Urban Economic Development Research Articles

Impacts of Urban Development on Regional Green Development Efficiency—A Case of the Yangtze River Delta in China

Green development is a significant concept that cannot be ignored in contemporary society. However, in the context of China’s transition from high-speed growth to high-quality development, the complex impact of urban development has brought great challenges to the urban green environment. In this paper, the impact of urban development on green development efficiency (GDE) was studied. First and foremost, a Super-SBM model was introduced to measure the GDE of 41 cities in the Yangtze River Delta during 2009–2018. Moreover, a Tobit model was used to analyze the correlation between four urban development factors, including economic development and GDE. According to the results, the mean GDE of the Yangtze River Delta is 0.824, and the GDE in most cities there has shown a fluctuating growth trend in this decade. By comparison, the GDEs of coastal cities and cities in the southeast of the Yangtze River Delta were generally higher than those of cities in the north, indicating that the green development is geographically unbalanced, and there is spatial heterogeneity in the area studied. The study’s results also suggest that the urban economic development, innovation level, and government planning play a significant role in stimulating urban green development, and that the expansion of urban construction area hinders the improvement of GDE.

Intelligent Research Based on Deep Learning Recognition Method in Vehicle-Road Cooperative Information Interaction System.

The vehicle-road collaborative information interaction system is an emerging technology system that realizes the sharing of information between vehicles, vehicles and roads between traffic road information, and driving vehicle information. It is of positive significance for improving the urban transportation construction system and promoting urban economic development. This paper conducts intelligent research on the deep learning recognition method based on the vehicle-road collaborative information interaction system. First, this article comprehensively expounds the concept of the vehicle-road collaborative information interaction system and then introduces the specific components, functions, and applications of the system structure. Then, this article researches on deep learning recognition methods and introduces three deep learning recognition methods. They are background extraction method, YOLOv2 method, and DeepSORT method. Finally, this paper conducts simulation comparison experiments between deep learning algorithms and traditional algorithms. It evaluates the feasibility of the algorithm in the vehicle-road collaborative information interaction system in three aspects: vehicle target detection, vehicle flow identification, and emergency decision-making. The experimental results show that the value of the intersection ratio of vehicle target detection in the deep learning recognition method is 8.66% higher than that of the traditional algorithm, the recall rate is 7% higher than that of the traditional algorithm, and the vehicle flow recognition accuracy is 1.8% higher than that of the traditional algorithm. The early warning time in emergency decision-making is also shorter than that of traditional algorithms, which shows the unique superiority and feasibility of deep learning algorithms in the vehicle-road collaborative information interaction system.

Analysis on the Integral Design of Public Art from the Perspective of Urban Culture

Urban space is formed through long-term development according to its unique landscape natural conditions, historical heritage and social and economic conditions. Urban culture is the result of long-term influence of urban economy, nature and climate conditions. Urban cultural construction is an important content of urban construction and development, and is the soul and core of urban life. It is of great significance to improve the overall image of a city, improve the overall quality of life of urban population, and promote the harmonious and sustainable development of urban economy and society. From the perspective of urban culture, this article explains the meaning of public art holistic design, summarizes the function of public art, and grasps the historical development of public art and urban cultural fusion. From the planning and design of the system of city culture under the background of public art perspective, this article researches the integrity of the public art design strategy, so as to provide reference for the related work.

Relationship between Urban Land Use Efficiency and Economic Development Level in the Beijing–Tianjin–Hebei Region

Due to limited land resources, it is necessary to balance urban economic development and efficient land use. Clarifying the relationship between the two is crucial to improving both economic efficiency and land use efficiency. Considering the undesirable output of urban land use, this paper adopts a super efficiency SBM model to quantify the urban land use efficiency (ULUE) of the Beijing–Tianjin–Hebei (BTH) region from 1999 to 2019, and analyzes the relationship between ULUE and economic development level (EDL) by combining the Tapio model and the environmental Kuznets curve (EKC) model. The results show the following: (1) During the study period, the ULUE showed a fluctuating upward trend on the temporal scale, with the lowest and highest inflection points occurring in 2002 and 2018, respectively, and a distribution pattern of “high in the southeast and low in the northwest” on the spatial scale. (2) The decoupling relationship between ULUE and EDL showed repeated fluctuations between decoupling and coupling states on the temporal scale, but the overall showed a transition trend from decoupling state to coupling state. On the spatial scale, from north to south, there were a strong decoupling state (SDS), weak decoupling state (WDS), strong decoupling state (SDS), and weak decoupling state (WDS) in order, showing a regular interval repetition distribution pattern. (3) The relationship between ULUE and EDL showed an EKC “U-shaped” curve, that is, ULUE decreases first and then increases with the increases in EDL. The results of this study can provide a reference for the coordinated and sustainable development of the BTH region.

