Regional Resource Allocation Research Articles

Impact of inter-provincial power resource allocation on enterprise production behavior from a multi-scale correlation perspective

The endowment of production factors is an important factor that restricts the choice of enterprise operation strategy, further affecting the regional industrial structure and the quality of economic development. Due to the fact of the divided power market and the administrative system with a spatial nesting structure in China, the power resource allocation policies have an important and heterogeneous impact on enterprise production behavior. Therefore, this study systematically explores the cross-level influence mechanism of regional power resource allocation on enterprise production efficiency, power efficiency, and location transfer with a hierarchical linear model (HLM) and the large sample data of 239,483 power-consuming enterprises in China's manufacturing industry from 2008 to 2015. The results indicate that: (1) There are nested relationships between the data and the HLM model is reasonable. That is, the enterprise production behavior under different provincial government management is heterogeneous. (2) The power resource allocation plays an important role in the choice of enterprise production behavior. Specifically, the increase of power resource allocation deepens the negative impact of enterprise factor substitution on enterprise production efficiency, weakens the positive impact of enterprise R&D intensity on enterprise power efficiency, and has a direct positive effect on enterprise location transfer. The above findings improve the research chain of economic consequences of resource allocation, deepen the understanding of the specific impact mechanism of energy policies on enterprise behavior, and provide a decision-making reference for the government to optimize the power supply structure and power grid layout.

The internal-structural effects of different types of environmental regulations on China's green total-factor productivity

Environmental regulation is a crucial tool for promoting green economic development, but how it will affect the internal structure of green economy is unknown. By applying three-hierarchy meta-frontier DEA and panel data from 2001 to 2018, we measured five key internal factors of China's green total-factor productivity (GTFP), i.e., technological innovation, industrial structure, regional balance development, scale, and resource allocation efficiency. On this basis, we examined the internal-structural effects of different types of environmental regulations on GTFP. The results show that there are distinct non-linear relationships (“U” or inverted “U” curve) between different types of environmental regulations and the internal factors of GTFP. And different types of environmental regulations have quite various internal-structural effects on GTFP: (1) the command-and-control regulation can improve GTFP by inducing technological innovation, optimizing industrial structure, improving scale efficiency, and promoting regional coordinated development; (2) the market-based regulation exerts negative effect on GTFP by inhibiting technological innovation and reducing industrial structural, scale, and resources allocation efficiencies. While it has positive effect on regional coordinated development; and (3) the voluntary regulation has negative effect on GTFP mainly by inhibiting technological innovation and regional balance development efficiencies, while it can advance scale efficiency.

Influencing factors of farmers' land transfer, subjective well-being, and participation in agri-environment schemes in environmentally fragile areas of China.

One of the purposes of agri-environment schemes (AESs) is to persuade farmers to make good environmental contributions. Understanding the determinants of farmer behavior and the decisions they make regarding AESs is crucial because it helps policymakers create schemes with a broader reach and a higher likelihood of achieving environmental goals. This paper aims to explore the impacts of land transfer, farmers' subjective well-being, and participation in AESs in environmentally fragile areas of China by using data of 6840 sampled farmers obtained from China Family Panel Studies (CFPS). A relatively novel approach of ordinary least square (OLS), the ordered probit model approach, and the mediation effect model is used to assess the association between the land transfer mechanism, subjective well-being, and participation in AESs. The model outcomes indicate that land transfer has a considerable influence on AES involvement and that it can boost farmers' subjective well-being. The findings of our study also indicate that the marginal effect of land transfer on the subjective well-being of nonpoor households is greater than that of poor households, and the impact degree of land transfer on the subjective well-being of farmers reveals a weakening trend from east to west regions. Local conditions should be taken as guidance to effectively coordinate the regional resource allocation.

