Sustainable Development Of Regional Economy Research Articles

An Empirical Study on the Digital Economy, Fiscal Policy, and Regional Sustainable Development—Based on Data from Less Developed Regions in China

Reducing inequality within and between countries and enhancing social welfare are important components of the United Nations’ sustainable development goals. Based on the experience of developed countries or regions, the digital economy and fiscal policy are effective ways of promoting inclusive regional economic growth. Fully considering the completeness and availability of the data, we select the data of China’s less developed regions from 2001 to 2011 for empirical testing. This study empirically examined the effect of the digital economy on regional sustainable development and the underlying mechanism, taking an analysis of the regulatory effect of fiscal policy into account. The results show the following: (1) The digital economy and regional sustainable development exhibit an inverted “U” curve relationship. In the early stage of development, relying on its own economies of scale, the digital economy releases the “digital dividend”, positively affecting the sustainable development of the regional economy; in the later stage, the “digital divide” has a positive impact on the development of the regional economy. The inhibitory effect of the “digital divide” is greater than the enhancement effect of the “digital dividend”, negatively affecting the sustainable development of regional economies. (2) There is regional heterogeneity in the mechanism of the effect of the digital economy on regional sustainable development. The digital economy affects the level of regional sustainable development through the two paths of “comprehensive prosperity” and “holistic well-being”. For the samples in the eastern and western regions, the digital economy plays the role of promoting and then inhibiting, while for the samples in the central region, it plays the role of inhibiting and then promoting. (3) Fiscal policy negatively regulates the effect of the digital economy on regional sustainable development, but the regulatory effect is not significant.

Transportation of Liquefied Natural Gas (LNG) via Long-Distance Low-Temperature Pipeline and Cascade Utilization of Cold Energy

In addition to methane, liquefied natural gas (LNG) typically contains valuable light hydrocarbons such as ethane, propane, and butane. Establishing LNG receiving stations for imported LNG can effectively alleviate regional energy supply-demand conflicts, optimize energy consumption structures, promote sustainable regional economic development, and improve ecological environments. The technology for long-distance low-temperature pipeline transportation of LNG facilitates the efficient transfer and cascading utilization of the cold energy contained in LNG, allowing for deep coupling with cold networks and natural gas pipelines, thereby promoting the integrated development of LNG, cold energy, and natural gas transportation. This paper systematically summarizes the current status of LNG long-distance low-temperature pipeline transportation technology, cold energy cascading utilization technology, pipeline regulation technology, and multi-network integration technology. It analyzes the key challenges these technologies face under new strategies and looks ahead to future development trends, aiming to provide scientific insights and directions for the application of LNG long-distance low-temperature transportation and multi-network integration in China.

Involving certain socio-demographic groups of the population in active entrepreneurship as a factor of sustainable regional economies

The article examines priority groups of the population (socially vulnerable, women entrepreneurs, young and social entrepreneurs) engaged in entrepreneurial activities, including through the conclusion of a social contract, as a factor of the sustainability of regional economies. The article is aimed at analysing the regional structure of these population groups and their support in individual subjects. The methodology of the study is based on the use of general scientific methods (analysis, synthesis, comparison). The main results of the work have showed that supporting participation of the above-mentioned groups socially integrates them, stimulating economic growth, regional and national development. In addition, it increases the level of economic competitiveness, expands entrepreneurial opportunities, and creates a favourable climate for the successful functioning of market entities. The scope of application of the results obtained during the study is based on the possibility of using them while developing mechanisms for increasing the involvement of the considered priority population groups in order to achieve a given level of sustainability of regional economies, which also determines the prospects for further research on this problem. The dependence of the level of sustainable development of regional economies and their competitiveness on the level of involvement of these groups in entrepreneurship has been established.

