Level Of Technological Innovation Research Articles

Spatial Correlation Structure and Influencing Mechanism of Development Level of Zero-waste Cities in China

Based on the entropy weight TOPSIS method to measure the development level of "zero-waste cities" in China from 2004 to 2021, the social network analysis method and spatial Durbin model were used to explore the spatial correlation network structure and impact mechanism of the development level of "zero-waste cities." The results showed that： ① The development level of "zero-waste cities" was generally on the decline in the whole country and the eastern and central regions. However, it was on the rise in the western regions. ② The spatial correlation of the development level of "zero-waste cities" presented a core-edge structure, with an overall upward trend in network density and a stable state in the overall network. ③ Beijing, Shanghai, Jiangsu, Zhejiang, Fujian, and Guangdong were at the center and dominant position of the network. ④ Beijing, Tianjin, Shanghai, and Jiangsu belonged to the "net benefit" sector； Zhejiang, Fujian, and Guangdong belonged to the "broker" sector； and the other provinces belonged to the "net overflow" sectors. ⑤ The level of urbanization, economic development, technological innovation, foreign investment, environmental regulations, government intervention, and population size had a significant impact on the development level of "zero-waste cities" in local or neighboring provinces, respectively. The research results can provide a reference for the proposal of policies for constructing and coordinating the development of "zero-waste cities" in various regions.

Spatial-temporal coupling and interactive effects of digital finance and green technology innovation: Empirical evidence from China

Digital finance (DF) and green technology innovation (GTI) are vital components of China's high-quality economic development. Therefore, exploring the coupling coordination relationship between these two systems holds significant importance for China's economic development. Utilizing panel data spanning from 2011 to 2020 across 30 Chinese provinces, this study utilizes the coupling coordination model to assess the coupling coordination degree (CCD) between these two systems, and employs spatial autocorrelation analysis and the panel vector autoregression (PVAR) model for a more in-depth quantitative analysis of their coupling coordination relationship. The findings indicate that: (1) The comprehensive level of digital finance and green technology innovation in our country shows a year-on-year increasing trend, and the level of digital finance is higher than that of green technology innovation. (2) The coupling coordination degree between these two systems is generally on the rise but hasn't reached a high level. Furthermore, notable developmental variations exist among different regions. (3) There is a positive spatial correlation in the coupling coordination degree between these two systems. (4) While these two systems can mutually promote each other, the positive impact of digital finance on green technology innovation is greater than the positive impact of green technology innovation on digital finance. Therefore, this study will provide valuable references for the balanced development of these two systems, as well as the formulation of regional development strategies.

Impact of auditing information technology modernization on corporate technological innovation investment: The roles of risk perception and internal control

This paper uses China's Golden Audit Project as a quasi-natural difference-in-differences experiment to empirically test the impact of the increasingly information technology-dependent national audit process on corporate technological innovation. The empirical results indicate that the process significantly increases the level of corporate technological innovation, which is amplified by improving the level of internal controls. These conclusions have important implications for understanding the economic consequences of improved auditing technology.

Study on the Limitations of Economic Digitalization and Development Strategies under the New Development Strategy

With the rapid development of the digital economy and the rise of the industrial Internet, China has made significant progress in terms of industrial competitiveness and industrial innovation and development. However, China's capacity for independent technology innovation must be improved. Firstly, China's independent innovation capacity in key core technology areas could be more robust. This mainly manifests in China's reliance on imported technologies and equipment in high-end manufacturing and emerging industries. Although China has made certain technological breakthroughs in specific fields, there is a particular gap between China and the international advanced level. Secondly, the investment in technological research and development of Chinese enterprises must be increased. Although the R&D investment of Chinese enterprises is gradually growing as more attention is paid to scientific and technological innovation, there still needs to be a significant gap compared with developed countries. In particular, the R&D investment of small and medium-sized enterprises is relatively low, resulting in the overall level of independent technological innovation not being high. Again, China needs to strengthen the protection of intellectual property rights. For a long time, the construction of China's intellectual property protection system has been lagging, and the problem of intellectual property infringement is relatively prominent, which has formed a particular obstacle to independent technological innovation. Therefore, studying economic digital development restrictions and development strategies has profound theoretical and practical significance in the new development pattern.

