Data Of Industrial Enterprises Research Articles

The productivity spillover effect of foreign divestment: Evidence from Chinese industrial enterprises

Foreign divestment in China is garnering increasing social attention. This study investigates the productivity spillover effects of foreign divestment based on Chinese industrial enterprise data from 2000 to 2007. Our findings indicate that foreign divestment negatively impacts the total factor productivity (TFP) of incumbent enterprises, especially through backward linkages. We examine potential mechanisms based on the characteristics of divested and incumbent enterprises. The closure of foreign-invested enterprise disrupts industrial connections, whereas the sale of foreign equity to domestic shareholders strengthens local industrial linkages, thus presenting an opposite effect. Hong Kong, Macau, and Taiwan (HMT)-invested enterprises tend to local sourcing, leading to divestment effects through backward linkages. Conversely, non-HMT enterprises, with a higher capability to provide differentiated intermediate goods, primarily exhibit forward linkage effects. Further analysis reveals that incumbent enterprises with lower technological capabilities are more dependent on their foreign suppliers and customers. Domestic non-state-owned enterprises and those in regions with lower economic development or marketization levels also have less stable input-output relationships. As a result, these enterprises are more susceptible to the vertical spillover effects of foreign divestment.

The impact of the energy-consuming right trading system on corporate environmental performance: Based on empirical evidence from panel data of industrial enterprises listed in pilot regions

The energy-consuming right trading system (ECRTS) is a significant institutional innovation in China to address the increasingly severe energy crisis and environmental issues. Identifying the policy effects of energy consumption rights on corporate environmental performance (CEP) is conducive to achieving a win-win situation for China's economic growth and carbon neutrality. This study aims to analyze the impact of energy-consuming right trading system on corporate environmental performance and provide empirical evidence and policy implications for the full implementation of future policies. Using data from Chinese listed industrial enterprises from 2012 to 2019 and adopting the difference-in-differences method and mediation analysis, we empirically analyze the policy effects of energy-consuming right trading system. We find that the energy-consuming right trading system significantly promotes the improvement of corporate environmental performance, and the conclusion remains valid after a series of robustness tests. Further mechanism examinations indicate that the system mainly enhances environmental performance by affecting corporate green technological innovation. Heterogeneity tests suggest that the energy-consuming right trading system has a stronger impact on companies in economically developed regions, non-state-owned enterprises, and those with higher asset flexibility. Our research results can aid in the green transformation of enterprises and provide practical evidence for China to accelerate the comprehensive construction of the energy consumption rights trading market.

Global value chain embeddedness, technology spillover and enterprise innovation

Innovation is the first driving force for high-quality economic development, and the global value chain (GVC) with intermediate goods as the carrier is an essential channel for international technology spillovers. This paper conducts a comprehensive examination of the impact of GVC embeddedness on enterprise innovation from the perspective of two-way embedding. An empirical test using the UIBE GVC Indicators data, Chinese Industrial Enterprise data, China Customs data, and enterprise patent data shows that GVC embeddedness significantly promotes enterprise innovation. The effect of backward embeddedness is greater than that of forward embeddedness. However, the innovation effect of GVC embeddedness is heterogeneous due to different innovation types, embeddedness depths, ownership, trade patterns, and locations of enterprises. Meanwhile, the technology spillovers are an essential channel for GVC embeddedness to promote enterprise innovation. By uncovering the role mechanism of GVC embeddedness in influencing enterprise innovation from the perspective of technology spillovers, this paper offers a new way of thinking to fully unleash the innovation effect of GVC embeddedness.

The impact of artificial intelligence application on enterprise environmental performance: Evidence from microenterprises

The progress of artificial intelligence (AI) technology is an important way to solve the problem of global sustainable development. This paper discusses how AI, as a new scientific force, affects the pollution reduction of enterprises from a micro perspective. In this paper, the robot data provided by the International Federation of Robotics and pollution data of industrial enterprises in China are used for empirical analysis to test the effect of AI on pollution performance of enterprises. The results show that the application of AI can reduce enterprise emissions through technological innovation effect and labor substitution effect, and this result remains robust after sample substitution and variable substitution. Further heterogeneity analysis shows that AI has a more significant impact on enterprises in big cities and southern cities, as well as large enterprises, old enterprises and non-technology-intensive enterprises. The research results of this paper provide an effective reference for solving how to achieve green and sustainable development of artificial intelligence applications.

