Innovation-driven Development Research Articles

Effectiveness Evaluation of Employment and Entrepreneurship Education Models in Colleges and Universities Based on Multiple Fuzzy Evaluation System

Abstract Employment and entrepreneurship education in colleges and universities is an urgent need for the national implementation of the innovation-driven development strategy and the promotion of economic quality and efficiency. In this paper, the entropy weight method is used to get the original index matrix for the evaluation of the effect of the employment and entrepreneurship education model in colleges and universities, and then the data are normalized to derive the weight value of the employment and entrepreneurship education model in colleges and universities. The fuzzy evaluation of the M college employment and entrepreneurship education model is derived by using multivariate fuzzy comprehensive evaluation according to the weight value. Lastly, the fuzzy evaluation of three colleges and universities in H is done using the fuzzy comprehensive evaluation model based on entropy weight and multivariate data. The experimental results show that B2 employment and entrepreneurship hard environment, B4 financial guarantee, and B9 student achievement evaluation of M colleges are all poor. After evaluating three colleges and universities in place H, it was found that the fuzzy evaluation results of students and experts in each index were consistent. The students of the 3 colleges and universities in place H were rated by employers in the areas of adventurous spirit, willpower, and crisis management at a score of 0.5-0.6 QC, which needs to be improved. Overall employers’ satisfaction with the entrepreneurial ability of students in these 3 colleges and universities is 0.69, 0.698, and 0.709, respectively, and the employment and entrepreneurship education model of colleges and universities in place H is effective.

The positive effects of the higher education expansion policy on urban innovation in China

<abstract> <p>Higher education not only enhances people's well-being, but also plays an important role in the in-depth implementation of the innovation-driven development strategy. In this paper, we use Chinese urban data for 1995–2020, utilizing the higher education expansion policy implemented in China in 1999 as an external shock. Using Double/Debiased Machine Learning (DML), we examine the impact of the aforementioned policy on urban innovation and its mechanisms. The results show that: (1) The higher education expansion policy significantly promotes urban innovation; (2) the policy promotes human capital expansion and strengthens government financial support, thereby significantly fostering urban innovation; (3) the impact of the policy varies across cities with different geographic locations, population densities and levels of marketization. Therefore, the findings of this paper provide empirical evidence that higher education expansion policy stimulates urban innovation. It also offers useful insights for China's transition from "Made in China" to "Created in China" during its high-quality development phase.</p> </abstract>

Analysis of School-Enterprise Cooperation Talent Cultivation Mode and Its Problems in Agricultural Colleges and Universities Involving Agriculture in the Era of Melting Media

Abstract School-enterprise cooperation and innovation is an essential support for the implementation of an innovation-driven development strategy. This study examines the stages of school-enterprise cooperation and innovation, underpinned by integrated media, through the lens of deep coupling theory. It categorizes the process into pre-, mid-, and post-stages. The pre-stage involves analyzing university agricultural programs to develop a credit network database identifying optimal school-enterprise pairings. The mid-stage focuses on enhancing knowledge exchange mechanisms to tightly integrate participating entities. The post-stage assesses the impact of these integrations, revealing a coordination degree of 0.416 among agricultural majors, suggesting that effective interaction mechanisms are yet to be established, occasionally leading to mutual constraints. This research informs strategies to foster robust school-enterprise collaborations in agricultural education.

RESEARCH ON THE REALIZATION MECHANISM OF THE KEY CORE TECHNOLOGY CAPABILITIES OF SPECIALIZED AND SPECIAL NEW ENTERPRISES

As China is currently facing technology bottlenecks, the transformation and development of key technologies are imminent. As a typical organization of breakthroughs in key core technologies and an important carrier of the national innovation-driven development strategy, how to achieve breakthroughs in key core technologies and the study of its intrinsic mechanism have become indispensable links. Our investigation and study revealed that the internal development mechanism of breakthroughs in the key core technologies of specialized and special new enterprises is often limited by the depth and breadth of policies, the weakness of the overall industrial chain, and backward enterprise management models. Based on the above problems, mechanism exploration from the macro, meso, and micro perspectives will help enrich the theoretical system of key core technologies and provide new development perspectives for the transformation and upgrading of specialized and new enterprises in this new situation.

