Investigating the Influence of Digital Economy Growth on Industrial Structural Optimization and Upgrading

With the rapid development of the social economy,science and technology continue to upgrade and optimize,ushering in the digital era,which provides technical support for industrial innovation and development across all sectors.At this stage,vigorously developing the digital economy has gradually become the only means to optimize and upgrade the industrial structure.Therefore,local leaders and relevant departments need to enhance the importance of constructing the digital economy,enabling the local industrial structure to be optimized and upgraded under the impetus of the digital economy,ultimately promoting overall economic high-quality development.To this end,this paper,combined with existing research results,first elaborates on the positive impact of the digital economy on the optimization and upgrading of the industrial structure.It then analyzes the challenges hindering the process of industrial structure optimization and upgrading and proposes practical pathways to address them,benefiting relevant stakeholders.

Optimization of Agricultural Industrial Structure in Changping District of Beijing Based on Grey Relational Analysis

In the economic development of Beijing,although the share of the total amount of agricultural industry in the overall economy is relatively low,it has an important impact on the daily life of residents,social stability and the development of other industries.Changping District,as an important agricultural production base of Beijing,its agricultural development has an indispensable strategic significance for the stability and growth of the entire regional economy.Therefore,it is very important to study the structure of agricultural industry in Changping District.Based on the detailed analysis of the agricultural industrial structure of Changping District,this paper uses the grey relation theory to analyze the different industries in the agricultural industrial structure of Changping District,including planting,forestry,animal husbandry,fishery and agricultural,forestry,service industries,in order to reveal the impact of these industries on the agricultural industrial structure of Changping District.Through this study,it comes up with specific and feasible suggestions for the optimization of agricultural industrial structure in Changping District,and provides valuable reference for the agricultural development of other areas in Beijing.

Research and Practice on the Construction of Professional Cluster in Application-Oriented Local Undergraduate Universities:Taking Environ-mental Chemical Engineering Professional Cluster in Pingdingshan University as an Example

Based on the analysis of the importance of professional cluster construction by ecological theory,with the change of social demand for talents,this paper explores the practice of environmental chemical professional cluster construction in Pingdingshan University,including gradually perfecting teaching conditions and reforming teaching mode,breaking through the limitations of resources,integrating the boundaries of colleges and departments,integrating multiple resources,innovating systems and mechanisms,reconstructing professional clusters,decon-structing professional connotations,reorganizing curriculum systems,etc.,in order to better build the ecological chain network of education in application-oriented colleges and universities,realize the deep integration of industry and education,train future-oriented interdisciplinary applied talents of new engineering,and realize the construction of characteristic professional cluster in application-oriented colleges.

The Research on the Correlation of HigherEducation Structure and Regional Industrial Structure-Taking Tianjin as an example

教育结构的变化受产业结构调整的影响,而产业结构的优化在-定程度上又要依靠合理的教育结构.根据2000年至2013年天津市相关数据指标,采用Moore 结构变化值,利用时间序列和灰色关联法测算高等教育结构变动与产业结构变动的时滞.在此基础上通过灰色关联法研究高等教育结构与产业结构的相关性,以发现高等教育结构中存在的问题,从而促进天津市高等教育结构与产业结构的协调发展.

Research on the threshold effect of population aging on the industrial structure upgrading in China

This paper constructs coefficients of the integral and the internal structure upgrading in the secondary and tertiary industries, selects per capita real gross domestic product as a threshold variable and build panel threshold model according to inter-provincial panel data of China from 1998 to 2016. Results indicated that population aging has a double threshold effect on the integral industrial structure upgrading, whose influence increases first and then decreases, significantly promoting the upgrading process. As for internal structure, population aging has no significant threshold effect on the upgrading in the secondary industry, but exerts a single negative threshold effect in the tertiary industry. When economic development is under the threshold, its negative impact is greater. Further analysis also suggests that regional differences exist significantly in the threshold effect of population aging on the industrial structure upgrading.

