Technological Innovation Activities Research Articles

Does the level of corporate finance affect corporate technological innovation?

As the main way for enterprises to obtain funds, the level of financing directly determines the amount of resources available for technological innovation. In this paper, we conduct an empirical research method based on the data of Chinese listed companies from 2009-2023 to explore in depth the impact of the level of corporate financing on the technological innovation activities of enterprises. It is found that there is a significant positive correlation between the level of corporate financing and its technological innovation capability. The empirical findings of this paper provide strong evidence for understanding the impact of the level of corporate finance on technological innovation, and provide useful references for enterprises to formulate scientific financing strategies and technological innovation planning.

Can government-guided funds promote corporate technology innovation? Evidence from the new energy automobile industry

A government-guided fund is a crucial policy instrument for fostering innovation in the new energy automotive industry. This article examines the stimulating impact and underlying mechanisms of government-guided funding on A-share new energy automotive listed firms from 2012 to 2022, using a difference-in-differences (DID) model. The finding suggests that government-guided funds can effectively stimulate corporate technology innovation activities. Mechanism tests reveal that government-guided funds can encourage corporate innovation by alleviating financial constraints and attracting research and development experts. Additionally, government-guided funds have varying effects on the technology innovation of different types of enterprises within the new energy automobile industry chain, including upstream, midstream, and downstream companies. The study's findings have specific policy implications for increasing government-guided fund assistance and optimizing fund investment direction.

The Effects of Government Subsidies and Tax Incentives on Technological Innovation: Based on the Enterprise Life Cycle Perspective

Government subsidies and tax relief are important means of national strategic regulation and control, which effectively promote the technological innovation and development of enterprises. With the effective implementation of the national innovation-driven development strategy in recent years, it is of great significance to fully stimulate the technological innovation activities of enterprises. To encourage technological innovation of enterprises, government departments have formulated a series of preferential policies and increased the support for enterprises, among which government subsidies and preferential tax policies have played an important role. Based on the perspective of the life cycle, this paper analyzes the impact of government subsidies and preferential tax policies on different stages of the enterprise life cycle based on theoretical analysis and practical investigation. This paper probes into the influence mechanism of government subsidies and tax incentives on promoting technological innovation of enterprises, and puts forward some suggestions to improve it, to provide ideas for the future development of enterprises.

Evolutionary Game-Based New Energy Vehicle Supply Chain Strategies That Consider Carbon Reduction and Consumers’ Low-Carbon Preferences

The rapid development of the new energy industry has intensified the competition among companies. Finding solutions to achieve technological innovation, carbon reduction, and to earn consumers’ confidence has become a pressing challenge. In this research, we aim to develop a four-party evolutionary game model involving government, manufacturers, dealers, and consumers to examine the strategic decisions made by these parties in order to accomplish carbon emission reduction goals. We will perform numerical simulations to analyze the strategic choices of each party and the relevant influencing factors. The results suggest the following: (1) The tax hike on traditional car production is less than the innovation expenses for new energy vehicles, leading manufacturers to lean towards manufacturing traditional vehicles. (2) The rise in taxes resulting from the manufacture of conventional vehicles will influence manufacturers’ strategic decisions, whereas the expenses related to technological advancements will have a more significant effect on manufacturers’ strategic choices. (3) Compared to dealers, manufacturers’ strategic choices are more significantly influenced by consumers’ awareness of low-carbon preferences. (4) In the early stages of technological innovation, the government typically offers incentive subsidies to manufacturers to boost technological innovation activities. Whereas, in the later stages of technological innovation, the government usually provides direct subsidies to consumers to encourage the market acceptance and widespread use of innovative products.

Strategic Choices of General Contractors in the Context of China’s Industry Chain of Construction Industrialization

Amidst the challenges of economic downturn and construction industrialization, the profits obtained by general contractors through comparative advantage strategies are slowly decreasing, and thus, new strategic choices are required. The collaborative division of labor effect in the industry chain can improve profits and labor productivity, which is an important driving force for enterprise transformation and development. Therefore, a need arises to improve the profits of general contractors in the industrial chain system composed of prefabricated component suppliers, general contractors, and building development enterprises. Accordingly, this paper constructs a backward integration, forward integration, and bidirectional integration Stackelberg game model based on the proportion of resource investments, with general contractors as the main decision-making body. It then compares and analyzes the optimal decision-making values in different situations to study the optimal strategic decision-making problem of general contractors. Research results indicate the following. (1) All three integrated strategies can improve the profits of general contractors. When the proportion of resource investment meets certain conditions, the profits of general contractors under the bidirectional integration strategy are the highest, while the sustainable performance of the industrial chain and prefabricated buildings can be increased and the coordination of the industrial chain can be achieved. Thus, it is the best choice for a general contractor. (2) As a prefabricated component supplier needs to carry out continuous technological innovation activity to obtain a cumulative effect, the return on investment of forward integration is less than that of backward integration. (3) General contractors may consider choosing to carry out bidirectional integration strategies of forward integration followed by backward integration.

