Spatio-temporal evolution of the coordinated development of high-tech industry agglomeration and resource-environmental carrying capacity in the Yellow River Basin

Under the background of new infrastructure,the Yellow River Basin’s superior growth cannot be separated originating with the synergistic effect of scientific and technological inventiveness and ecological civilization construction.In light of the coupling coordination analysis of the coordination effect of provincial high-tech industry agglomeration and resource carrying capacity in the Yellow River Basin from 2009 to 2021,The evolution of the geographical and temporal pattern of development was investigated using the Moran index and kernel density estimation.The results show that the agglomeration of high-tech industries in the Yellow River Basin presents a development trend of seek improvement in stability,and there is a good coupling and coordination throughout the progression of scientific and technological innovation and the loading capacity of the resource,from the viewpoint of a time series.From the perspective of spatial pattern distribution,the whole basin aims at the lower reaches,accelerates the optimization of digital industry and promotes Yellow River Basin development of superior quality through innovation support and increase of input,and based on policy guidance.

Comparative study on industry agglomeration of the five E＆I industrial parks in Shaanxi Province

As the significant regional development driving, industry agglomeration has become one of the most interested for industrial economist and regional economist. This paper chooses the main five E＆I industrial parks in Shaanxi Province as the research object, and systematically compares their industry agglomerations, such as the situations, patterns, development approaches, and so on. Finally, based on the situation of the five E＆I industrial parks, combined with the power and the attraction of sub-sectors industry, some suggestions on the formation and consolidation of agglomeration effect for each park are proposed.

Creative Industries Agglomeration,Regional Innovation and Productivity Growth in China

This paper falls into the broad area of economic geography and economics of creativity,and it presents an alternative approach to explain why total factor productivity(TFP)growth is different across China′s regions.It establishes an empirical model to estimate the spatial agglomeration effects of creative industries on regional TFP growth,using China′s provincial panel data during the period of 2003 to 2010.We found that the creative industries agglomeration(CIA)has significant and positive impact on regional TFP growth.The result also implies that the CIA can facilitate regional TFP growth through promoting regional innovation instead of improving regional efficiency.Therefore,we argue that policy makers should take some measures to retain and establish more creative zones.

Reconstruction of Industrial Location in View of Industrial Agglomeration

The Industrial Agglomeration Theory has been evolving all the time. The study on the industrial location has become the focus of the massive theoretical location problems about agglomeration since the 1970s. The authors here analyze the evolution and the characteristics of the Industrial Agglomeration Theory and study its effect on the reconstruction of industrial location. The study suggests that the new idea ofrecoustmction of industrial location is to cultivate regional innovative system. On this basis, the authors analyze two cases of old industrial bases on their constniction-Tiexi Industrial District in Shenyang City and Changchun Industrial Economic Development Zone. Finally, the authors put forward some suggestions that should be regarded, which include： 1） to combine industrial location reconstruction and enterprises＇ inner reform; 2） to speed up adjustment of resources and opening to the world; 3） to combine government mechanism with the market mechanism properly.

Urban Agglomeration Formation and Its Spatiotemporal Expansion Process in China: From the Perspective of Industrial Evolution

Urban agglomeration research has received increasing attention in China’s national development strategies, and has become a hot topic in academic research. This study develops a theoretical framework that explores the formation mechanism and expansion process of urban agglomerations from the perspective of industrial evolution, and identifies the development issues and their causes by taking Yangtze Delta and Beijing-Tianjin-Hebei urban agglomerations as case studies. In the process of urban agglomeration formation within a free market, as has happened in Yangtze Delta region, the central city develops first, its secondary industry is then transferred to its neighboring cities, and the work division and cooperation with the neighboring cities is gradually established. However, in the 1990 s, aiming to become an international metropolis, Beijing implemented a series of administrative policies to encourage the reduction of the secondary industry and the development of the tertiary industry, before its secondary industry were fully developed and transferred to its neighboring cities. This delayed the integration process and the development of the Beijing-Tianjin-Hebei urban agglomeration. This study builds a good foundation for the construction of the theoretical system’s urban agglomeration study, and provides references for decision making in an urban agglomeration development.

