Technological Innovation Ability Research Articles

An empirical study of factors influencing entrepreneurship using fuzzy logic: Based on provincial panel data

At present, the development of China’s economy is inseparable from the promotion of innovation and entrepreneurship. However, there are huge differences in the level of entrepreneurship in different regions, so it is urgent to analyze the influencing factors of entrepreneurship. This paper uses panel data of 31 provinces in 2008–2017 to test the impact of urban unemployment rate, regional financial development level, market scale, agglomeration effect, entrepreneurial cost, scientific and technological innovation level, government support and other factors on entrepreneurial level. To solve the issue of factors influencing the enterprises, we utilised an effective way of fuzzy logic along with decision estimation strategy. The empirical results show that regional financial development level, agglomeration effect, technological innovation ability, government support and so on have a positive role in promoting the level of entrepreneurship, while urban unemployment rate has no significant effect on the level of entrepreneurship. Based on the empirical conclusion, the paper puts forward some policy suggestions.

Research on the influence of government subsidies on the growth of energy-based enterprises——The mediating effect of enterprise R&D investment

Energy is the material basis for the survival and development of human society. It is of great significance for energy enterprises to obtain government subsidies, improve technological innovation ability, improve energy efficiency and realize sustainable development. Based on the data of listed energy companies in China, this paper examines the relationship between government subsidies, R & D investment and the growth of energy companies. The results show that: there is a significant positive correlation between government subsidies and the growth of energy enterprises; there is a significant positive correlation between government subsidies and R & D investment; R & D investment has a significant partial mediating effect between government subsidies and the performance of resource-based enterprises.

Development and Practice of a Lesson Model for Junior High School Technology Department to Develop Technological Innovation Ability through a Review Lesson of Technological Governance with a Medical/Nursing Technology System

Development and Practice of a Lesson Model for Junior High School Technology Department to Develop Technological Innovation Ability through a Review Lesson of Technological Governance with a Medical/Nursing Technology System

Alliance Effects, Spatial Distribution, and Interregional Technology Convergence——A Study Based on ITISA in China

Interregional technology convergence is one of the necessary conditions for the coordinated development of regional economy, and constructing cross-regional industry technology innovation strategic alliance (ITISA) is one of the main means to realize interregional technology convergence. This paper investigates whether the establishment of these alliances can improve the technological innovation ability of ITISA and its members and how ITISA and its members are distributed geographically across China. This research finds that the establishment of ITISA is conducive to the increase of the number of patent applications and the improvement of the technological innovation ability of the alliance and its members. However, due to the over-concentration of alliance members in China’s eastern region and the low region coverage ratio of the single alliance, the role of the establishment of ITISA in promoting interregional technology convergence is limited.

Algorithms for MAGDM with intuitionistic fuzzy sets and their application for evaluating the green technological innovation ability of the enterprises

The dual generalized Bonferroni mean (DGBM) operator is a meaningful decision-making tool which can consider the relationship between any numbers of being fused arguments and has been applied to many MAGDM domains in past few years. The intuitionistic fuzzy sets (IFSs), which is characterized by the functions of membership degree and non-membership degree, has been investigated by numerous scholars. In this manuscript, combine the DGBM operator and IFSs, the major contribution and objective of the work is to develop two new aggregation operators: the dual generalized intuitionistic fuzzy BM (DGIFBM) operator and the dual generalized intuitionistic fuzzy weighted BM (DGIFWBM) operator. The last, we give an application example for evaluating the green technological innovation ability of the enterprises and some comparative analysis to testify the effective and scientific of our developed methods.

