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2024, 39(3): 4-19.
Abstract:
Intelligent transformation is the key driving force to promote the digital-real integration and accelerate the development of manufacturing innovation. Based on the data of listed manufacturing enterprises in Shanghai and Shenzhen A-share markets from 2015 to 2022, this paper investigates the direct impact of intelligent transformation on manufacturing innovation, the indirect regulation mechanism of economic policy uncertainty and the multi-dimensional heterogeneity from the perspective of innovation motivation through theoretical analysis and empirical testing. The findings indicate that intelligent transformation promotes corporate innovation and has a stronger role in fostering substantive innovation. This conclusion is maintained after a series of robustness tests. Intelligent transformation is further analyzed by dividing it into the breadth and the depth of intelligent transformation. In addition, it is found that the former has a facilitating effect while the latter has an inhibiting effect. The mechanism analysis reveals that economic policy uncertainty has a moderating effect between intelligent transformation and enterprise innovation, weakening the facilitating effect of intelligent transformation on enterprise innovation in general; however, it enhances the facilitating effect of intelligent transformation on substantive innovation for enterprises seeking long-term competitive advantage instead. The heterogeneity analysis shows that the promoting effect of intelligent transformation on innovation is more significant for sample enterprises with high-level human capital structure and state-owned equity structure in the decline stage of the life cycle. In conclusion, enterprises should focus on the future and create long-term competitive advantages with substantive innovation. The government should stabilize policy expectations and create a good environment for enterprise innovation. At the same time, both government and enterprises should reach out to each other, to promote in-depth development of intelligent transformation in manufacturing.
Intelligent transformation is the key driving force to promote the digital-real integration and accelerate the development of manufacturing innovation. Based on the data of listed manufacturing enterprises in Shanghai and Shenzhen A-share markets from 2015 to 2022, this paper investigates the direct impact of intelligent transformation on manufacturing innovation, the indirect regulation mechanism of economic policy uncertainty and the multi-dimensional heterogeneity from the perspective of innovation motivation through theoretical analysis and empirical testing. The findings indicate that intelligent transformation promotes corporate innovation and has a stronger role in fostering substantive innovation. This conclusion is maintained after a series of robustness tests. Intelligent transformation is further analyzed by dividing it into the breadth and the depth of intelligent transformation. In addition, it is found that the former has a facilitating effect while the latter has an inhibiting effect. The mechanism analysis reveals that economic policy uncertainty has a moderating effect between intelligent transformation and enterprise innovation, weakening the facilitating effect of intelligent transformation on enterprise innovation in general; however, it enhances the facilitating effect of intelligent transformation on substantive innovation for enterprises seeking long-term competitive advantage instead. The heterogeneity analysis shows that the promoting effect of intelligent transformation on innovation is more significant for sample enterprises with high-level human capital structure and state-owned equity structure in the decline stage of the life cycle. In conclusion, enterprises should focus on the future and create long-term competitive advantages with substantive innovation. The government should stabilize policy expectations and create a good environment for enterprise innovation. At the same time, both government and enterprises should reach out to each other, to promote in-depth development of intelligent transformation in manufacturing.
2024, 39(3): 20-34.
Abstract:
It is of great practical significance to scientifically assess the impact of developing intelligent logistics industry on economic resilience. Using the panel data of 286 cities in China from 2006 to 2021, this paper creates indicators of intelligent logistics industry and economic resilience to explore the influence and its mechanism of intelligent logistics industry on economic resilience. The results indicate that the development of intelligent logistics industry significantly improves economic resilience, which is highly robust. The mechanism test finds that the development of intelligent logistics industry enhances economic resilience mainly by reducing the risk of external disturbances, coordinating supply and demand, and energizing economic activities. Expanded analysis shows that the development of intelligent logistics industry helps to promote market integration and unlock market potential. The facilitating effect of intelligent logistics industry on economic resilience is stronger in regions with high-level market segmentation or low-level marketization. There is also a network effect on promoting economic resilience brought by the development of intelligent logistics industry. Such effect increases with stronger logistics network. Therefore, it is suggested to promote the in-depth integration between new-generation information technology and logistics technology, strengthen digital and transportation infrastructure, optimize the transportation structure, and improve the inter-regional logistics system, so as to better facilitate the circulation of national economy and enhance economic resilience.