Measurement and Spatial Distribution of Urban Agglomeration Industrial Compactness in China

Urban agglomeration (UA) compactness means spatial concentration degree of physical entities, such as cities (towns), industries, resources, funds, traffic and technologies, whose concentration is formed according to specified economic and technologic association in the process of UA formation and development. The UA industrial compactness means the concentration degree of industry and industry clusters with reference to the industrial, technologi- cal and economic relations among the cities in the UA in the process of rational industrial division and with the exten- sion of industrial chain. After analyzing the researches on compactness, this paper finds that the relevant measurement coefficient and methods reflecting industrial geographical concentration fail to link industries spatial concentration with urban spatial concentration. Taking 23 UAs as samples and classifying them by development degree, this paper probes into UA compactness and spatial distribution characteristics from the perspective of industry by adopting UA index systems of industry and measurement models. The research finds out: 1) there is obvious positive correlation between UA industrial compactness and UA development degree; 2) the spatial distribution difference of UA industrial compactness is relatively great; and 3) UA industrial compactness shows a gradually decreasing tendency from the eastern part, the middle part to the western part of China. From the research thoughts and approaches, this article suggests that studies on the UA integrated compactness measurement should be enhanced from a multidimensional perspective involving space, traffic, population density and so on.

Spatial-temporal Pattern Evolution of Manufacturing Geographical Agglomeration and Influencing Factors of Old Industrial Base:A Case of Jilin Province,China

The primary object of this paper is to examine the spatial-temporal pattern evolution of manufacturing geographical agglomeration of the old industrial base.Industrial spatial agglomeration index and concentration ratio are used in this paper.Multiple linear regression models are also applied to try to explore the internal driving mechanisms on manufacturing geographical agglomeration.The results show that:1) the manufacturing agglomeration degree of Jilin Province is increasing gradually.The spatial polarization structure is visible;and the central region is the agglomeration area,in addition,the manufacturing industries of Changchun Proper present a trend of dispersion;2) the structure of manufacturing industries has changed,and the concentration ratio of labor-intensive manufacturing industry is declining,while the proportions of technology-intensive and capital-intensive manufacturing industry are relatively rising;3) marketing level,location accessibility,labor resources,capital,science and technology innovation capability,scale economy and the level of globalization affect manufacturing agglomeration with different degree.There are significant differences of the effects about employment,technology,the quality of residents and the export-oriented market on the industrial concentration ratio;4) in the future,the impact of policy and institution,export-oriented market and quality of resident on manufacturing geographical agglomeration pattern will be more profound.

Geographical Agglomeration of Chinese Manufacturing Industries

Based on the plant level data from the First National Census of Basic Units, the Second National Census of Basic Units, and the First National Economic Census of China, this paper ex- amines the geographical agglomeration of Chinese manufacturing industries at a more disaggregated level both by industrial classi-fication and spatial unit analysis. Applying the agglomeration index proposed by Maurel and Sedillot, studies show that the most agglomerated industries are resource-intensive, and capital and technology intensive while industries demanding localized inputs or serving localized markets or favored by local governments are fairly dispersed. The more disaggregated industries are more spa- tially agglomerated. At the finer spatial scale, industries are more dispersed. Results indicate that within-county spillovers are stronger than nearby-county spillovers, and within-prefecture spillovers are stronger than nearby prefecture spillovers. Local- ized spillovers are still quite substantial at a range beyond that of counties. Comparing the agglomeration index of Chinese manu- facturing industries in 1996, 2001 and 2004, agglomeration seems to be a general tendency. Results also indicate that some industries have experienced remarkable changes in their levels of agglom- eration in the period 1996–2004.