Does social trust promote the size of enterprises? Evidence from China

Existing research on the relationship between social trust and enterprise size primarily relies on cross-country analysis, but country-specific studies are still rare, especially for developing countries. Drawing on Fukuyama’s proposition that social trust fosters enterprise expansion, this study empirically investigates the effect of social trust on the size of enterprises in China. We analyze industrial enterprise data from the China Industrial Enterprise Database and manually collected data on blood donations, a proxy for social trust, at the prefecture level. Our findings indicate that regions with higher social trust have both larger enterprises and a greater prevalence of large enterprises than regions with low social trust. This study offers an explanation for the “riddle of the absence of large enterprises in China” by considering the role of social trust and provides an empirical examination of Fukuyama’s proposition in the unique context of China.

Сравнительная оценка устойчивого развития промышленных предприятий в Арктических территориях Российской Федерации

Introduction. The work updates the situation with the enhanced sustainability of industrial enterprises in the Arctic territories of the Russian Federation since they are characterized with resources’ high potential associated with high environmental risks due to their exploration. Purpose. The paper aims at comparing the key indicators for sustainable development of the leading industrial enterprises in the Russian Federation in terms of their environmental impact. Materials and Methods. The authors reviewed modern studies related to the assessment of industrial development in the Arctic from the standpoint of technology, environmental friendliness, the formation of a data system, which reflect the trends in environmental load on the territory from the activities of industries. The identified trends in the sustainable development of industrial enterprises in the Arctic zone were analyzed and analytically interpreted. Methodologically, the paper synthesizes the methods of retrospective analysis and identifies the trends by analyzing rated key sustainability indicators defined by the data of industrial enterprises. Results. The paper proves the need for an in-depth analysis and detailed analysis of indicators of industrial load on the environment in the Arctic territories. The database for comparing key indicators was compiled, and the key trends in the sustainable development of industrial enterprises were identified. The analysis of their dynamics showed the multidirectionality in the development of industrial enterprises. The trajectories of enterprises’ efforts in achieving sustainability parameters were described: when the growth of expenditures is associated with a decrease in emissions and waste from production activities; when production and environmental indicators show multidirectional dynamics; when the enterprise growth rate decreases, environmental indicators improve. Conclusions. Thus, the authors substantiated the need to develop and implement a mechanism for regulating environmental policy at the state level, which would provide for measures aimed at active and systematic reduction of the environmental load on the environment in the Arctic territories.

How does global value chain embeddedness affect environmental pollution? Evidence from Chinese enterprises

This study investigates the impact of global value chain (GVC) embeddedness on corporate polluting behavior at the micro level. Although existing studies have examined the environmental effects of GVCs, little attention has been paid to the underlying mechanisms through which GVCs affect corporate pollution. To fill this knowledge gap, this study uses Chinese industrial enterprise data over the period 2000–2013 as the research setting to examine the impact of embedded GVCs on corporate polluting behavior. We find that the embeddedness of enterprises in a GVC reduces SO2 emissions. The reduction effect of GVC embeddedness is transmitted through scale and technology effects but not through the composition effect. Heterogeneity analysis indicates that such a reduction effect on corporate pollution is more pronounced in general trading enterprises, domestic enterprises, and enterprises located in regions with high environmental regulations. Further analysis suggests that GVC embeddedness reduces SO2 emissions, mainly through front-end pollution control, by reducing the use of fossil fuels rather than back-end governance. Our findings have important practical implications for GVC participation and sustainable development in emerging economies.