Spatial differentiation and driving factors of scientific and technological innovation efficiency under the background of the digital economy

Scientific and technological innovation (STI) activities are facilitated under the influence of the digital economy and depend on digital elements to support innovation activities. This study measures digital element inputs and outputs using data related to the digital economy and estimates STI efficiency in 29 provincial regions in mainland China from 2010 to 2021 employing the global super-efficiency slacks-based measure (SBM) model. Then, spatial characteristics and driving forces of STI efficiency are quantified using spatial autocorrelation and geographic detectors. The results reveal that STI efficiency exhibits a fluctuating, W-shaped pattern, and the spatial correlation effect shows a gradually declining trend from 2010 to 2021. The findings reveal that the core drivers of STI efficiency are digital financial development, e-commerce development, digital access level, and related factors. Therefore, strengthening inter-regional innovation links, promoting the construction of 5 G mobile internet and accelerating the integration of digital industries into traditional industries are recommended.

The Impact of digital finance on rural energy poverty-empirical evidence from rural China

It is of critical importance to address energy poverty in rural areas if inclusive prosperity is to be achieved. Digital finance offers new opportunities to alleviate energy poverty in these regions. However, previous studies have mainly focused on the impact of digital finance on poverty, neglecting research on its impact in rural areas and on specific forms of poverty. This study aims to fill this gap by investigating the impact of digital finance on rural energy poverty. The period 2011–2021 was selected as the observation period, with 31 provinces serving as the study objects. The fixed effects model was employed to investigate the impact of digital finance on rural energy poverty, while exploring the mediating effect. The results indicate that digital finance alleviates the level of rural energy poverty, and this conclusion remains valid following a series of robustness tests. Furthermore, digital finance can indirectly alleviate rural energy poverty through technological innovation and agricultural entrepreneurship activities. Further research indicates that the impact of digital finance on rural energy poverty is more pronounced in regions with abundant human capital, robust government intervention, and minimal urban–rural disparities. This study extends the theoretical support for digital finance to indirectly support rural energy to alleviate poverty. Likewise, this finding provides a new perspective for the government and relevant departments to improve the welfare of residents and alleviate rural energy poverty.

Do global innovation networks influence the status of global value chains? Based on a patent cooperation network perspective

Under the impact of economic globalization, the internationalization of production and trade has given rise to global value chains (GVCs) and global innovation networks (GINs); however, few studies have explored the link between these two networks. This paper constructs a global innovation cooperation network based on patent cooperation data and then analyzes the impact of different network characteristics on improving global value chain status. Empirical research shows that the characteristics of GINs significantly affect GVC status; the higher the eigenvector centrality and network connectivity, the higher the country’s GVC status. Moreover, a higher degree of constraint is associated with a lower GVC status for the country concerned. The heterogeneity analysis further reveals apparent differences in the impact of GINs on different countries, manifesting as a catalytic effect in developed countries and as a disincentive in emerging economies; the effect is less apparent in developing countries. This paper provides theoretical support for the development of technological innovation activities and provides a reference for government departments to formulate policies on cross-border technological innovation cooperation.

Environmental Regulations, Green Technological Innovation, and Green Economy: Evidence from China

With the advancement of the green economy, the influence of the environmental regulations on green technological innovation and the green economy is increasingly expanding. This paper investigates the impact of the environmental regulations and corporate green technological innovation on the green economy. We hope to explore how the environmental regulations affect the green economy through corporate green innovation. Thus, the research aims to enhance our understanding of the impact of the environmental regulations on the green economy. By incorporating the fixed-effects models, mediation models, spatial models, and regression analysis, this paper unveils the impact process of the environmental regulations on the green economy. The research findings are as follows: (1) The environmental regulations show the direct capacity to facilitate the elevation of the green economy. (2) Through the mediating variable of corporate green technological innovation, the environmental regulations could indirectly enhance the green economy. (3) Significant spatial correlations exist between the environmental regulations and corporate green technological innovation activities across the different regions in China. (4) Substantial disparities are evident in the relationships among the environmental regulations, green technological innovation, and the green economy across the various regions in China. The findings presented in this paper serve to broaden the scope of research on the relationship between the environmental regulations and the green economy. Moreover, it offers essential insights for the relevant government authorities and businesses in formulating management policies.