Socio-cultural Embeddedness of Spatial Agglomeration of Creative Industries in Shanghai

Rapidly emerged creative industries receive increasing attention from a variety of disciplines. However, the space features of creative industries and its association with local socio-cultural contexts have not been fully understood, especially at a micro-city level. This study attempts to understand the agglomeration of creative industries in Shanghai from the sociology perspective. For this study, this paper utilizes primarily a questionnaire survey to explain the space features of creative industries in Shanghai. The results indicate an extensive socio-cultural embeddedness of the agglomeration of creative industries in Shanghai. First, strong emphasis on face-to-face contacts by creative professionals makes geographical agglomeration necessary for creative industries. Second, the reason why inner city of Shanghai is popular among creative professionals and enterprises lies in the diversity of cultures and special environment of the former colonial zones of Shanghai. Additionally, highly concentrated dining and entertainment facilities in the central city of Shanghai offer creative workers social networking places and nightlife venues. Third, as the educational attainment of local citizens and the protection of intellectual property are highly stressed by creative professionals, research and design specialized creative industries are more likely located near universities and research institutes.

Research on the Impact of Industrial Agglomeration and Structural Upgrade on County Economic Growth under the New Normal Condition-Based on the Empirical Study of 101 County Counties in Jiangsu and Zhejiang Provinces

In this paper, the method of generalized moments of data and systems for 101 counties in Jiangsu and Zhejiang Provinces is used to analyze the impact of industrial agglomeration and industrial structure upgrading on county economic growth. The real diagnosis result indicated that, the industry gathers with the industrial structure promotes has the forward function to the county territory economic growth rate, in the sample time that had not discovered the industry gathers to the economical growth existence non-linearity in？ uence. On the other hand, the industrial structure promotes to the county territory economy long-term growth power is stronger, later period should break through the present stage in the manufacturing industry mature county territory through the industrial structure promotion strategy the industry to glide down.

Technological anxiety:Analysis of the impact of industrial intelligence on employment in China

Employment is the greatest livelihood.Whether the impact of industrial robotics technology materialized in machines on employment in the digital age is an“icing on the cake”or“adding fuel to the fire”needs further study.This study aims to analyze the impact of the installation and application of industrial robots on labor demand in the context of the Chinese economy.First,from the theoretical logic and the economic development law,this study gives the prior judgment and research hypothesis that industrial intelligence will increase jobs.Then,based on the panel data of 269 cities in China from 2006 to 2021,we use the two-way fixed effect model,dynamic threshold model,and two-stage intermediary effect model.The objective is to investigate the impact of industrial intelligence on enterprise labor demand and its path mechanism.Results show that the overall effect of industrial intelligence on the labor force with the installation density index of industrial robots as the proxy variable is the“creation effect”.In other words,advanced digital technology has created additional jobs,and the overall supply of employment in the labor market has increased.The conclusion is still valid after the endogeneity identification and robustness test.In addition,the positive effect has a nonlinear effect on the network scale.When the installation density of industrial robots exceeds a particular threshold value,the division of labor continues to deepen under the combined action of the production efficiency and compensation effects,which will cause enterprises to increase labor demand further.Further research showed that industrial intelligence can increase employment by promoting synergistic agglomeration and improving labor price distortions.This study concludes that in the digital China era,the introduction and installation of industrial robots by enterprises can affect the optimal allocation of the labor market.This phenomenon has essential experience and reference significance for guiding industrial digitalization and intelligent transformation and promoting the high-quality development of people’s livelihood.

Discussion on the dispersion & agglomeration of aircraft industry

The aircraft industry is crucial to the economy and security of a nation. In this paper,the spatial characteristics and patterns of the aircraft industry are analyzed on different spatial scales. It is found that there is a ’Matthew effect’ in the global aircraft industry and the spatial evolution of the industry is consistent with the industrialization process of the whole country. It is also revealed that the spatial evolution of the country is driven by both the centripetal forces including capital,talents,technology and agglomeration economies and the centrifugal forces including the comparative advantage,cost & risk sharing,emerging markets,development policy for less-developed regions and the military imperative. These forces have both market-stabilizing and market-disrupting effects on the spatial evolution of the aircraft industry. The study suggests that lessons drawn from the experiences in the United States and France are expected to be conducive to the rise of China’s aircraft industry in the future.