Threshold effects and supply-demand ratios should be considered in the mechanisms driving ecosystem services

Understanding the spatial associations of ecosystem services (ESs) driven by socio-ecological factors is essential for regional ecosystem management and effective resource allocation. Yet previous studies of mechanisms driving ESs have focused mainly on the supply or demand for ESs, rarely consider their threshold effects and supply–demand ratios. Taking the upper reach of Ganjiang watershed (URGW) in southern China as an example, the supply, demand, and supply–demand ratio of ESs (ESDRs) were quantified for grain production (GP), water yield (WY), soil retention (SR), carbon sequestration (CS), and green space recreation (GR). Correlation analysis and random forest models were used to investigate the spatial associations of five ESDRs and the relative importance and marginal effects of 9 socio-ecological factors upon them. At the watershed scale, only SR incurred a supply–demand deficit (ESDR < 0), while the other four ESs (GP, WY, CS, and GR) met the internal demand (ESDR > 0). When considered across 188 sub-watersheds, all ESs had different supply–demand deficits. The trade-offs in ESDRs mainly derived from two ESs (GP, SR) and the other three ESs (WY, CS, GR). The supply–demand ratio of SR was mainly determined by topography (i.e., slope gradient), while land use (i.e., proportions of cropland and forest land areas) played a decisive role in the supply–demand ratios of GP and WY. The supply–demand ratios of GR and CS showed similar spatial distribution, driven mainly by the normalized difference vegetation index and human population density. Specific socio-ecological factors (e.g., slope gradient and proportion of forest land area) had significant threshold effects on the ESDRs. Accordingly, research on the mechanisms driving ESs should consider ESs’ supply and demand in tandem, and pay particular attention to the potential threshold effects of socio-ecological factors.

How does domestic market fragmentation affect enterprise innovation performance? Empirical evidence from China

PurposeThis paper aims to explore the impact of domestic market fragmentation on the innovation performance of enterprises and its mechanism from the perspective of market segmentation, a government behavior with Chinese characteristics.Design/methodology/approachIn order to verify the theoretical hypothesis proposed in the previous article, that is, whether domestic market fragmentation can effectively improve the innovation performance of enterprises, this paper bases on the data of listed companies from 2010 to 2016, empirically testing the theoretical hypothesis by constructing a measurement model.FindingsDomestic market fragmentation has a significant inhibitory effect on enterprise innovation performance. Domestic market fragmentation has heterogeneous effects on innovation performance of enterprises and regions. It is undeniable that domestic market fragmentation does have a certain support effect on state-owned enterprises but the support effect is achieved by distorting regional resource allocation and creating an unfair market environment.Originality/valueFirstly, this paper explores the impact mechanism of domestic market fragmentation on corporate innovation performance from the perspective of market segmentation, a government behavior with Chinese characteristics, so as to expand and enrich the relevant research on enterprise innovation. Secondly, from the perspective of corporate innovation performance, this paper provides new evidence for the “curse effect” of domestic market fragmentation. Thirdly, this paper tries to shake the domestic market fragmentation support theory from the perspective of distortion effect brought by the “hand of support” of domestic market fragmentation.

Equilibrium or imbalance? Regional variations and evolutionary traits of two-way FDI coordination level in Yangtze River economic belt

Based on the VAR model, the two-way FDI data of the Yangtze River Economic Zone from 2005 to 2019 were used as the specimen. The correlation of the two-way FDI was observed using the VAR impulse effect through ADF root test and lag structure laboratory testing. The original study results demonstrated that there have been disparities in the spatial and temporal evolution of FDI and OFDI coordination levels between the eastern, central, and western city groups in the Yangtze River Economic Belt region from 2005 to 2019. The unequal expansion of FDI and OFDI is the phenomena that results in the gap between eastern and western cities. The development of the coupling coordination level between the east and west areas has been unequal due to variances in the natural environment, trade value, corporate expansion, and other variables. Contrarily, the Yangtze River Economic Belt’s western urban agglomerations have a lower level of coupling and coordination development than the region’s eastern urban agglomerations, with an overall declining phenomena from east to west. The coupling and coordinated development of two-way FDI within the economic belt, which has a significant impact on the rationalization of regional resource allocation, industrial structure optimization, and technology iteration with civilization construction, can be greatly facilitated, in our opinion, by strengthening uncoordinated regional development infrastructure and deepening regional economic-industrial links.