Cross-market innovation: the dynamics of latecomer catching-up model from new Chinese electric vehicle OEMs

ABSTRACT Mainstream technology catching-up studies only focus on how latecomers assimilate the acquired technology from the developed countries in its home countries, paying little attention to their technology innovation activities directly in the developed countries and the interactions between developed and developing countries to overcome first-mover advantages and catching-up with incumbents. This study examines the practices of the rapidly rising Chinese new entrants of electric vehicle (EV) manufacturers, discovers the mechanism and path of cross-market innovation (CMI), established its structural model based on multiple case analysis, proposed three-stage progressing path and three integration mechanisms, and provides new ideas for latecomers to leverage advantages from innovation systems of both developed and developing countries to achieve the change of technological leadership. These new Chinese EV players in study directly go to the USA to innovate on top of acquiring new technologies in the USA, and leverage both first-mover and follower advantages, quickly becoming leading technologically in the areas of emerging technology innovation. The study suggests that latecomers could utilize CMI as their technology catching-up strategy and achieve technological leadership change in both home and developed countries. The CMI model has been tested through the structural equation model (SEM) through structured questionnaire.

Examining Factors Influencing the Integration of Blockchain Technology in the Freight Logistics Sector of Pakistan

This study examines the blockchain usage of Pakistan's freight logistics industry. A structural equation model is used to explore latent dimensions such as perceived ease of use, perceived usefulness, subjective norm, perceived behavioral control, attitude, and behavioral intention. To understand the specific factors impacting technology adoption decisions in this geographical and industrial location, a diverse sample of 245 Pakistan goods logistics sector operators will be explored. The findings reveal that perceived ease of use influences logistics professionals' behavioral intentions. The significance of clever and user-friendly interfaces emphasizes technology experiences that satisfy the expectations of Pakistani goods logistics workers. However, the perceived utility has a complicated relationship with behavioral intention, emphasizing the need for targeted actions to boost the perceived value of Blockchain technology in Pakistan's logistics business. Subjective norm is a major predictor of behavioral intention. This demonstrates how social and cultural factors influence Pakistani logistics workers' ambitions to use Blockchain. The correlation matrix and covariance analysis demonstrate that there are significant positive relationships between attitude, behavioral intention, perceived ease of use, perceived usefulness, and subjective norm. This detailed examination of the adoption environment offers practitioners, policymakers, and academics context-specific insights, setting the framework for informed freight logistics technology adoption and innovation activities in Pakistan.

Examining Factors Influencing the Integration of Blockchain Technology in the Freight Logistics Sector of Pakistan

This study examines the blockchain usage of Pakistan's freight logistics industry. A structural equation model is used to explore latent dimensions such as perceived ease of use, perceived usefulness, subjective norm, perceived behavioral control, attitude, and behavioral intention. To understand the specific factors impacting technology adoption decisions in this geographical and industrial location, a diverse sample of 245 Pakistan goods logistics sector operators will be explored. The findings reveal that perceived ease of use influences logistics professionals' behavioral intentions. The significance of clever and user-friendly interfaces emphasizes technology experiences that satisfy the expectations of Pakistani goods logistics workers. However, the perceived utility has a complicated relationship with behavioral intention, emphasizing the need for targeted actions to boost the perceived value of Blockchain technology in Pakistan's logistics business. Subjective norm is a major predictor of behavioral intention. This demonstrates how social and cultural factors influence Pakistani logistics workers' ambitions to use Blockchain. The correlation matrix and covariance analysis demonstrate that there are significant positive relationships between attitude, behavioral intention, perceived ease of use, perceived usefulness, and subjective norm. This detailed examination of the adoption environment offers practitioners, policymakers, and academics context-specific insights, setting the framework for informed freight logistics technology adoption and innovation activities in Pakistan.