Towards cities' green growth: The combined influence of economic growth targets and environmental regulations

Cities' green growth hinges on both sustained economic growth and ongoing ecological improvement. This study uniquely examines the roles of economic growth targets and environmental regulations in fostering this growth. Using China as a case study, we found that economic growth targets have a limited impact on cities' green growth due to varying outcomes from resource allocation strategies aimed at meeting these targets. A closer look at China's economic growth targets management model reveals that the pressures from meeting the ill-fitted economic growth targets often leads to green growth setbacks, with local governments prioritizing economic over green growth by relaxing environmental regulations. Therefore, we propose that cities can achieve a balance by setting realistic economic targets, with the central government enhancing oversight of local environmental regulations and adopting an innovation-driven development strategy for economic growth targets. This approach can make economic targets and environmental regulations work together to achieve green growth. Our empirical findings offer new insights into cities' governance for sustainable development.

Research on Business Environment Optimization Paths in Dali County of Weinan City

At present, competition in the local economy is becoming increasingly fierce, and the quality of the business environment directly affects a region's investment attractiveness, economic growth rate, and long-term sustainable development. As an important city in Shaanxi Province, Weinan City has been committed to economic transformation and upgrading. Among them, Dali County has gradually emerged due to its unique geographical, cultural, and resource advantages. In recent years, Dali County has achieved certain results in attracting foreign investment, supporting small and medium-sized enterprises, and innovation-driven development. However, to further enhance its competitive position domestically and internationally, it is imperative to continue to optimize its business environment. The article explores the business environment optimization path in Dali County, Weinan City.

Current Status and Features of the Development of Technoparks in Ukraine

Introduction. The R&D potential of innovation infrastructure entities is a key factor in the implementation of innovation-driven development of the national economy, with technology park being precisely the innovation structure that unites it, ensuring the functioning of the model.Problem Statement. Many aspects of regulatory, financial, and information framework of technoparks have been not settled so far. Methodological approaches to assessing the park efficiency have been underdeveloped. In this context, there is the necessity in the theoretical justification and the formation of a holistic view of the status and features of their activity in the conditions of the protracted aggression of the Russian Federation against Ukraine.Purpose. The purpose of the research is to analyze the problems of domestic technology parks, to identify their capabilities, and to determine the trends in their development under the present-day conditions.Material and Methods. The methods of dialectical and complex research have been employed: the empirical evaluation to identify the available methods of evaluating the activity of technoparks; the theoretical and cognitive analysis to determine the essence and to justify the features of technology parks; the general methods to identifymethodological problems of integrating technology parks into the financial system and describing approaches to the concept of an innovation form of business.Results. The development of technology parks in Ukraine, their government support, systematized criteria for evaluating their efficiency have been analyzed. It has been determined that the priority in the creation of technology parks should be given to industries with high export potential. It has been proven that technology parks minimize the duration of the "research-development-implementation" cycle, the main tasks for their improvement in Ukraine have been outlined.Conclusions. Technoparks are the most successful form of integration of science and production, which ensures rapid development, implementation, and use of innovations. Improving the legal framework for their operation in order to create the same operating conditions for all, not only for "selected" technology parks, increases competition between them, while modernizing the tax policy contributes to the growth of in-house sources of financing and their direction to the development of promising innovation projects.