It is of great practical significance to scientifically assess the impact of developing intelligent logistics industry on economic resilience. Using the panel data of 286 cities in China from 2006 to 2021, this paper creates indicators of intelligent logistics industry and economic resilience to explore the influence and its mechanism of intelligent logistics industry on economic resilience. The results indicate that the development of intelligent logistics industry significantly improves economic resilience, which is highly robust. The mechanism test finds that the development of intelligent logistics industry enhances economic resilience mainly by reducing the risk of external disturbances, coordinating supply and demand, and energizing economic activities. Expanded analysis shows that the development of intelligent logistics industry helps to promote market integration and unlock market potential. The facilitating effect of intelligent logistics industry on economic resilience is stronger in regions with high-level market segmentation or low-level marketization. There is also a network effect on promoting economic resilience brought by the development of intelligent logistics industry. Such effect increases with stronger logistics network. Therefore, it is suggested to promote the in-depth integration between new-generation information technology and logistics technology, strengthen digital and transportation infrastructure, optimize the transportation structure, and improve the inter-regional logistics system, so as to better facilitate the circulation of national economy and enhance economic resilience.
2024, 39(3): 35-51.
Abstract:
This study introduces an index to quantify climate policy uncertainty at the level of enterprise and analyzes its effects on the corporate asset-debt maturity mismatch among Chinese A-share listed companies from 2007 to 2022. The findings reveal that climate policy uncertainty intensifies the preference for short-term debt. The heterogeneity analysis indicates that this uncertainty undermines the corporate risk-taking abilities, debt management, and access to green finance. Nonetheless, the adverse effects are mitigated in regions with less intense competition and companies with stringent internal controls and transparent climate information disclosure. Besides amplifying the corporate asset-debt maturity mismatch, climate policy uncertainty also stifles high-quality growth and escalates stock price crash risk. This research contributes to understanding the complex interplay between climate policy uncertainty and corporate financial strategies, offering insights for harmonizing climate policies and financial lending policies in emerging markets.
This study introduces an index to quantify climate policy uncertainty at the level of enterprise and analyzes its effects on the corporate asset-debt maturity mismatch among Chinese A-share listed companies from 2007 to 2022. The findings reveal that climate policy uncertainty intensifies the preference for short-term debt. The heterogeneity analysis indicates that this uncertainty undermines the corporate risk-taking abilities, debt management, and access to green finance. Nonetheless, the adverse effects are mitigated in regions with less intense competition and companies with stringent internal controls and transparent climate information disclosure. Besides amplifying the corporate asset-debt maturity mismatch, climate policy uncertainty also stifles high-quality growth and escalates stock price crash risk. This research contributes to understanding the complex interplay between climate policy uncertainty and corporate financial strategies, offering insights for harmonizing climate policies and financial lending policies in emerging markets.
2024, 39(3): 52-65.
Abstract:
Whether "chain master" can give full play to their "leading goose" is of great significance for leading the collaborative development of enterprises in the chain and promoting the security level of the industrial chain and supply chain. Based on the data of A-share listed enterprises from 2009 to 2019, this research finds that the "chain master" can exert the "leading goose effect", which can drive enterprises in the chain to improve their total factor productivity through three ways: strengthening risk management, optimizing resource allocation, and improving the ability of technology innovation. Further analysis shows that such effect becomes more positive as leading-chain enterprises are in downstream industrial chain and supply chain with high-level digital transformation and competitive geographical proximity. The research not only deepens the understanding of the vertical industrial leadership ability of "chain leader" enterprises, but also responds to the relevant policy requirements of developing the industrial chain and supply chain empowered by new quality productive forces. It also provides certain academic references for improving security and modernization of the industrial chain and supply chain, facilitating the development of new quality productive forces.
Whether "chain master" can give full play to their "leading goose" is of great significance for leading the collaborative development of enterprises in the chain and promoting the security level of the industrial chain and supply chain. Based on the data of A-share listed enterprises from 2009 to 2019, this research finds that the "chain master" can exert the "leading goose effect", which can drive enterprises in the chain to improve their total factor productivity through three ways: strengthening risk management, optimizing resource allocation, and improving the ability of technology innovation. Further analysis shows that such effect becomes more positive as leading-chain enterprises are in downstream industrial chain and supply chain with high-level digital transformation and competitive geographical proximity. The research not only deepens the understanding of the vertical industrial leadership ability of "chain leader" enterprises, but also responds to the relevant policy requirements of developing the industrial chain and supply chain empowered by new quality productive forces. It also provides certain academic references for improving security and modernization of the industrial chain and supply chain, facilitating the development of new quality productive forces.
2024, 39(3): 66-78.