Relationship Between Carbon Emissions and Economic Development of Industrial Parks Based on Decoupling Index

Industrial parks are the main carriers of industrial activities and are also key areas for carbon emissions. To deeply explore the decoupling state of carbon emissions and economic development of industrial parks and the driving forces, Zhengzhou Economic Development Zone were taken as example, based on the energy consumption data of industrial enterprises above a designated size from 2011 to 2020, the IPCC carbon emission accounting method, Tapio decoupling model, and logarithmic mean Divisia index decomposition method were used to analyze the characteristics of carbon emissions from energy consumption in the park, the relationship between carbon emissions and economic development, and the driving factors of decoupling. The results showed that:① in terms of carbon emission characteristics, the carbon emissions of energy consumption in Zhengzhou Economic Development Zone were mainly indirect carbon emissions, and the total carbon emissions showed a trend of rapid growth in the early stage, slowing down in the medium term, and negative growth in the later stage. The carbon emission intensity was decreasing annually. ② From the perspective of decoupling, the decoupling index between total carbon emissions and economic development in Zhengzhou Economic Development Zone from 2011 to 2016 was 1.021, which was in a state of growth linkage, and the decoupling index decreased to 0.089 from 2016 to 2020, turning into a weak decoupling state. ③ From the analysis of driving factors, from 2011 to 2016, four factors, namely carbon emission coefficient, energy efficiency, industrial structure, and economic level, all had a restraining effect on the decoupling of carbon emissions in Zhengzhou Economic Development Zone, and from 2016 to 2020, they all turned into promotion except for the economic level. This study showed that among the factors for the decoupling of carbon emissions in the Zhengzhou Economic Development Zone, the economic level played a major inhibitory role, and energy efficiency played a major role in promoting it. The results of this study can provide a reference for the industry-city integrated industrial park represented by Zhengzhou Economic Development Zone to formulate corresponding carbon emission reduction policies and achieve the carbon peaking and carbon neutrality goals.

Does green credit promote firm environmental performance? A new perspective of economic growth target constraints.

Green credit encompasses financial instruments and services utilized to mitigate greenhouse gas emissions and facilitate adaptation to global climate change. Establishing a long-term stable green credit institution is crucial to promoting carbon abatement goals. This study uses the difference-in-difference (DID) model to discuss the impact of green credit policy (GCP) on environmental performance based on the China industrial enterprise data. Our results show that GCP inhibits the pollution emissions and improve firm environmental performance. This improvement effect is attributed to a reduction in production scale, and financing constraints. Moreover, GCP increases the firms' exit risk from market and promotes the technological innovation of incumbent firms. Economic growth target constraints trigger a positive moderation role in the implementation of GCP. Heterogeneity results show that such improvement effect is more pronounced in state-owned firm, large-scale firms, and high R&D intensity firms. Importantly, our findings also suggest the environmental monitoring effect of green credit is dependent on the institutional quality. Only in a sound market environment can GCP effectively improve firm environmental performance. Finally, we propose to build a systematic incentives and constraints mechanism to achieve the sustainable development. The conclusions of this paper provide empirical evidence and policy implications for the implementation of GCP.

Has enterprise digital transformation facilitated the carbon performance in Industry 4.0 era? Evidence from Chinese industrial enterprises

Continuing energy consumption is a major cause of global warming, and currently carbon neutrality is increasingly becoming an important task for low-carbon development. Based on the context of Industry 4.0, this paper explores whether enterprise digital transformation (DT) can enhance its carbon performance using industrial enterprise data from 2012 to 2020 in China. It is found that DT is significantly positive impact its carbon performance, and the findings are still valid after the robustness assessment. The channel test uncovers that enterprises in the process of digital transformation can enhance their innovation capacity, improve factor allocation efficiency, increase research and development (R&D) investment and optimize supply chain structure, thus raising their carbon performance. Heterogeneity analysis uncovers that the facilitating impact of DT on carbon performance is more pronounced in eastern, highly market-oriented and resource-based regions. Additionally, this promotion effect is also stronger in non-state-owned enterprises and large enterprises. The current research uncovers the benefits of DT for low-carbon development at the micro-level and provides relevant policy insights to further promote DT and enhance carbon performance in Industry 4.0 era.