Construction of Engineering Innovation Ability Training System for Applied Chemistry Specialty under the Background of Emerging Engineering Education

Construction of Engineering Innovation Ability Training System for Applied Chemistry Specialty under the Background of Emerging Engineering Education

Exploration and Practice of Practical Teaching System of Electricity Specialty by Stages and Continuities

In this paper, starting from the whole process of higher education personnel training, aiming at cultivating students with engineering innovation ability required by enterprises, a comprehensive and systematic practice platform is constructed. The platform adopts the stages, continuity, practice mode, build mutual connection, the overall unity of practice teaching system, so that students in different learning stage to complete each independent unit of the circuit design, can blend in unit circuit in the system, and each stage of the unit can be design together, constitute a fully functional comprehensive experiments. At the same time, all kinds of pre-competition training will penetrate into all stages of undergraduate teaching to maximize the benefits of competitive learning mechanism.

Overall optimization model of efficiency and performance of green technology innovation

Nowadays, China's economic development is in a rapid and stable state, in which scientific and technological innovation has played a great role in promoting the development of economic society. Scientific and technological innovation is an important indicator to measure the competitiveness of modern economic society, and is also the pillar and driving force for the survival of regional economic development. It is of great significance to study the overall optimization model of efficiency and performance of green technology innovation for the development of technological innovation and sustainable economic development in China. In this paper, we analyze the dynamic change of green technology in China from the perspective of time, static innovation model and regional innovation model. The results show that the overall level of green technology innovation efficiency of China`s industrial industry is low, and the scale efficiency of enterprises is high, which indicates that enterprises rely heavily on scale level. In order to improve the overall green technology innovation efficiency, the technology and management level should be improved accordingly; the efficiency of green technology innovation varies greatly among regions, Comparing the efficiency values of southeast, middle and Northwest China, it is found that the regional development is in a very unbalanced state, especially in the northwest region, the efficiency value is low in the stage of achievement transformation. Finally, according to the research results, this paper puts forward some measures, such as increasing investment in technology research and development, improving the ability of green technology innovation, optimizing the allocation of resources reasonably, and strengthening the guidance and support of enterprise green technology innovation.

Innovation or Introduction? The Impact of Technological Progress Sources on Industrial Green Transformation of Resource-Based Cities in China

With the increasingly prominent problems of global resource consumption and environmental pollution, industrial green transformation has become one of the requirements of China’s industrial development in the new era. However, there is a lack of research on the impact of technological innovation and technology introduction on the industrial green transformation of resource-based cities. To bridge this gap, this study uses the panel data of 115 resource-based cities in China from 2003 to 2016, and uses the dynamic panel generalized method of moments (GMM) estimation method to study the impact of technological innovation and technology introduction on industrial green transformation of resource-based cities. The results show that technology introduction has a negative effect on the industrial green transformation of resource-based cities, while technological innovation can have a positive effect. Meanwhile, technology introduction has imparted a greater role to technological innovation in promoting this transformation. In addition, the interactive effects between technological innovation and technology introduction have obvious heterogeneity on the industrial green transformation of different types of resource-based cities. Therefore, resource-based cities should continue to increase investment in scientific research, to constantly improve and consolidate their technological innovation ability, optimize foreign investment strategy in technology introduction, and strengthen the digestion and absorption of imported technology, while increasing technological innovation and personnel training.

Research on the Measurement, Evolution, and Driving Factors of Green Innovation Efficiency in Yangtze River Economic Belt: A Super-SBM and Spatial Durbin Model

With the shortage of resources and the increasingly serious environmental pollution in China, green innovation has become a sustainable competition for a region. The Yangtze River Economic Belt (YREB) strategy is one of the most important strategies for the sustainable development of China’s economy under the new normal. Green innovation plays a linking role in the resources exchange and trade flow in YREB, and it is also the foundation and guarantee to implement the YREB strategy. The global environmental pollution and the weak recovery of world economy make the traditional extensive economic growth model unsustainable. Sustainable economic growth should focus on the quality of development and its external costs to the environment. In order to implement the concept of sustainable development, the improvement of logistics ecological efficiency is related to the quality of ecological civilization construction. Therefore, it is of theoretical and practical significance to study the measurement, evolution, and driving factors of coordinated development level of regional green innovation system. This paper proposes a super-slack-based measure (super-SBM) data envelopment analysis (DEA) model to measure the green innovation efficiency of 11 provinces and cities in YREB from 2008 to 2017, mastering its spatial and evolutionary characteristics, and conduct empirical analysis on the influencing factors. The empirical results indicate that economic development, government support, and industrial structure upgrading are the leading forces to directly enhance the green technology innovation ability of cities in the Yangtze River Economic belt and play the core driving role of green innovation. To further enhance the capacity of urban green innovation in the Yangtze River Economic belt, we will increase the government’s support for green innovation, optimize the environmental governance model, promote the green upgrading of industrial structure, and enhance the enthusiasm of enterprises for green innovation.