Abstract:
Fiscal and tax policies are the institutional guarantee for macroeconomic operation, playing a significant role in building a united national market and promoting Chinese path to modernization. Adopting the price method assessing market integration at the prefecture-level cities from 2009 to 2020, this paper builds a difference-in-differences model with an intensity index based on 2016 value-added tax reform being an exogenous shock, to investigate the effect of fiscal incentives on market integration. The results indicate that the fiscal incentives generated by the increase in tax sharing ratio are conducive to market integration, which is more pronounced in cities with high marketization index, high-level market integration, and larger population. The mechanism analysis shows that increasing the proportion of tax sharing encourages local governments to engage in tax competition and fiscal expenditure competition. In addition, tax competition has a negative impact on market integration, while fiscal expenditure competition has a positive effect. Further analysis indicates that an increase in the proportion of tax sharing will contribute to achieving common prosperity in the process of building a unified national market. Therefore, the governments should reform the performance evaluation system and standardize local governmental behaviors in tax competition, accelerate the transformation of government functions, establish a rule of law approach to government governance and a service government, and introduce such policy recommendations as improving the tax sharing system and optimizing fiscal incentive mechanisms.
Fiscal and tax policies are the institutional guarantee for macroeconomic operation, playing a significant role in building a united national market and promoting Chinese path to modernization. Adopting the price method assessing market integration at the prefecture-level cities from 2009 to 2020, this paper builds a difference-in-differences model with an intensity index based on 2016 value-added tax reform being an exogenous shock, to investigate the effect of fiscal incentives on market integration. The results indicate that the fiscal incentives generated by the increase in tax sharing ratio are conducive to market integration, which is more pronounced in cities with high marketization index, high-level market integration, and larger population. The mechanism analysis shows that increasing the proportion of tax sharing encourages local governments to engage in tax competition and fiscal expenditure competition. In addition, tax competition has a negative impact on market integration, while fiscal expenditure competition has a positive effect. Further analysis indicates that an increase in the proportion of tax sharing will contribute to achieving common prosperity in the process of building a unified national market. Therefore, the governments should reform the performance evaluation system and standardize local governmental behaviors in tax competition, accelerate the transformation of government functions, establish a rule of law approach to government governance and a service government, and introduce such policy recommendations as improving the tax sharing system and optimizing fiscal incentive mechanisms.
2024, 39(3): 79-94.
Abstract:
In the context of the new development paradigm, fostering the intelligentization of the circulation industry emerges as pivotal role in unlocking domestic and international dual circulation while addressing the disparities in urban and rural development. Through the lens of the consumption gap between urban and rural residents and Marx's social reproduction theory, this study elucidates that how the intelligentization of the circulation industry affects the balanced urban-rural development in the production, distribution, exchange, and consumption. Drawing upon the panel data of 285 Chinese cities from 2002 to 2022, this paper analyzes the impacts and mechanisms through which the intelligentization of the circulation industry influences the consumption gap between urban and rural residents. The findings reveal regional disparities in the consumption gap between urban and rural residents, and intelligentization of the circulation industry as well. Moreover, the intelligentization of the circulation industry demonstrates resilience in the face of adverse macroeconomic shocks while exhibiting potential for development amidst favorable macroeconomic circumstances. Notably, the intelligentization of the circulation industry significantly mitigates the consumption gap between urban and rural residents by facilitating the upgrading of regional industrial structures, narrowing the income differentials between urban and rural inhabitants, and fostering the growth of e-commerce, with the most pronounced effects observed in the western regions. Consequently, the intelligent transformation of the circulation industry, coupled with efforts to bridge the regional digital divide and regulate the development of economic development can provide robust support for boosting residents' consumption and advancing balanced urban-rural development.
In the context of the new development paradigm, fostering the intelligentization of the circulation industry emerges as pivotal role in unlocking domestic and international dual circulation while addressing the disparities in urban and rural development. Through the lens of the consumption gap between urban and rural residents and Marx's social reproduction theory, this study elucidates that how the intelligentization of the circulation industry affects the balanced urban-rural development in the production, distribution, exchange, and consumption. Drawing upon the panel data of 285 Chinese cities from 2002 to 2022, this paper analyzes the impacts and mechanisms through which the intelligentization of the circulation industry influences the consumption gap between urban and rural residents. The findings reveal regional disparities in the consumption gap between urban and rural residents, and intelligentization of the circulation industry as well. Moreover, the intelligentization of the circulation industry demonstrates resilience in the face of adverse macroeconomic shocks while exhibiting potential for development amidst favorable macroeconomic circumstances. Notably, the intelligentization of the circulation industry significantly mitigates the consumption gap between urban and rural residents by facilitating the upgrading of regional industrial structures, narrowing the income differentials between urban and rural inhabitants, and fostering the growth of e-commerce, with the most pronounced effects observed in the western regions. Consequently, the intelligent transformation of the circulation industry, coupled with efforts to bridge the regional digital divide and regulate the development of economic development can provide robust support for boosting residents' consumption and advancing balanced urban-rural development.
