Technological Innovation Activities Research Articles

Innovation and Development of Guangdong-Hong Kong-Macao Capital Market Based on Fintech

The development of the capital market will face challenges. Promoting the optimization of the capital market in the guangdong-hong kong-macao (CHM) Greater Bay Area (GBA) with the development of emerging FT is not only of practical significance to the development of the GBA, but also of great significance to promoting the country's overall economic competitiveness and realizing modernization. In the context of the rapid development of FT, the practical and theoretical significance of capital market optimization in the CHM GBA is analyzed. The new generation of FT means such as big data, cloud computing, artificial intelligence, blockchain, and Internet payment are the mainstays of CHM University. Possibilities analysis of Bay Area capital market optimization offers. Based on this background, this paper conducts research on the innovative development of capital markets in CHM based on financial technology (FT).This paper mainly studies the status quo of financial support for technological innovation in the CHM GBA, summarizes the main practices of financial support for technological innovation in the three major bay areas in the world, and draws the following points: First, it is necessary to establish a ST innovation system according to the national conditions of a country. financial support system. Second, policy finance plays a guiding role in the initial stage of ST innovation activities. Third, commercial banks play an important role as a booster in technological innovation activities. Fourth, a sound credit guarantee system provides a strong guarantee for technological innovation. Fifth, developed venture capital and perfect multi-level capital market can effectively speed up the development of ST innovation.

Are Mercosur economies going green or going away? An empirical investigation of the association between technological innovations, energy use, natural resources and GHG emissions

The dynamic association between technological innovations, human capital and greenhouse gas (GHG) emissions has serious environmental repercussions. On the other hand, as significant as it is, this domain is inadequately investigated by environmentalists, and explored the indefinite and vague outcomes. In addition, these studies do not deal with the function of natural resources in determining environmental quality, in an explicit and precise manner. For that reason, realizing the need for a further rigorous and significant assessment of the intricacies concerned in studying GHG emissions, this study investigates the influence of technological innovations, economic growth, renewable energy, natural resources, and human capital on GHG emissions in Mercosur countries from 1990 to 2018. The analysis follows a second-generation perspective, which generates reliable and robust outcomes in the presence of slope heterogeneity and cross-sectional dependency. The long-run elasticity estimates calculated through the Driscoll and Kraay approach suggest that economic growth and natural resources significantly increase GHG emissions, while technological innovations, renewable energy, and human capital help to curtail them. The outcomes of the country-specific analysis are consistent with the Mercosur panel estimates. The findings of the Dumitrescu and Hurlin non-causality test reveal a feedback hypothesis between economic growth, human capital, renewable energy, and GHG emissions. The conservation hypothesis from technological innovation and natural resources to GHG emission is also discovered. Mercosur economies should increase their technological innovation activities and human capital to ensure that new firms and established companies can innovate rapidly in favour of sustainable development and lifestyle quality. The empirical findings of this study allow us to propose various policy suggestions for the Mercosur countries.

The Impact of Intergenerational Succession Intention on Family Firm’s Innovation Strategy: Evidence from China

In the development and growth of family businesses, succession is an unsolvable problem, which is also a popular focus of academic research. For a family firm, succession may be a strategic decision but also a long-term and intricate “footrace.” It will have a significant impact on the long-term viability of a family firm if it is not handled appropriately. This study mainly explores the influences of family business owners’ intergenerational succession intention on their family firms’ innovation strategy in China. In addition, this study further examines the moderating role of the institutional environment in the above relationship. Therefore, the data in this article comes from a survey of 271 family businesses in eight different regions of China. Also, this paper can aid the smooth transition of intergenerational transmission of small and medium-sized family businesses in addition to the untroubled development of technological innovation activities. Specifically, the institutional environment plays a negative moderating role in the relationship between family succession, radical succession, technological innovation, and a positive regulating role in the relationship between single equity succession and technological innovation.

Mandatory Environmental Regulation and Green Technology Innovation: Evidence from China

Faced with the severe situation of high energy consumption and major pollutant emissions, the Chinese government has adopted various mandatory environmental regulations (MERs) to improve the binding force of environmental protection policy implementation. In 2006, the environmental protection target responsibility system was implemented, and the energy conservation and emission reduction targets were linked to the performance assessment of government officials as a binding indicator. What is the impact of this policy on green technology innovation activities? Based on this, this paper identifies the relevant indicators of green technology innovation activities. It uses the difference-in-differences (DID) method to investigate the impact of mandatory environmental regulation on the quantity and quality of green technology innovation activities. The conclusions are as follows: (1) The implementation of MERs promoted the expansion of the number of green patent applications. (2) MERs also led to the decline of the quality and the emergence of the foaming phenomenon. (3) Enterprises with weak innovation ability are the main group causing the decline of green technology innovation quality, and they are concentrated in independent innovation and low-level pollution industries. The conclusion of this paper helps provide a theoretical basis and countermeasures for deepening the reform of the MER policy, strengthening the coordination of different environmental regulation tools, and establishing a market-oriented green technology innovation system and environmental protection science and technology policy.

