Technological Innovation Ability Research Articles

Environmental Regulation and Green Technology Innovation under the Carbon Neutrality Goal: Dual Regulation of Human Capital and Industrial Structure

Green technology innovation is increasingly becoming an important driver of modern development. Facing the pressure of the carbon neutrality target, China has been strengthening environmental regulations in recent years, and the green technology innovation ability of market players has been affected. Moreover, the impact of environmental regulations on green technology innovation and the strategies to develop green technology innovation still need to be further explored. Here, we used 285 cities from 2010–2020 as research subjects, constructed indicators such as environmental regulation and green technology innovation capability, and used panel regression, threshold effect and mediating effect methods. The results reveal that: (1) environmental regulation has a disincentive effect on green technology innovation, as increased environmental regulation increases production costs, external costs and opportunity costs for firms, causing a mismatch of resources and creating a “crowding-out effect” that inhibits innovation development; (2) further study finds that when the human capital level reaches a certain threshold value, the impact of environmental regulation on green technology innovation shifts significantly, i.e., there is a threshold effect; (3) industrial structure can further be upgraded and optimized by environmental regulation, which will have an impact on green technology innovation, thus industrial structure optimization plays a mediating role. We conclude with recommendations for improving green innovation techniques for market players, and provide some lessons for accelerating the goal of carbon neutrality and promoting quality economic development.

Impact of Environmental Regulation on Regional Innovative Ability: From the Perspective of Local Government Competition.

We empirically investigate the relationship between environmental regulation and regional innovative ability from the perspective of government competition with a dynamic spatial model, using the 2011-2020 Chinese interprovincial panel dataset as the sample. Empirical underpinnings reveal the interconnection between environmental regulation and regional innovative ability. Further, it has been substantiated as follows: (1) environmental regulation affects regional innovative ability significantly. From the national level perspective, environmental regulation is negatively correlated with regional innovative ability. Further, vigorous environmental regulation deters regional innovative ability and produces a crowding out effect; (2) Environmental regulation has a significant spatial spillover effect on regional technological innovative ability. Meanwhile, the promulgation of environmental policy in the region will affect the innovative ability of neighboring regions; (3) It has also been concluded that there is a strategic competition among local governments in promulgation of environmental regulation, specifically in eastern and central regions which has been signified through regional regressions result. Comprehensively, the current study provides recommendations to governments for allocation of environmental policy under the aegis of regional innovation for improving regional innovative ability.

The Spatial Effect and Threshold Characteristics of Green Technological Innovation on the Environmental Pollution of Thermal Power, etc., Air Pollution-Intensive Industrial Agglomeration in China

Serious air pollution has occurred in China since 2012. With the increasing investment in technological innovation in China, the role of green technological innovation in reducing air pollution has attracted more and more attention. By constructing the spatial Durbin model and threshold regression model and using the statistical data of China’s provinces, this study explores the spatial effects and threshold characteristics of China’s green technology innovation on the environmental pollution of China’s air pollution-intensive industrial agglomeration. The research objective is to find out the spatial effects and threshold characteristics of green technology innovation on the environmental pollution of China’s air pollution-intensive industrial agglomeration. The results show that thermal power, etc., air pollution-intensive industrial are important sources of sulfur dioxide emissions; however, their degree of concentration is gradually increasing, resulting in rising sulfur dioxide emissions in these areas. When the level of green technological innovation is greater than 8.0523, its inhibition effect on sulfur dioxide emissions in these industries is significantly increased. Improving green technology innovation ability in thermal power, etc., air pollution-intensive industrial agglomeration areas can effectively reduce pollution in the atmosphere. The level of green technology innovation in key zones must be increased to adjust the concentration of pollution-intensive industries, improve China’s industrial structure, and reduce atmospheric environment pollution.

Research on integration of enterprise technology innovation capability based on ant colony algorithm

In the modern social economic construction and development, the enterprise's technological innovation ability directly determines the enterprise's future development level, so the current enterprise management attaches great importance to the integration of enterprise's technological innovation ability. The purpose of integration is to bring the decentralized capabilities acquired after expansion into full play, which can not only get rid of the restrictions of traditional enterprise management concepts, but also correctly deal with the problems faced by time development. This paper uses the combination of quantitative and qualitative methods, focusing on the integration of enterprise technology innovation ability, according to the basic principle of ant colony algorithm, screening the development or expansion of the technical ability, after the formation of the ability integration platform, the ability integration group, in order to optimize the comprehensive level of enterprise technology innovation.