2024, 39(3): 95-113.
Abstract:
In the context of high-standard opening-up, the opening of the China-Europe Railway Express may have a profound impact on the regional economy and environment. Based on the panel data of prefecture-level cities in China from 2008 to 2019, this paper analyzes the effects and mechanisms between the China-Europe Railway Express and the green total factor productivity of China's cities by using the stacked DID method. The results indicate that the China-Europe Railway Express significantly promotes the green total factor productivity of China's node cities, with heterogeneity among channels, regions, and coverage, and that China-Europe Railway Express improves the green total factor productivity of the node cities mainly by promoting green innovation, industrial agglomeration, and alleviating financing constraints. Therefore, it is necessary to encourage, support and guide more Chinese cities to become the node cities of the China-Europe Railway Express, so as to expand the range of the domestic node cities to radiate overseas markets. At the same time, the node cities should enhance their green innovation, improve the related infrastructure, create a favorable business environment, and attract more capital and high-end industries to help their high-quality development.
In the context of high-standard opening-up, the opening of the China-Europe Railway Express may have a profound impact on the regional economy and environment. Based on the panel data of prefecture-level cities in China from 2008 to 2019, this paper analyzes the effects and mechanisms between the China-Europe Railway Express and the green total factor productivity of China's cities by using the stacked DID method. The results indicate that the China-Europe Railway Express significantly promotes the green total factor productivity of China's node cities, with heterogeneity among channels, regions, and coverage, and that China-Europe Railway Express improves the green total factor productivity of the node cities mainly by promoting green innovation, industrial agglomeration, and alleviating financing constraints. Therefore, it is necessary to encourage, support and guide more Chinese cities to become the node cities of the China-Europe Railway Express, so as to expand the range of the domestic node cities to radiate overseas markets. At the same time, the node cities should enhance their green innovation, improve the related infrastructure, create a favorable business environment, and attract more capital and high-end industries to help their high-quality development.
2024, 39(3): 114-128.
Abstract:
In the context of accelerating the development of digital economy, intellectual property protection, as an important policy tool for external governance, has a significant impact on corporate digital technology innovation. Taking the construction of the intellectual property demonstration city as a quasi-natural experiment, this paper, based on the data of Chinese listed A-share manufacturing enterprises from 2009 to 2019, adopts the difference-in-differences model with multiple time periods to analyze the impact of development of the intellectual property demonstration city on the digital technology innovation of enterprises and its intrinsic mechanism. It is found that the construction of intellectual property demonstration city can significantly promote corporate digital technology innovation, and this conclusion remains unchanged after a series of robustness tests. Heterogeneity analysis shows that the building of intellectual property demonstration city has a more visible effect on promoting digital technology innovation of non-state-owned enterprises, enterprises in highly competitive industries and enterprises in areas of high-quality financial development. The mechanism tests indicate that the development of intellectual property demonstration city promotes enterprises' digital technology innovation by improving intellectual property protection, enlarging the technology market size and increasing enterprises' innovation investment. Further analysis reveals that digital resource allocation in regions, the government's attention to the digital domain and the vitality of corporate internal governance can all play significant positive moderating roles. In addition, the construction of intellectual property demonstration city has the strongest role in promoting innovation in data-element-driven industries. This paper expands the relevant research in the construction of intellectual property system and digital technology innovation, which provides an important reference for optimizing the policy design of intellectual property and promoting digital technology innovation.
In the context of accelerating the development of digital economy, intellectual property protection, as an important policy tool for external governance, has a significant impact on corporate digital technology innovation. Taking the construction of the intellectual property demonstration city as a quasi-natural experiment, this paper, based on the data of Chinese listed A-share manufacturing enterprises from 2009 to 2019, adopts the difference-in-differences model with multiple time periods to analyze the impact of development of the intellectual property demonstration city on the digital technology innovation of enterprises and its intrinsic mechanism. It is found that the construction of intellectual property demonstration city can significantly promote corporate digital technology innovation, and this conclusion remains unchanged after a series of robustness tests. Heterogeneity analysis shows that the building of intellectual property demonstration city has a more visible effect on promoting digital technology innovation of non-state-owned enterprises, enterprises in highly competitive industries and enterprises in areas of high-quality financial development. The mechanism tests indicate that the development of intellectual property demonstration city promotes enterprises' digital technology innovation by improving intellectual property protection, enlarging the technology market size and increasing enterprises' innovation investment. Further analysis reveals that digital resource allocation in regions, the government's attention to the digital domain and the vitality of corporate internal governance can all play significant positive moderating roles. In addition, the construction of intellectual property demonstration city has the strongest role in promoting innovation in data-element-driven industries. This paper expands the relevant research in the construction of intellectual property system and digital technology innovation, which provides an important reference for optimizing the policy design of intellectual property and promoting digital technology innovation.