A Study on the Relationship between Psychological Needs, Entrepreneurial Motivation and Entrepreneurial Performance of College Students’ Entrepreneurship in the Context of Digitization

Abstract Promoting entrepreneurship of high quality in the context of digitization is an important support for the in-depth implementation of the innovation-driven development strategy, and it is a necessary way to achieve fuller employment and employment quality. In this paper, starting from the hypothesis of correlation, we analyzed the reliability and validity of the design of the questionnaire. The fuzzy DEMATEL-SEM model was constructed by combining structural equation modeling and fuzzy decision-making experimental method, which can be utilized to realize the exploration of the correlation between entrepreneurial psychological needs, entrepreneurial motivation and entrepreneurial performance. The quantitative validation of the data is carried out through linear analysis, correlation analysis, regression analysis, and model analysis. The results show that the two-tailed significance test result of the importance of entrepreneurial psychological needs and entrepreneurial motivation is less than 0.01, the mean value of R2 of the model between entrepreneurial psychological needs and entrepreneurial performance of college students is 0.6355, and the direct effect of entrepreneurial motivation on entrepreneurial performance is 0.766. There is a clear positive correlation between entrepreneurial psychological needs, entrepreneurial motivation and entrepreneurial performance, and universities and colleges need to fully carry out entrepreneurship education activities to enhance students’ entrepreneurial awareness.

Study on the influence mechanism and level measurement of agricultural green development—A case study of China

Taking China as an example, this paper analyzes the impact mechanism of agricultural green development and constructs a measurement system of agricultural green development level. The system includes seven subsystems (ensuring food security, optimizing agricultural structure, improving market mechanism, innovation-driven development, building ecological civilization, inheriting traditional culture, and benefiting the people) and 55 measurement indicators. Empirical research was carried out using entropy method and gray correlation to measure the level of green development of China's agriculture, analyze its spatial distribution law, and divide it into three levels according to the development level, then analyze the regional characteristics of each grade. The research shows that the overall level of agricultural green development in China is relatively low, and the constraints are obvious. It is easy to ignore the value of agricultural green development, and the phenomenon of non-green development still exists. Therefore, we must attach great importance to the green development of agriculture, change agricultural production from the pursuit of quantity to the pursuit of quality in the past, formulate an effective path to promote the comprehensive level of agricultural green development in the whole ecological chain, and build a collaborative research institution and information monitoring platform for agricultural green development.

New Trends in Sustainable Development for Industry 5.0: Digital Green Innovation Economy

In the context of increasing anti-globalization trends, sustainable economic development has become an inevitable and feasible solution to address the growing contradictions between social, environmental, and economic factors. It aims to achieve a balance between the needs of the economy, society, and the environment, paving the way for long-term sustainable development. This article is rooted in the backdrop of severe global conflicts between the environment and economy, as well as society. By synthesizing and analyzing a wide range of literature, the article explores the pivotal role of digitalization, green practices, and innovation in driving sustainable economic development. The article emphasizes the interconnectedness and collaborative nature of digital empowerment, green leadership, and innovation-driven approaches in promoting harmonious coexistence between humanity and nature, as well as facilitating high-quality economic growth. Drawing insights from the "Taipao e-Agricultural Insurance" case study, the article demonstrates the benefits derived from the integration of digital, green, and innovation strategies, thereby providing valuable guidance for enterprises and industries seeking transformation and development. Furthermore, the article proposes viable strategies for achieving the integration of digital empowerment, green practices, and innovation-driven development. It offers a comprehensive analysis that expands the existing research on these topics and lays the foundation for future in-depth exploration. The findings of this article carry both theoretical and practical significance, offering valuable insights and practical approaches for achieving sustainable development in various sectors.

Artificial intelligence empowers enterprise innovation: evidence from China’s industrial enterprises

ABSTRACT Against the background of China’s economic transformation, it is of great practical significance to explore the impact of artificial intelligence on enterprise innovation to promote innovation-driven development strategies. Using patent data from Chinese industrial enterprises and robot data provided by the International Federation of Robotics, this study empirically tests the impact of artificial intelligence on improving the innovation abilities of Chinese enterprises. The study finds the following: (1) Artificial intelligence significantly improves enterprise innovation, and this conclusion remains valid after robustness tests. (2) Artificial intelligence optimizes the skill structure of the enterprise labour force, increases enterprise R&D expenditure, and strengthens the technology spillover effect, thus improving enterprise innovation. (3) The domestic market and the development of the Internet have further strengthened the role of artificial intelligence in promoting enterprise innovation. (4) Artificial intelligence is more helpful in promoting the innovation ability of technology-intensive, general trading, mixed trading, and non-state-owned enterprises. This study provides important policy implications for promoting the deep integration of artificial intelligence and real economy and realizing high-quality economic development.

