Transformation Of Economic Development Mode Research Articles

How does green credit affect industrial green transformation? Mechanism discussion and empirical test

Sustainable development has become a strategic consensus in response to the global environmental problems. Green credit is a major policy innovation that promotes the transformation of economic development mode and industrial green transformation (IGT). Using provincial panel data from 2005 to 2020, we investigate the effect of green credit on IGT using a systematic GMM model, a dynamic threshold model, as well as the possible nonlinear relationship. Benchmark regression results show that green credit can encourage industrial green transformation. In addition, there is a single green credit threshold with a value of 0.2612. The trend is "negative to positive". According to the moderating effect results, environmental regulation moderates in a negative manner. As environmental regulations become more stringent, the contribution of green credit to IGT will diminish. The intermediary mechanism test demonstrates that green technology innovation and marketization level play a partial intermediary role. Heterogeneity testing confirms that the function of green credit in promoting industrial green transformation is more significant in regions with a higher level of green finance development and a lower degree of government intervention. Therefore, the government should encourage financial institutions to provide green credit products and services to meet the financing needs of different green projects, thereby facilitating the industrial green transformation.

Study on the impact of green finance on green total factor productivity in forestry—evidence from China

China's forestry industry's ecological, economic, and social benefits have improved significantly. However, practical problems remain, such as irrational industrial structure, serious resource consumption, and low environmental transformation efficiency. The green total factor productivity is an important index to measure the transformation of economic development mode, and improving the green total factor productivity in forestry is of great significance in guiding the transformation of forestry economy, improving the structure of agricultural economy, and realizing the green development of forestry economy. Based on the panel data of 30 provinces and cities in China from 2006 to 2021, this article adopts the entropy value method and the Global Malmquist–Luenberger index based on the SBM directional distance function to construct the index system of green finance and forestry green total factor productivity and empirically analyzes the impact and mechanism of green finance on forestry green total factor productivity. It was found that 1) green finance can improve local forestry green total factor productivity and influence the neighboring regions to improve forestry green total factor productivity through economic spillover effect, and the coefficient of spatial spillover effect was 0.1041. 2) There were regional differences in the impact of green finance on forestry green total factor productivity, which was explicitly presented as a gradual decrease from east to west “ladder-like”. 3) There was a 30.46% intermediary effect of forestry industry structure in the influence of green finance on forestry green total factor productivity. 4) There was a double-threshold effect of human capital in the influence of green finance on forestry green total factor productivity, and there was a non-linear effect of marginal increment in the influence of green finance on forestry green total factor productivity after the threshold of 5.87 human capital. Based on China's ecological and economic development background, it was significant to utilize green finance to solve forestry economic development problems and promote China's green and sustainable development, and therefore put forward policy recommendations.

Does smart city pilot improve urban green economic efficiency: Accelerator or inhibitor

Improving urban green economic efficiency is a necessary response to environmental constraints and the transformation of economic development mode, and how to improve green economic efficiency through smart city pilot has become an important consideration. In this study, we construct the Date Envelopment Analysis-Slack Based Model to measure the green economic efficiency, and further evaluate the impacts of smart city on green economic efficiency using the propensity score matching-Differences-in-Differences (PSM-DID) model. The mainly results are as follows. The urban green economic efficiency can be improved by smart city pilot, and be improved by smart city through technology effect, structure effect and energy effect. Smart city with the dual attributes, information technology and environmental regulation, acts as a role of accelerator that both promote economic efficiency and environment, and thus accelerates the improvement of green economic efficiency. Smart city plays a significant role in cities with high level of talent aggregation and financial development, low level of population density, network infrastructure and urban expansion. The results of this paper provide the policy implications for the construction of smart city and sustainable development.

Current Status of Technological Innovation Cluster Research

The research on innovation clusters has become the focus of academic research and scientific and technological decision-making of governments around the world. The construction of innovation clusters is of great significance to cultivate strategic emerging industries, enhance regional innovation capacity and promote the transformation of economic development mode. However, at present, the theoretical research on technological innovation clusters is not deep enough, and the theoretical framework is still not clear. On the basis of literature research, this paper starts with the concept of innovation cluster, associates it with technology cluster, and jointly introduces the origin and concept of technology innovation cluster. Based on the analysis of various literature, the shortcomings of the current research on technology innovation cluster and the direction of the next research are pointed out.