Bond market liberalization, technological innovation and firms' position in the global value chain division of labor

Based on the annual data of Chinese listed enterprises from 2004 to 2016, this paper investigates the impact of the opening up of the bond market on the division of labor position of enterprises' global value chains. It is found that the opening up of bond market mainly enhances the division of labor position of enterprises' global value chain by influencing the level of enterprises' technological innovation. The results of mechanism test show that the opening of bond market to the outside world can help enterprises to increase R&D investment, improve technological innovation level and realize the upgrading of the division of labor position in global value chain by alleviating the financing constraints of enterprises and intensifying the competition among enterprises. Heterogeneity analysis shows that the opening up of bond market has a better effect on the GVC status of enterprises in the central and western regions than that of enterprises in the eastern regions.

Study on the Limitations of Economic Digitalization and Development Strategies under the New Development Strategy

With the rapid development of the digital economy and the rise of the industrial Internet, China has made significant progress in terms of industrial competitiveness and industrial innovation and development. However, China's capacity for independent technology innovation must be improved. Firstly, China's independent innovation capacity in key core technology areas could be more robust. This mainly manifests in China's reliance on imported technologies and equipment in high-end manufacturing and emerging industries. Although China has made certain technological breakthroughs in specific fields, there is a particular gap between China and the international advanced level. Secondly, the investment in technological research and development of Chinese enterprises must be increased. Although the R&D investment of Chinese enterprises is gradually growing as more attention is paid to scientific and technological innovation, there still needs to be a significant gap compared with developed countries. In particular, the R&D investment of small and medium-sized enterprises is relatively low, resulting in the overall level of independent technological innovation not being high. Again, China needs to strengthen the protection of intellectual property rights. For a long time, the construction of China's intellectual property protection system has been lagging, and the problem of intellectual property infringement is relatively prominent, which has formed a particular obstacle to independent technological innovation. Therefore, studying economic digital development restrictions and development strategies has profound theoretical and practical significance in the new development pattern.

The impact of digital economy on China’s green-oriented transition of energy: multiple mediation effects from a spatial perspective

With the continuous advancement of the new generation of information technology revolution, digital economy is gradually becoming an important driving force for energy transition while restructuring the new form of the economy. This paper selects panel data of 30 provinces in China from 2011 to 2021, empirically verifies the special impacts of digital economy on green-oriented transition of energy by using the spatial Durbin model, and further constructs a multi-intermediary model to verify its transition pathways. The main findings are as follows: First, the overall level of green-oriented transition of energy in China’s eastern coastal areas is relatively high, and the western regions have been more capable of catching up in recent years. Second, digital economy has played a significant role in promoting green-oriented transition of energy, and there is a positive spatial spillover effect. Third, digital economy could indirectly promote the green-oriented transition of energy by promoting the upgrading of industrial structure, improving the level of technological innovation and strengthening environmental regulations. This study provides empirical insights and reference for policymakers in accelerating the comprehensive green-oriented transition of energy.

Study on the path of high-quality development of the construction industry and its applicability

Exploring the influencing factors and enhancement paths of high-quality development of the construction industry is crucial for promoting sustainable development of the construction industry. Based on the concepts of “five development”, this paper takes the construction industry data of 29 provinces (autonomous regions and municipalities) in China as a sample, utilizes comprehensively the combination method of NCA and fsQCA to build a high-quality development driving model of the construction industry, and explores the coupling effect of factors, like the level of scientific and technological innovation, structural degree, precast building model, external market vitality, resources, and environment, on the development of the industry, revealing the path of high-quality development of the construction industry and analyze its applicability. These findings demonstrate that: (1) The level of scientific and technological innovation, the degree of structure, and the vitality of the external market are the core conditions, and a single factor does not constitute the necessary conditions for the high-quality development of the construction industry; (2) There are three paths for the high-quality development of the construction industry, among which the number of representative cases of linkage development led by openness innovation coordination is the largest, and has strong applicability; (3) There are two non-high-quality development paths in the construction industry, and there is a non-simple opposition relationship with the three high-quality development paths in the construction industry.