RESEARCH ON THE IMPACT OF GREEN FINANCE ON GREEN TECHNOLOGY INNOVATION

The green technology innovation of enterprises cannot succeed without the support of capital. Financing constraints are the bottleneck of green technology innovation activities carried out by enterprises. In this regard, the government has adopted green finance-related policies, and the financial institutions have supported more efficient green technology innovation in enterprises with financial instruments like green credit and green bonds. This article, with the starting point of green finance, the study object of financial data of A-share listed companies from 2016 to 2021, and the mediator of financing constraints, studies the impact of green finance on green technology innovation through finding the correlation between enterprises’ annual ESG rating and financing constraints. This study finds: the impact of green finance on green technology innovation is positive; financing constraints are the mediator between green finance and green technology innovation; and there is a negative correlation between enterprises’ ESG management performance and their financing constraints.
 On account of the conclusion of this article, the suggestions are as follows: it is necessary for the government to design the development framework of the green economy in a top-down way and to encourage financial institutions and enterprises to work together in terms of green innovation; financial institutions should actively practice the philosophy of green development and broaden the supporting channels of green finance; and enterprises need to focus on the philosophy of ESG development in order to gain more support for green investment capital.

Инновационная среда России на современном этапе развития экономики

Modern leadership of economies is ensured by the trend of innovative development. Innovation-oriented economic growth is the number one issue for developed countries. The new stage of Russia's technological development, achievement of technological sovereignty requires new actions. An important condition for the implementation of in-novation activity is the innovation environment. Effective development of innovation environment favors innovative development. This article analyzes the external conditions and internal environment defined as the innovation environment. The article analyzes the current state of Russia's innovation environment on the basis of international inno-vation indices and ratings affecting various aspects of countries, participants, statistical surveys of innovation process-es in the Russian economy. The peculiarities of Russia's innovative development in the scientific and production, insti-tutional environment, the totality of resources, the characteristics of internal capabilities have been revealed. It is estab-lished that the positions of intellectual, material and infrastructural factors, the degree of impact of the results of inno-vation activity on the economy and society are low. Indicators demonstrate insufficient efficiency of resource utiliza-tion, the results of scientific and technological innovation activity. The efficiency of innovation activity of economies depends on the state scientific, technological and innovation policy that provides incentive priority development of various industries, institutional conditions that ensure technological leadership, research and development work for enterprises that create innovative products. Thus, it is necessary to increase the level of innovation activity of economic entities, to increase the amount of funding for research and development, the implementation of measures contributing to the innovative development of the Russian Federation.

The Impact of Capital Market Opening on Enterprise Green Technology Innovation: Insights from the Shanghai–Hong Kong Stock Connect

China’s economy has experienced a period of remarkable growth and entered a stage of high-quality development, necessitating the implementation of innovative eco-friendly practices involving green technology innovation. The capital market environment plays a direct role in influencing the sources and scale of external financing for businesses, thus affecting their green technology innovation activities. The Shanghai–Hong Kong Stock Connect (SHSC) mechanism in China is the first official two-way opening of China’s capital market. Therefore, this paper regards the SHSC policy as a quasi-natural experiment platform for the opening of the capital market and employs a difference-in-difference methodology to investigate the impact of the SHSC policy on enterprise green technology innovation and its influence mechanisms. The overall sample covers Chinese A-share listed enterprises from 2012 to 2017. The findings demonstrate that the SHSC policy significantly enhances the level of green technology innovation by enhancing corporate governance and alleviating financing constraints. Non-state-owned enterprises are more affected than state-owned ones, and there is no significant difference in the impact between heavily polluting industries and non-heavily polluting ones.

Economic policy uncertainty and the inhibitory effect of firms' green technology innovation

Given the potential unforeseen impacts of environmental regulation changes on the innovative activities of micro agents, it is crucial to examine the effects of economic policy uncertainty (EPU) on business development. Several studies have shown that uncertainty acts as a hindrance and can hinder business innovation. This study utilizes data from 807 listed companies spanning from 2007 to 2019 and employs a double fixed-effects model to investigate the influence of EPU on enterprises' green technology innovation activities. The results reveal that EPU decreased firms' green technology innovation. Moreover, EPU inhibits corporate green technology innovation by increasing corporate financing constraints. Thus, financing constraints mediate between EPU and enterprises' level of green technology innovation, with increased market competition reducing the inhibiting effect of EPU on innovation. Furthermore, EPU decreases green technology innovation more among nonstate-owned and low-tech businesses than state-owned and high-tech businesses. This paper reveals the intrinsic mechanism of EPU on firms' innovation, clarifies the technological innovation process, and provides insights into governmental environmental governance from the perspective of EPU.

Technological innovation, militarization, and environmental change: evidence from BRICS economies.