Rent-seeking, promotion pressure and green economic efficiency: Evidence from China

Focusing on the quality and sustainability of urban economic development and using a panel dataset of 263 cities in China from 2004 to 2015, this paper regards each city as a production unit and uses the Epsilon-Based Measure approach to measure green economic efficiency by innovatively regarding labor, capital, land and energy as input factors, GDP as a desirable output, and environmental pollution emissions and land finance as undesirable outputs. Further, this paper examines the effect of rent-seeking on green economic efficiency with a fixed effects model and explores the role of promotion pressure in the relationship between rent-seeking and green economic efficiency with a panel threshold model. Our study finds that: (1) Rent-seeking exerts a significant negative impact on green economic efficiency. (2) Compared to areas of higher promotion pressure, the negative effect of rent-seeking on green economic efficiency is greater in areas facing lower promotion pressure. (3) The relationship among promotion pressure, rent-seeking and green economic efficiency differs in areas facing different “green” promotion pressure.

ON SOME ASPECTS OF DIGITAL TRANSFORMATION IN URBAN MANAGEMENT

The article is devoted to the issues of digital transformation of management in the field of urban economy, priorities for improving its efficiency. Special attention is paid to rating analysis and evaluation of the «IQ of Cities’ Index. The results of the implementation of the Smart City project in this territory are also disclosed. The necessity of training the personnel of state and municipal administration bodies in end-to-end digital technologies within the framework of the Digital Economy project is substantiated. The main directions of urban economy development in the digital environment are considered within the framework of the document «Strategy for the Development of the Information Society in the Russian Federation for 2017-2030» and the National Project «Digital Economy», which in turn, includes, a number of subprojects, one of which is «Digital Public Administration», as well as the federal project «Smart the city». The article discusses the specific results of regional policy in the field of digitalization of the economy in the Altai Territory, considers the goals and objectives set in federal national projects. The problems of project implementation and urban management. The problem of the availability of qualified personnel in the field of municipal administration is considered in detail. Specific ways of solving this problem, identified as a result of monitoring and conducting scientific events, are proposed.

The Relationship between the Degree of Urban Intelligence and the Performance of Enterprises in the City Based on Artificial Intelligence and Soft Computing

With the rapid development of Internet technology, artificial intelligence and soft computing are gradually applied in various fields. Through active transformation, many companies use artificial intelligence, software computing, and other technologies to develop sales channels, improve corporate performance, and obtain greater benefits. However, some traditional enterprises have been gradually eliminated by the market because they have not rapidly transformed and improved their intelligence. Urban intelligence is the trend of urban economic development, and the degree of intelligence in a city is closely related to the number and scale of intelligent enterprises. In the context of artificial intelligence and soft computing, this paper expounds the relationship between enterprise performance and the degree of urban intelligence and analyzes the key factors affecting enterprise performance and the impact of enterprise performance on the degree of urban intelligence. The results show that Internet technologies such as artificial intelligence and soft computing can improve the performance of enterprises, thereby improving the level of intelligence in cities.

Spatial and Temporal Evolutionary Characteristics and Its Influencing Factors of Economic Spatial Polarization in the Yangtze River Delta Region.

Economic spatial polarization is a manifestation of unbalanced urban development. To study the unbalanced development of Chinese cities, this paper selects 41 cities in the Yangtze River Delta (YRD) region, introduces the polarization index and exploratory spatio-temporal analysis to portray their spatio-temporal evolution process, and analyzes the differences in spatial polarization patterns of economic development in three dimensions of economic quantity, quality, and structure. Finally, we use the geographic detector model to explore the driving factors and then propose corresponding policy recommendations. The results show that: (1) the degree of difference in economic development in the YRD region narrowed from 2000 to 2019, and the spatial polarization level of urban economic development showed a fluctuating downward trend, among which the spatial polarization level of the economic structure dimension has been increasing. (2) In terms of spatial distribution, the “Yangtze River Delta urban agglomeration” has economic spatial polarization in the YRD region has become the peak contiguous zone, and the spatial polarization of economic quantity and quality dimensions has formed a “polycentric” pattern, while the spatial polarization of economic structure dimensions shows a stable “one core, multiple sub-center” distribution. (3) From the evolution of spatial polarization, most cities have strong spatial locking characteristics without a transition. Spatially positive polarized are concentrated in the YRD urban agglomeration, and the inter-city neighboring relations are mainly positive synergistic growth, while the negatively polarized cities are mostly distributed in the peripheral areas of the YRD and the neighboring relations are negative synergistic growth. At the same time, the spatially positive polarization effect of the economic quantity dimension and the spatially negative polarization effect of the economic structure dimension among cities are more significant. (4) The economic spatial polarization in the YRD region is mainly dominated by market prosperity and urbanization level, while the driving effect of scientific and technological innovation development on the urban economy has also been expanding in recent years. Promoting the reasonable allocation of marketization, urbanization, and technology among cities with positive and negative spatial polarization in the future will contribute to balanced urban and regional economic development in a coordinated and orderly manner.

