Technological Innovation Ability Research Articles

Can Environmental Information Disclosure Improve Urban Green Economic Efficiency? New Evidence From the Mediating Effects Model

Environmental information disclosure is one of the important ways to realize urban sustainable development. This study explores the transmission mechanism between environmental information disclosure and urban green economic efficiency (UGEE) and solves the “black box” system between them. In this method, first, the urban green economic efficiency is calculated using the data envelopment analysis model with undesirable output. Second, the panel data model and the mediating effects model are employed to test the impact of environmental information disclosure on urban green economic efficiency and the possible mediating variables. The main conclusions of this study are as follows: 1) Environmental information disclosure significantly improves urban green economic efficiency, and reducing industrial pollutant emission and improving technological innovation are the significant transmission mechanisms. (2) There is a U-shaped curve relationship between environmental information disclosure and urban green economic efficiency and environmental information disclosure and technological innovation. On the contrary, there is an inverted U-shaped curve relationship between environmental information disclosure and industrial pollutant emission. 3) Environmental information disclosure has a greater sustainability effect in industrial cities. The conclusion shows that environmental information disclosure can improve the efficiency of urban green economy by improving the ability of urban technological innovation and reducing the emission of industrial pollutants. Environmental information disclosure plays a role of “restraining first and then promoting” to sustainable development. This research provides a reference for how to lessen information asymmetry and reduce negative externalities in the formulation of environmental regulatory policies.

Investigation and Analysis of students' Technological Innovation Ability in Vocational Colleges

With the rapid development of social economy and science and technology, scientific and technological innovation as one of the basic skill requirements of college students, especially for higher vocational college students, having certain scientific and technological innovation ability will be able to meet the development needs of enterprises. In order to better understand the current situation of students' scientific and technological innovation ability in higher vocational colleges, this paper conducts a questionnaire survey on specific samples of students in higher vocational colleges. The collected data include students and graduates, which can effectively obtain the analysis results of data. The results of the questionnaire survey in this paper will provide some basic data support for the cultivation of students' scientific and technological innovation ability in higher vocational colleges, and provide some help for the related education and teaching research and teaching reform.

Promoting Competitiveness of Green Brand of Agricultural Products Based on Agricultural Industry Cluster

Agricultural industrial clusters are the basis for the formation of regional brands of agricultural products and also an effective way to enhance the regional brand value and competitiveness of agricultural products. Based on the agricultural industry cluster, carry out regional brand building of agricultural products, emphasizing that the production of agricultural products from raw material bases to product sales in specific administrative areas, and even the collaborative production services of relevant agricultural technology research and development institutions are connected to the local network, establishing a regional first-class agricultural product brand. The brand grows with the development of regional production bases. Therefore, this paper is aimed at exploring the research on the promotion of green brand competitiveness of agricultural products based on the theory of agricultural industrial clusters, analyzing the internal connection between agricultural product agglomeration effect and brand competitiveness, and exploring its advantages and disadvantages. Using this strategy, this paper will use the research method of specific analysis of specific problems, design an analysis model construction experiment based on the influencing factors of agricultural industrial clusters, and draw experimental conclusions through the analysis and comparison of experimental data. Through theoretical innovation and exploration, a model for the rapid development of green agricultural product brands can be found. The results show that the use of questionnaires to explore the differences in the planting characteristics of green agricultural products in industrial clusters can account for 35% of the brand competitiveness, promote the rapid development of the brand, and enhance the technological innovation ability by 19%. Therefore, combined with the characteristics of the current era, with the help of the national agricultural aid policy, fully absorb the transformation, actively innovate, and improve the level of agricultural cultivation. Analyze different application difficulties, explore development prospects, give full play to the competitiveness of agricultural products, realize high-yield green crops, use these theories as a guide to innovate and integrate, provide valuable experience clusters for the wide application of agricultural industrialization, and achieve sustainable regional economic structure and ecological environment.