Effects of Environmental Resources on Industrial Agglomeration

Firstly,agriculture,industry and tourism in the Yangtze River Delta,Pearl River Delta and Bohai Economic Rim were chosen to represent the primary,secondary and tertiary industries respectively,and industrial agglomeration in the three economic zones was analyzed using location quotient coefficient method.Afterwards,the critical factors influencing industrial agglomeration were discussed using gray correlation analysis.The results showed that industrial agglomeration of agriculture,industry and tourism formed gradually in the three economic zones,and the critical factors influencing industrial agglomeration were human capital,science and technology progress,and natural resources.Meanwhile,environmental pollution affected and restricted the development of industrial agglomeration.

An Empirical Study on Agglomeration Economies and Optimal Agglomeration for China＇s Manufacturing Industries

Employing the statistics of 750, 000 firms obtained from China ＇s Third National Industrial Census, this paper estimates the production functions of 112 3-digit industries in four categories to examine the patterns of agglomeration economies, optimal scale of agglomeration, and the endogeneity of agglomeration level in manufacturing industries. Results indicate the existence of localization economies at city level and urbanization economies at province level, while the latter has very small economic significance. Decreasing returns to scale at firm level suggest that the source of agglomeration economies is technological externality emphasized by urban economic theory. With a rising scale, agglomeration economies exhibit an inverted U-shaped curve. Each industry has an optimal scale of agglomeration where the agglomeration economy is maximized. However, the actual scale of agglomeration is generally far lower than the optimal level. Corresponding to the optimal scale of agglomeration, the level of industrial agglomeration measured by the index is endogenous.

Industrial carbon emissions and influencing factors in the Yangtze River Delta urban agglomeration

This paper calculates the industrial carbon emissions of the Yangtze River Delta urban agglomeration over the period 2006-2013. An empirical analysis is conducted to find out the influencing factors of industrial carbon emissions of the Yangtze River Delta urban agglomeration, using a spatial Durbin panel model. The results show that cities with larger industrial carbon emissions often enjoy low annual growth rates, while the cities with smaller ones enjoy higher annual growth rate; There exists a comparatively strong positive correlation in space in per capita carbon emission; urbanization, and total population. GDP per capita and international trade are the main influencing factors of industrial carbon emissions; There are spatial spillover effects on international trade and urbanization of neighboring cities, which have a significant impact on local industrial carbon emissions.

Research on Coordinating relations between Industrial agglomeration and Regional Technology Innovation Ability in Yangtze River Economic Belt

Based on principal component analysis, coordinated development model and location entropy, this paper analyzes the coordinated development of regional scientific and technological innovation ability and industrial agglomeration level and the spatial differences in Yangtze River economic zone. Firstly, the regional science and technology innovation ability is divided into two parts： innovation input and innovation transformation result. The accumulation of knowledge outside the region is introduced as a variable influencing the correlation effect, and the index system of regional innovation capability is constructed. According to the degree of coordination between the regional technological innovation ability and the level of industrial agglomeration, the Yangtze River economic belt provinces and municipalities are divided into moderate disorder class, serious disorder class, extreme disorder class, middle and lower reaches of the Yangtze River region interregional knowledge accumulation weak.