Digital Economy, Environmental Regulation and Corporate Green Technology Innovation: Evidence from China.

Background: As human beings enter the digital age, the impact of the digital economy on environmental regulation and corporate green technology innovation (CGTI) is expanding. In order to effectively strengthen the efficacy of environmental regulation and improve the green technology innovation ability of corporate, this paper conducts in-depth research on the influence process of the digital economy and environmental regulation on the CGTI. Methods: Based on the mediating variable environmental regulation, this paper explores the influence process of the digital economy on CGTI. Combined with empirical analysis methods such as the fixed-effect model, mediating effect model, spatial model and regression analysis, the authors reveal the influence process of the digital economy on CGTI. Results: The digital economy can directly promote the improvement of the green technology innovation level of CGTI. The digital economy can indirectly affect the CGTI through the mediating variable of environmental regulation, marginal effect and spatial spillover effect. Conclusions: The digital economy and CGTI had a significant spatial correlation among different regions in China. In different regions of China, there are significant differences in the relationship between the digital economy, environmental regulation and CGTI.

Research on the Driving Factors of Technological Innovation of Technology-based Small and Medium-sized Enterprises in the Context of Energy Conservation and Emission Reduction

Energy conservation and emission reduction is an important measure to implement the Scientific Outlook on Development, promote economic restructuring and change the development mode. It is an unshirkable social responsibility of technology-based small and medium-sized enterprises (SMEs) to require the joint efforts of all citizens. Based on the current situation, this paper analyzes the influencing factors of the technological innovation ability of China's energy conservation and emission reduction enterprises from both external and internal aspects, and puts forward some suggestions.

Evaluation of Scientific and Technological Innovation Ability of Free Trade Zone Based on Random Forest Weighting Method

The scientific and technological innovation ability of the economic free trade zone is crucial to the depth and breadth of its economic development. There are too many subjective factors in the evaluation of the scientific and technological innovation ability of traditional economic free trade zones. In order to objectively evaluate the scientific and technological innovation ability of the free trade zone, this paper uses the random forest weighting method and the weighted linear combination to construct the evaluation index system, designs the evaluation model of the scientific and technological innovation ability of the free trade zone, and makes a specific analysis and evaluation based on the operation data of the economic and technological innovation ability of China’s four key free trade zones in 2020. The results show that the scientific and technological innovation ability of Guangdong economic free trade zone is the strongest, followed by Guangdong economic and trade zone, Shanghai economic and trade zone, Zhejiang economic and trade zone, and Tianjin economic and trade zone; Guangdong free trade zone has strong scientific and technological innovation ability. Compared with other free trade zones, Guangdong’s main advantages lie in the integration and aggregation ability of the industrial chain, strong policy support, and talent attraction. The scientific and technological innovation ability forms a virtuous circle. The analysis of the model example shows that the introduction of the random forest weighting method into the scientific and technological evaluation of the free trade zone can more objectively compare and analyze the scientific and technological innovation ability of the free trade zone, which is of great significance to help the free trade zone find out the problems and shortcomings in the scientific and technological innovation ability and improve the level of scientific and technological innovation.

Cultivation Design of Applied Undergraduates’ Engineering Innovation Ability Based on Virtualization Technology

The development of virtualization technology has promoted the development of computers in education, and the reform of basic education courses has promoted profound reforms in science education. The integration of virtualization technology and science teaching is an inevitable trend in the development of information technology and science education, and it is also training the inevitable requirement of talents with scientific culture and innovation ability. This article takes undergraduates as the research object and aims at the application characteristics of local higher education institutions, combined with the purpose of higher technical personnel training, application practical ability, and innovation ability, to establish a training system for college students with innovation ability suitable for engineering application undergraduate talent training mode, and improve students’ research and innovation ability and engineering practice ability. This article proposes to organically integrate virtualization technology with undergraduate students’ engineering innovation ability training courses, explore virtual technology experimental models, cognitive models, promote student self-study and student mutual learning, where students actively participate, and strengthen student innovation and creativity training. Improve the ability of design and transform teacher education into student-centered. The results of the study show that students’ innovative ability generally accounts for 56%, and the effects of innovative activities organized by schools generally account for as high as 70%. Students are generally not very enthusiastic about innovation.