Construction and Path Analysis of Enterprise Green Technology Innovation Model Using Data Mining

With the rapid increase of resource consumption and ecological protection demand, the economic growth model of China has also changed to focus on efficiency and quality. In the future, the circular economic model will be the main direction of sustainable development. According to the analysis of international development trends, green consumption has become the development trend of the times. Some developing countries also put forward the concept of green trade in the process of trade. It results in a severe living environment and challenges for some Chinese enterprises. For this challenge, China should grasp the economic development trend and change the business model by adopting the green technology innovation model. It will reduce consumption and pollution, improve efficiency, and, also, build the enterprise green technology innovation model to greatly improve the production efficiency and resource utilization of the enterprises. This paper uses data mining technology to establish a mathematical model of cluster analysis. It describes the process of enterprise technological innovation in detail and analyzes the power source of enterprise technological innovation and several commonly used models. Through this model, the enterprise technological innovation ability can be comprehensively improved. It focuses on the analysis of the enterprise green technology innovation path based on data mining. It analyzes the enterprise green technology innovation path from the points of reducing transaction costs and improving the allocation efficiency of innovation elements. According to this path, the enterprise transaction costs can be reduced to a certain extent and the allocation efficiency of enterprise elements can also be realized.

Research on the coupling and coordination of green finance, higher education, and green economic growth.

Green finance is the main way to solve financing problems and support green technology innovation. The development of higher education is the source of innovative human capital and a key factor in promoting green economic growth. Studying the relationship between the three is an important realistic meaning for achieving green economic growth. Based on the idea of system coupling, this paper adopts the analysis method of the three-system coupling coordination model. This paper constructs a three-system coupling model, which incorporates green finance, higher education, and green economic growth into a unified framework, and based on a comprehensive review of the interaction and mechanism, the degree of system coupling is analyzed from the regional and provincial levels. Conclusions of the study are as follows: (1) the composite indexes of green finance, higher education, and green economic growth are all on the rise. The highest increase has been found in the index of higher education. In addition, the green finance index has also shown an accelerated upward trend in recent years, and green economic growth index has also shown a steady rise in recent years. (2) The upward trend of the coupling degree is relatively observable, but the overall coupling degree is still at low level. The coupling state has jumped from the low-degree coupling stage to the primary coupling stage, and the coupling degrees of the three major regions all show a fluctuating rising trends, but there are apparent regional differences. The degree of coupling between the eastern region and the other two regions is quite different. (3) During the sample period, the degree of coordination between green finance, higher education, and green economic growth in each province has increased to varying degrees. The degree of coordination in the eastern region is the best, the western region is the worst, and the central region is somewhere in between. The study concludes with implications for the protection of the environment. Finally, based on the empirical analysis results, this paper puts forward corresponding countermeasures and suggestions from the perspectives of improving the ability of green technology innovation, promoting the development of green finance and the high-quality development of higher education, and hoping to provide theoretical reference for the coordinated development of China's regional economy.

Does carbon financial market as an environmental regulation policy tool promote regional energy conservation and emission reduction? Empirical evidence from China

Based on the panel data of prefecture-level and above cities in China, this paper uses a combination of Difference-in-Difference and trajectory balancing methods to investigate the energy conservation and emission reduction effects of the carbon financial market as an environmental regulation policy tool. The results reveal that: (1) The energy consumption per unit of Gross Domestic Product experienced a significant decline after the implementation of carbon emission trading market policy in 2013. The carbon market policy has continuous positive effects on energy conservation and emission reduction. (2) There was no significant difference in energy consumption per unit of Gross Domestic Product in pilot cities and non-pilot cities before the implementation of the carbon emission trading policy. (3) Through the specific analysis of each pilot city via trajectory balancing method, all pilot areas produced energy conservation and emission reduction effects to different degrees. The energy conservation and emission reduction effects in Tianjin and Chongqing after the policy implementation were particularly obvious. Finally, we propose that China should adhere to the carbon trading policy of "market decision and government regulation", speed up the construction of carbon financial market, implement relevant policies according to regional differences, speed up the adjustment of regional industrial structure and improve the technological innovation ability of enterprises.