The Measurement of Tourism Environmental Pollution and Tourism Efficiency in Western China

Li, W.B.; Zhang, L., and Guo, R.L., 2020. The measurement of tourism environmental pollution and tourism efficiency in Western China. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 660–664. Coconut Creek (Florida), ISSN 0749-0208.At present, the level of tourism industry aggluence in the western region is generally low, and the tourism resources in western China are abundant in the control variables such as economic development level, dependence on foreign capital, advanced industrial structure, scientific and technological innovation ability and energy consumption intensity. The influence of industrial adjudicity on the regional environment has always attracted much attention, and in recent years, with the deepening of China's ecological civilization construction and beautiful China's strategy, social economy, while pursuing rapid development, is also paying attention to the improvement of quality and comprehensive benefits. The spatial difference between regional tourism efficiency and tourism scale is obvious, so environmental problems arise. In addition to poor planning, unscientid management, extensive development model, tourism inefficiency is a serious potential obstacle. This paper analyzes that developing countries often face environmental pollution due to improper tourism planning, unscienced management and extensive development models. This environmental defect in tourism can be an important factor in air and water pollution. From the perspective of ecological civilization, the clustering situation of tourism industry in the western region and its influence mechanism on environmental pollution should be formulated according to local conditions, and the coordinated development of regional tourism industry and environmental protection should be guided scientifically.

Regional competition, environmental decentralization, and target selection of local governments

Promoting environmental management system reform in an orderly manner and coordinating central and local environmental protection responsibilities are important for high-quality economic development. Based on panel data of 289 cities in China from 2008 to 2016, this paper uses the fixed effects model and threshold regression model to discuss the relationships among regional competition, environmental decentralization, and target selection of local governments and to analyze whether environmental decentralization produces the Porter effect. Findings show that environmental decentralization does significantly promote economic development, strengthen environmental pollution control, and generate a strong Porter effect, due to greater R&D investment, improvement in green technology innovation ability, and optimization of the industrial structure. The effect of environmental decentralization shows significant regional heterogeneity in terms of regional financial pressure, economic development level, and environmental pressure, while regional competition distorts the effect of environmental decentralization. With the intensification of regional competition, environmental decentralization greatly improves the emission intensity of pollutants, whereas it promotes economic development after inhibiting it. The above conclusions are of great significance for pushing forward environmental decentralization, formulating a differentiated environmental decentralization strategy, and perfecting the government performance appraisal system.

The Influence of Technological Innovation Ability of Universities on Regional Economic Growth: Take Coastal Provinces and Cities for Example

Wang, X.; Ren, Y.; Zhang, L., and Ma, Y., 2020. The influence of technological innovation ability of universities on regional economic growth: Take coastal provinces and cities for example. In: Yang, Y.; Mi, C.; Zhao, L., and Lam, S. (eds.), Global Topics and New Trends in Coastal Research: Port, Coastal and Ocean Engineering. Journal of Coastal Research, Special Issue No. 103, pp. 112–116. Coconut Creek (Florida), ISSN 0749-0208.University is a significant part of the national innovation system. Technological innovation of universities has become an important driving force of economic growth and achieving high-quality economic development. This paper uses a variety of spatial econometric analysis techniques to investigate the inter-regional flow of the elements of university scientific and technological innovation capability and the effects of university technological innovation ability on economic growth and further studies the direct and indirect effects of university technological innovation capability by using panel data of coastal provinces and cities in China from 2005 to 2017. This research finds that the scientific and technological innovation ability of universities has obvious spatial spillover effect and it has a significant positive impact on regional economic growth. And the spatial spillover effect is greater than the direct effect, that is to say, the elasticity coefficient of the technological innovation ability of colleges and universities in the surrounding areas to the regional economic growth is greater than that of colleges and universities in the region. In addition, the investment of fixed assets, the process of urbanization and the scale of government only have the direct effect on the regional economic growth, and there is no spatial spillover effect. The scale of government and the opening-up have the direct effect and spillover effect. The conclusions for this study provide a useful reference for the government and universities to strengthen the technological innovation ability of universities so as to promote regional economic growth.