Study on the Path of Sustainable Financial Development in Resource-based Regions

In recent years, China's economy has shifted from a high-speed growth stage to a high-quality development stage. The transformation of economic development mode, optimization of industrial structure, and transformation of growth momentum are important ways for high-quality development, and this is also true for resource-based regions. Resource-based regions have inherent advantages in development, but as mineral resources are continuously excavated and exploited, many resource-based cities are facing serious economic decline, unemployment, and environmental degradation. Therefore, the transformation of resource-based cities and the sustainable development of the ecology and economy are highly valued by the country. In particular, China is currently in a stage of high-quality development, and resource-based cities should closely follow the national development direction and explore a new path suitable for their own sustainable development. This article takes the resource-based city of Ordos as an example to conduct comprehensive analysis on its fiscal revenue and expenditure data from 2011 to 2022 and points out the problems in the process of sustainable development of fiscal in resource-based regions, mainly including inadequate regional economic momentum, unreasonable fiscal sources, unreasonable industrial structure mainly relying on resource-based industries, and high concentration of tax revenue under the "tax-sharing system" fiscal system affecting the ability of municipal level coordination. This article proposes countermeasures and suggestions for the sustainable development of fiscal in resource-based regions, mainly including optimizing the business environment, promoting the integration of digital industry and physical industry, adjusting fiscal and tax policies, and developing local main tax categories.

A Model-Driven Analysis of the Relationship between Innovation and Growth in a Green Low-Carbon Economy Based on Open Public Data

In the new era, China’s economic development is in the offensive period of transforming the development mode, green development is an inevitable requirement to accelerate the transformation of economic development mode and optimize the industrial structure, and we should adhere to the concept of ecological priority and green development to promote high-quality economic development. The 19th Party Congress clearly proposed to “promote green development, establish a sound economic system of green low-carbon cycle development, and build a market-oriented green technology innovation system.” Green technology is the technology to save resources, reduce pollution, and achieve sustainable development. Green technology innovation continues to promote green development, which will become an important support to promote the progress of ecological civilization, adhere to pollution prevention and control, and promote high-quality development. Promoting green technology innovation, taking the road of sustainable development, enhancing the awareness of environmental protection, and promoting high-quality economic development are also inevitable choices to promote the conversion of economic development mode. Carrying out research on the impact of green technological innovation on regional economic growth is of great significance to alleviate the shortage of innovation resources in China, guide enterprises to change to a green way of development, and promote the sustainable development of China’s economy and population, resources, and environment. This paper provides publicly available data from 2015-2021, takes fixed asset investment as the variable, introduces control variables, and analyzes the relationship between technological innovation and economic growth using fixed-effects model and intermediate-effects model. The results show that innovation contributes significantly to regional economic growth and is influenced by the mediating role of fixed asset investment. In order to boost China’s economic growth, specific policy recommendations are proposed in terms of optimizing the regional innovation layout, improving the intellectual property rights system, cultivating high-quality talents, optimizing the structure of fixed assets, and attracting the inflow of foreign capital.

Is high natural resource dependence doomed to low carbon emission efficiency? Evidence from 283 cities in China

With the increasing concerns of global economic recovery and climate change, the improvement of carbon emission efficiency has become extremely significant to get rid of economic and environmental dilemmas. Although natural resource development is usually carbon-intensive, little attention has been paid to the impact of natural resource dependence on the carbon emission efficiency. Based on the resource curse theory and the stylized facts of resource-based regions in China, for the first time, this paper proposes the hypothesis of the carbon emission efficiency curse. The hypothesis suggests that an increase of natural resource dependence can suppress the carbon emission efficiency by crowding out green technological innovation, curbing the carbon productivity of investment, and reducing population density. Furthermore, we verify the hypothesis using the instrumental variable approach and the panel data of 283 cities in China from 2004 to 2017. The results demonstrate the negative effect of natural resource dependence on the carbon emission efficiency. This finding remains robust after replacing the indicators of the key variables, altering the estimation method, and eliminating the disturbances resulting from particular samples and the low-carbon policy. The mechanism analysis indicates that natural resource dependence can crowd out green technological innovation, restrain the carbon productivity of investment, and lower population density to curb the improvement of the carbon emission efficiency. In addition, the heterogeneity analysis shows that although the carbon emission efficiency curse exists significantly in resource-based cities on average, renewable resource-based cities successfully avoid the carbon emission efficiency curse because of the optimization and transformation of economic development mode. Meanwhile, the negative impact of natural resource dependence on the carbon emission efficiency is not significant in the Two Control Zone cities and key cities for air pollution prevention and control, implying that environmental regulations are conducive to avoiding the carbon emission efficiency curse. This paper provides a novel perspective for the carbon emission efficiency improvement and low-carbon transition of China and other developing countries.