How does green credit affect industrial green transformation? Mechanism discussion and empirical test

Sustainable development has become a strategic consensus in response to the global environmental problems. Green credit is a major policy innovation that promotes the transformation of economic development mode and industrial green transformation (IGT). Using provincial panel data from 2005 to 2020, we investigate the effect of green credit on IGT using a systematic GMM model, a dynamic threshold model, as well as the possible nonlinear relationship. Benchmark regression results show that green credit can encourage industrial green transformation. In addition, there is a single green credit threshold with a value of 0.2612. The trend is “negative to positive”. According to the moderating effect results, environmental regulation moderates in a negative manner. As environmental regulations become more stringent, the contribution of green credit to IGT will diminish. The intermediary mechanism test demonstrates that green technology innovation and marketization level play a partial intermediary role. Heterogeneity testing confirms that the function of green credit in promoting industrial green transformation is more significant in regions with a higher level of green finance development and a lower degree of government intervention. Therefore, the government should encourage financial institutions to provide green credit products and services to meet the financing needs of different green projects, thereby facilitating the industrial green transformation.

Does green technology innovation promote green economic growth? –Examining regional heterogeneity between resource-based and non-resource-based cities

Using the radial Direction Distance Function (DDF) Golbal-Malmquist-luenberger (GML) index to calculate the growth efficiency of all-factor green economy, 262 resource-based and non-resource-based cities in China from 2003 to 2018 were taken as samples. The effects of green technology innovation on the growth efficiency of green economy and its heterogeneity are discussed through the fixed-effect model, and the internal influencing mechanism between resource dependence, green technology innovation and green economy growth in resource-based areas is further tested. The results show that: under the whole sample, green technology innovation has an “inverted U-shaped” nonlinear effect on the efficiency of green economy. Green technology innovation promotes the growth of green economy, However, with the continuous improvement of the level of green technology innovation, its marginal effect on the efficiency of green economy growth decreases. In the heterogeneity analysis of resource-based cities and non-resource-based cities, it is found that the impact of green technology innovation on green economic growth in resource-based cities is greater than that in non-resource-based cities. In the heterogeneity analysis of different resource-based cities, it is found that green technology innovation of growing and mature resource-based cities will significantly promote the growth of green economy. The mechanism test shows that the dependence of resource-based cities on natural resources will have a “crowding out effect” on human capital investment and science and technology investment.

Environmental regulation, green technology innovation and green logistics development level of fresh agricultural products

ABSTRACT Based on the Porter hypothesis theory, this article aims to explore the relationship between environmental regulation and the development level of green logistics of fresh agricultural products, as well as the intermediary role of green technology innovation. The entropy method and SGMM are respectively used to measure the development level of green logistics of fresh agricultural products and verify the research hypothesis. We demonstrate that there is a nonlinear relationship between environmental regulation and green logistics development level of fresh agricultural products, and green technology innovation plays an intermediary role. Finally, we propose suggestions for the sustainable development of fresh produce logistics from logistic entities and the government. This article clarify the interaction mechanism among environmental regulation, green technology innovation and the development level of green logistics of fresh agricultural products, and provide empirical basis for the improvement of the development level of green logistics of fresh agricultural products through green technology innovation.