An Improved Gradient Enhancement Regression Tree Method to Evaluate the Innovation Capability of Energy Companies

In recent years, with the introduction of the innovation-driven development strategy, audit departments across the country have actively responded by arranging audit experts to assess the innovation capabilities of enterprises based on their information. They have also studied the impact of implementation on innovation indicators in energy enterprises, aiming to accurately implements to support enterprises and drive regional development. Traditional manual evaluation methods are inefficient and prone to human interference. By using a gradient boosting regression tree model to construct a scoring prediction model, instead of manual evaluation methods, both accuracy and efficiency can be ensured. Experimental results show that this prediction model outperforms other models such as random forest regression and can guarantee prediction accuracy.

Can regional environmental quality improve green innovation performance? an empirical analysis from China

Introduction: Green innovation is an important driving force for reducing pollution and achieving high-quality development. Environmental factors are important external variables that affect innovation and are crucial to innovation development. There is a close relationship between environmental quality and green innovation performance. This paper takes the single environmental factor and combination of environmental factors of environmental quality heterogeneity as the explanatory variables, the traffic scale, economic scale, industrial scale and consumption scale as the control variables, and the per capita GDP of each city as the threshold variable, and calculates the impact of the single environmental factor and combination of environmental quality factors on the green innovation performance of 286 cities in China under different per capita GDP thresholds.Methods: We used Data Envelopment Analysis (DEA) and Threshold Regression model to measure the relationship between environmental quality and green innovation.Results: 1) under different thresholds, a single environmental factor has different impacts on the comprehensive level of innovation drive in Chinese cities. Comparing the single environmental factor under different threshold values of per capita GDP, when the per capita GDP is low, attention should be paid to improving the centralized treatment rate of urban sewage treatment plants and the comprehensive utilization rate of general industrial solid waste; When the per capita GDP is high, the harmless treatment rate of domestic waste, the centralized treatment rate of sewage treatment plants, the green coverage rate of the built-up area, and the green area can all have different promotion effects on the driving capacity of cities along the line. 2) Under different thresholds, the elasticity coefficient of the total ecological environment, the total ecological environment has a relatively obvious promoting effect on the innovation-driven development of cities along the line, but this promoting effect shows a further weakening trend with the increase of per capita GDP.Conclusion: This study helps to explain environmental quality and green innovation, which is important for promoting sustainable economic development. The government should control environmental pollution and introduce laws and policies to ensure innovation.

Spatial effects of innovation ecosystem development on low-carbon transition

In the context of innovation-driven development, the effective transformation of the low-carbon economy increasingly relies on the innovation ecosystem in which it exists. In order to explore the spatial effect of the innovation ecosystem on low-carbon transformation, this study comprehensively measures the innovation ecosystem and low-carbon transformation level based on China’s provincial panel data from 2015 to 2020 and use the spatial Durbin model to analyze the impact of the innovation ecosystem on low-carbon transition. The main conclusions are as follows: (1) There is apparent spatial heterogeneity in the development of innovation ecosystems, and the development pattern shows “cluster-type” agglomeration characteristics. However, the development level gap between provinces has remained the same. The southeast coastal economic zone has become an essential high-level development level of innovation ecosystems. (2) The innovation ecosystem has a significant spatial spillover effect on low-carbon transition. This conclusion still holds after multiple robustness tests. (3) In the process of low-carbon transition, the driving effect of the innovation ecosystem shows a “U” shaped stage characteristic of first decreasing and then increasing. (4) The impact of the innovation ecosystem on low-carbon transition varies within different economic circles. Spatial spillover has a boundary effect and the spillover peaks at 1200 km. This study provides theoretical support and empirical evidence based on China’s situation for transforming and developing a low-carbon economy. It provides important policy implications for accelerating low-carbon technological innovation, promoting sustainable development, and responding to climate change.