Innovation and High-Quality Development of Enterprises—Also on the Effect of Innovation Driving the Transformation of China’s Economic Development Model

Taking the A-share listed companies in Shanghai and Shenzhen from 2013 to 2020 as the research object, this paper discusses the impact of innovation on high-quality development at the enterprise level and evaluates the effectiveness of the current transformation of innovation driving China’s economic development mode. It is found that innovation inhibits the improvement of total factor productivity of enterprises overall and hinders the high-quality development of enterprises. This result also shows that China’s innovation driven economic development mode transformation has not achieved actual effect. The reason is that China is still in the dilemma that low-quality innovation occupies the dominant position of enterprise innovation. The inhibitory effect of low-quality innovation masks the promoting effect of high-quality innovation, which makes the net effect of innovation on enterprise productivity being inhibitory, and this inhibition is characterized by a loss of efficiency, which is caused by a mismatch of resources. Heterogeneity analysis shows that the inhibition effect of innovation is stronger in eastern enterprises, non-state-owned enterprises and the early implementation of innovation driven strategy. It is also found that the promotion effect of high-quality innovation on executive compensation is stronger than that of low-quality innovation, which indicates that carrying out low-quality innovation is an irrational and short-sighted behavior. The study provides important insights for China to optimize and improve innovation policies and to promote the shift of the overall innovation structure to high-quality innovation.

Research on the impact of financial development in different regions on the decoupling of carbon emissions from economic growth

The decoupling of carbon emissions has also become the dependence of countries’ development. Finance plays an important role in decoupling economic development from carbon emissions. This paper explores the impact of financial development in different regions on the decoupling of carbon emissions from economic growth, using the Tapio decoupling elastic model and the method of fully modified least squares (FMOLS) to study the impact of financial development on carbon emissions in six regional panels from 1995 to 2020: and Foreign direct investment (FDI), urbanization, population, and infrastructure as control variables. The results turn out that financial development will promote the decoupling of carbon emissions from economic growth in the ECA region. For EAP, SSA, AC, SA, and MENA regions, financial development will promote the growth of carbon emissions, and due to the different economic development dynamics of different countries, the positive effects of financial development on carbon emissions are heterogeneous. The impact of FDI, urbanization, and infrastructure on carbon emissions varies from region to region. The population will promote the growth of carbon emissions, regardless of the region. In addition, the ECA region is the most countries that has achieved the strong decoupling and is the first to realize the transition from weak decoupling to strong decoupling. Therefore,the ECA, EAP and AC region should accelerate the construction of a green financial system to promote the decoupling of economic growth and carbon emissions. The SSA, SA and MENA region should speed up the transformation of economic development mode and move towards weak decoupling or even strong decoupling.

Environmental Regulation, Environmental Decentralization, and Enterprise Environmental Protection Investment: Evidence From China.

The microeconomic behavior of enterprises is influenced by the government system and its policies. In this article, we investigate how environmental regulation and environmental decentralization affect enterprise environmental protection investment using the data of China's listed companies from 2009 to 2020 and examine the effect of environmental decentralization on the relationship between environmental regulation and environmental protection investment. First, we find that there is a “U-shaped” relationship between environmental regulation and enterprise environmental protection investment. Second, the estimation results indicate that environmental decentralization can promote enterprise environmental protection investment. Finally, we further provide evidence to show that environmental decentralization has a negative moderating impact on the relationship between environmental regulation and enterprise environmental protection investment. Accordingly, the conclusion of this study is helpful to optimize the environmental decentralization management system, reasonably guide the local government behavior, alleviate the contradiction between environmental protection and economic development, and promote the green transformation of economic development mode.