Partially ordered set evaluation of logistics competitiveness of coastal port cites considering carbon emissions

Aiming at the problem of logistics competitiveness of coastal cities, a logistics competitiveness evaluation method based on weighted and partially ordered set combinations is proposed. Carbon emissions and inhalable pollutant concentrations are included in the evaluation scope, and an evaluation index system for the logistics competitiveness of 17 coastal port cities is constructed. The results show that: (1) the competitiveness of the logistics industry in 17 coastal port cities in China has been continuously improved, and the catch-up effect of logistics industry development in coastal port cities such as Shenzhen, Ningbo and Qingdao is obvious. The competitiveness level of the logistics industry shows an obvious spatial imbalance. (2) The competitiveness of the logistics industry in Yingkou, Beibu Gulf and other coastal port cities is low, and the difference in competitiveness of the logistics industry in coastal port cities is the main reason for the overall imbalance. (3) The technological innovation, openness and economic development level of the city and the hinterland have a positive impact on the competitiveness of the logistics industry, and the level of economic development has the greatest contribution to the variance of the competitiveness of the logistics industry. The logistics competitiveness of 17 cities is ranked and classified. The leading cities have core diffusion effects and promote the development of the competitiveness of each city. Suggestions on improving the competitiveness of cities are conducive to the high-quality development of China’s logistics industry.

The industrial internet and green technology innovation

This study selects a sample of A-share listed companies in China's heavy pollution industry from 2014 to 2022 to examine the impact of the industrial Internet on enterprises’ green technology innovation. Based on the findings, the application of the industrial Internet not only improves the level of green technology innovation among enterprises in China's heavy pollution industry, but it also improves their organizational capacity to promote such innovation. In addition, the application of the industrial Internet is more conducive to the improvement of green technology innovation in state-owned enterprises, compared to private enterprises.

The global production pattern of the semiconductor industry: an empirical research based on trade network

Semiconductors are an important electronic component and play a central role in many industrial fields, whose production system is spread all over the world, involving trade in many raw materials, mechanical equipment, and finished products. Comprehending a broad global production picture of the semiconductor industry can be an arduous task. To tackle this complexity, the social network analysis method was used to capture the flows of products between economies in the semiconductor industrial chain. This study analyzed the evolution of the trade pattern of four key commodities in the semiconductor industrial chain, with a focus on identifying the status of major economies in the global semiconductor trade system. Additionally, the influencing factors of the formation of the trade networks were explored by using the Exponential Random Graph Model. The results showed that: (1) From 2001 to 2019, the import and export trade pattern of four key commodities in the semiconductor industrial chain has shown the characteristics of “rising in the east and decreasing in the west”, but the change range shows strong commodity heterogeneity, the change of the spatial pattern of integrated circuits trade is the most significant, and the integrated circuits trade proportion of Asian economies has increased hugely with more than 80%. (2) The trade connectivity of various commodities in the semiconductor industrial chain has increased, upstream support products with high technical requirements such as wafers and equipment have the lowest average degree and weak trade liquidity, and the average degree of trade network of packaging materials and integrated circuits is relatively high, with strong trade liquidity and closer and more prosperous trade connections. (3) From 2001 to 2019, the “core-periphery” system of global semiconductor industry trade has changed significantly, with the core circle undergoing obvious iterative reorganization. for example, China and Singapore have achieved status improvement to the core circle in the base materials trade network, while Malaysia has been squeezed into the semi-peripheral circle. (4) The formation of trade networks of various commodities in the semiconductor industrial chain was driven by three aspects: network self-organization, exogenous endowment attribute, and exogenous network embeddedness. Among them, the influence of the technological innovation level of economies on different commodity trade networks showed heterogeneous.