Factors Affecting the Evolution of Technical Cooperation among “Belt and Road Initiative” Countries Based on TERGMs and ERGMs

The Belt and Road Initiative (B&R), was initiated by China in 2013, and it covers over 60% and 30% of the world’s population and GDP, respectively. The initiative has directed a great deal of investment in energy, transportation, and 5G. Whilst much attention has been focused on cooperation in international trade, technological cooperation in the form of patents has been largely ignored. This paper investigates the formation of technological cooperative relationships among B&R countries within a technical cooperation network. Comprehensive consideration of various factors between participating countries was undertaken, using statistical methods from social network analysis theory. The node attributes and relations between countries and the network structure were studied in a sequence of network analyses using temporal exponential random graph models (TERGMs) and static exponential random graph models (ERGMs). The main findings suggest that research ability, financial ability, technological innovation ability, technological spillover proximity, geographical proximity, and technical proximity have an impact on participation in technical cooperation between B&R countries. Research ability, technological spillover proximity, geographical proximity, and technical proximity have a positive influence on the development of cooperation. However, the financial and technological innovation ability of a country does not actively promote the development of cooperation. The entire cooperation network structure does not have a greater aggregation effect compared with a random network, and intermediary multi-path cooperation is not obvious. This paper analyzes the driving factors for technological cooperation through a systematic study of the characteristics and relationships of B&R countries, and also of the network characteristics among B&R countries. The results of our analysis show that the characteristics of technical cooperation in the B&R region provide a reference for the study of international technical cooperation.

Influence of Enterprise Culture Construction on Technological Innovation Ability Based on Deep Learning

To better conform to the development trend of economic globalization, modern enterprises need to continuously innovate in technology, so as to provide enterprises with better products. The technological innovation level of economic innovation subjects is rising day by day, and the technological innovation level of enterprises has become more and more prominent. An excellent corporate culture will help technological innovation. The company uses corporate culture to shape its corporate image and spirit, thereby creating an atmosphere for technological innovation and bringing success to technological innovation. Corporate culture and technological innovation are two important elements to strengthen the company’s core competitiveness, which directly affect the company’s sustainable development level. Based on the previous analysis, we constructed an integrated model of corporate culture and technological innovation based on deep learning methods, analyzed the effect of corporate culture construction on corporate technological innovation capabilities, and sought measures to establish corporate culture.

Technical Efficiency and Its Influencing Factors of the Three Major Urban Agglomerations in Eastern China<br/>—Based on DEA-Tobit Model

In recent years, the development of metropolitan region not only contributes to the transformation of China’s economic growth model, but also becomes an increasingly important way to build a new double-cycle pattern. Among them, the Beijing-Tianjin-Hebei Metropolitan Region, Yangtze River Delta and Pearl River Delta urban agglomerations, as the core strategic area of national economic growth and an important part of regional coordinated development, effectively improve the allocation efficiency of various production factors, promote their technical efficiency, and play an important role in leading the high-quality economic development of the region and even the whole country. Based on the input-output data of relevant provinces from 2010 to 2020, this paper adopts DEA model and Malmquist index method to carry out static and dynamic evaluation on the technical efficiency level of the three city agglomerations. In addition, Tobit model is used to examine the influencing mechanism of the technological efficiency of each province and city in the three urban agglomerations by adopting five factors including government support, technological innovation ability, quality of laborers, wage status of employed personnel and informatization level, and put forward countermeasures and suggestions for further improving the technological efficiency of each urban agglomerations.

Research on the Promotion Strategy of Scientific and Technological Innovation Ability in Guangdong Vocational Colleges from the Perspective of “Double High” Construction

Improving the technological innovation ability of vocational colleges is a necessary condition for more precise docking of industrial needs and deeper development of school-enterprise integration, which is of great significance for deepening the connotation of “double high” construction. After investigating the mode of improving the scientific and technological innovation ability of vocational colleges in Guangdong, the experience and practice are refined and summarized, and the factors affecting the development of the mode, such as the backward basic conditions of scientific research, the weak consciousness of teachers in scientific research, and the lack of effective mechanism to guarantee the continuous innovation ability of the school-enterprise collaborative innovation platform, are clarified. Some suggestions are put forward that vocational colleges should increase the investment in scientific research and the education of scientific and technological talents, create a good scientific research atmosphere and innovate the cooperation mechanism of scientific research between universities and enterprises.