Police resource distribution in China: spatial decision making based on PGIS-MCDA method

PurposeBased on the theoretical viewpoints of criminal geography and environmental criminology, this research uses spatial multi-criteria decision-making methods. In the process of spatial decision-making and optimization of police resources, researchers fully consider the dynamic application of Geographic Information System (GIS) and the effects of spatial prevention and control.Design/methodology/approachResearchers use an integrated method combining Policing Geographic Information System (PGIS) and multi-criteria decision analysis (MCDA). On the one hand, police GIS has an excellent visual data analysis platform and integrated decision support system in data management, spatial analysis, data exploration and regression analysis. On the other hand, through the design of the indicator system, the quantification of indicators, the determination of weights, comprehensive evaluation and sensitivity analysis, MCDA can select the best plan from a large number of alternatives. When joining MCDA, the spatial dimension will bring the research results closer to the real world.FindingsThe study finds that the crime of burglary is affected to a certain extent by the distribution of police forces, the location of police units. Another important finding of this research is the correlation between more precise preventive measures and the crime of burglary.Originality/valueFrom a practical point of view, this research would help advance the role of police units and law enforcement agencies in preventing burglary crimes and provide experience for the allocation of regional police resources.

Spatial Difference of China's Regional Logistics Development and Construction of Information Network Platform Based on Artificial Intelligence Technology Under the Background of New Economy.

Regional logistics is an important part of the regional economy. It plays an important role in optimizing the allocation of regional resources, promoting the upgrading of regional industrial structure, and promoting the sustainable development of regional economy. It is known as the “accelerator” of regional economic growth. Under the background of the expanding regional economic differences in China, this article focuses on the important components of regional economy, researching on regional logistics in different regions. This article focuses on the regional logistics development level, the internal mechanism of regional logistics promoting regional economic growth, the current situation and influencing factors of regional logistics development level differences, and the regional logistics development level differences. The purpose of this article is to study the application of artificial intelligence technology to the spatial difference analysis of China’s regional logistics development and the construction of information network platform under the background of the new economy. In this article, factor analysis is used to construct the index system. The research shows that the intensity of regional logistics connection is significantly enhanced, the regional logistics network is further improved, and a relatively complete multilevel regional logistics network structure is basically formed. In addition, there are great differences in the level of logistics development among regions. The characteristics of the spatial distribution circle in the eastern, central, and western regions are obvious, which is positively related to the economic development, in the Pearl River Delta with the strongest comprehensive competitiveness. The score coefficient of the Yangtze River Delta logistics area is 1.464, and the score coefficient of the northwest logistics weakest area is −0.328. The development of regional logistics can focus on the construction of logistics park, the construction of logistics network system, the progress of regional logistics technology, and the improvement of logistics efficiency. The construction of logistics park is conducive to the integration of regional logistics resources, improves the utilization efficiency of regional logistics resources, forms the economies of scale, and then reduces the transaction cost of the whole region.

A novel bi-level programming model for structure sustainability optimization of passenger transport corridor

The transportation industry has entered a new stage from quantity expanding to structure optimization, quality and efficiency improvement, and from respective governance to integrative development. This indicates that the traditional corridor mode allocation dominated by quantity equilibrium can no longer meet the requirements of the new stage. In this paper, we propose a multi-entity programming model based on the economic equilibrium between supply and demand. It not only ensures the economic equilibrium in the market, but also maximizes the social benefits of the whole system, thereby realizing the sustainable development of the transportation system. Also, the Globalsearch algorithm and intlinprog algorithm are designed to solve the problem. The actual case of Beijing-Shanghai corridor shows that the model and algorithms are effective, providing decision support for the optimal allocation of regional transport network resources.

Regional Information Management of Higher Education Based on Network Security and Grey Relational Analysis

The optimal allocation of higher education resources is related to the growth of the regional economy and the development of innovation ability. Therefore, it is essential to deal with the relationship between quality, scale, efficiency, and fairness in the process of regional educational resource allocation. This study uses a method that combines empirical and normative analysis to classify and integrate regional educational data using the grey relational method and to improve the status quo of regional educational resource distribution. The infrastructure and resource-sharing mode of a regional university information resource grid database is designed in combination with the network security method. Various performance indicators are used to evaluate the quality of resource sharing. The assessment of resources sharing using performance indicators can enhance the initiative and enthusiasm of resource sharing among colleges and universities in the region. The feasibility of the scheme is verified through the educational information integration test, which can effectively promote the regional development of higher education and improve the quality of educational services.