Identifying Promising Technologies of Electric Vehicles from the Perspective of Market and Technical Attributes

The vigorous development of electric vehicles (EVs) can promote the green and low-carbon development of society and the environment. However, the research and development of EVs technology in China started late, and there are some problems such as relatively backward technology. In order to promote the decarbonization process of transportation systems, there is an urgent need for appropriate methods to identify promising technologies in the EVs field to guide the efficient development of innovation activities. This study proposes a novel approach to integrate the perspective of market and technical attributes to identify promising EVs technologies. Firstly, text mining tools are applied to extract review and technical keywords from online reviews and patents, and technical topics are summarized. Secondly, sentiment analysis is conducted to calculate user satisfaction based on online reviews, and then market demand of technical topics is obtained. Thirdly, social network centrality analysis, DEA–Malmquist model, and CRITIC method are employed to obtain technical features of technical topics based on patents. Finally, a portfolio map is constructed to analyze technical topics and identify promising EVs technologies. As the main driving force for the development and transformation of the automotive industry, the efficient identification of promising technologies in this field can provide strategic decision support for the development of EVs. This study aims to provide objective data and scientific guidance for related enterprises to carry out technological innovation activities.

The Tax Planning of Enterprises Will Improve Their Total Factor Productivity

Improving total factor productivity is the key to accelerating the development of economy to high quality, and the production and operation activities of enterprises need sufficient cash flow support. In fact, when enterprises carry out independent innovation and project investment, most of them will encounter financing constraints. When the cash flow of enterprises is not sustainable or it is difficult to boost the activities of improving total factor productivity, scientific and reasonable tax planning of enterprises will provide them with better opportunities. Reasonable tax avoidance behavior of enterprises can increase capital inflows, boost technological innovation and investment activities, and thus significantly improve total factor productivity. It is found that there is a significant moderating effect of external mechanism on the effect of corporate tax avoidance on TFP. The stricter the external supervision of enterprises is, the greater the role of tax avoidance activities in promoting TFP is. The conclusion of this paper clarifies the impact of tax avoidance on the high-quality development of enterprises, and has profound policy implications.

Do carbon emission trading scheme policies induce green technology innovation? New evidence from provincial green patents in China.

Carbon emission trading scheme (ETS) policy is a quota-based market-motivated environmental regulation policy that by transforming environmental responsibility of enterprises into self-consciousness behavior induces green innovation behavior in enterprises and influences the level of regional green innovation. Based on panel data on green patents in 30 Chinese provinces from 2010 to 2019, the paper uses six Chinese pilot provinces for ETS as the treatment group to investigate the induced effects of Chinese ETS policy on the quantity and quality of green technology innovation using difference in difference model and analyzes the effects of Chinese ETS policy on green technology innovation in different pilot regions using a synthetic control method. The findings indicate that (1) compared with non-pilot areas, the carbon emission trading policies in pilot areas can induce green technology innovation activities. (2) In all pilot regions, ETS policies significantly promoted the quantity and quality of green technology innovation, but the quantity promotion effect was significantly better than the quality promotion effect, and the low-quality promotion effect was better than the high-quality promotion effect. (3) In terms of individual pilot region, ETS policies in Guangdong, Hubei and Tianjin significantly promoted the quantity of green technology innovation and low-quality green technology innovation, but significantly inhibited or suppressed high-quality green technology innovation in a short term. This paper not only enriches the research on environmental equity trading policies and green technology innovation theoretically, but also provides empirical evidence for the effectiveness of carbon emission trading schemes pilots program in China.