How Does Foreign Direct Investment Impact the Sustainable Development? Empirical Evidence from China’s Coastal Areas

As one of the important driving forces of sustainable development in coastal areas, foreign direct investment (FDI) has provided new ideas for exploring optimal strategies. This analysis explores the linear impact of FDI on sustainable development in coastal areas with 53 cities in China from 2012 to 2020. Accordingly, a dynamic panel smoothed transition regression (PSTR) model is used to analyze the non-linear impact of FDI on sustainable development, with transition mechanisms of industrial structure and technological innovation level. The findings reveal that the non-linear effect of FDI on the sustainable development of coastal areas is obvious. When the coastal area’s industrial structure is more optimized, and the level of technological innovation is higher, the promotion effect of FDI on sustainable development is more obvious. Further, the threshold effect of industrial structure and technological innovation is different. The threshold conversion rate of industrial structure is faster, but the threshold effect of technological innovation is stronger. Regionally, the impact of FDI on the sustainable development of coastal adjacent areas is significant, but not on the sustainable development of inland areas due to the few FDI inflows. This analysis offers guidance for policymakers to further develop the tertiary industry, increase financial investment in innovation in coastal areas and encourage enterprises to improve their independent innovation capacity.

Impact of green finance on China's pollution reduction and carbon efficiency: Based on the spatial panel model

Green finance is an important means to promote the construction of ecological civilization and plays an important role in promoting the coordinated governance of pollution and carbon reduction. Based on the panel data of 277 cities at or above the prefecture level in China from 2006 to 2021, this study calculates the development level of green finance and the synergistic efficiency of pollution and carbon reduction. In addition, this study constructs the driving distance matrix. The study uses the spatial Durbin model to conduct an empirical test on the spatial effect and transmission mechanism of green finance on the synergistic efficiency of pollution and carbon reduction. Results show that: (1) A significant spatial difference exists between the development level of green finance and the collaborative efficiency of pollution and carbon reduction in China from 2006 to 2021. Moreover, the high-value areas of the two are concentrated in the eastern and southeast coastal areas, respectively; (2) The development of green finance has a positive spatial spillover effect on the collaborative efficiency of pollution and carbon reduction. The conclusion remains after a series of robustness tests, that is, green finance has a significant positive promoting effect on the collaborative efficiency of pollution and carbon reduction between the city and its neighboring cities; (3) The development of green finance can promote the improvement of the collaborative efficiency of pollution and carbon reduction by improving the level of green technology innovation and the advanced level of industrial structure, that is, the two play an intermediary effect. The conclusions of this study provide experience for an in-depth understanding of the environmental governance effect of green finance and actively guide financial resources to participate in the collaborative governance of carbon pollution.

The Effect of Market-Based Environmental Regulations on Green Technology Innovation—The Regulatory Effect Based on Corporate Social Responsibility

This study explores the impact of market-based environmental regulations on green technological innovation and the differential regulatory effects of corporate social responsibility (CSR) on different levels of green technological innovation. By analyzing data from 746 Chinese A-share listed companies from the period of 2008–2021, this paper examines the effect of market-based environmental regulations on corporate green technology innovation. The research findings are as follows: (1) Market-based environmental regulations have a significant promoting effect on green technology innovation in enterprises. (2) CSR amplifies the positive influence of market-based environmental on green technological innovation, but it has a greater impact on strategic innovations, like utility model patents, rather than substantial ones, like invention patents. Corporate may use CSR to superficially meet regulatory pressures and stakeholder expectations, focusing more on short-term compliance than on long-term sustainable innovation. Companies might utilize CSR as a superficial means to appease regulatory demands, concentrating on immediate compliance rather than fostering enduring innovation. (3) Market-based environmental regulations facilitate green technological innovation by alleviating enterprise financing constraints and improving the efficiency of innovation resource allocation. (4) The promotion effect of market-based environmental regulations on green technological innovation is particularly evident in state-owned enterprises, heavily polluted industries, and regions with high regulatory levels. The research contribution is to provide valuable insights into the implementation of market-based environmental regulations and firms’ green technological innovation. Specifically, it elucidates the nuanced regulatory effects of corporate social responsibility, presenting a fresh lens through which to reconsider the intricate mechanism of CSR’s role as a conduit between environmental policy and innovative practices.