The Relationship between Alumni Network and Exploratory Innovation: The Mediating Role of Enterprise Risk-Taking

In an increasingly open innovation environment, executives, as the core of corporate management and the main body of decision-making and execution, play a significant role in implementing innovation-driven development strategies. Based on executives’ educational background, we constructed an executive alumni network platform using data from Chinese A-share listed companies from 2007 to 2019, and calculated the centrality indicators. The aim was to comprehensively explore the relationship between alumni networks and exploratory innovation in enterprises, and examine the mediating effect of enterprise risk-taking. Empirical results show that executive academic background networks can promote the development of exploratory innovation activities in enterprises. In other words, these networks provide the social relationships and trust foundation necessary to support innovation effectively. Enterprise risk-taking plays a mediating role in the relationship between alumni networks and exploratory innovation, underscoring the importance of risk-taking. Further research reveals that alumni networks have a significant positive impact on the sustainability of innovation, emphasizing the long-term value for corporate innovation. These findings demonstrate that alumni networks play a critical role in corporate innovation activities and provide theoretical support for advancing research in corporate innovation and sustained development.

Can digital transformation improve the quality of enterprise innovation in China?

PurposeDigital transformation and innovation-driven development have become an international consensus. The purpose of this paper is to examine the effects of relationships, mechanisms and economic consequences between digital transformation and enterprise innovation quality in order to provide a benchmark for developing countries to implement digital transformation strategies and innovation-driven strategies and provide a major support for economic recovery in the post-coronavirus disease 2019 (COVID-19) era.Design/methodology/approachUsing microdata from A-share listed enterprises in Shanghai and Shenzhen from 2010 to 2021, this study examines the relationship between digital transformation and enterprise innovation quality and further reveals the internal logic and economic consequences of digital transformation to improve enterprise innovation quality through the mediating effect and moderating effect models.FindingsThe results demonstrate that digital transformation is beneficial for improving enterprise innovation quality. The heterogeneity test demonstrates that digital transformation has a larger effect on improving enterprise innovation quality in non-state-owned enterprises and eastern enterprises in China. The mechanism test demonstrates that digital transformation can improve enterprise innovation quality by improving internal control quality and analyst attention. Furthermore, with the increase in enterprise innovation inputs, digital transformation plays a significantly stronger role in improving enterprise innovation quality. The extended analysis demonstrates that digital transformation can significantly improve enterprise financial performance by improving innovation quality.Research limitations/implicationsFirst, the construction of the core explanatory variable digital transformation index in this study is based on the Python data analysis software, which calculates the frequency of digital transformation in the text of the business situation analysis portion of the annual report of the listed companies and then obtains the degree of digital transformation of the company in this year. There may be some deviation from the degree of digital transformation in the actual production and operation of enterprises. Second, in addition to internal control quality and analyst attention, are there other mediating mechanisms for the impact of digital transformation on the quality of enterprise innovation? Third, whether the moderating effect of innovation input on digital transformation and innovation quality is related to human capital factors of the research and development (R&D) team, such as the technical background of R&D personnel, etc.Originality/valueThis study enriches the relevant theories of digital transformation and broadens the research boundaries of digital transformation and enterprise innovation. This study's result provides an empirical basis for enterprises to improve enterprise innovation quality and financial performance from the perspective of digital transformation at the micro level and points out specific practical directions, combining theory with practice.

Study on the impact of R&D input intensity on technological innovation output - Based on data from China's high technology industry.