2019, 34(6): 35-49.
摘要：
数字普惠金融发展对产业结构升级具有重要积极意义。在对数字普惠金融发展与产业结构升级之间的关系进行理论分析的基础上, 基于283个地级以上城市2011—2015年的面板数据, 采用面板门槛模型等回归方法, 实证分析数字普惠金融发展及其各维度发展与产业结构升级之间的关系。结果表明: 数字普惠金融发展与产业结构升级之间存在非线性关系; 数字普惠金融发展存在瓶颈, 具有门槛效应; 数字普惠金融覆盖广度对产业结构升级具有长期且显著的促进作用, 数字普惠金融的使用深度和数字化程度与产业结构升级之间存在非线性关系; 不同区域的数字普惠金融发展对产业结构升级的非线性效应具有异质性, 对产业结构升级的正效应从东部到中西部逐级增强。因而政府部门和金融机构应加大建设数字金融基础设施的力度, 尤其要重视增加落后地区的普惠金融服务供给和提升其数字化程度, 同时, 也要防止数字普惠金融的过度发展为产业结构升级带来负的外部效应。
数字普惠金融发展对产业结构升级具有重要积极意义。在对数字普惠金融发展与产业结构升级之间的关系进行理论分析的基础上, 基于283个地级以上城市2011—2015年的面板数据, 采用面板门槛模型等回归方法, 实证分析数字普惠金融发展及其各维度发展与产业结构升级之间的关系。结果表明: 数字普惠金融发展与产业结构升级之间存在非线性关系; 数字普惠金融发展存在瓶颈, 具有门槛效应; 数字普惠金融覆盖广度对产业结构升级具有长期且显著的促进作用, 数字普惠金融的使用深度和数字化程度与产业结构升级之间存在非线性关系; 不同区域的数字普惠金融发展对产业结构升级的非线性效应具有异质性, 对产业结构升级的正效应从东部到中西部逐级增强。因而政府部门和金融机构应加大建设数字金融基础设施的力度, 尤其要重视增加落后地区的普惠金融服务供给和提升其数字化程度, 同时, 也要防止数字普惠金融的过度发展为产业结构升级带来负的外部效应。
2021, 36(5): 27-40.
摘要：
数字经济是经济发展提质增效的新动能和新引擎，对产业结构的转型升级具有重要驱动作用。在理论分析的基础上，从产业转型速度、产业结构高度化以及产业结构合理化三个维度对产业结构的转型升级进行分解，以区域创新创业指数表征城市创新创业水平，采用2011—2018年我国城市面板数据实证考察数字经济发展的产业结构转型升级效应及其作用机制。研究发现：(1)数字经济能显著提升产业转型速度、产业结构高度化和产业结构合理化，且基于互联网发展和数字普惠金融发展的分析结果趋同。(2)数字经济对产业结构转型升级的效应具有边际报酬递增的后发性优势，且东中西部区域异质性特征明显，其中中部地区是未来数字经济发展的重心。(3)从城市规模看，中等城市和大城市是数字经济驱动产业转型升级的重要着力点；从城市等级来看，二三线城市是产业转型的关键所在。(4)中介效应分析显示，创新创业水平是数字经济产业转型升级效应的重要传导路径，数字经济通过激发区域创新创业活力可加快产业转型速度、促进产业结构的高度化和合理化。以上结论对探索中国城市数字经济可持续发展、助推其与产业结构转型升级深度融合具有一定的参考意义。
数字经济是经济发展提质增效的新动能和新引擎，对产业结构的转型升级具有重要驱动作用。在理论分析的基础上，从产业转型速度、产业结构高度化以及产业结构合理化三个维度对产业结构的转型升级进行分解，以区域创新创业指数表征城市创新创业水平，采用2011—2018年我国城市面板数据实证考察数字经济发展的产业结构转型升级效应及其作用机制。研究发现：(1)数字经济能显著提升产业转型速度、产业结构高度化和产业结构合理化，且基于互联网发展和数字普惠金融发展的分析结果趋同。(2)数字经济对产业结构转型升级的效应具有边际报酬递增的后发性优势，且东中西部区域异质性特征明显，其中中部地区是未来数字经济发展的重心。(3)从城市规模看，中等城市和大城市是数字经济驱动产业转型升级的重要着力点；从城市等级来看，二三线城市是产业转型的关键所在。(4)中介效应分析显示，创新创业水平是数字经济产业转型升级效应的重要传导路径，数字经济通过激发区域创新创业活力可加快产业转型速度、促进产业结构的高度化和合理化。以上结论对探索中国城市数字经济可持续发展、助推其与产业结构转型升级深度融合具有一定的参考意义。
2021, 36(2): 16-27.