THE INDUSTRIAL STRUCTURE AND DISTRIBUTION OF THE BOHAI-YELLOW SEA RIMLAND OF CHINA IN THE 1990S

The Bohai-Yellow Sea Rimland (BYSR) is situated along the coast of theBohai Sea and the Yellow Sea in the northeast of China, covering Liaoning, Hebei, and Shandong provinces, and Tianjin and Beijing municipalities. It has a land area of 491,000 square kilometers, 5.1 percent of the country’s total, and a population of 196 million, 17.9 percent of the total. Theregion is not only the political and cultural center, but also the most important economic center in North China. This paper analyses current status and major problems of industrial structure and distribution of BYSR. According to the national plan, the main goal in the coming decade is: by constantly improving economic structure, economic quality and efficiency, to double the gross national product(GNP), and to raise living standards to a satisfactory level. To realize this goal, agriculture, energy, transportation, some important raw material of industries, and infrastructure should be strengthened, and the engineering industry be improved to

Research on the Impact of Chinese Digital Inclusive Finance on Industrial Structure Upgrade—Based on Spatial Dubin Model

Based on the panel data of 30 provinces, municipalities, and autonomous regions in China from 2011 to 2018, this paper uses the digital inclusive financial index and industrial structure upgrading coefficient of the Internet Research Center of Peking University as the core explanatory and explained variables to construct a spatial panel. Bin model performs regression analysis on the effect of digital inclusive finance in the upgrading of industrial structure. The results prove that the development of digital inclusive finance in this province and city has significantly promoted the upgrading of the regional industrial structure, and it has a positive overall effect on the upgrading of industrial structure.

Influencing Factors and Dynamic Mechanism of Industrial Structure from the Perspective of Supply-side Reform

The supply-side reform is an important measure for the high-quality development of China's economy in the new era. The purpose of this paper is to explore the mechanism and influence of technological progress,human capital,consumption demand,resource endowment and government intervention on the adjustment and upgrading of industrial structure,and to deepen the understanding of supply-side reform.

Performance Comparison of Two Meta-Model for the Application to Finite Element Model Updating of Structures

To investigate the application of meta-model for finite element( FE) model updating of structures,the performance of two popular meta-model,i. e.,Kriging model and response surface model( RSM),were compared in detail. Firstly,above two kinds of meta-model were introduced briefly. Secondly,some key issues of the application of meta-model to FE model updating of structures were proposed and discussed,and then some advices were presented in order to select a reasonable meta-model for the purpose of updating the FE model of structures. Finally,the procedure of FE model updating based on meta-model was implemented by updating the FE model of a truss bridge model with the measured modal parameters. The results showed that the Kriging model was more proper for FE model updating of complex structures.

Empirical analysis of Beijing forestry industrial structure and its competitiveness under the background of low carbon economy

With Shift-Share Method, the study implemented an empirical analysis of Beijing's forestry industrial structure and its regional competitiveness around China from 2002 to 2011.The results indicated that the development tendency of forestry industry structure will be gradually transferred from "primarysecondary –tertiary industry" into "tertiary-secondary-primary industry". As the study suggested that the basic position of the primary forestry industry should be strengthened and promoted, deep processing capacity and resources utilization of the secondary industry should be further developed, and the leading role of the tertiary industry should be further enhanced in accordance with the low carbon concept.

Evaluation and Selection of the Optimal Scheme of Industrial Structure Adjustment Based on DEA

in the paper, the advanced assessment method of DEA （Date Envelopment Analysis） had been used to evaluate relative efficiency and select the optimal scheme of agricultural industrial structure adjustment. According to the results of DEA models, we analyzed scale benefits of every optional schemes, probed deeply the ultimate reason for not DEA efficient, which clarified the method and approach to improve these optional schemes. Finally, a new method had been proposed to rank and select the optimal scheme. The research is significant to direct the practice of the adjustment of agricultural industrial structure.

Study of the Optimization and Adjustment ofthe IndustrialStructure Subjected to Water Resource in the Drainage Area of the Yellow River

Since the 1990s, the Yellow River stream has been temporarily interrupted for several years, which affects the development of society, the economy and human life, limits the economic potential of the drainage areas, and especially causes great harm to regions on the lower reaches. Based on the analysis of the relationship between the development of society and economy and water scarcity, the author thinks it is necessary to optimize and adjust the industrial structure that has extravagantly consumed enormous amounts of water, and to develop ecological agriculture, industry and tourism which are balanced with the ecological environment. Finally, the author puts forward several pieces of advice and countermeasures about how to build the economic systems by which water can be used economically.

Influence Factors of the Regional Industrial Structure Evolution in Shandong Province of China against the Background of Low Carbon

Low-carbon development as the th eme of modern times is the premise to upgrade industrial structure. The authors adopt the PCA(Principle Component Analysis) to carry on a quantitative analysis about the factors that affect the changing industrial structure in Shandong Province and then incorporate them into three principal components,namely,development-consumption,speed-structure and urbanization-technology. In other words,economic development is a direct factor while consumption demand and industrial upgrading are major driving forces. Moreover,urbanization accelerates the changes of industrial structure.