Board Governance, Financing Constraints and Technological Innovation: Empirical Evidence from Parent Companies of Enterprise Groups

Based on the sample of A-share group listed companies and their parent companies from 2015 to 2019, this paper empirically analyzes the relationship among board governance, financing constraints and technological innovation using the intermediary effect model. The results show that improving the board governance level of the parent company can significantly improve the innovation capability of enterprise groups. The financing constraint plays a partial intermediary role in the relationship between the board governance of the parent company and technological innovation, that is to say, the improvement of the board governance of the parent company can effectively alleviate the financing constraint problem faced by enterprise groups to a certain extent, and then enhance the group’s technological innovation ability. Therefore, in order to improve the technological innovation ability of enterprise groups, enterprise groups should further optimize the governance level of the board of directors of the parent company, reduce operating costs, and relieve the financing pressure faced by enterprise groups in the process of innovation.

Research on the Path of Improving the Technological Innovation Ability of Chinese Pharmaceutical Industry Based on Technology

Based on the perspective of professional knowledge and professional technology, this paper focuses on the path to improve the technological innovation ability on the technical level, and provides advice and reference for promoting the pharmaceutical industry to achieve the improvement of technological innovation ability and the structural upgrading of the entire industry. It is found that in the project approval process of innovation subject, the key is to realize the guiding role of market demand on the project approval process of scientific research. In the research and development of innovative drugs, it is necessary to focus on the adaptation and transformation of laboratory technology in scale-up production. In the process of innovation achievement delivery and transformation, the focus is to truly complete the extension from the patent application stage to the product launch stage.

Analysis of the Comprehensive Evaluation Model of Enterprise Technological Innovation Ability Based on Improved Genetic Algorithm

In an environment where technology is developing rapidly, product life cycles are constantly shortening, competition is increasing, and innovation resources are easily acquired by other competitors, it is particularly important for companies to successfully implement technological innovation. It is of great significance for companies to find the weak links of their technological innovation and prioritize improvement and enhancement of their technological innovation capabilities. As the main body of the agricultural machinery industry, private agricultural machinery enterprises are playing an increasingly important role. A correct understanding of the technological innovation activities of private agricultural machinery enterprises and the establishment of a reasonable evaluation index system for technological innovation capabilities are of great significance to the technological innovation management of private agricultural machinery enterprises. In accordance with the theory of technological innovation and the characteristics of private agricultural machinery enterprises, a technical innovation evaluation index system for private agricultural machinery enterprises has been established. The indicator system starts from the concept of private agricultural machinery enterprises, analyzes the status quo and development trend of the agricultural machinery industry, and takes private agricultural machinery enterprises in Heilongjiang Province as the research object. It summarizes the status quo and characteristics of technological innovation of private agricultural machinery enterprises and then establishes the private agricultural machinery enterprises. The system starts from the aspects of innovation resource input, innovation output, technology density, innovation effect, market realization, and innovation tendency, and selects 16 specific evaluation indicators. According to the established capability, projection pursuit is adopted. The method combined with the genetic algorithm and the genetic algorithm in MATLAB and the direct search toolbox were employed to comprehensively charge the capabilities of the five sample enterprises, and the evaluation results were objective and credible.