Short-term wind speed prediction based on feature extraction with Multi-task Lasso and Multilayer Perceptron

The vigorous development of wind energy will help to promoting the adjustment of energy structure, the control of atmospheric smog, and the transformation of economic development mode. However, the randomness and volatility of wind speed make it difficult to predict with high accuracy. High-precision short-term wind speed prediction is inseparable from effective variable selection. In order to select highly relevant variables for short-term wind speed prediction, Multi-Task Lasso is applied to extract features, so the change trend of wind speed can be expressed exactly, and the Multilayer Perceptron (MLP) is applied to predict based on the extracted features. Firstly, Multi-Task Lasso is used to establish a linear regression model, the leading periods and the original input variables are determined from the perspective of prediction accuracy; Secondly, according to the optimization results of Multi-Task Lasso, the optimal features that can best express the wind speed fluctuation is extracted from different influencing factors and different leading periods based on the weight; Finally, the extracted optimal feature set is used as the input variable of MLP to establish prediction model. The results show that the effect of feature selection is obvious, the prediction accuracy is improved by more than 17%, and the short-term wind speed prediction model has good prediction accuracy and good generalization ability.

Research on the Construction of Innovation and Entrepreneurship Education Ecosystem in Colleges Guided by Fostering Virtue in Education

Focused on the construction of innovation and entrepreneurship education ecosystem guided by “Fostering Virtue in Education,” colleges are grounding efforts in the new development stage, applying the new development philosophy, and creating a new framework of development. Under China's new era, fostering character and civic virtue is the due meaning of innovation and entrepreneurship education in higher education. Adoption of this strategic approach accelerates the transformation of economic development mode, and build an innovative country. It is also an education strategy which can improve the quality of talent training and innovation & entrepreneurship education. An important way to promote the all-round development of university students is to implement the core measures of increased employment by entrepreneurship and the full employment of graduates, which is related to the fundamental issue of “who to cultivate, how to cultivate and for whom to cultivate.” In the new era, innovation and entrepreneurship education in colleges and universities should be based on the local conditions, respond to the needs of the times, connect with the national development strategy, grasp the correct development direction, become an important force to promote the national economic development and social harmony and progress, cultivate the new force of “mass entrepreneurship and innovation” in line with the requirements of the times and the country, and realize the transformation of university functions and missions. To carry out the fundamental task of talent cultivation in universities.

Research on the Quality and Promotion Path of Master Degree Thesis

The quality of dissertations is the basic core of the development of professional degree postgraduate education. With the transformation of economic development mode and the steady progress of the construction of an innovative country, the demand for professional degree postgraduates in economic and social development has increased significantly. The result is that the number of significant growth and the quality is difficult to guarantee. The most prominent is that the quality of professional degree postgraduates represented by dissertations has declined to varying degrees. Through on-the-spot investigation, this paper concludes that there are four prominent problems in the quality of professional degree master 's degree thesis : the topic is not suitable, the research is not deep enough, the content is not innovative and the writing is not standardized. Therefore, it is possible to achieve the goal of improving the quality of professional degree master ' s degree papers only by strictly controlling the topic selection, adhering to the problem research orientation and implementing the basic attributes of innovation.

Local Industrial Policies and Industry Innovation and Development：Empirical Evidence from the New Energy Automobile Industry Policy Text