Research on the Coupling and Coordinated Development of Marine Technological Innovation and Marine Ecological Economic Development

Wang, Y.; Deng, Q., and Zhang, Y., 2020. Research on the coupling and coordinated development of marine technological innovation and marine ecological economic development. In: Zheng, C.W.; Wang, Q.; Zhan, C., and Yang, S.B. (eds.), Air-Sea Interaction and Coastal Environments of the Maritime and Polar Silk Roads. Journal of Coastal Research, Special Issue No. 99, pp. 419–427. Coconut Creek (Florida), ISSN 0749-0208.The development of modern marine ecological economy relies heavily on scientific and technological progress. The level of development of marine scientific and technological innovation capabilities can to some extent reflect the level of marine ecological economic development in a certain region and future innovation directions and space. Fujian Province is selected as the research object to construct an evaluation index system for marine technological innovation capabilities and marine ecological economic development. Based on the sample of Fujian marine technological innovation capabilities and marine ecological economic data from 2007 to 2016, a coupling model is established to calculate the coupling coordinated development status and changing trend of marine technological innovation ability and ecological economy. The results show that the coordination of marine technological innovation and marine ecological economic development in Fujian has gradually improved in the past decade, marine technological innovation provides growth momentum for marine ecological economic development, marine ecological economic development provides basic guarantee for marine technological innovation. Through the joint development of the two, the coordination degree of the two is improved, and the healthy and sustainable development of marine economy is promoted.

Technological innovation and sustainable development : Does the stage of development matter?

Technological innovation has generated much interest among scholars, practitioners, and policymakers as a critical instrument for achieving sustainable development. Although the relationship between technological innovation and sustainable development has been extensively discussed in the academic and policy circles, little studies have empirically examined the simultaneous impact of technological innovation on the three pillars of sustainable development. To fill this gap, the present study examines the ability of technological innovation to simultaneously promote economic progress and advance social and environmental conditions in the case of 75 low-, middle-, and high-income countries by demonstrating how this impact differs across the stages of economic development. From both long-run estimates and causality analysis, our findings reveal that technological innovation contributes simultaneously to the three pillars of sustainable development only in the case of rich countries; however, it only affects the economic and environmental dimensions in the middle-income countries, and no impact is found in the case of low-income countries. Future research directions, policy and managerial implications are also discussed.

The Relationship Between Technological Innovation Ability, Atmosphere and Innovation Performance

Under the influence of the action mechanism of the enterprise innovation atmosphere, a technological innovation ability has become the first choice for Chinese start-ups to improve their performance and upgrade their transformation. By collecting the survey data of 223 Chinese start-ups, this article uses the method of multiple hierarchical regression to explore the relationship between technological innovation ability, innovation atmosphere, and innovation performance. The results show that the technological innovation ability has a significantly positive influence on the innovation performance of the surveyed start-ups. At the same time, resource development ability, marketing ability, and learning ability all have significant positive effects on innovation performance. The innovation atmosphere is positively regulating the relationship between resource development capabilities, learning capabilities and innovation performance. The atmosphere of innovation negatively regulates the relationship between market capacity and innovation performance.