Performance Analysis of Marine Ecological Environment Governance Based on DPSIR and Entropy Weight TOPSIS Model

In order to solve the global marine ecological environment problems and ensure their own marine strategic interests, we should participate in the global marine ecological environment governance in an all-round way. There are still some problems in the evaluation system, supervision mechanism, and performance evaluation of the marine ecological environment. Considering the impact and analysis on the ecological environment in the effect of marine governance, this paper puts forward the performance analysis of marine ecological environment governance based on DPSIR (Drive Pressure State Impact Response) and entropy weight TOPSIS model and constructs the performance index evaluation system of marine ecological environment governance combined with the current situation of marine ecological environment governance. Using entropy TOPSIS (technique for order performance by similarity to ideal solution) model and geographic detector, this paper explores the influencing factors of governance performance. From the perspective of marine ecological environment governance effect, the governance effect is good. The influence of pressure factors such as ecological environment, population, and economy is generally large. The main causes of marine environmental pressure are the massive amount of industrial wastewater, the utilization of water resources in coastal areas, and the employees involved in the sea. Through the factor detection method of geographic detector, the strength calculation of the three criteria of pressure-state-response which affect the performance level of marine environmental governance is carried out, and the pressure layer index, state layer index, and response layer index have good response. In marine science and technology innovation ability, government investment in marine construction has a significant impact on environmental governance performance.

Influence of Management Education on Enterprise Scientific and Technological Innovation Based on K-Means Clustering Algorithm

Scientific and technological innovation is the source of the survival and development of enterprises and the key to the realization of the goal of prosperity. In recent years, more and more companies have begun to focus on technological innovation, but the results are not significant, so companies have begun to explore the factors that affect their technological innovation. The management is the helm of the development of the enterprise, the main body of the company’s actual production activities, and the direct person in charge of the company’s management. Its influence on the innovation of the enterprise is self-evident, and the education level of the management directly determines the manager’s ability and vision. However, the current research on management mainly focuses on the position change of management and the rights of management and does not involve the level of education of management. Based on this, this article started from the management education and subdivided it with the K-means clustering algorithm, so as to explore the impact of management education on the technological innovation of enterprises. The experiment showed that there was a significant positive correlation between the educational level of management and the technological innovation ability of enterprises, and the correlation coefficient was 1.521. It fully shows that the management with a higher education background will promote the enterprise to carry out scientific and technological innovation practice and continuously improve the enterprise’s innovation ability.

Green Technology Innovation, Energy Consumption Structure and Sustainable Improvement of Enterprise Performance

In order to promote the coordinated development of social and economic development and the natural environment, high-end equipment manufacturing (HEM) enterprises should promote the sustainable development of the green economy. In this process, HEM enterprises need to strengthen the green technology innovation ability and optimize the energy consumption structure. In this way, it will be beneficial to the sustainable improvement of HEM enterprise performance. On the basis of sorting out relevant research literature, this study uses structural equation modeling and hierarchical regression analysis to systematically study the impact of green technology innovation on the continuous improvement of HEM enterprise performance. Currently, there are many difficulties in the research of this paper, such as variable selection, index measurement, empirical testing process and so on. However, based on the success of previous academic research, this paper overcame the difficulties and completed this research. In this study, the energy consumption structure is an intermediary variable, and the government policy support is a moderator variable. A relationship model of the impact of green technology innovation on the continuous improvement of HEM enterprises’ performance is constructed. In addition, the author conducts a confirmatory analysis of the relationship between multiple variables. The conclusions of this study are as follows: (1) Green technology innovation has a significant positive impact on the performance improvement of HEM enterprises. (2) Energy consumption structure plays a partial mediating role between green technology innovation and enterprise performance improvement. (3) Government policy support regulates the relationship between green technology innovation and HEM enterprise performance improvement. That is to say that the stronger the government’s policy support for green technology innovation, the stronger the green technology innovation impetus of HEM enterprises, and the better the effect of HEM enterprise performance improvement.