A Novel Use of Latent Class Analysis to Identify Patterns of Workplace Hazards among Informally Employed Domestic Workers in 14 Cities, United States, 2011-2012.

Few studies, mostly descriptive, have quantitatively analyzed the working conditions of domestic workers (DWers) informally employed by private households in the USA. These workers are explicitly or effectively excluded from numerous workplace protections, and scant data exist on their exposures or how best to categorize them. We analyzed data from the sole nationwide survey of informally employed US DWers with work-related hazards data, conducted by the National Domestic Workers Alliance, the University of Illinois Chicago Center for Urban Economic Development, and the DataCenter in 14 US cities (2011-2012; N = 2086). We used exploratory latent class analysis to identify groups of DWers with distinct patterns of exposure to 21 self-reported economic, social, and occupational workplace hazards (e.g. pay violations, verbal abuse, heavy lifting). We then used multinomial logistic latent class regression to examine associations between workers' individual, household, and occupational characteristics and latent class membership. Among the 2086 DWers, mean age was 42.6 years, 97.3% were women, 56.0% Latina/o, 26.5% White, 33.2% undocumented immigrants, and 11.7% live-in. 53.5%, 32.0%, and 14.5% primarily worked doing housecleaning, child care, and adult care, respectively. 49.9% of workers reported ≥3 hazards. Latent class analysis identified four groups of DWers doing: 'Low hazard domestic work' (lowest exposure to all hazards), 'Demanding care work' (moderate exposure to pay violations [item response probability (IRP) = 0.42] and contagious illness care [IRP = 0.39]), 'Strenuous cleaning work' (high exposure to cleaning-related occupational hazards, such as climbing to clean [IRP = 0.87]), and 'Hazardous domestic work' (highest exposure to all but one hazard). Covariates were strongly associated, in many cases, with latent class membership. For example, compared to other DWers, DWers doing 'hazardous domestic work' had the largest predicted probability of being economically insecure (0.53) and living-in with their employers (0.17). Results indicate that informally employed US DWers experience distinct patterns of workplace hazards, and that it is informative to characterize DWers' exposures to different sets of multiple hazards using latent class analysis.

An empirical study on the high-quality development efficiency of the urban economy in China

High-quality development has become a popular term to describe China's development. From the perspective of social hot issues and bibliometric analysis, this paper uses the method of SNA (Social Network Analysis) to sort out, dig and analyze the literature related to "high-quality development." The results show that there is a close relationship between "high-quality development," "high-quality economic development" and "high-quality urban economic development," which are the best answers to the questions of why high-quality development is important in China. This study, through literature review and analysis, clarifies the logical concept of the academic research on "high-quality development," which will provide reference and important guidance for further research on "high-quality development."

Rethinking the Contribution of Land Element to Urban Economic Growth: Evidence from 30 Provinces in China

In China, disputes regarding the benefits and drawbacks of land finance have been heated, but the role of land in urban economic growth has received insufficient attention, particularly on a macro scale. This research used the Cobb–Douglas production function model to investigate the role of land in urban economic growth. Then, we conducted an empirical test using panel data from 30 provinces from 2000 to 2019, with the goal of revealing the role of land in urban growth and spatio-temporal inequalities in China. Furthermore, to find the spatial steady-state level of land contributions, σ convergence, absolute β convergence, and condition β convergence tests were applied. The results show that: (1) China’s urban economic development was influenced by the combined element of land, capital, and labor; (2) the contribution of land to China’s urban economy experienced a turning point during the “12th Five-Year Plan”; (3) the spatio-temporal convergence of the contribution of land showed convergence in the east but nonconvergence in the central and western regions; and (4) β convergence demonstrated convergence in eastern, central, and western China. Given the complex and turbulent international political and economic context, the Chinese government should think about how to foster continuous energy by supporting land-supply policies that are adapted to local needs.