As an important starting point for promoting green transformation and development, the new energy automobile industry is essential to accelerate the transformation of economic development mode. In this regard, General Secretary Xi Jinping emphasized that “we must increase research and development, carefully study the market, and make good use of policies” during his inspection tour in Shanghai. However, how to “make good use of policies” is an urgent and important problem facing policy-makers and scholars. To this end, based on the information on the official websites of the People’s Government, Department of Finance, Development and Reform Commission, Economic（Industry）and Information Technology Commission of various provinces, municipalities, and autonomous regions, this article uses keywords such as “new energy vehicles”“electric vehicles” and “automotives” to screen the policy text, and finally obtains 2289 new energy automobile industry policy text data at 31 provinces, municipalities, and autonomous regions in China, to match the obtained data with the Chinese patent database. Furthermore, according to the semantics of the policy text, this article divides relevant industrial policies into three categories: demand-based policies, supply-based policies, and environment-based policies. On the basis of constructing regional policy effectiveness indicators, demand-based policy effectiveness indicators, supply-based policy effectiveness indicators, and environment-based policy effectiveness indicators, we empirically test the impact of local industrial policies on the innovation and development of the new energy automobile industry. The results of this paper show that:（1）New energy automobile industry policies can effectively stimulate the innovation and development of the industry. After considering issues such as endogeneity, adjustment policy sample time, policy division criteria, traditional automobile industry development, and regional industrial policy competition, the corresponding research conclusions are still valid.（2）Compared with supply-based and demand-based policy tools, environment-based policies are more conducive to promoting the development of the new energy automobile industry.（3）Mechanism analysis shows that, compared with government subsidies and tax incentives, local industrial policies mainly promote industry innovation by strengthening market competition and reducing corporate financing constraints, thereby boosting the development of the new energy automobile industry. This article not only enriches the relevant research on China’s industrial policies and affirms the importance of local governments’ guiding behavior for industrial development, but also provides empirical evidence for the formulation and implementation of local industrial policies, and the research conclusions respond to a certain extent to the guiding theory of “giving provincial governments and below more autonomy” pointed out in the Report of the 19th National Congress of the Communist Party of China.

Study on the influence of urban construction land expansion on carbon emission based on VAR Model - a case study of Nanchang City

In the context of promoting high-quality economic development, it is of great significance to study the relationship between the expansion of urban construction land and carbon emission for the transformation of economic development mode and the implementation of green and low-carbon development. Based on the time series data of Nanchang City from 1995 to 2017, this paper analyzes the relationship between urban construction land expansion and carbon emission by constructing carbon emission measurement model, VAR model, using co integration test, Granger causality test, pulse analysis and other research methods. The results show that there is a co integration relationship between urban construction land expansion and carbon emissions, and Granger causality test shows that urban construction land expansion is the Granger cause of carbon emissions, while impulse response analysis confirms that the impact of urban construction land expansion on carbon emissions at the early stage is not significant, and the subsequent impact increases gradually, and the impact on carbon emissions will reach a stable state when urbanization is mature And put forward policy suggestions.

Research on the Construction and Evaluation of Green Industry System Based on Data Mining

By establishing a regional green innovation system, realizing the integrated development of industries across administrative divisions, and developing emerging industries, continuation industries, and resource reuse industries are effective ways to realize the transformation of economic development mode. In the process of shifting from the industrial economy of the industrial society to the industrial economy of the information society, green industry informatization is an inevitable requirement for realizing industrial restructuring and industrial upgrading, improving the core competitiveness of green enterprises, and a necessary condition for realizing regional national economic informatization. Data mining technology can discover and extract hidden, novel, meaningful and understandable information and patterns from a large amount of data, and realize the transformation from simple data to information to knowledge. According to the general requirements of data mining technology and the characteristics of the green industry field, this research constructed a system framework for green industry data mining, discussed key issues such as data preparation and data selection in data mining of green industry. Meanwhile, using data mining software SAS and Malmquist index as implementation tools, the basic theories and methods of green industry data mining were applied to the innovation evaluation of my country’s green industry. The results showed that data mining technology had its unique advantages in dealing with the massive data of the green industry. It can not only quickly realize the diversified statistical analysis of the massive data in the green industry, but also display it to users with rich graphics, which is conducive to the interpretation and understanding of the analysis results.

25-year cycle evolution theory: relationship between German economic development mode and human resource management innovation after World War II

After the Second World War, Germany created the economic miracle by improve its economic development model, triggered many rounds of climax of management innovation. In 2011, some scholars proposed the 25-year cycle evolution theory. This paper review and analyses the German transformation of economic development mode and the history of the human resources management innovation in the last century. Then the study finds out the periodic features in the Germany case and deduces the 25-year cycle evolution theory and its role of the transmission mechanism. Finally, to represent the level of human resources management innovation, the study process the data of IMD World Talent Report conducted by International Institute for Management Development, and generated the human resources management innovation index. Moreover, to represent its economic development level, the study generates the GDP growth rate conversion index from the German historical GDP data. Meanwhile, the applied statistical test analysed the volatility characteristics and causation relationship between economic development and human resources management innovation. The empirical analysis also predicts the development trend in the future and verifies the rationality of the 25-year cycle evolution theory, and provides a solid mathematical foundation for further enriching the theory and its hypothesis.