Research on the cultivation of green competitiveness among chinese heavily polluting enterprises under country/district environmental regulations

The development of the world economy has caused serious environmental pollution, which has resulted in an ecological crisis. With the acceleration of economic development, China’s ecological crisis is becoming more serious. Green technology innovation is an important driving force in realizing green economic development, and heavily polluting enterprises are the key link to cultivating green technology innovation. The Porter hypothesis holds that environmental regulation has a promoting effect on enterprises’ green technology innovation, but this is not reflected in the context of China. As a basic administrative unit, the implementation of environmental regulations in counties and districts determines the effectiveness of environmental policies. Utilizing structural equation modeling, this study analyzes the cultivation of the green technology innovation ability of heavily polluting enterprises under environmental regulations. The results show that command-based environmental regulation can effectively promote enterprises’ green technology innovation ability. Incentive-based environmental regulation needs to be strengthened to drive the development of enterprises’ “three wastes” treatment innovation ability. Voluntary environmental regulation does not effectively promote green process innovation and “three wastes” treatment innovation. In addition, enterprises’ current “three wastes” treatment innovation capacity is not enough to promote the improvement of enterprises’ green competitiveness. The results of this article show that environmental regulation is conducive to the green innovation ability of enterprises, and this promotion effect needs to be further strengthened. Moreover, the highlighted research limitations will contribute to the subsequent research work.

Government intervention, internal control, and technology innovation of SMEs in China.

Under the innovation-driven development strategy, the improvement of the core competitiveness of enterprises demonstrates increasing dependence on the ability of technological innovation. In this article, data of A-share listed companies in Shanghai and Shenzhen stock markets from 2008 to 2018 were selected as research samples for the analysis of the influencing factors and mechanism of enterprise technological innovation from the dual perspectives of the external economic environment and internal management system based on the use of the fixed-effect model. The results show that government intervention significantly hinders enterprises' investment in resources for technological innovation, and less government intervention can improve the innovation investment of enterprises. The intervention of internal control fails to bring institutional advantages; rather, it aggravates the negative effect of government intervention on enterprise technological innovation. The research enriches the existing academic research results on government intervention, internal control quality, and enterprise technological innovation. The findings provide experience for accelerating the marketization process in China, enterprise governance, and improving the level of enterprise technological innovation.

An Empirical Analysis on the Impact of Innovation Network Structure on Crossover Innovation Performance of Emerging Technologies.

The crossover innovation springing up in emerging technologies has drawn wide attention from scholars. Innovation network, as an effective way for major innovation-driven entities towards less relevant risks and higher efficiency, can significantly affect the crossover innovation performance. This paper analyzes the evolution law of the innovation network of autonomous driving technology based on the Social Network Analysis (SNA) and by using the data on joint applications for invention patents of such technology during 2006–2020. Furthermore, the structural eigenvalues of the network evolution are calculated for the regression analysis of the relationship between network structure and crossover innovation performance. The empirical results show that network centrality, structural hole, and relationship intensity have a positive effect on crossover innovation performance of emerging technologies, while network clustering has a negative effect. Emerging technology enterprises should constantly improve their technological innovation ability, improve their status and influence in the innovation network, establish cooperation with appropriate innovation partners, further expand their own technical knowledge fields, and obtain innovation resources by optimizing the network structure so as to enhance the crossover innovation performance.

Spatiotemporal Evolution and Driving Mechanisms of Water Footprint with Input-Output Paradigm: A Case Study of China

The evaluation and quantification of water consumption based on water footprint (WF) is important for sustainable utilization of water resources and is becoming one of the key bases for formulating water resources management policies. However, there are few systematic assessments of both temporal changes and spatial patterns of WF in China, and the driving of water footprint intensity (WFI) is rarely reported. Based on the research background, this paper takes China, the world’s largest developing country, as an example to analyze the spatiotemporal evolution of WF through the input–output model. The total WF in China increased by 11.76% from 2002 to 2017. National WFI decreased from 550 m³/104 yuan (2002) to 152 m³/104 yuan (2017). The regions found to have the highest WF in China include Shandong, Henan, and Hebei, and regions with higher WFI are distributed in East China. From 2002 to 2017, the total WF of each province in China changed significantly. Guangdong, Fujian, and Zhejiang provinces’ total WF decreased markedly during the study period. The results show that the grain output per capita and GDP per capita have a significant driving effect on WFI. By adjusting the agricultural structure and improving the comprehensive ability of scientific and technological innovation, it is possible to reduce the WFI in China.