Evaluation Index System of Economic and Social Development Pilot Area Based on Spatial Network Structure Analysis.

In order to improve the evaluation effect of the economic and social development pioneer area, this paper constructs the evaluation index system of the economic and social development pioneer area based on the spatial network structure analysis method and obtains an intelligent analysis system. Moreover, from the perspective of economic development information flow, this paper uses information flow direction analysis method and advantage flow analysis method to discuss the structural characteristics of urban economic development network in the economic belt, providing new methods and perspectives for the study of urban economic development flow. In addition, this paper attempts to propose a universal method for quantitative research on the “flow space” structure of urban economic development as the forward-looking content of urban economic development. According to the simulation test results, it can be seen that the evaluation index system of the economic and social development pilot area based on the analysis of the spatial network structure proposed in this paper has a good effect.

Empirical Analysis and Suggestions on the Selection of City Leading Industries based on SSM Algorithm

City leading industries are the pillars of urban economic development and are constantly changing as urban economic development enters different stages. The weight setting of many factors in the existing leading industry selection methods and means is mainly set by humans, which is highly subjective and lacks dynamics, integrity, and quantification, and the accuracy of prediction results is not high. Therefore, starting from respecting objective data, the SSM selection method with both dynamic and quantifiable properties is introduced. Based on the SSM mathematical model and principles, 35 manufacturing industries in Guangzhou in 2015 and 2020 are selected as initial variables and stage variables, respectively, taking 35 corresponding industrial sectors in the province as reference variables at the same time point and using the SSM algorithm as an analytical tool to conduct an empirical analysis of the share deviation component, structural deviation component, and competitiveness deviation component of the 35 manufacturing industry sectors in Guangzhou. After drawing the Shift-share analysis chart, it was found that there are 12 industrial sectors most likely to become the city leading industries in Guangzhou, and 4 suggestions for the development planning of city leading industries were put forward; they are, respectively, ➀ accelerate traditional industries technological upgrading, ➁ focus on optimizing automobile manufacturing industry, ➂ promote leading industries independent innovation, and ➃ create leading industry sharing platform.

Industrial agglomeration, urban characteristics, and economic growth quality: The case of knowledge-intensive business services

We discuss the relationship between knowledge-intensive business services (KIBS) agglomeration and the quality of urban economic growth using a general panel model and a spatial econometric model. Further, we investigate the mechanism for the effect of KIBS agglomeration on the quality of urban economic growth from the perspective of externalities. We find, first, that there is a significant positive relationship between KIBS spatial agglomeration and economic-growth quality. Further, KIBS spatial agglomeration has a spatial spillover effect on urban economic development. Second, there is a differential effect of KIBS spatial agglomeration on the quality of urban economic growth, influenced by factors such as place and time. Third, KIBS spatial agglomeration mainly enhances the quality of urban economic growth through Marshall–Arrow–Romer and Jacobs’ externalities.

Explaining social insurance participation: the importance of the social construction of target groups in China

ABSTRACT The extension of welfare coverage to immigrants and their participation in welfare programmes has been a subject of concern in many countries. By applying the theory of social construction of target groups and a framework of stakeholder analysis, this article attempts to explain why migrants in the construction sector of China fail to participate despite the urban pension scheme aiming to expand its coverage. By analysing social construction and the interaction among the government, enterprises and migrants, this study suggests that migrants in the construction sector are considered a necessity for urban economic development but most migrants are low-skilled with limited education; thus, the policy is characterized by selectivity and inflexibility, which has feed-forward effects on both enterprises and individuals. On the one hand, enterprises select skilled technicians and management personnel to participate in urban pension schemes while compromising with most other construction workers to avoid contribution to the social insurance pool; on the other hand, most individual migrants also believe the unlikelihood of truly benefiting from the urban pension extension. This article suggests that local governments should change their stereotypes and negative attitudes toward construction workers to ensure that the objective of equity could be realized in policy design and implementation.