The Impact of Venture Capital on the Growth of Small- and Medium-Sized Enterprises in Agriculture

Small- and medium-sized enterprises (SMEs) are considered to have potential innovation capabilities and can create new market opportunities. Venture capital can financially support entrepreneurial activities for economic growth and governs and nurtures the growth of the SMEs. The aim of this study is to investigate the influence mechanism of venture capital on the development of SMEs in agri-food industry. Based on the enterprise growth theory, this study constructed an evaluation model, consisting of technological innovation, profitability, development capability, and solvency, to examine the effect of venture capital on the growth of agricultural SMEs. Using data of 40 agricultural SEMs from the SME and ChiNext boards in China, the empirical analysis has been conducted with the multivariate regression analysis method. The results show that the venture capital can significantly improve the technology innovation, profitability, and growth ability of SMEs. For the solvency of SMEs, the promoting role of venture capital is not obvious. Finally, the practical implications of this study for venture capitalists, entrepreneurs, and regulators are discussed.

Has technological innovation capability addressed environmental pollution from the dual perspective of FDI quantity and quality? Evidence from China

With China’s economy gradually entering a new stage of high-quality development, how to effectively improve the level of technological innovation, rational use of foreign investment, and reduce the level of environmental pollution have become important tasks of China’s ecological civilization construction. This study used panel data from 30 provinces in China from 2006 to 2016, using FDI quantity and FDI quality as threshold variables, and using the Hansen nonlinear panel threshold regression model to determine whether there is an EKC curve relationship between technological innovation capabilities and environmental pollution test. The results show that there is a complex nonlinear relationship between technological innovation capability and environmental pollution when taking FDI quantity and quality as dual thresholds. When the level of FDI is low, the capacity for scientific and technological innovation aggravates environmental pollution levels, while when the level of FDI crosses a higher threshold, the capacity for scientific and technological innovation improves environmental quality. However, with a further increase of the level of FDI, the positive effect diminishes to some extent. When FDI quality is low, technological innovation capability aggravates environmental pollution levels, but the impact is not significant. With an improvement in FDI quality, the positive effects of scientific and technological innovation ability on environmental pollution are strengthened. Our results can serve as a reference for effectively promoting scientific and technological innovation and for achieving green sustainable development.

Study Technological Innovation based on Cultural Dimension

Taking the technological innovative ability of Chinese multinational enterprises as the research subject, discusses the cultural dimensions of power distance, uncertainty avoidance, masculinity, long-term orientation, collectivism, time concept, hierarchy and the influence of cultural distance on technological innovative ability. The results show that power distance, long-term orientation, collectivism and masculinity positively affect the technological innovation of Chinese transnational enterprises and cultural distance negatively affects technological innovation of Chinese transnational enterprises and has a greater impact.

Prospective strategies for sustainable local economic development in support of the SDGs’ goals “inclusive and sustainable economic growth” in the border region of Indonesia – Timor Leste, Belu Regency, East Nusa Tenggara Province, Indonesia

In supporting inclusive and sustainable economic growth from the SDGs Program, Indonesia through the National Development Agenda (Nawacita) program takes a role in building border areas that are relatively isolated from relations with growth centers and centers of economic activity. The purpose of this paper is to formulate a sustainable local economic development (LED) strategy through a system approach, namely prospective analysis. Strategies developed based on scenarios that might occur in the future by considering the influence and dependence of key factors on competitiveness and performance. The results of prospective analysis are scenarios for developing LEDs through rural business incubator with an ability of technological innovation. This scenario is an optimistic scenario for establishing a rural business unit or known as BUMDes by taking into account the factors of competitiveness and performance. This scenario will occur if all the main competitiveness factors include technology innovation, rural business incubators, institutional cooperatives, product diversification and product marketing develop positively. Meanwhile, the operational recommendations from the chosen scenario are that the regional government needs to decide on a conducive policy to develop LEDs into professional and independent BUMDes. In addition, local governments need to operationally monitor and evaluate the main performance of BUMDes in order to increase economic growth in an inclusive and sustainable border region.