In the complex international society, the economic development and defense construction of BRICS countries have attracted increasing attention. This article incorporates technological innovation, militarization, and environmental change into a unified analytical framework to assess the potential impact of technological progress and defense military expenditure on the environment in BRICS countries. Based on CSD tests, unit root tests, and cointegration tests, this study constructs a CS-ARDL model to examine the long-term and short-term relationships among various variables from 1990 to 2021. The results show that technological innovation, military expenditure, and economic growth can significantly increase ecological footprint in the long run, while in the short term, technological innovation and economic growth significantly increase ecological footprint, and the impact of military expenditure is not significant. It is suggested that BRICS countries should focus on supporting low-carbon technology policies and research and development investment, while also considering the use of cutting-edge technology to improve military intelligence capabilities in order to reduce the negative impact of technological innovation and military activities on the environment.

Economic Crisis and its Effects on ERP Adoption in Sri Lanka

ERP (Enterprise Resource Planning) systems are comprehensive software platforms that are specifically designed to manage a wide range of a business's essential processes, including finance, accounting, human resources, procurement, inventory management and project management. In the event of a country facing forthcoming economic collapse, organizations often find it challenging to determine the technological innovation activities they should engage in. The proliferation of the IT industry and its associated value proposition has led to the adoption of ERP systems becoming a popular strategic decision for businesses in the contemporary world. However, organizations' perception affects their inclination to adopt new technologies during economic crises. Hence, identifying factors influencing ERP adoption and assessing crises' impact on such systems is crucial. This research endeavor aims to examine the factors that are likely to exert a significant influence on the adoption of ERP systems within the context of Sri Lanka. The study adopts the Technological - Organizational – Environmental (TOE) framework to provide a comprehensive understanding of the factors that affect the adoption of ERP systems in organizations in Sri Lanka. This study seeks to investigate how the factors identified impact the adoption of ERP systems and how the turbulent economic condition in Sri Lanka has affected it. Existing scholarly literature on ERP adoption during an economic crisis is relatively scarce, and thus, this study will fill a critical gap in the body of knowledge. Furthermore, this study will offer invaluable insights into the importance of the identified factors, ICT Infrastructure, Human Capital, Competitive Pressure, Demand for Products or Services and Trading Partners’ Readiness for business communities in Sri Lanka. Also, this will provide insights into how a country's finance affects ERP adoption, helping organizations make informed technology adoption decisions. Keywords: Economic crisis, Enterprise Resource Planning systems, ERP adoption, Innovation and Technology, Technology adoption and PLS-SEM.

Research on cultivating innovative practical ability of students majoring in computer science and technology under the background of integration of specialization and innovation

Based on the perspective of the integration of specialization and innovation, in order to improve students' innovative practical abilities, this paper innovates the talent cultivation mode of computer science and technology majors, proposes the "three carriers" co creation progressive talent cultivation mode, optimizes the curriculum system of specialization and innovation integration, scientific research and education projects, and scientific and technological innovation activities as carriers, and jointly cultivates students' innovative practical abilities at the hierarchical level of school enterprise and teacher-student collaboration. At the same time, from the curriculum system propose relevant strategies in terms of innovative practice platforms, diverse assessment standards for innovative talents, etc., to promote the cultivation of innovative applied talents in computer science and technology majors.

The impact path of uncertain economic policy on the high-quality development of technology-based innovative enterprises

Abstract In recent years, macroeconomic policies have been characterized by significant uncertainty. This context of uncertainty has made it imperative to explore strategies that enterprises can adopt to pursue high-quality development. This paper specifically investigates the impact of economic policy uncertainty on science and technology enterprises. We categorize the productive activities of these enterprises into two types: technology-oriented and market-oriented. The paper further preprocesses the samples based on these categories. For analytical purposes, we employ the Cobb-Douglas production function to assess the level of enterprise development. A fixed-effects regression model is utilized, incorporating both control variables and mediating variables. Our baseline regression analysis reveals that the fintech coefficient for science and technology enterprises stands at 0.0721 without control variables and 0.0775 with them, demonstrating significance at the 1% level. These results suggest a positive correlation between economic policy uncertainty and the technology innovation activities of enterprises. Moreover, our findings indicate that economic uncertainty exerts a moderating effect on enterprise innovation. Specifically, the regression coefficients of economic uncertainty are −0.301, −4.687, and −3.154, while the industry characteristics regression coefficient is positive and significant at the 1% level. This pattern indicates that economic uncertainty significantly inhibits R&D investment in high-tech enterprises, adversely affecting their high-quality development.