珠三角地区科技创新与生态环境的耦合协调发展研究

PDF HTML阅读 XML下载 导出引用 引用提醒 珠三角地区科技创新与生态环境的耦合协调发展研究 DOI: 10.5846/stxb202106051488 作者: 作者单位: 作者简介: 通讯作者: 中图分类号: 基金项目: 第三次新疆综合科学考察项目(2021xjkk0904)；教育部人文社会科学研究规划基金项目(21YJAZH087) Coupling and coordinated development between technological innovation and ecological environment in the Pearl River Delta region Author: Affiliation: Fund Project: The National Natural Science Foundation of China,41601151 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:探究科技创新与生态环境之间的耦合协调关系,是当前我国高质量发展过程中亟待解决的关键问题。通过探讨科技创新与生态环境的耦合协调机制,构建两者的综合评价指标体系,借助物理学耦合协调度模型定量测算2007-2018年珠三角地区科技创新与生态环境的耦合协调度,并对其时空演化特征进行探讨分析。结果表明:珠三角各市的科技创新综合指数与生态环境综合指数均呈现不断上升的趋势,且两者耦合度、耦合协调度也呈现出由低水平向高水平的演进特征。在空间分布上,珠三角地区科技创新与生态环境的耦合协调度呈现出以珠江入海口城市"广深佛莞"为中心,向两侧递减的空间格局。在作用类型上,珠三角多数城市在2007年的科技创新能力起到明显地滞后作用,但随着时间的推移,城市创新能力不断增强,与生态环境之间达到基本协调,甚至高级协调水平;而肇庆市发展相对缓慢,仍处于"基本失调-科技创新受阻型"。以区域高质量发展为引领,通过加大创新要素投入、控制污染物排放、合理布局生态用地等方法提高生态创新,有助于未来珠三角实现科技创新与生态环境协调可持续发展。 Abstract:It is vital for China to investigate the coupling and coordination relationship between technological innovation and ecological environment to accomplish its high-quality development strategy currently. In order to solve the question mentioned above, this paper firstly elaborated the mechanism process of the coupling and coordination relationship between technological innovation and the ecological environment. After that, the paper chose the Pearl River Delta region as the study area. A comprehensive evaluation indicator system was constructed to evaluate the situation of technological innovation and ecological environment in the Pearl River Delta region from 2007 to 2018. Subsequently, we quantitatively calculated the coupling coordination level between technological innovation and ecological environment with the help of coupling coordination degree model of physics. What's more, the paper analyzed and discussed the spatiotemporal evolution characteristics of their coupling coordination development situation in the Pearl River Delta region. Our findings are as follows. Firstly, both the situation of technological innovation and ecological environment showed a gradual upgrade trend in all cities of the Pearl River Delta from 2007 to 2018. More importantly, the coupling degree and the coupling coordination degree between technological innovation and ecological environment also presented the positive characteristics that moved from low level state to more advanced state. As for spatial distribution, the coupling coordination degree between technological innovation and ecological environment in the Pearl River Delta region showed a significantly spatial pattern which descended from the core region to the periphery, meanwhile, Guangzhou, Shenzhen, Foshan and Dongguan such developed cities are situated in the central area. In terms of coupling and coordinated types, although most cities' technological innovative ability hindered the improvement of coupling coordination degree between technological innovation and the ecological environment after 2007, the innovation ability of cities has been continuously captured with the ecological environment which pushed the coupling coordination degree to reach the basic coordination or even advanced level as time goes on. However, the development of Zhaoqing was slow compared with other cities, and it still belonged to the basic imbalance-technological innovation hindered type during the study period. Therefore, under the guidance of regional high-quality development strategy, we concluded several developmental strategies for the Pearl River Delta to implement the coordinated and sustainable development of technological innovation and ecological environment, for example, improving ecological innovation by increasing investment in innovation factors, controlling pollutant emissions and reasonably maintaining ecological land. 参考文献 相似文献 引证文献

A Public Health-Oriented New Energy Industry Competitiveness Evaluation.

This paper develops a regional new energy industry (NEI) competitiveness evaluation index system based on the theoretical framework of the “diamond model” and the unique characteristics of the new energy industry and made an empirical analysis of Jilin province with analytic hierarchy process (AHP) and fuzzy comprehensive evaluation method. The analysis results show that the new energy industry in Jilin Province has a good foundation, and the government's role, talent support, technological innovation, and market factors are acceptable. However, due to location factors and resource endowments, regional GDP and per capita consumption expenditure are low. The lack of intrinsic motivation of industrial competitive advantage has resulted in the poor overall competitiveness of the new energy industry in Jilin Province. Then, it is advised to take targeted measures to work closely with national NEI development strategy, optimize the industrial technology innovation ability and the talent support, actively guide social capital flows and new energy consumption, optimize regional energy consumption structure and industrial structure by creating a complete NEI chain, and revitalize the whole economy.

Evaluation of biomedical industry technological innovation ability based on a grey panel clustering model.

Technological innovation in the biomedical industry is the basis for improving the core competitiveness of the biomedical industry and promoting the high-quality development of the industry. However, the technological innovation capacity of China's biomedical industry is not balanced, and there are great differences between regions. Therefore, accurately grasping the status quo of technological innovation in China's biomedical industry and assessing regional differences are of great significance and effect for the country to formulate targeted policies and systems. In view of this, this paper designs a two-stage biomedical industry technological innovation capability evaluation index system from the perspective of the innovation value chain. According to the panel data of China's biomedical industry from 2012 to 2018, a grey relational clustering model based on panel data is constructed and used to evaluate the technological innovation capability of China's biomedicine industry from two dimensions: the level of technological research and development and the ability to transform technological achievements.

