regions in 2011-2020 using data from listed companies,and analyzes the spatial differences and evolution patterns of the resilience of manufacturing industry chains using the methods of Kernel density estimation,Dagum Gini coefficient decomposition and <em>σ</em> convergence. The results show that: 1) there are differences in the resilience level,driving factors and weak links of each manufacturing industry chain in China,among which the resilience is relatively large in terms of the energy,transportation equipment manufacturing and metal products industry chains,while the resilience is smaller in terms of the textile,clothing and apparel,papermaking,education and sporting goods and other manufacturing industry chains. 2) According to the change of the resilience of the industry chains,China's manufacturing industry chains can be divided into three types: benign fluctuation type,fluctuation-reversion type and fluctuating decline type,while the development of most manufacturing industry chains belongs to the benign fluctuation type. 3) The toughness of China's manufacturing industry chains shows obvious spatial and temporal divergence. The toughness of manufacturing industry chains in the eastern and western regions both have an upward trend,while the central region has a downward trend. The gap between regions in the resilience of manufacturing industry chains has a tendency to expand. In order to enhance the resilience of China's manufacturing industry chain and alleviate the regional disparity,this paper puts forward policy suggestions for consolidating and strengthening the chain as well as promoting coordinated development among regions.
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
邓世成, 吴玉鸣, 东童童. 低碳城市试点政策对城市绿色创新效率的影响:来自长三角地区的经验证据[J]. 城市发展研究, 2023, 30(3):40-48+89.
|
| [26] |
|
| [27] |
陶锋, 王欣然, 徐扬, 等. 数字化转型、产业链供应链韧性与企业生产率[J]. 中国工业经济, 2023(5):118-136.
|
| [28] |
马永健, 漆腊应. 中美经贸摩擦的潜在经济效应及中国对策研究[J]. 国际商务(对外经济贸易大学学报), 2020(5):19-34.
|
| [29] |
|
| [30] |
郭爱君, 杨春林, 张永年, 等. 数字经济产业发展对城市绿色创新效率的影响:基于两阶段价值链视角的分析[J]. 城市问题, 2023(1):49-59.
|
| [31] |
吴鸣然, 黄卫东. 智慧城市建设对城市绿色创新效率的直接影响与扩散效应:基于173个城市的“准自然实验”[J]. 软科学, 2024, 38(3):29-36.
|
| [32] |
江英, 隋广军, 杨永聪. 自贸试验区建设助推产业链供应链韧性提升的机理及路径:以粤港澳大湾区为例[J]. 国际贸易, 2023(6):55-63.
|
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