摘要：
构建多渠道机制下数字经济影响出口贸易的理论模型，利用2008—2017年中国省级面板数据，实证检验数字经济对制造业高质量走出去的空间溢出效应、非线性边际递增效应及影响机制。研究结果表明：数字经济显著促进了中国省级出口技术复杂度的提升，其产生的正向空间溢出效应能助推出口贸易的高质量发展；数字经济的空间溢出效应存在区域异质性，沿海省份较内陆省份享受了更多的数字红利；数字经济对出口技术复杂度的影响具有动态非线性驱动效应，出口贸易水平较高的地区享受的数字经济红利更大；通过人力资本与贸易成本两个渠道，数字经济能间接提升省级出口技术复杂度；数字经济作用于实体经济时普遍存在边际递增的网络效应。因而应加强数字经济基础设施建设，优化创新环境，让数字经济的发展推动我国制造业高质量走出去。
构建多渠道机制下数字经济影响出口贸易的理论模型，利用2008—2017年中国省级面板数据，实证检验数字经济对制造业高质量走出去的空间溢出效应、非线性边际递增效应及影响机制。研究结果表明：数字经济显著促进了中国省级出口技术复杂度的提升，其产生的正向空间溢出效应能助推出口贸易的高质量发展；数字经济的空间溢出效应存在区域异质性，沿海省份较内陆省份享受了更多的数字红利；数字经济对出口技术复杂度的影响具有动态非线性驱动效应，出口贸易水平较高的地区享受的数字经济红利更大；通过人力资本与贸易成本两个渠道，数字经济能间接提升省级出口技术复杂度；数字经济作用于实体经济时普遍存在边际递增的网络效应。因而应加强数字经济基础设施建设，优化创新环境，让数字经济的发展推动我国制造业高质量走出去。
2019, 34(3): 43-53.
摘要：
制造业与生产性服务业合理的空间协同分布体系是企业创新发展的关键所在，但目前关于生产性服务业与制造业协同集聚如何影响企业创新的研究还相对匮乏。鉴于此，基于产业空间协同分布视角，利用中国工业企业微观数据与城市面板的匹配数据，实证检验生产性服务业与制造业协同集聚对制造业企业技术创新的影响效应及其作用机制。结果发现：生产性服务业与制造业协同集聚显著促进了企业的技术创新，并且这一作用依赖于企业所有制类型、要素密集度、沟通密集度、城市规模等异质性因素。进一步研究表明，生产性服务业与制造业协同集聚主要通过作用于企业的交易成本结构、进入与退出决策行为及研发创新激励来影响企业的技术创新活动。
制造业与生产性服务业合理的空间协同分布体系是企业创新发展的关键所在，但目前关于生产性服务业与制造业协同集聚如何影响企业创新的研究还相对匮乏。鉴于此，基于产业空间协同分布视角，利用中国工业企业微观数据与城市面板的匹配数据，实证检验生产性服务业与制造业协同集聚对制造业企业技术创新的影响效应及其作用机制。结果发现：生产性服务业与制造业协同集聚显著促进了企业的技术创新，并且这一作用依赖于企业所有制类型、要素密集度、沟通密集度、城市规模等异质性因素。进一步研究表明，生产性服务业与制造业协同集聚主要通过作用于企业的交易成本结构、进入与退出决策行为及研发创新激励来影响企业的技术创新活动。
2022, 37(3): 4-20.