Factors Influencing Green Entrepreneurship of Returning Migrant Workers under the Dual-Carbon Background

China’s rural energy consumption structure has dominated by coal, and carbon dioxide emissions are relatively large. Under the dual historical responsibilities of the carbon peak, the carbon neutral dual-carbon, and the rural revitalization strategy, the rural energy transition is imminent. This paper conducts an in-depth study on the green entrepreneurship of migrant workers returning to their hometowns and carefully analyzes the factors affecting the return of migrant workers to green entrepreneurship. This paper establishes a regression model to clarify that the green entrepreneurial guidance mechanism can effectively increase entrepreneurial opportunities, promote the rational allocation of regional resources, increase the success rate of entrepreneurship, and promote the construction of new rural areas in China with proper healthcare. The implementation of the scientific guidance mechanism for migrant workers’ green entrepreneurship should adhere to the scientific development concept, correctly guide farmers to return to their hometowns to start businesses, and provide them with a green channel for fiscal taxation. Green entrepreneurship can improve the entrepreneurial ability of migrant workers in order to effectively increase the success rate of migrant workers in entrepreneurship, ensure the rational use of regional resources, and promote the harmonious and stable development of society.

Assessment and Spatial-Temporal Evolution Analysis of Land Use Conflict within Urban Spatial Zoning: Case of the Su-Xi-Chang Region

As China rapidly urbanizes, land resources tend to deplete. This paper aims to identify and propose a resolution of land use conflicts to promote sustainable land use and coordinate the interaction between humans and the environment in urban areas. The methodology of land use conflict assessment within spatial zoning of the Su–Xi–Chang region was evaluated. Taking into consideration the intensity of human activities and the background condition of the natural environment, we divided the study area into a few regions. Furthermore, we developed a methodology by calculating landscape complexity, fragility, and stability based on spatial zoning so as to derive the spatio-temporal characteristics of the land use conflict index (LUCI) in the Su–Xi–Chang region. The results indicate the following: (1) According to the urban spatial attribute index (USAI) statistics, we delineate the core, fringe, and suburban zones of the Su–Xi–Chang region, which accounted for 9.61%, 11.06%, and 79.33% of urban agglomerations respectively; (2) from 1990 to 2018, the fragility index (FI) and LUCI showed S-shaped curves, while the complexity (CI) and the stability indices (SI) exhibited minor fluctuations in the fringe and suburb zones; and (3) intensive and severe conflict is concentrated in core areas due to quite intense human activities and in fringe areas due to an increased interaction between humans and land, while moderate conflict is mainly found in rural and suburban areas that pose as a natural environmental space. The results can serve as a theoretical framework for an effective identification of the LUCI in an urban agglomeration and coordination of the optimal allocation of regional land resources.

Analysis of regional differences in government funding performance in higher education – A case study of China

In recent years, although the total funding for higher education by the Chinese government has been increasing year by year, there are still some problems, such as the unreasonable allocation of regional resources and poor funding efficiency. Therefore, it is necessary to evaluate the performance management and analyze government funding in higher education (GFHE). Based on the data envelopment analysis (DEA) model, this paper evaluates the performance of GFHE in 29 provinces in eastern, central, and western areas of China. An empirical analysis is conducted on the influencing factors using the panel Tobit regression model. The results show that from 2008 to 2020, GFHE performance in China is generally high, but offers a “W-shaped” fluctuation rising state. There are significant differences in the performance of different areas, and the scale level of GFHE in the three areas is not wholly consistent with the performance level. In further studies, the performance level of the 29 provinces is divided into three degrees, which are distributed in all three areas. The study also found that the influencing factors of GFHE performance in central, eastern, and western China are also different, and analyzed the positive and negative effects of influencing factors in each area. Finally, the study tests the theoretical hypothesis, and the results are robust.

Evaluation of urban and rural population flow and spatial planning effect under the background of big data

In order to improve the effect of urban and rural regional spatial planning and resource allocation, we need to focus on the factor of urban and rural population flow. Therefore, this paper evaluates the effect of urban and rural population mobility and spatial planning under the background of big data. Based on the evaluation of the effect of urban-rural population migration, according to the evaluation principle of the effect of urban-rural population migration after the reform and opening up, the evaluation index system is constructed, the dimensionless processing of the evaluation index system is carried out, the evaluation index weight is calculated, and the evaluation index is quantified, so as to complete the effect evaluation of spatial planning. Finally, taking Tianjin as an example, the application effect of this design method is verified.