Characterization of the Innovation Management of the Hotel Portoviejo

Purpose: The purpose of the research is aimed at characterizing the innovative behavior of a city hotel in Portoviejo based on the low level of technological innovation. Theoretical Framework: Innovation transcends all organizations, the traditional interpretation of the concept related to patents and inventions has gone down in history. Today in the business world of high competitiveness and high uncertainty the maxim is: innovate or perish. What this work proposes is related to the management of innovation, but not in manufacturing, but in services, where the technological level also increases dramatically, and high qualifications and careful customer service are required. The applied model is based on the functions of Technology and Innovation Management (GTI), these are: technology inventory, technology enrichment, technology optimization, technological evaluation, and technology protection. Method: The research is qualitative and quantitative with an exploratory and descriptive study with a non-experimental design and the Technology and Innovation management model is supported by the MINGI SOFWARE, which is based on the functions of the GTI and presents tools that characterize and evaluate the process. innovative. In this study, the analysis of business perspectives, the determination of the business model (Traditional or innovative), and the innovative culture of the Hotel are determined as innovative tools. Results and Conclusion: As a result, an innovative characterization of the accommodation, restoration and recreation processes is obtained; concluding that the hotel follows traditional management practices, its business perspective is aimed at sales and not the market and its innovative culture is low, hence to achieve a sustainable service process it must establish an action plan that allows the breaking of the gaps to reach a higher stage with good innovation management practices. Implications of the Research: The main contribution is in the application of the GTI characterizing tools in Ecuador and the projection necessary to increase the innovative intensity in the hotel activity. Originality/Value: The work presents originality, since the model has not been applied in South America and can contribute to good socio-environmental management practices in the hotel business.

CORPORATE FINANCIALIZATION AND GREEN TECHNOLOGY INNOVATION: EVIDENCE FROM CHINESE-LISTED MANUFACTURING COMPANIES

We examine the relationship between corporate financialization and green technological innovation using data on manufacturing companies during 2007–2020. We find that corporate financialization reduces the level of green technology innovation. Heterogeneity analysis demonstrates that financialization’s impact on green technological innovation varies across different enterprise types, especially for private enterprises, high-tech enterprises, and enterprises in eastern and western regions. Moreover, financial constraints will strengthen the influence of financialization on green technological innovation while managerial myopia will weaken the influence of financialization. The empirical insights advance our understanding of the relationship and mechanisms between financial asset investment behavior and green technological innovation in manufacturing enterprises.

Investigating the impact of artificial intelligence development on water pollution in China

Analysing the impacts of AI development on water pollution is of great significance for improving water environment management measures and promoting global sustainable development. In this study, macro and micro panel data of China from 2008 to 2019 were used to measure the development level of AI at the industry and provincial levels in China, and a panel data regression model was constructed to analyse the effects of AI development on water pollution and regional heterogeneity. The measurement results show that the development level of AI is increasing. Among the six industries, the intelligence level of the manufacturing industry has developed the fastest, by approximately 48.74 times compared with the baseline. At the provincial level, Guangdong Province made the greatest progress in intelligence level, increasing by approximately 23.6 times. The regression results show that AI technology is helpful in reducing the level of water pollution, and this conclusion remains valid after the regression of instrumental variables and robustness testing. In terms of regional heterogeneity, AI technology can significantly reduce the degree of water pollution in eastern and western China. However, the development of AI technology in the central region has no significant impact on water pollution, and a risk of increasing the degree of water pollution exists. The reasons may be that the eastern region has high levels of economic vitality and technological innovation and a strong ability to transform AI achievements, which can significantly improve the water environment. Industrial support policies in the western region are strong, and the application of AI can quickly improve production methods and significantly reduce water pollution levels. In comparison, the levels of economic development, technological innovation, and policy support in the central region need to be strengthened, so the environmental effect of AI is not significant.