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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

The impact of energy-intensive industries on air quality in China’s industrial agglomerations

Understanding the driving forces of regional air pollution and its mechanism has gained much attention in academic research,which can provide scientific policy-making basis for economy-environment sustainability in China.Being an important energy and industrial base,the North China Plain region has been experiencing severe air pollution.Therefore,understanding the relationship between industrialization and air quality in this region is of great importance for air quality improvement.In this study,the average annual concentrations of SO2,NO2 and PM10 in 47 sample cities at and above the prefecture level in the North China Plain region from 2007 to 2016 were used to illustrate the spatiotemporal characteristics of air pollution within this region.Furthermore,panel data model,panel vector autoregression model,and impulse response function were used to explore the correlation and driving mechanism between energy-intensive industries and regional air quality.The results show that:first,overall air quality improved in the study area between 2007 and 2016,with a significant greater fall in concentration of SO2 than that of NO2 and PM10;second,provincial border areas suffered from severe air pollution and showed an apparent spatial agglomeration trend of pollution;and third,the test results from different models all proved that energy-intensive industries such as the chemical,non-metallic mineral production,electric and thermal power production and supply industries,had a significant positive correlation with concentrations of air pollutants,and indicated an obvious short-term impulse response effect.It concludes that upgradation of industrial structure,especially that of energy-intensive industries,plays a very important role in the improvement of regional air quality,which is recommended to be put in top priority for authorities.Therefore,policies as increasing investments in technological innovation in energy-intensive industries,deepening cooperation in environmental governance between different provinces and cities,and strengthening supervision and entry restrictions are suggested.

Does innovative city pilot policy promote urban green growth in China?An analysis of green total factor productivity,2005-2020

The innovative city pilot policy(ICPP)is an essential manifestation of China’s construction of an innovative and green-driven development country.We incorporated urban green total factor productivity(GTFP)growth into the evaluation of ICPP.Based on the panel data of 223 cities in China from 2005 to 2020,we used the difference-in-differences model to empirically assess the influence and mechanism of the ICPP on urban GTFP growth.The main results show that(i)The ICPP has maintained an effectively fluctuating promotion on urban GTFP growth,mainly manifested in the urban green technological progress improvement.(ii)The ICPP has urban heterogeneity in promoting GTFP growth in pilot cities,mainly affecting key cities such as provincial capitals.(iii)The interaction between the agglomeration of producer services and the ICPP inhibits GTFP growth in pilot cities.

CONGRATULATION

A co-publishing agreement was signed jointly by Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences and Springer-Verlag GmbH in November 2005. In accordance with the terms of this agreement, the journal CHINESE GEOGRAPHICAL SCIENCE will be co-published with Springer, commencing with Volume 17, Issue 1, 1 st January 2007.

An Analysis of Development Trend of Food Industry in Three Northeastern Provinces of China

The food industry has developed into a leading industry in Northeast China.However,various economic indicators have shown a significant downward trend in recent years.Through the systematic analysis of the development trend of food industry in Northeast China in the past ten years,especially in 2014,it is found that in the context of stable and smooth operation of the food industry in China,the efficiency of the main processing industries declines in the three northeastern provinces of China,there is a simultaneous decline in the share of output value of the leading industries in the output value of manufacturing sector in three provinces,the collective and individual capital withdrawal is obvious in the paid-up capital,and there is a simultaneous decline in the industrial production and sales rate and the export delivery value.The food industry in Northeast China has plunged into the dilemma of development.Finally,this article puts forward some targeted recommendations from aspects of policy making,industrial agglomeration and enterprise cultivation.

Biotechnology Development Status and Prospects

In current world, with the rapid development of science and technology and emerging new and interdisciplinary science, technological progress is having extensive and profound impact on the economic and social aspects. Along with the wave of information technology revolution, life sciences and biotechnology are showing the developing prospect of unlimited possibilities. More and more people have foreseen the arrival of a new era of life sciences, which has important impact on science and technology development, social progress and economic growth.

Foreign Manufacturing Investment in China:The Role of Industrial Agglomeration and Industrial Linkages

This paper investigates the forces that determine the industrial distribution of foreign manufacturing investment. It highlights the importance of industrial agglomeration and industrial linkage in attracting foreign investment to manufacturing industries. Using panel data for two-digit manufacturing industries in Beijing during the period of 1999-2004, this study finds that geographically agglomerated industries with strong intra-industrial linkages are indeed attractive to foreign investment. Previous foreign investment has led to the current industrial concentration or foreign investment. Investors also favor capital-intensive and technology-intensive industries, and they tend to be attracted to the most profitable and exporting industries, but avoid industries with high real labor costs and high entry barriers. Competitive local industries that possess comparative advantages are critical for attracting foreign investment. The existence of industrial clusters certainly enhances a city＇s attractiveness to foreign investment.

Revealing Spatial Spillover Effect in High-Tech Industry Agglomeration from a High-Skilled Labor Flow Network Perspective

Understanding the high-tech industrial agglomeration from a spatial-spillover perspective is essential for cities to gain economic and technological competitive advantages.Along with rapid urbanization and the development of fast transportation networks,socioeconomic interactions between cities have been ever-increasing,traditional spatial metrics are not enough to describe actual inter-city connections.High-skilled labor flow between cities strongly influences the high-tech industrial agglomeration,yet receives less attention.By exploiting unique large-scale datasets and tools from complex network and data mining,the authors construct an inter-city high-skilled labor flow network,which was integrated into spatial econometric models.The regression results indicate that spatial-spillover effects exist in the development of high-tech industries in the Yangtze River Delta Urban Agglomeration region.Moreover,the spatial-spillover effects are stronger among cities with a higher volume of high-skilled labor flows than among cities with just stronger geographic connections.Additionally,the authors investigate the channels for the spillover effects and discover that inadequate local government expenses on science and technology likely hamper the high-tech industrial agglomeration,so does the inadequate local educational provision.The increasing foreign direct investments in one city likely encourages the high-tech industrial agglomeration in other cities because of the policy inertia toward traditional industries.

The Effects of Tourism Industry Agglomeration on Tourism Environmental Carrying Capacity: Evidence from a Panel Threshold Model

By utilizing the panel data of 26 cities in the Yangtze River Delta urban agglomeration of China from 2000 to 2018, this study constructs a panel threshold model to examine the nonlinear relationship between Tourism Environmental Carrying Capacity(TECC) and Tourism Industry Agglomeration(TIA). TECC is evaluated based on the Driver-Pressure-State-Impact-Response(DPSIR) model, and TIA is estimated by the location quotient index.The analysis reveals that TIA and TECC both show growth trends and significant regional differences among the 26cities, but the latter fluctuates at certain stages. Moreover, TIA has a significant double threshold effect on TECC,which shows that the positive impact of TIA is enhanced initially but then weakens afterwards. Theoretically, this study contributes to enriching the current literature on TECC from the perspective of TIA. Practically, it could help local governments effectively arrange agglomerations to promote the sustainable development of the tourism industry in China.