Measuring technological innovation efficiency using interval type-2 fuzzy super-efficiency slack-based measure approach

As an important leading industry in China’s economy, the high-tech industry needs to systematically analyze technological innovation activities, thereby measuring the technological innovation efficiency and further improving sustainable development. The high-tech industry in different provinces benefits from individual policies due to their geographical locations. However, since the intensity of policy implementation in the technological innovation activities of the provincial high-tech industry is qualitative information, which is difficult to be expressed by quantitative data and rarely considered in the efficiency assessment. Therefore, this study adopts interval type-2 fuzzy sets to characterize the uncertain qualitative information and constructs an interval type-2 fuzzy evaluation method to measure the technological innovation efficiency of China’s high-tech industry. More specifically, considering the handling of undesirable outputs and the ranking of multiple efficient decision-making units, the super-efficiency slack-based measure (SBM)-Data envelopment analysis (DEA) method has been selected as the basic evaluation model. Then, the super-efficiency SBM-DEA model has been extended into an interval type-2 evaluation approach by considering the uncertain variables. Moreover, the α-cuts and best-and-worst methods are introduced to conduct the decomposition of the proposed evaluation model and aggregate the ultimate efficiency. Finally, a comparative analysis of technological innovation efficiency in the regional high-tech industry has been performed to validate the applicability of the proposed model.

Simulation of Intellectual Property Management on Evolution Driving of Regional Economic Growth

The input, application, and transformation of intellectual property can significantly promote the economic development of a region, but the path and operation mechanism of intellectual property management on regional economic growth are not very clear. System dynamics theory was used to analyze the driving force and resistance of intellectual property management from macro to micro. With the help of system dynamics theory, equations were constructed to simulate the process path and force from intellectual property management to regional economic growth, and sensitivity analysis was used to find sensitive influencing factors in the system. The following conclusions were drawn: (1) intellectual property affects regional economic growth from the macro level, such as intellectual property investment, policies, and the construction of rules and regulations; (2) enterprises, whether in the industry, universities and research institutes, or in this system, are the main body to create innovative benefits and ultimately promote regional economic growth; (3) the continuous investment of intellectual property resources and the driving force of enterprise innovation are all sensitive factors of this system. The government should give full play to its functions and strengthen the management of intellectual property in order to enable the regional economy to obtain high quality development. Through the study of the cooperation between the subjects in the process of intellectual property management activities, the integration and allocation process of factors and resources has been researched, and revealing the action process and dynamic change process of technological innovation activities on economic growth also have been revealed.

The Impact of Low-Carbon Pilot City Policy on Corporate Green Technology Innovation in a Sustainable Development Context—Evidence from Chinese Listed Companies

The low-carbon pilot city policy is an important initiative to explore the path of a win-win situation for both the economy and the environment. Since 2010, China has established 87 low-carbon pilot cities. This policy implementation aims to encourage green technology innovation among listed companies, thereby achieving sustainable corporate growth through the promotion of energy efficiency and renewable energy. This paper aims to unveil the relationship between low-carbon pilot city policies and green technology innovation. This paper explores the impact of policy implementation based on patent data of Chinese listed companies from 2007 to 2019. Empirical results show that the policy can promote green technology innovation among listed companies in the pilot cities. This finding still holds in the parallel trend test and the PSM-Multi-period DID test. Second, the policy has a greater effect on the green-technology innovation of non-state enterprises and can promote more green technology innovation activities of enterprises in the eastern region compared with other areas. Furthermore, in terms of different stock sectors, the low-carbon pilot city policy can significantly promote GEM-affiliated enterprises’ green technology innovation activities. Finally, listed companies with a high degree of digital transformation are more active in green technology innovation in the context of low-carbon pilot city policy.

Research on the Compilation Ability of Technicians in Construction Enterprises for Innovative Data

In order to study the participation of front-line technicians in construction enterprises in technological innovation activities of enterprises, the cognition of innovation data compilation, the method of each element of innovation data writing, the ability of literature retrieval and the difficulties encountered in the process of writing. In this paper, the questionnaire survey is used to investigate the first-line general contracting project departments of large-scale central enterprises whose main business is energy and power, water resources and environmental engineering, infrastructure construction, design, supervision, investment, and operation management in the past five years. 23 professional and technical personnel with intermediate professional titles were surveyed. The research results show that: 23% of technicians are aware of innovation activities and actively participate in them; 77% of technicians are not aware of innovation activities and have not been guided to participate by the organization, so they do not know much about technological innovation activities; from the perspective of individual technicians, 45% of technicians believe that participation in innovation is optional and has little impact on themselves; 36% of technicians believe that it is necessary to participate in technological innovation activities, but completing their own work is more important and more in line with their actual benefits.