Збалансований розвиток інфраструктури регіону

The article is concerned with a study of problems and directions of development of the infrastructure of the regions. Based on the generalization of theoretical developments on regional policy issues, the features of a balanced development of the region’s infrastructure have been determined. The definitions of the terms «sustainable development», «infrastructure», «regional infrastructure» are presented. Ensuring the integrated development of the infrastructure of the territories and improving the living conditions of the population is the main goal of improving the economic mechanism for managing the development of the region. The main functions of the conception of improving the quality of life of the population are determined: it has been identified what essential functions determine the place of regional infrastructure in the system of market relations. The study indicates that the balanced development of the region’s infrastructure should be aimed at ensuring domestic and foreign economic relations of the region. It is defined that the effect of an innovation-oriented strategy for balanced development of the region’s infrastructure depends on the optimal spatial and targeted allocation of regional resources, the level of their concentration in a certain territory, as well as on the content of the innovation activity per se. The article also points out that the economic essence of regional infrastructure is the savings that are obtained through the concentration of auxiliary production during the construction period and during the operation of the main production enterprises. It is also determined that regional infrastructure is of particular importance for encouraging small and medium-sized businesses. As result of the study, it is established that the effect of an innovation-oriented strategy for balanced development of the region’s infrastructure depends on the optimal spatial and targeted allocation of regional resources, the level of their concentration in a certain territory, as well as on the content of the innovation activity per se.

Assessing Efficiency of Urban Land Utilisation under Environmental Constraints in Yangtze River Delta, China.

Measuring the efficiency of construction land utilisation is important for optimising the allocation of regional resources and guiding the sustainable development of the regional society and economy. Based on municipal panel data on urban land use from 2009 to 2017 from a municipal perspective, this research built a slacks-based measure of a super-efficiency model (SE-SBM) to evaluate the temporal and spatial differentiation characteristics of the construction land-use efficiency of 41 cities in the Yangtze River Delta. Following this, the driving force of construction land efficiency was calculated using the Malmquist–Luenberger index. Finally, the entropy-weight TOPSIS (technique for order preference by similarity to ideal solution) model and the k-means clustering method were applied to evaluate an input–output model of the cities. The main conclusions are as follows: (1) The construction land efficiency of the Yangtze River Delta remains at a low level and presents a spatial differentiation pattern, with the efficiency being higher in the east and lower in the west. Due to undesired outputs, the mean value has dropped by 4.67%, and the regional imbalance has decreased. (2) The degree of efficiency loss is significantly positively correlated with the intensity of urban pollution emissions—the higher the pollution emissions, the greater the efficiency loss. (3) The total factor productivity of urban construction land is mainly driven by technological progress, while the promotion of technical efficiency is low and unstable. (4) The evaluation of construction land efficiency must include resource allocation or pollution emission factors to scientifically measure the input–output level. These research results will help to formulate reasonable land-use countermeasures.

Efficiency Evaluation and Driving Factors of Regional Financial Resource Allocation: A Case Study of Guangdong Province

Evaluating the efficiency of regional financial resources allocation scientifically plays an important role in promoting the healthy development of financial industry and driving regional economic growth. In this paper, the panel data of cities in Guangdong Province from 2010 to 2017 are used to measure the financial resource allocation efficiency of cities in Guangdong from static and dynamic levels by first applying DEA model and Malmquist indicator, and then constructing a Tobit regression model to explore the driving factors of financial allocation efficiency. The results show that the efficiency of financial resource allocation in Guangdong Province is generally on the rise, but the overall efficiency is not effective, with the wide gap between cities, unbalanced regional development and the highest efficiency of financial resource allocation in the Pearl River Delta region. Regional industrial structure, local financial intervention, degree of opening to the outside world and regional business environment all have significant positive effects on the efficiency of financial resource allocation. The conclusion can provide corresponding enlightenment for the rational allocation of financial resources in provinces and cities.