摘要：
数字经济是促进新时代经济高质量增长的重要引擎。基于2011—2019年30个省份的面板数据，分别利用熵值法和DEA-Malmquist指数法测算我国省级数字经济发展综合指数与全要素生产率，实证探讨数字经济对经济高质量发展的影响效应。研究发现：数字经济能显著促进经济高质量发展，该结论经过一系列稳健性检验后仍显著成立；机制分析表明，数字经济是通过提升区域创新水平、加快产业结构升级赋能于经济高质量发展；进一步分析表明，数字经济对相邻地区的经济高质量发展存在空间溢出效应，数字经济对经济高质量发展的促进效应因区域、生产率与人力资本的不同而存在异质性。因而应积极推进数字化基础设施建设，协调好各地区数字经济的均衡发展，实施数字化驱动发展战略，推进经济的高质量发展。
数字经济是促进新时代经济高质量增长的重要引擎。基于2011—2019年30个省份的面板数据，分别利用熵值法和DEA-Malmquist指数法测算我国省级数字经济发展综合指数与全要素生产率，实证探讨数字经济对经济高质量发展的影响效应。研究发现：数字经济能显著促进经济高质量发展，该结论经过一系列稳健性检验后仍显著成立；机制分析表明，数字经济是通过提升区域创新水平、加快产业结构升级赋能于经济高质量发展；进一步分析表明，数字经济对相邻地区的经济高质量发展存在空间溢出效应，数字经济对经济高质量发展的促进效应因区域、生产率与人力资本的不同而存在异质性。因而应积极推进数字化基础设施建设，协调好各地区数字经济的均衡发展，实施数字化驱动发展战略，推进经济的高质量发展。
2021, 36(1): 98-112.
摘要：
员工持股计划作为企业内部的一项集体激励政策，在优化企业产权配置的同时亦对企业融资能力产生重要影响。基于2011—2018年A股上市公司样本，探究员工持股计划对企业融资约束的影响及作用机制，研究发现，员工持股计划通过降低外部融资成本来缓解企业的融资约束状况，这种缓解作用对东部地区的企业以及民营企业更为显著；员工持股计划通过增强员工身份认同、缓解员工层面代理问题等途径来提升企业内部控制质量，内部控制质量在员工持股计划与融资约束作用之间起到部分中介作用；由于员工之间的“监督效应”及员工持股计划的“公告效应”，员工持股计划在提升内部控制质量方面不存在“搭便车”行为，在缓解融资约束方面存在“1/N”效应。本研究结论为新时期推进员工持股深化改革、提升本土企业内部竞争力提供了参考。
员工持股计划作为企业内部的一项集体激励政策，在优化企业产权配置的同时亦对企业融资能力产生重要影响。基于2011—2018年A股上市公司样本，探究员工持股计划对企业融资约束的影响及作用机制，研究发现，员工持股计划通过降低外部融资成本来缓解企业的融资约束状况，这种缓解作用对东部地区的企业以及民营企业更为显著；员工持股计划通过增强员工身份认同、缓解员工层面代理问题等途径来提升企业内部控制质量，内部控制质量在员工持股计划与融资约束作用之间起到部分中介作用；由于员工之间的“监督效应”及员工持股计划的“公告效应”，员工持股计划在提升内部控制质量方面不存在“搭便车”行为，在缓解融资约束方面存在“1/N”效应。本研究结论为新时期推进员工持股深化改革、提升本土企业内部竞争力提供了参考。
2020, 35(2): 55-67.
摘要：
以2008—2017年我国A股上市公司为研究样本, 实证检验了资产剥离对企业财务绩效的影响及其作用机制。研究发现, 资产剥离的实施能够显著影响企业的财务绩效, 其对企业财务绩效的作用方向取决于剥离前企业的业绩基础, 即对于经营不佳的企业而言, 资产剥离损害了企业财务绩效, 反之则显著提升了企业财务绩效。机制检验表明, 融资约束在资产剥离与企业财务绩效的负向关系中发挥了中介效应, 投资效率在资产剥离与企业财务绩效的正向关系中发挥了中介效应。
以2008—2017年我国A股上市公司为研究样本, 实证检验了资产剥离对企业财务绩效的影响及其作用机制。研究发现, 资产剥离的实施能够显著影响企业的财务绩效, 其对企业财务绩效的作用方向取决于剥离前企业的业绩基础, 即对于经营不佳的企业而言, 资产剥离损害了企业财务绩效, 反之则显著提升了企业财务绩效。机制检验表明, 融资约束在资产剥离与企业财务绩效的负向关系中发挥了中介效应, 投资效率在资产剥离与企业财务绩效的正向关系中发挥了中介效应。
2021, 36(2): 69-85.