Research on the Impact of Producer Service Quality on Export Technological Complexity of Manufacturing Enterprise

Abstract Based on the world Input-output data, Chinese industrial enterprise data and customs data from 2000 to 2013, this paper examines the effect of producer service quality on export technology complexity and its transmission mechanism. The results show that improving the quality of producer service inputs can significantly increase the export technological complexity of manufacturing enterprises, which is consistent with the endogenous and robustness test. The heterogeneity study finds that the quality of producer services has a significant effect on the export technological complexity of capital-intensive and technology-intensive manufacturing enterprises, but has no significant effect on the export technological complexity of labor-intensive manufacturing enterprises. The quality of domestic-sourced producer services has a significant positive effect on the export technological complexity of manufacturing firms, while the effect of foreign-sourced producer services is not significant. From the perspective of influence mechanism, the improvement of enterprise R&D innovation level and export product diversity will strengthen the positive correlation between the quality of input producer services and enterprise export technology complexity. Keywords: Productive service quality, Export technology complexity, Manufacturing Industry.

Can the National Specially Monitored Firms program improve corporate environmental performance?—Empirical evidence from China

As an important measure of reform of the central environmental supervision, the National Specially Monitored Firms program has a significant impact on enterprise pollution control. However, there are few studies that have systematically studied the mechanism of this system on enterprise environmental performance. Based on the quasi natural experiment of the National Specially Monitored Firms program, this article uses the emission data of industrial enterprises from 2001 to 2009 to investigate the impact of the central environmental supervision on on corporate environmental performance by using the DID method. It is found that the National Specially Monitored Firms program has significantly improved the corporate environmental performance of the monitored enterprises. Heterogeneity analysis finds that when compared with enterprises with a higher degree of financing constraints, export enterprises, and enterprises with a lower level of economic development in the region, the implementation of the National Specially Monitored Firms program has a more significant effect on improving the environmental performance of enterprises with a lower degree of financing constraints, domestic enterprises, and enterprises with a higher level of economic development in the region. The mechanism test shows that improving the enterprise environmental protection equipment investment is not the only intermediary mechanism for the National Specially Monitored Firms program to improve corporate environmental performance. The conclusions of this article are not only conducive in optimizing the environmental governance methods but also inspirational for monitoring practices in other fields.

Coupling coordination degree analysis and driving factors of innovation network and eco-efficiency in China

Green and high-quality development has become an important development path for the global response to climate change. Eco-efficiency and innovation, as important indicator and core driver of green and high-quality development respectively, have attracted wide attention. However, the research on the relationship between innovation and eco-efficiency is mostly qualitative research, and the index selection of technological innovation and eco-efficiency is single. Therefore, this paper from the perspective of quantitative research based on the industrial enterprise data of 30 provinces from 2006 to 2019 to explore the mechanism between innovation network and eco-efficiency by constructing a three-stage evaluation model. The first step is to build the network SBM model to measure the innovation network efficiency, and decomposing it to explore the internal development and change rules of the innovation. And the SBM with undesirable output model is employed to evaluate the eco-efficiency and analyze the regional heterogeneity. Second, the coupling coordination model is constructed to quantitatively study the coupling coordination degree between innovation network efficiency and eco-efficiency. Finally, the influencing factors of coupling coordinated degree are discussed. The result shows that the innovation network comprehensive efficiency is lower than that of scientific and technological innovation efficiency and transformation of scientific and technological achievement efficiency, and the eco-efficiency of eastern China develops stably and is higher than that of the other three economic zones. Scientific technological innovation and the eco-efficiency of coupling coordination degree is higher than the transformation technological achievement and eco-efficiency of coupling coordination degree. Information and communication technology plays an important role in promoting innovation network comprehensive efficiency and eco-efficiency at different systems.