Optimization of composite ecological network patterns in Anhui Province based on multi-functional coupling of ecology-climate-economy

Amidst global climate warming and rapid urbanization, ecological and environmental issues are becoming increasingly prominent. Constructing a multi-functional coupled ecological network pattern is essential for promoting the synergy among ecological protection, climate regulation, and economic development. This study focuses on Anhui Province, characterized by diverse topographical features. Utilizing “source and sink” theory, the study employs a combination of Morphological Spatial Pattern Analysis (MSPA), landscape connectivity indices, local spatial autocorrelation, and circuit theory to construct single-factor networks for biodiversity conservation, thermal environment mitigation, and economic development. The analysis of spatial elements such as “source” areas, corridors, ecological strategic points, and ecological nodes led to the formation of an optimized multi-level, multi-functional composite ecological network pattern based on ecology, climate, and economy. The results indicate that: (1) Anhui Province has 14 ecological “source” landscapes and 31 ecological “sink” landscapes. There are 29 climate “source” landscapes and 21 climate “sink” landscapes. Additionally, there are 30 economic “source” landscapes and 22 economic “sink” landscapes. The biological migration corridors are primarily concentrated in Northern and Central Anhui Province, while climate corridors are distributed throughout the province. Economic corridors are relatively dense and dispersed across various cities in Anhui Province, showing a trend of expansion in all directions; (2) In the multi-level “source and sink” landscape network, the total length of economic corridors surpasses climate corridors, which in turn surpass biological migration corridors. In terms of total area, climate corridors exceed biological migration corridors, which surpass economic corridors. The optimal widths for first class and secondary corridors are outlined as follows: biological migration corridors at 1000 m and 6000 m, climate corridors at 2000 m and 6000 m, and economic corridors at 1000 m and 2000 m; (3) Overlaying the multi-objective corridors identified 228 ecological key points and 501 disturbance points. Approximately 7.52 % of the area in economic “source” locations should be allocated to ecological and climate corridors. (4) The proposed multi-functional composite ecological network optimization scheme identifies critical areas for the restoration of the multi-functional composite network. The lengths of the main corridors for biological migration, climate, and economy are 2130.20 km, 2606.14 km, and 1134.63 km respectively. The total area for core and critical restoration zones is 1166.42 km2 for ecology, 2999.95 km2 for climate, and 2902.11 km2 for economy. Constructing a multi-functional composite ecological network can effectively enhance regional ecosystem services, alleviate urban heat island effects, and promote sustainable regional economic development. This study addresses existing gaps in ecological network research and provides scientific basis and technical support for the coordinated optimization of ecological protection, climate regulation, and economic development in Anhui Province and globally.

Research on the Driving Effect of Smart City Construction on Regional Economic Development

As a new model of modern urban development, smart cities are promoting the sustainable development of regional economies through the deep integration of information technology and urban construction. This study, titled "Research on the Driving Effect of Smart City Construction on Regional Economic Development," systematically analyzes the theoretical foundation, current implementation status, and impact mechanisms of smart city construction on regional economic development. By comparing successful cases domestically and internationally, the study reveals the specific effects of smart city construction on optimizing resource allocation, upgrading industrial structures, and driving innovation. Using econometric models to analyze empirical data on smart city construction, the results indicate that smart city construction significantly promotes the coordinated development and competitiveness of regional economies. The study concludes with policy recommendations to further smart city construction and regional economic development, including strengthening government guidance, promoting corporate innovation, and optimizing public services, providing scientific guidance and references for smart city construction. The findings not only enrich the theoretical research in the fields of smart city and regional economic development but also offer valuable insights for practical policy-making.

Optimizing Accounting for Data Assets Helpful To Developing Sustainable Regional Economies

This paper aims to develop accounting methods for data assets helpful to developing sustainable regional economic development within the digital economy. By considering data-asset characteristics such as virtuality and sharing, it proposes accounting treatments and processes for data-asset evaluation and management. Through a case study of Guangdong Power Grid Co., Ltd., the optimized method is evaluated. Results show a 70% increase in data-asset valuation compared to intangible assets, with a 17.8% growth in total profits. The method reduces asset-management costs by 3.67% and amortization by CN¥98,600. These findings highlight the importance of optimizing accounting methods for data assets able to foster sustainable regional economic development in the digital-economy era.