Industrial Discretization Mechanism and Agglomeration Counter-measures for Industrial Parks

With rapid development of industrial parks in China,it lacks strict control in planning for establishment and land use of industrial parks.The supply is seriously surplus,and cut-throat competition takes place in investment inviting activities,leading to discretized development of industries in industrial parks.Industrial park and enterprise cluster have a common foundation,namely,geographic concentration of industries.Industrial parks with enterprise cluster development show various advantages,so industrial parks should take industrial cluster development as their ultimate direction.From problems in construction of industrial parks,this paper analyzes mechanism of discretized industrial parks,and accordingly puts forward countermeasures for promoting cluster development:(1)Scientifically distributing administrative power of local government,improving supervision and assessment mechanism,and guaranteeing reasonable supply of industrial parks from system;(2)Introducing market-oriented industrial park construction mechanism,to promote market-oriented supply of industrial parks;(3)Strengthening construction of administrative ethics and abilities of local government,to promote coordinated and healthy development of industrial parks;(4)Forming excellent enterprise cluster development expectation and strengthening cluster-based decisions of enterprises entering industrial parks.

The Impact of Industrial Agglomeration on Carbon Emission Intensity:Evidence from China

The paper measures the total carbon emissions and carbon emission intensity of different Chinese provinces between 2000 and 2012,then analyses the spatial features and dynamic evolution of carbon emission intensity through exploratory spatial data analysis,to explore its clustering characteristics of spatial and temporal distribution and dynamic evolution.The effect of industrial agglomeration on the carbon emission intensity in China is estimated by using spatial econometric model.According to the research,three new findings are revealed as follows:firstly,inter-provincial carbon emission intensity in middle-west and northeast areas is much higher than southeast areas in China.Secondly,the spatial domain dependence and difference of China's inter-provincial carbon intensity exist simultaneously.Thirdly,the elastic coefficient of carbon intensity for industrial agglomeration change is between-0.228%and-0.37%.On the basis of these conclusions,the paper will put forward several policy recommendations according to empirical study.

Exploring the coupling relationship of industrial agglomeration and low-carbon economy considering spatiotemporal differentiation:An empirical study in China’s construction machinery industry

Although China’s construction machinery thrives to meet the needs of construction,a number of challenges still remain to be overcome,such as lack of thorough knowledge of regional disparities and several limitations in terms of carbon emissions and economic development.Meanwhile,a low-carbon economy was proposed and implemented in China.This research aims to investigate the differences in industrial agglomeration of construction machineries and further explore the relationship between industrial agglomeration and low-carbon economy.On this basis,spatiotemporal analysis was performed to evaluate the levels of industrial agglomeration in different regions based on the situations of China’s construction machinery industry.Furthermore,this study explored the interaction between industrial agglomeration and low-carbon economy utilizing the coupling coordination analysis method.Results showed that the coupling coordination of the two subsystems was extremely unbalanced in 2006,and it maintained an increasing trend,reaching a relatively high level in 2018.Finally,suggestions,such as establishing a policy guarantee system and implementing variable policies in different regions,were proposed to provide guidelines for the government decision-making and promote the sustainable development of China’s construction machinery industry.

流通业集聚对农业韧性的影响

提升农业韧性是加快推进农业强国的重要内容。面对资源环境约束、人口红利衰减等诸多问题,深入分析流通业集聚对农业韧性的影响,有助于提升供应链效率,推进农业供给侧结构性改革,夯实国家粮食安全根基。以2008—2020年省级面板数据为样本,通过熵值法和区位熵测算农业韧性和流通业集聚程度,采用空间杜宾模型和门槛效应模型进行实证分析。研究发现,流通业集聚与农业韧性存在显著空间关联性,且具有空间集聚特征。流通业集聚对农业韧性存在空间溢出效应。在溢出效应下,流通业集聚不仅对本地区农业韧性存在促进作用,对周边地区也存在积极影响。受到流通业集聚程度影响,流通业集聚对农业韧性的影响在东部地区比较明显,中部地区次之,在西部地区不明显。流通业集聚对农业韧性的影响存在门槛效应,当流通业集聚程度低于门槛值0.803时,存在促进作用;当越过门槛值0.803时,促进作用显著提升。基于此,要进一步发挥流通业集聚效应,加快建设高效的农村现代流通体系,同时要促进地区间合作交流,加强农产品流通枢纽建设,继续为农业发展蓄势赋能。