Spatial effect of environmental regulation measures on industrial structure upgrading from the empirical analysis of Beijing-Tianjin-Hebei region and its surrounding areas

This paper investigates the spatial effect of environmental regulation measures on the upgrading of industrial structure in the integrated development strategy of Beijing-Tianjin-Hebei region and its surrounding areas.In order to reflect the effect of the environmental regulation and different regulation measures more truly,this paper constructs indices of the environmental regulation measures through the results of policy texts quantification.On the basis of the previous research,this paper divides environmental regulation into the following types:personnel and administrative measures of command and control;market-oriented fiscal,taxation,financial and other economic measures;guidance measures.Spatial panel regression results show that administrative measures of command control and market-oriented fiscal measures have a significant role in promoting regional industrial structure upgrading,but not conducive to the advancement of the industrial structure of adjacent areas.Their roles in promoting and inhibition are counteracted,which causes the total effect of industrial structure upgrading of Beijing-Tianjin-Hebei and the surrounding areas are not significant.Personnel measures,financial measures,other economic measures and guidance measures do not have the short-term effect and spatial effect on the upgrading of industrial structure.

AN ANALYSIS OF THE POLICY－MAKING IN REGULATING THE INDUSTRIAL STRUCTURE AND DISTRIBUTION IN TRADITIONAL INDUSTRIAL BASE IN MIDDLE LIAONING PROVINCE

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The Impact of Green Finance on the Ecologicalization of Urban Industrial Structure-Based on GMM of Dynamic Panel System

Although a number of studies have been published in the general area on various factors affecting the ecologicalization of urban industrial structure,little work has been carried out for empirical studies quantitatively analyzing the relevance between green finance development and the ecologicalization of urban industrial structure.Therefore,based on a comprehensive index of green finance development,this research employs panel data of target cities1 for the period 2012–2020 to explore the influence of green finance on the ecologicalization of urban industrial structure.The empirical results show that green finance development significantly improves the ecologicalization level of urban industrial structure.In addition,it is found that green finance plays a stronger role in promoting the ecologicalization of industrial structure in economically developed regions than in economically underdeveloped regions2.The research results can provide a valuable policy reference for urban green financial market planning and green product innovation.

The role of cultural and creative industries in optimizing industrial structure under low-carbon emission constraint

In the post-financial crisis era,China is facing dual pressure from reducing carbon emissions and external demand stagnation.The industrial structure changing is in urgent needs.The cultural and creative industries can expand China's markets through creating and stimulating demands,and can reduce carbon emissions at the same time.By producing both demands and supplies,cultural and creative industries may lead the development of other industries.Since innovation plays a quite important role in the value chain,cultural and creative industries can promote the industrial upgrading and the industrial structure optimization by industrial convergence.

An approach to the influence of industrial structure on urban ecological environment

dustrial structure is key link of man's action to ecological environmental system. Its combina-tion type and intensity determine, to a great extent, economic benefit, resources utilization efficiency andstress on environment. So the assessment to the rationality of industrial structure is of great importance. Inpresent paper, the research theories and ways on relationship between industrial structure and ecological en-vironmental systems were put forward. Environmental carrying capacity (ECC) was adopted to describequantitatively the relationship between man's social economic activity and environmental resources. At theend of this paper. analysis was made with Benxi City as an example.

Labor Productivity Growth Effect of Industrial Structure Evolution in Guangdong Province during the Period 1978-2008:An Empirical Test of “Structural Bonus Hypothesis”

The labor flow promotes the industrial structure evolution,thereby affecting the growth of productivity.In the western industrialized countries,improvement in labor productivity has become an important source of economic growth.On the basis of analyzing changes of the industrial structure,changes of the structure of labor factor,changes of labor productivity and the growth rate in Guangdong Province in different periods,we use shift-share method to analyze the labor productivity effect of industrial structure in Guangdong Province,and put forward the following recommendations for the adjustment of industrial structure in Guangdong Province:(i) The adjustment of industrial structure should promote the reasonable and effective flow of labor between industries;(ii) Accelerating the optimization of the industrial structure is conducive to economic growth and improvement in labor productivity;(iii) In addition to structural optimization,the improvement in labor productivity should also focus on the improvement in intra-industry technology.