The Transfer Strategy of Digital Information Technology for Heterogeneous Manufacturers

The application of digital information and computing technology can significantly improve cooperation between different enterprises and the efficiency of knowledge and resources management, while facilitating the participation of partners in various technological innovation activities. The choice of digital information technology by traditional enterprises and the transfer of digital information technology between enterprises are key issues in the application of industrial digitalisation at this stage, and it is necessary to explore their transfer strategies and operational mechanisms theoretically. In this paper, a digital information technology transfer system consisting of a high-tech enterprise and two heterogeneous manufacturing enterprises is simulated and constructed using the Stackelberg game approach. This system can help high-tech enterprises choose the optimal digital information technology transfer strategy, while promoting the digital transformation and upgrading development of traditional manufacturing enterprises.

Driving Force Mechanism of the Core Green Technology Innovation of Equipment Manufacturing Enterprises towards Industry 5.0 in China

Green innovation is an important way for enterprises to achieve high-quality economic development, and it is also the way to achieve the goal of double carbon. Green innovation has therefore become a research hotspot. With the acceleration of the digitalization process in equipment enterprises, intelligent manufacturing equipment enterprises located at the top of the industrial chain are in urgent need of green core technology innovation activities. In order to explore the internal mechanism of core green technology innovation, this research introduces reputation theory into the evolutionary game analysis process. By constructing an evolutionary game model between the government and intelligent manufacturing equipment enterprises, this research analyzes the dynamic factors that affect the selection and evolution of the main strategies of the players in the evaluation game. The results show that corporate reputation, core green technology innovation profit, government subsidies, government reputation, and the cost for the government to support core technology, among other factors, importantly affect the game between the government and the enterprises. At the same time, since both the government and the enterprises are affected by the initial state and the maximization of the interests of both sides of the game, it is difficult for them to spontaneously reach an ideal stable and balanced state through a virtuous circle. The greater the profits and the reputation premium the core green technology innovation brings to the enterprises, the more favorable it is for the enterprises to choose core green technology innovation; government subsidies within a certain range will also drive enterprises to choose core green technology innovation. When the value of enterprise core green technology innovation is low, the cost for the government to support core green technology innovation is lower, enterprises will lose more opportunities and decline in global competitiveness, and it will become more favorable for the government to evolve towards supporting core green technology innovation. On the contrary, the government will gradually transfer its tangible hand to the intangible hand of the market based on the consideration of subsidies, innovation costs, and reputation. The results of this research are intended to provide a theoretical basis and practical reference for Chinese intelligent manufacturing equipment enterprises to better achieve green core technology innovation.

Modelling and simulation of a four-group evolutionary game model for green innovation stakeholders: Contextual evidence in lens of sustainable development

Sustainable development goals (SDGs) proposed by the United Nations Sustainable Development Agenda in 2015 guide coordinated socio-economic development of all countries. They highlight the importance of environmental protection and renewable energy. Here, evolutionary game theory was used to build green technology innovation activities of the government, public, polluting enterprises, and non-polluting enterprises of a four-group evolutionary game model under environmental regulations to discuss and analyze the strategic stability of each game subject and the influence mechanism of strategic selections. Long-term impact of green technology progress on renewable energy consumption was investigated by simulation. The evolutionary trajectory of the game system of these stakeholders was studied through simulation analysis. Under different environmental regulations, polluting and non-polluting enterprises selected different strategies. Non-polluting enterprises easily accepted environmental regulations and conducted green technological innovation to promote SDGs. The effects of command-and-control and incentive environmental regulations were better in the short- and long-term, respectively. When the compensation intensity of an enterprise to the public was low or medium, the public selected supervision. Further, establishing public participation supervision mechanism could control non-green behavior and increase the renewable energy demand of polluting and non-polluting enterprises. Finally, suggestions were provided to promote green innovation and sustainable development from the perspectives of environmental regulation and collaborative innovation.

The influence of organizational learning and external cooperation configuration on enterprise technological innovation: A study based on fsQCA approach.

This study explores the influence of organizational learning and external cooperation configuration on enterprise technological innovation and constructs a comprehensive theoretical framework of "organizational learning-external cooperation-technological innovation" based on the fuzzy set qualitative comparative analysis (fsQCA) method. The results show the following. (1) A single episode of organizational learning or external cooperation cannot affect the enterprise’s technological innovation, which requires the mutual linkage of the two to improve enterprise technological innovation performance. (2) The technological innovation model in which organizational learning and external cooperation interact is an effective way for enterprises to improve technological innovation performance. There are four technological innovation models that produce high technological innovation performance, namely consciousness-system synergy, consciousness-led, quasi-full, and all-around drive. (3) There are four models of non-high-tech innovation performance, which are not opposed to the technological innovation model of high-tech innovation performance. This research expands the technological innovation perspective of organizational learning and external cooperation matching, provides enterprises with effective technological innovation activities, and provides a theoretical reference and practical guidance for improving technological innovation performance.