Analysis on the relationship between accessibility of intercity rail transit and urban economic development

As the backbone of regional transportation development, intercity rail transit plays an important role in guiding and driving the economic integration development of Guangdong-Hong Kong-Macao Greater Bay Area (GBA). This paper analyzes and summarizes the variables that measure the level of intercity rail transit and economic development, besides, the paper puts forward the calculation method of intercity rail transit accessibility and economic development level. Furthermore, it constructs the coupling coordination degree model, quantitatively evaluates the correlation between the accessibility of intercity rail transit and the level of economic development by using difference-in-difference (DID) model. Finally, by taking 11 cities in GBA as examples, the paper further studies the impact of intercity rail transit accessibility on urban economy in different years. The results show that intercity rail transit has significant positive benefits on urban economy, and the elastic coefficient is 0.012 8. The more the development of transportation and economy is coordinated, the more obvious the positive impact of intercity railway operation is brought by the opening of the intercity railway. This proposed method can provide theoretical and practical guidance for the overall coordinated development of the region.

Dynamic Threshold Effect of Directed Technical Change Suppress on Urban Carbon Footprint in China

Promoting technical change is an important driving force for promoting the sustainable development of urban economy and ecology; however, the technical change is not always neutral and technical change may has a certain direction. This paper uses the DEA-Malmquist index to measure the directed technical change of 280 cities in China from 2009 to 2019, and uses the DMSP/OLS night light data to characterize the urban economic development level. It uses the dynamic threshold regression model to analyze the impact of directed technical change on urban carbon footprint under different economic development levels. The results show that: (1) during the study period, the carbon footprint of Chinese cities has a positive spatial correlation, and the direction of technical change is towards capital-saving overall. (2) The impact of capital-saving technical change on urban carbon footprint presents a negative double-threshold characteristic in China, and the inhibition of capital-saving technical change on the urban carbon footprint becomes stronger with the increasing economic development level. (3) The inhibitory effect of capital-saving technical change on carbon footprint has regional heterogeneity, and the inhibitory effect of capital-saving technical change on carbon footprint is stronger in eastern China than other regions. (4) Industrial structure, energy structure and innovation efficiency are mediating variables of the inhibitory effect of capital-saving technical change on carbon footprint except for population density.

Research on Modeling and Simulation System of Economic Factors Based on Swarm Platform

Based on the VAR model, this paper uses the stepwise regression analysis method to analyze the main influencing factors of the economy, and empirically analyzes the impact of Nanning's fixed asset investment on urban and rural economic development in the past ten years. Use eviews statistical analysis software to perform regression analysis on the data to obtain a regression model, and build a VAR model according to investment and income, and finally find out the correlation of variables. On the basis of the existing theory (genetic algorithm, cellular automata and classification system), according to the agent-based modeling and simulation method Swarm, according to the steps of agent-based distributed simulation of complex system, modeling and simulation are carried out. The abstraction level of simulation is established on the big data computing level, and the final simulation results are briefly explained and explained.

Impact of Ports’ Diversification-Driven Industrial Transformation on Operating Performance: Regulatory Effect of Port Cities’ Urban Economic Development Level

Diversification-driven industrial transformation (DIT) has become a strategy for port enterprises dealing with the dual impacts of slowing economic growth and pressure from domestic competitors. Considering the interactive relationship between ports and port cities, the subjects of this study were publicly listed port-related enterprises in China and corresponding port cities. The main and regulatory effects were used to test and analyze the impact of port enterprises’ DIT and port cities’ urban economic development (UED) level on three aspects of enterprises’ operating performance: profitability, operating capacity, and development capability. The study found that the relationship between DIT and operating capacity is nonlinear and shaped like an inverted U, and exhibits an increasing negative impact on profitability and development capability. The UED level promotes those two aspects of port enterprises, has minimal impact on operating capacity, and has a positive regulatory effect on the relationship between port enterprises’ DIT and operating performance. The empirical test results can provide decision-making basis for port enterprises to formulate diversified transformation strategy reasonably and achieve performance improvement, which is conducive to promoting the interactive development and integration of port city in China.

The influence and analysis of urban spatial elements on national economic development

ABSTRACT Cities play an essential role in promoting the development of the whole national economy. Many scholars have proposed different methods to study this problem, but all have ignored the critical influence of network attention on the economy. Therefore, this study uses big Network data to profoundly analyse the relationship between urban spatial development and economic growth in eastern, central, and western China, further study this issue, and provide theoretical support for urban economic development. This study first divides China into three regions: eastern, central, and western, then selects the indicators of the national economy and urban development from 2014 to 2019, and finally constructs a panel regression model to explore the relationship between urban space elements and national economic development. The results show that China’s national economic development is closely related to spatial factors such as urban transportation, environment, science and technology, energy consumption, and housing price. These findings will help to make full use of the natural advantages of each region and guide the rational planning of the urban economy. This study provides references for urban development planning and industrial transfer in various regions of China and offers feasible suggestions for China’s overall national economic growth.