摘要：
相较于美国式面向全体员工的退休储蓄型计划，中国式员工持股计划面向关键少数员工，员工大多自行出资，持股期更加灵活。基于2011—2017年A股上市公司数据，研究员工持股计划与企业创新产出数量与质量之间的关系；并进一步依据员工持股计划的契约特征将其分为治理型、激励型与绑定型三类，研究不同路径取向下的员工持股计划对企业创新的影响差异。结果表明：相对于治理型计划，激励型计划与绑定型计划均能提升企业的创新产出，且绑定型计划的作用更加显著；影响机制检验发现，激励型计划促进了员工在创新活动中的努力投入，绑定型计划降低了员工流失率并提升了高管的风险承担水平。本研究证实员工持股计划的实施符合利益协同观而非市值管理观，中国式员工持股计划具有创新促进效应。
相较于美国式面向全体员工的退休储蓄型计划，中国式员工持股计划面向关键少数员工，员工大多自行出资，持股期更加灵活。基于2011—2017年A股上市公司数据，研究员工持股计划与企业创新产出数量与质量之间的关系；并进一步依据员工持股计划的契约特征将其分为治理型、激励型与绑定型三类，研究不同路径取向下的员工持股计划对企业创新的影响差异。结果表明：相对于治理型计划，激励型计划与绑定型计划均能提升企业的创新产出，且绑定型计划的作用更加显著；影响机制检验发现，激励型计划促进了员工在创新活动中的努力投入，绑定型计划降低了员工流失率并提升了高管的风险承担水平。本研究证实员工持股计划的实施符合利益协同观而非市值管理观，中国式员工持股计划具有创新促进效应。
2020, 35(5): 48-57.
摘要：
基于不同规制类型与行业竞争程度差异, 将制造业分为高竞争性行业和低竞争性行业, 采用系统GMM动态面板模型评估行政命令型环境规制、市场激励型环境规制及综合使用这两类环境规制对制造业绿色发展的异质性影响。研究发现: (1)环境规制整体对制造业绿色发展的影响会经历一个由阻碍到促进的U型变化, 当前我国环境规制的影响处于阻碍阶段, 且这种阻碍效应在高竞争性行业更显著, 低竞争性行业的U型拐点出现更晚; (2)行政命令型环境规制和市场激励型环境规制对制造业绿色发展分别表现为阻碍效应和促进效应, 且这两种效应在高竞争性行业均表现更显著; (3)技术创新主要驱动了低竞争性行业的绿色发展, 而对高竞争性行业的作用不显著。
基于不同规制类型与行业竞争程度差异, 将制造业分为高竞争性行业和低竞争性行业, 采用系统GMM动态面板模型评估行政命令型环境规制、市场激励型环境规制及综合使用这两类环境规制对制造业绿色发展的异质性影响。研究发现: (1)环境规制整体对制造业绿色发展的影响会经历一个由阻碍到促进的U型变化, 当前我国环境规制的影响处于阻碍阶段, 且这种阻碍效应在高竞争性行业更显著, 低竞争性行业的U型拐点出现更晚; (2)行政命令型环境规制和市场激励型环境规制对制造业绿色发展分别表现为阻碍效应和促进效应, 且这两种效应在高竞争性行业均表现更显著; (3)技术创新主要驱动了低竞争性行业的绿色发展, 而对高竞争性行业的作用不显著。
2022, 37(2): 71-87.
摘要：
“双循环”背景下，新型城镇化不仅是经济发展的新动力，也是实现共同富裕的有力支撑。基于扎实推进共同富裕的背景，从富裕水平、区域差距和城乡差距三方面构建共同富裕的指标体系，测算了281个城市的共同富裕水平，并采用SARAR模型分析新型城镇化对共同富裕的影响。研究发现：推进地区经济发展是实现共同富裕的根本途径；新型城镇化和共同富裕存在着空间相关性，且新型城镇化对共同富裕及其各维度产生显著的促进作用；共同富裕不仅受新型城镇化的影响，还受到城市初始经济发展的影响；比较而言，新型城镇化更能够提升贫困地区的共同富裕水平；新型城镇化对共同富裕产生直接作用的同时，还会通过农民收入和公共服务对共同富裕产生间接的促进作用。在推进新型城镇化过程中，可从提高富裕水平、缩小城乡收入差距和区域经济差距角度助推共同富裕。
“双循环”背景下，新型城镇化不仅是经济发展的新动力，也是实现共同富裕的有力支撑。基于扎实推进共同富裕的背景，从富裕水平、区域差距和城乡差距三方面构建共同富裕的指标体系，测算了281个城市的共同富裕水平，并采用SARAR模型分析新型城镇化对共同富裕的影响。研究发现：推进地区经济发展是实现共同富裕的根本途径；新型城镇化和共同富裕存在着空间相关性，且新型城镇化对共同富裕及其各维度产生显著的促进作用；共同富裕不仅受新型城镇化的影响，还受到城市初始经济发展的影响；比较而言，新型城镇化更能够提升贫困地区的共同富裕水平；新型城镇化对共同富裕产生直接作用的同时，还会通过农民收入和公共服务对共同富裕产生间接的促进作用。在推进新型城镇化过程中，可从提高富裕水平、缩小城乡收入差距和区域经济差距角度助推共同富裕。
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