Regional Economic Competition, Fiscal Subsidies, and Overcapacity

Promotion tournaments theory and regional economic competition can be used to explain China's overcapacity. This study used the non-radial distance function to evaluate the overcapacity considering resource and environmental pollution, combined with Chinese industrial enterprise data, to evaluate the fiscal subsidies and their impact on regional industrial capacity. Empirical evidence based on provincial panel data shows that to strive for more foreign investment, local governments tend to increase fiscal subsidies to industrial enterprises and inhibit capacity utilization, but the technology diffusion and competitive effect of foreign investment can also weaken this adverse effect. The heterogeneity analysis based on geographical location shows that the fiscal subsidies to industrial enterprises weaken the improvement effect of economic competition on capacity utilization in coastal cities, but there is no such impact in inland cities. Reducing the government's excessive intervention and promoting orderly competition are essential to eliminating overcapacity.

Environmental regulation, R&D investment, and green technology innovation in China: Based on the PVAR model.

The unreasonable economic development model of human beings has caused the environmental pollution problem to become increasingly serious. In order to achieve a positive relationship and interaction between environmental regulation, research and development (R&D) investment, and green technology innovation, and effectively solve the “strange circle” problem between high-quality economic development and environmental pollution in China and even the world, this paper takes the panel data of industrial enterprises above designated size in Chinese mainland 31 provinces from 2009 to 2019 as a research sample. The comprehensive index of R&D investment and green technology innovation was established by the entropy method, and the panel vector autoregressive (PVAR) model was constructed from the dynamic endogenous perspective, and the dynamic interaction and regional heterogeneity between environmental regulation, R&D investment, and green technology innovation were empirically analyzed by using impulse response function and variance decomposition. We obtain the following findings: (1) Environmental regulation has a two-way interaction relationship with R&D investment and green technology innovation, and R&D investment has a promotion effect on the “green degree” of technological innovation, but its role is still weak and has lagging characteristics. (2) There is significant regional heterogeneity in the dynamic responses of the eastern, central and western parts of China. (3) In the long run, environmental regulation has a “negative crowding out effect” on R&D investment in the central region, and the phenomenon of “central collapse” still exists but will gradually weaken. Environmental regulation has a “positive innovation compensation effect” on green technology innovation. Green technology innovation and R&D investment have an obvious “Pareto improvement” effect on environmental regulation, especially in the eastern region. The conclusions of this study help to clarify the dynamic interaction between environmental regulation, R&D investment, and green technology innovation, further improve environmental regulatory policies and green technology innovation R&D decision-making, and provide an effective way to achieve green and sustainable development in China and other parts of the world.

Temporal and Spatial Evolution of the Science and Technology Innovative Efficiency of Regional Industrial Enterprises: A Data-Driven Perspective

This study develops a data-driven, comprehensive evaluation method to improve the science and technology innovative efficiency of industrial enterprises above designated size (hereinafter “industrial enterprises”). Based on an innovation value chain perspective, a two-stage evaluation index system is constructed. Thereafter, the Pearson correlation coefficient method was used to analyze correlations in the constructed index system. A two-stage network data envelopment analysis model with additional intermediate input was constructed to measure and evaluate industrial enterprises’ science and technology innovative efficiency from three aspects—research and development (R&D), commercialization, and comprehensive efficiencies—to reveal the temporal and spatial evolution. The feasibility and effectiveness of the method was verified using the statistical data of industrial enterprises in 16 cities in Anhui Province, China, from 2011 to 2020. The results show that the comprehensive efficiency of the scientific and technological innovation of industrial enterprises in these cities is at a medium level, and the efficiency development of the two stages is uncoordinated; the two-stage efficiency distribution tends to be “high R&D–high commercialization” and “low R&D–low commercialization”, and targeted countermeasures and suggestions are proffered. This study provides a reference for the sustainable development of industrial enterprises in relevant regions.