China's logistics green competitiveness promotion path: a fuzzy-set qualitative comparative analysis approach.

Increasingly serious environmental problems are forcing many industries to gradually turn to green development, and green competitiveness has become the vision of policymakers and industry practitioners. The impact of the development of the logistics industry on the environment cannot be ignored, but the promotion path of its green competitiveness has not been fully studied. Based on Porter's diamond model, this study uses fuzzy-set qualitative comparative analysis to explore the condition configuration of the logistics industry in 30 provincial regions in mainland China to enhance green competitiveness and effectively combine theory with practice. Factors considered include logistics technology innovation ability, logistics market demand, proportion of tertiary industry, management level of logistics enterprises, environmental regulation, and the internet. The results show that the green competitiveness of the logistics industry is influenced by many factors and cannot be sufficiently explained by a single factor. The findings point to three paths with equal authenticity to improve the green competitiveness of the logistics industry. By comparing the same types of high configuration and low configuration, this study finds that environmental regulation is an important external driving force for regions with low added value of output products, and for regions with certain geographical advantages and numerous logistics enterprises, in addition to the management level of logistics enterprises, support from the internet is also particularly important in improving the green competitiveness of logistics. These findings can provide a practical reference for the promotion of green competitiveness in the logistics industry in different regions.

Can green technology innovation improve enterprise performance?

This paper uses 2015-2018 Shanghai and Shenzhen A-share listed companies and seven resource-based industries as the research objects, empirically tests the impact of green technology innovation on enterprise performance, and confirms the impact of market competitiveness as an intermediary variable. The results show that green technology innovation can significantly improve the performance of enterprises, which is reflected in financial performance and environmental performance. As a measure of the importance of enterprises in the market, market competitiveness also significantly affects the performance of enterprises. It can be seen that enterprises' improvement of green technology innovation ability is conducive to the unity of environmental protection and economic efficiency.

Digital Finance, Environmental Regulation, and Green Technology Innovation: An Empirical Study of 278 Cities in China

Digital finance provides a premises guarantee for green technology innovation, and effective environmental regulation helps to achieve green and sustainable development. This article selects Chinese urban panel data from 2011 to 2019 to explore the impact mechanism of the influence of digital finance and environmental regulation on the innovation capacity of green science and technology. It is found that extensive financing channels and the strong information-matching ability of digital finance have a significant promoting effect on local green science and technology innovation. Moreover, government environmental regulation not only facilitates the development of green technology innovation locally and in nearby regions, but also strengthens the utility of digital finance in driving green science and technology innovation. Further research found that the influence of digital finance and environmental regulation on the ability of green science and technology innovation has regional heterogeneity, and only digital finance in Central China can promote green science and technology innovation in both local and adjacent areas. Therefore, the government should continue to promote the development of digital finance, optimize environmental regulations by increasing environmental protection subsidies and creating a green innovation environment, and further stimulate willingness to innovate green technologies. At the same time, it is also important to note the coordinated development and governance with neighboring regional governments.

Linqu County Scale Above Industrial Enterprises Scientific and Technological Innovation Ability Steadily Improved

<p>At the present stage, in order to make the Linqu County scale above industrial enterprises scientific and technological innovation ability to be improved.Linqu County strive to build a wide benefit, efficient and coordinated innovation support policy system, give full play to the effectiveness of tax policy, maximize the innovation potential of the whole society, for the county new growth energy conversion cast a strong innovation engine.</p>

Environment Regulation and Green Total Factor Productivity: A Case Study in the Yellow River Basin

<p>From the perspective of the dual effects of cost and technological innovation, the impacts of two types of environmental regulations and their synergistic effects on green total factor productivity are analyzed. Research shows that: the command type, market-oriented green total factor productivity improvements of the basin show a positive role in promoting, at the same time, market-oriented regulation strength instead of their own technological innovation ability in the work together in the valley of green in the process of the total factor productivity improvements, cooperate efforts to achieve better coordination between them, realize the coordinated development.</p>