External Environment Uncertainty, Key Resources Acquisition and Corporate Technological Innovation

Building on the resource-based theory, we investigate the impact of external environmental uncertainty on firm technological innovation taking into consideration the mediating role of key resource acquisition among this relationship. A sample of Chinese A-share listed companies from 2008 to 2019 is employed to test the proposed research model. The results provide support for the argument that the external environmental uncertainty negatively relates to the input and output of technological innovation, in which the acquisition of key resources - capital resources and information resources plays a mediating effect. We also find that corporate social capital mitigates this negative impact. Further, technological innovation of high-tech industries is more sensitive to external environment uncertainty compared with non-high-tech industries. Our results not only theoretically extend previous research by providing a new perspective to explain the mechanism of external environment uncertainty affecting corporate technological innovation, but also provide practical guidance for firms on how to effectively conduct technological innovation activities in a highly uncertain external environment.

ОПРЕДЕЛЕНИЕ НАПРАВЛЕНИЙ РАЗВИТИЯ ОБЪЕКТОВ ПРОИЗВОДСТВЕННО-ТЕХНОЛОГИЧЕСКОЙ ИННОВАЦИОННОЙ ИНФРАСТРУКТУРЫ В СИСТЕМЕ РЕГИОНАЛЬНОЙ ЭКОНОМИКИ

At the present state of development of regional economy, we can see a constant growth of amount of innovation infrastructure objects. In this case, actual problems of systematization, evaluation of the effectiveness of functioning, choosing ways of development and management of innovation infrastructure objects arise. The goal of this article is to determine the ways for development of production and technological innovation infrastructure in the system of the regional economy by effectiveness of functioning analysis of innovation infrastructure objects. By result of analysis of methods and ways of evaluation of the effectiveness of functioning of development production and technological innovation infrastructure, and the results of ratings of infrastructure objects by the government and social and business organizations, authors have determined key/fundamental ways of development of production and technological innovation infrastructure objects and innovation activity. The authors have done the conclusions about the necessity of development of the legal regulation of innovation infrastructure objects, creation of the system of monitoring and collecting data, management companies financial improvement, strengthening the control over the spending of budget investments and transfers, creation of the methods of evaluation of the effectiveness of functioning of development production and technological innovation infrastructure. Also, evaluation of the effectiveness of functioning of development production and technological innovation activity have to take into account the specifics of such objects and determine the efficiency of functioning of both the object of innovation infrastructure directly (as a business entity characterized by the presence of a property complex, residents, resources and a management company), and its effectiveness in terms of achieving the goals of creating such an infrastructure object and its impact on socio-economic development of the region.

ADJUSTMENT OF PROFESSIONAL TALENTS' INNOVATIVE PSYCHOLOGICAL QUALITY AND EMOTIONAL STABILITY UNDER OBE MODE

ADJUSTMENT OF PROFESSIONAL TALENTS' INNOVATIVE PSYCHOLOGICAL QUALITY AND EMOTIONAL STABILITY UNDER OBE MODE

Collaborative innovation: a technological perspective

Collaborative innovation: a technological perspective

How do green knowledge management and green technology innovation impact corporate environmental performance? Understanding the role of green knowledge acquisition

AbstractIncreasing regulatory obligations to adapt and execute environmentally friendly operations make it critical for businesses to pursue strategies that can strengthen their competitive edge in the market. Academics and practitioners alike have recently gravitated toward exploring how knowledge acquisition activities might improve business outcomes. To address this growing research interest, this study investigates the critical roles of green knowledge acquisition in enhancing green knowledge management and green technology innovation activities in improving corporate environmental performance, positioning resource commitment as a moderator. The research model has been assessed using structural equation modeling with survey data from 283 Indian manufacturers, demonstrating that green knowledge acquisition significantly impacts green knowledge management and green technology innovation. The statistical findings also show that green technology innovation acts catalyzes the translation of green knowledge management into improved corporate environmental performance. The results demonstrate that resource commitment moderates green knowledge acquisition's interaction with green knowledge management and green technology innovation, providing practical insights enabling managers to focus on planning, allocating, and budgeting resources for effective green practices that can contribute to improving corporate environmental performance.