With the continuous promotion of China's innovation-driven development strategy, the role of technological innovation on economic development has become increasingly important. In this context, the support of R&D capital investment for technological innovation also becomes non-negligible. This leads to the question of whether the allocation of R&D capital is reasonable and whether there is room for further improvement. This paper is based on inter-provincial panel data from 2009 to 2020, which are classified based on China's National Bureau of Statistics for R&D funding sources in high-tech industries and incorporated into an overall discussion framework. Using STATA16 statistical software, the R&D innovation output of high-tech industries is inves-tigated by building a PVAR model with the perspective of funding sources of R&D input intensity. The study results show that (1) the increase in the intensity of enterprises' own capital investment has a positive impact on innovation output because it can generate a financial "reservoir" effect to support technological innovation. (2) the increase in the intensity of government capital invest-ment has a positive impact on innovation output because it can alleviate the loss of income of en-terprises due to "R&D spillover" and will send a positive signal to the market. (3) the foreign in-vestment intensity has a positive impact on the innovation output of enterprises due to the com-bined effect of "spillover effect" and "crowding out effect". (4) the increase of other capital in-vestment intensity also has a neutral effect on the increase of innovation output under the current financial market environment. Finally, based on the above findings, corresponding policy impli-cations are drawn. This study will help to improve the understanding of R&D capital allocation imbalance and R&D input and output issues in developing countries and provide a reference for policy makers.

Relation-based governance, financial crisis shock, and economic growth in China

The relationship between relation-based governance and economic growth has drawn much academic attention; however, previous studies have not fully recognized the causal effect between them from the perspective of development stages. Based on government–enterprise relations, this study first defines relation-based governance by the days enterprises deal with the government. It takes the shock of the 2008 global financial crisis as a quasi-natural experiment to investigate the impact of relation-based governance on China's economic growth with the generalized difference-in-differences approach. Using panel data of Chinese cities from 2003 to 2018, we find that after the shock of the global financial crisis, as China shifted from an extensive development stage to an innovation-driven development stage, relation-based governance significantly hindered economic growth and cities with a stronger dependence on relation-based governance exhibit decreasing economic growth. Further analysis reveals that the key mechanisms involve excluding rule-based governance and weakening enterprise innovation respectively.

New whole-nation system and the national innovation system: Historical evolution and synergistic experience

The national innovation system must take on the national mission of innovation-driven development and scientific and technological self-reliance, while facing the transformative challenges of global competition for technological monopolies and the challenge of digital evolution of innovation paradigm in large countries, which puts forward a new strategic conception for the transformation of the national innovation system in the new era. In order to explore a new models of technology governance with Chinese Characteristics, we review the interactive process and characteristic experiences between the national innovation system and the overall system, and finds that they synergistically constitute the governance foundation of national innovation development under the impetus of digitization, which promotes the digital transformation of the national innovation system as well as leads the change of the national innovation mechanism. The above study further establishes a logical connection between national innovation theory and digital innovation theory, and useful exploration in further promoting the deepening reform of the national innovation system.

The impact of R&D investment on the new orders received by the shipbuilding enterprises under the background of innovation-driven development

ABSTRACT Using the panel data of listed shipbuilding enterprises from 2010 to 2021 all over the world, this paper empirically studies the impact of Research & Development investment on new orders received by shipbuilding enterprises using the panel fixed effect model and the threshold regression model. The results show that R&D investment has a positive impact on the new order of high-tech and high-value-added ships in shipbuilding enterprises. R&D investment has a time lag effect on the new orders and a non-linear relationship with the newly received orders. The 1-year lagged R&D investment has a single threshold effect on the newly received orders of liquid tankers. When the R&D investment intensity exceeds the threshold, the positive impact on the newly received orders is weakened. To be specific, when the excessive R&D investment intensity does not match the scientific research capacity of shipbuilding enterprises, enterprise resources will be mismatched. Therefore, shipbuilding enterprises should increase their investment in R&D if they want to build more high-tech and high-value-added ships. At the same time, enterprises should also pay attention not to blindly strengthen the R&D investment, but to keep it within a reasonable range, so that resources can be allocated appropriately.