The Influence of Administrative Division Adjustment on Enterprise Earnings Management: A Quasi-Natural Experiment on City–County Consolidation

City–county consolidation is a common measure used by many cities to promote urbanization. This study develops the theoretical transmission mechanism, “city-county consolidation intensifies competition in the enterprise market improves the earnings management level of enterprises,” to analyze the influence of city–county consolidation on enterprises’ earnings management. An empirical analysis using the difference-in-differences (DID) method was conducted on data of industrial enterprises from 1999 to 2006. The results show that city–county consolidation promotes motivation for the use of enterprises’ earnings management. Second, city–county consolidation significantly intensifies enterprises’ downward earnings management behavior. Third, following city–county consolidation, non-state-owned enterprises are more strongly motivated to implement earnings management than state-owned enterprises. Fourth, city–county consolidation only significantly impacts the earnings management of enterprises affiliated with counties; it does not significantly impact the earnings management of those affiliated with central, provincial, or municipal governments. Therefore, this study provides empirical evidence from the perspective of market competition, which has important reference significance for urbanization development to improve national governance capacity by optimizing administrative divisions.

Green total factor productivity measurement of industrial enterprises in Zhejiang Province, China: A DEA model with undesirable output approach

The green production efficiency of industrial enterprises in Zhejiang Province is not only related to the level of green economy in Zhejiang Province, but also provides an example for the green development of national industrial enterprises. This paper used the panel data of industrial enterprises by sector and city in Zhejiang Province from 2012 to 2017. Firstly, the entropy weight method is employed to calculation the Comprehensive Environment Pollution Index (CEPI) of various sectors and cities including sulfur dioxide; nitrogen oxide; smoke and dust; solid waste and hazardous solid waste. The method of output-oriented Data Envelopment Analysis (DEA) model with undesirable output was employed to measure Global Malmquist-Luenberger Productivity Index (GMLPI). The conclusion shows that: (1) Zhejiang industrial enterprises have made slight progress (0.738% per year on average) in comprehensive efficiency between 2012 and 2017. (2) In sectoral efficiency analysis, the fluctuation of TC and SEC is the main factor affecting the comprehensive efficiency of the sector. (3) In city efficiency analysis, Hangzhou; Ningbo; Wenzhou; Jiaxing and Shaoxing have made progress in comprehensive efficiency in the research period, while Jinhua; Quzhou and Zhoushan have made decline. This paper provides support for the green development of Zhejiang Province.

Tax Competition, Capital Flow, and the Innovation Efficiency of Industrial Enterprises

Many countries use tax competition tools to stimulate enterprises to improve innovation efficiency. Consequently, in China, does tax competition have an incentive effect on the improvement of enterprise innovation efficiency, and what is the existing mechanism? Considering the characteristics of industrial enterprises engaged in various innovative activities to achieve sustainable competitive advantage and taking the panel data of industrial enterprises in 31 provinces and regions of China from 2011–2018 as the research object, this paper empirically studies the influence of tax competition and its mechanism on the innovation efficiency of industrial enterprises. It is shown that excessive tax competition in China hinders the improvement of the innovation efficiency of industrial enterprises, in which capital flow plays a partially mediating role. Further research shows that after the implementation of an innovation-driven development strategy, the degree of tax competition in China was reduced, which alleviated the adverse impact of excessive tax competition on the innovation efficiency of industrial enterprises, and capital flow also reduced this negative effect. The results reflect the good effect of implementing an innovation-driven development strategy in China, and it also shows that excessive government intervention is not conducive to the effective allocation of market resources. Tax Competition is a double-edged sword; therefore, it is necessary to promote the innovation efficiency of industrial enterprises by combining promising government and an effective market. The conclusions are important for the appropriate shaping of fiscal policy.

The Comparative Advantage of Cities and Innovation Value Chain: Evidence from China

Cities are different in industrial structure; some are specialized while others are diversified. Based on the theory of the innovation value chain, this paper used the innovation data of industrial enterprises from 2008 to 2014 in China to test the comparative advantage of cities in innovation. Our empirical results proved that diversified cities are more suitable for the R&D process of innovation through the labor matching effect and the knowledge spillover effect, while specialized cities are more suitable for the commercialization process through cost-saving effect. Enterprises could choose suitable locations due to their positions in the innovation value chain to achieve sustainable development.