Fine-Scale Population Estimation Based on Building Classifications: A Case Study in Wuhan

In the context of rapid urbanization, the refined management of cities is facing higher requirements. In improving urban population management levels and the scientific allocation of resources, fine-scale population data plays an increasingly important role. The current population estimation studies mainly focus on low spatial resolution, such as city-scale and county scale, without considering differences in population distributions within cities. This paper mines and defines the spatial correlations of multi-source data, including urban building data, point of interest (POI) data, census data, and administrative division data. With populations mainly distributed in residential buildings, a population estimation model at a subdistrict scale is established based on building classifications. Composed of spatial information and attribute information, POI data are spaced irregularly. Based on this characteristic, the text classification method, frequency-inverse document frequency (TF-IDF), is applied to obtain functional classifications of buildings. Then we screen out residential buildings, and quantify characteristic variables in subdistricts, including perimeter, area, and total number of floors in residential buildings. To assess the validity of the variables, the random forest method is selected for variable screening and correlation analysis, because this method has clear advantages when dealing with unbalanced data. Under the assumption of linearity, multiple regression analysis is conducted, to obtain a linear model of the number of buildings, their geometric characteristics, and the population in each administrative division. Experiments showed that the urban fine-scale population estimation model established in this study can estimate the population at a subdistrict scale with high accuracy. This method improves the precision and automation of urban population estimation. It allows the accurate estimation of the population at a subdistrict scale, thereby providing important data to support the overall planning of regional energy resource allocation, economic development, social governance, and environmental protection.

Evaluation of Teacher Allocation in Regional Compulsory Education Industry Based on K-means clustering and GIS Spatial analysis: A Case Study of teacher-student ratio

The allocation of teacher resources can reflect the situation of regional education disequilibrium. It is an important research content to effectively evaluate the differences of regional teacher resource allocation and reveal the characteristics of spatial location. Take teacher-student ratio of compulsory education of five adjacent cities in China as an example, this paper focus on difference analysis and balanced evaluation of teacher resource allocation. Combined with geographical location, Differentiation coefficient, K-means clustering and GIS hot spot analysis methods are used to carry out the classification of teacher resource allocation and the spatial aggregation model of cold and hot spots. The results show that: there is an imbalance between different cities, as well as between districts and counties in same city.The results of K-means clustering and GIS hot spot analysis also show that regional teacher resource allocation has the characteristics of numerical classification and spatial aggregation. The k-means algorithm can aggregate the teacher-student ratio of 30 districts into three categories, revealing the category characteristics of teacher allocation. The results of GIS hotspots show that there are high value aggregation and low value aggregation in teacher configuration. The methods and research results of this paperprovide newresearch ideas for resource balance evaluation and spatial pattern analysis of education industry.

Research on the Allocation Efficiency and Influencing Factors of Scientific and Technological Resources in the Yangtze River Delta City Group

Through the establishment of a comprehensive evaluation index system, this paper analyzes the allocation of science and technology resources in the Yangtze River Delta urban agglomeration from 2014 to 2020, evaluates the allocation efficiency of science and technology resources from the perspective of multi input and output, and understands the advantages and disadvantages of regional resource allocation. The research results show that: (1) under the guidance of the national strategic policy of actively promoting the development of world-class urban agglomerations, the allocation efficiency of science and technology resources in various provinces and cities of the Yangtze River Delta continues to optimize, and the allocation level of some regions shows a rapid development trend; (2) R&amp;D personnel and R&amp;D funds are the core factors that affect the efficiency of science and technology resource allocation; (3) the marketization of resource allocation is helpful to improve its allocation efficiency; and (4) improving the transformation rate of scientific and technological achievements, opening up the channel for innovative products, technologies, and services to enter the market, and enabling innovative enterprises to make profits can provide strong and lasting incentives for the improvement of scientific and technological resource allocation efficiency. Based on the research conclusions, this paper puts forward countermeasures and suggestions to improve the allocation efficiency of scientific and technological resources in the Yangtze River Delta urban agglomeration from the aspects of human resources and material resources, and provides a theoretical reference for the coordinated and sustainable development of the Yangtze River Delta City Group under the background of the implementation of the urban agglomeration strategy and the construction of a scientific and technological infrastructure platform.