Research on the Construction of Dongying Wetland City during the “14th Five-Year Plan”

The 18th National Congress of the Communist Party of China proposed to place ecological civilization construction in the important position of “five in one”, and with the transformation of economic development mode, focusing on high-quality, scientific, and reasonable urban development model has become the research focus of experts and scholars, with certain theories And practical significance. Taking the opportunity of Dongying being rated as an “International Wetland City”, this article studies the construction of Dongying Wetland City during the “14th Five-Year Plan” period. Starting from the investigation of the current situation, it analyzes the current situation of Dongying City’s wetland and puts forward the problems in the construction of Dongying City’s wetland city. Combing the experience of Haikou, Berlin, Freiburg, and Vienna experience in wetland city construction at home and abroad, and analyzed the wetland foundation from the four perspectives of wetland protection, wetland restoration, wetland utilization, and wetland management, and proposed Dongying The city’s policy recommendations for wetland construction are designed to provide suggestions for the construction of Dongying wetland city during the “14th Five-Year Plan” period, to provide a reference for the same type of regions, and to provide a reference for the research of experts and scholars in the same field.

Grey correlation analysis on the synergistic development between innovation-driven strategy and marine industrial agglomeration: based on China's coastal provinces

PurposeThe implementation of the innovation-driven development strategy is of practical significance for improving the quality and efficiency of economic growth and accelerating the transformation of economic development mode. The purpose of this paper is to study the impact of innovation-driven strategies on marine industry agglomeration and industrial transformation.Design/methodology/approachIn traditional grey correlation analysis, when the positive and negative areas cancel each other out during the integration process, the calculation result of the correlation degree is often inconsistent with the qualitative analysis. For this reason, from the perspective of curve similarity, this paper constructs two response curves through the relative change area of the two curves and the relative area change ratio of similar degree, thus constructing an improved grey relational model.FindingsThe authors find that the innovation investment has a better correlation with marine industrial agglomeration. It also found that Guangdong Province has the highest degree of correlation between innovation indicators and marine industrial agglomeration. Much beyond the authors’ expectation, in the areas where marine industrial agglomeration is high, the synergistic effect is not obvious by using the location entropy method.Originality/valueThe improved grey correlation analysis method can effectively overcome the phenomenon that the positive and negative areas cancel each other in the integration process of the original algorithm, and it can also effectively measure the negative correlation between variables. This paper explores the impact of innovation drive on the agglomeration of marine industries, which is of great significance to the sustainable development of marine economy.

Dynamic assessment and early warning of ecological security: a case study of the Yangtze river urban agglomeration

Ecological security is vital to the survival of human beings and critical to the sustainable development of socioeconomic environment. In view of the deficiencies of the static assessment of ecological security, in this paper ,a dynamical evaluation on the ecological security of urban agglomerations is conducted by utilizing an index system developed from the Driving Force-Pressure-State-Response model. Further, an empirical study is carried out for the Yangtze River Urban Agglomeration to explore the ecological security alarms and change rules: Incorporating the statistical data from 2005 to 2017 into the investigation, the combined weight method is applied to calculate the weight of ecological safety over ecological security contribution, and the Moran's I index is implemented to analyze the changes in the spatial pattern. The results show that (1) The ecological security index of the Yangtze River Urban Agglomeration exhibits a smaller fluctuation primarily caused by the transformation of economic development mode, and the overall ecological security has been improved since 2005 from less safe to security level in general. (2) Spatial differences exist between North and South as well as between urban agglomerations, and the overall ecological security is improved due to ecological protection measures and industrial structure adjustment, and (3) The levels of early warning for these cities in the Yangtze River Urban Agglomeration differ, Varying between medium level and severe level. Furthermore, It is also found that human activities greatly impact the ecological security, and the intensity of land development is the greatest threat.