Research on the environmental regulations for green technology innovation and the moderating role of political connection

Under the condition of severe environmental pollution and the great pressure of government regulation, the performance of Chinese enterprises in green technology innovation deserves attention. Previous studies pointed out that political connection could provide scarce resources for enterprises to enhance their competitiveness, so as to promoted their green technology innovation ability. Based on the data of 260 Chinese listed enterprises from 2016 to 2020, this study illuminates the relationship between environmental regulation and green technology innovation, and further investigates the moderating role of political connection. The results show that environmental regulation significantly promoted green technology innovation of Chinese enterprises. Besides, the positive effect was strengthened year by year. Political connection played a crucial role in stimulating green technology innovation and negatively moderated the positive effect of environmental regulation on green technology innovation. The research conclusions offer a fresh ideological line for using the relationship between Chinese government and enterprises to influence enterprises’ green technology innovation under the concept of green economic development.

Analysis on the related factors of China's technological innovation ability using greyness relational degree

PurposeIn order to make grey relational analysis applicable to the interval grey number, this paper discusses the model of grey relational degree of the interval grey number and uses it to analyze the related factors of China's technological innovation ability.Design/methodology/approachFirst, this paper gives the definitions of the lower bound domain, the value domain, the upper bound domain of interval grey number and the generalized measure and the generalized greyness of interval grey number. Then, based on the grey relational theory, this paper proposes the model of greyness relational degree of the interval grey number and analyzes its relationship with the classical grey relational degree. Finally, the model of greyness relational degree is applied to analyze the related factors of China's technological innovation ability.FindingsThe results show that the model of greyness relational degree has strict theoretical basis, convenient calculation and easy programming and can be applied to the grey number sequence, real number sequence and grey number and real number coexisting sequence. The relational order of the four related factors of China's technological innovation ability is research and development (R&D) expenditure, R&D personnel, university student number and public library number, and it is in line with the reality.Practical implicationsThe results show that the sequence values of greyness relational degree have large discreteness, and it is feasible and effective to analyze the related factors of China's technological innovation ability.Originality/valueThe paper succeeds in realizing both the model of greyness relational degree of interval grey number with unvalued information distribution and the order of related factors of China's technological innovation ability.

Preface

At present, COVID-19 is still having an enormous impact in global areas. International or long-distance travels are still risky. In consideration of the safety of all speakers and participants, the 2nd International Conference on Advanced materials and Intelligent Manufacturing (ICAMIM 2021) had been held online via Zoom on August 20-22, 2021.As the material precursor for the emerging strategic emerging industries, advanced materials have become the key focus and core technology of international competition. Meanwhile, the development of advanced materials and their corresponding technologies and industries has also being regarded as “national development strategy” for the world’s leading countries and gradually developed into a new “trump card” in the game between countries. Intelligent manufacturing, with the most technological innovation value, is along with a high-level knowledge and technology in the equipment manufacturing industry, a high-degree of integration and application on core technologies, new materials and components. What’ more, intelligent manufacturing embodies the comprehensive strength of scientific and technological innovation ability, manufacturing technology level and international competitiveness.List of Committee member is available in this pdf.

Factors affecting enterprise level green innovation efficiency in the digital economy era – Evidence from listed paper enterprises in China

The Guidelines on Building a Market-Oriented Green Technology Innovation System, which was released by China in 2019, has become a powerful signal to guide the development of green technology innovation (GTI). In the current digital strategy of China, the public media has become a key factor for promoting the transparency of enterprise environmental information. This paper measures the GTI efficiency of the listed paper enterprises in China as well as incorporating media attention into the research framework to explore the influencing factors of GTI of the listed paper enterprises in China during the digital economy era. The results showed that a positive media report had a positive impact on GTI and has become a new driving factor in promoting sustainable production in the digital era. Government support and openness also have a positive impact on GTI. However, negative media reports, environmental regulations, and technological innovation abilities have an inhibitory effect on the GTI efficiency of paper making enterprises.