Research on the impact of colleges’ English education on regional economic development: A case study of Shanghai and Jiangsu province

In the era of globalization of the knowledge economy and significant global population mobility, language serves not only as a tool for acquiring and exchanging information but also as a bridge and conduit for the dissemination and promotion of technology, culture, and knowledge on a global scale. Language can serve as both a tool to acquire other knowledge and skills, forming human capital, and can also be directly used to serve society, bringing about relative economic benefits to both the nation and individuals. The world language, English, with its unique advantages of spanning regions and borders, widely disseminates various technological, cultural, and economic information. With the increasing integration of the global economy and the development of regional economies in China, there is a growing and strong interactive relationship and interdependence between college English education and regional economic development. This paper selects relevant data from Shanghai and Jiangsu Province over the past decade and, through correlation analysis and regression analysis, establishes a significant correlation between colleges English teaching and regional economic development. It proves that college English teaching has become an important factor in promoting sustainable regional economic development. Based on this conclusion, it proposes the concept that colleges of English teaching and regional economic development should support and promote each other, achieving harmonious development and mutual progress.

Coupling and Coordinated Development of Carbon Emission Efficiency in Industrial Enterprises and the Digital Economy: Empirical Evidence from Anhui, China

To delve into the interrelationship between the green transformation of industry and the economy’s high-quality development, to promote the coordinated development of industrial carbon emission efficiency and digital economy, to expand the scope and research ideas related to economic and social sustainable development, and to provide scientific reference for the low-carbon sustainable development of regional economy, this article introduced a data-centric methodology for evaluating the collaborative advancement of both industrial enterprises’ carbon emission efficiency and the digital economy. To accurately gauge the carbon footprint of industrial enterprises, models focusing on carbon emissions as well as carbon emission intensity were employed. To enhance the precision of evaluation outcomes and mitigate biases stemming from subjective weighting factors, we employed the entropy weight method to objectively assign weights to each indicator. Furthermore, the super-efficient slack-based model (SBM) can solve the problem that the conclusions are biased, due to the different radial. Subsequently, a carbon-emission efficiency slack-based measure model, and models for coupling degree and coupling-coordination degree were formulated. Anhui, as a central province in China, is also an important province in the Yangtze River Delta integration development. Coordinated development of its carbon emission efficiency and digital economy has important implications for the sustainable economy advancements of other regions in China, and even other countries or regions in the world. Therefore, Anhui was selected to be the empirical research sample. The results showed that the comprehensive levels of these two systems followed an increasing trend, while the digital economy lagged. Their coupling degree fluctuated and reached its highest point in 2021, whereas their coupling-coordination degree increased, showing high coupling and low coordination overall. This study proposes specific countermeasures and suggestions for the relevant decision-makers.

Comprehensive Evaluation of the Development Level of China’s Characteristic Towns under the Perspective of an Urban–Rural Integration Development Strategy

With the advancement of urbanization and the continuous deepening of reforms in urban–rural systems, China’s urbanization process has entered a new era of integrated urban–rural integration. Currently, as a global “new green revolution” gains momentum, numerous countries are deeply integrating the concept of sustainable development into new urban planning. Against this backdrop, urban planners worldwide are committed to building green, livable, and smart cities that can meet the needs of the present generation without compromising the ability of future generations to meet their needs, thus achieving the vision of harmonious coexistence between humanity and nature. Characteristic towns, leveraging their resource advantages, play a significant role in achieving sustainable regional economic development. They serve as valuable references for China’s urban transformation and upgrading, as well as for promoting rural urbanization, and are crucial avenues for advancing China’s urban–rural integration development strategy. The evaluation of the development level of characteristic towns is a necessary step in their progress and a strong guarantee for promoting their construction and development. Therefore, effectively evaluating the social benefits of characteristic towns is paramount. This study constructs an evaluation model based on the grey rough set theory and Technique for Order Preference by Similarity to Ideal Solution of TOPSIS. Firstly, an evaluation index system for the development level of characteristic towns is established. Then, the grey relational analysis method and rough set theory are used to reduce the index attributes, while the conditional information entropy theory is introduced to determine the weights of the reduced indicators. Finally, the TOPSIS model is applied to evaluate the development level of characteristic towns. Through empirical research, eight characteristic towns in Zhejiang Province, China, were assessed and ranked, verifying the effectiveness and feasibility of the proposed model.

Theoretical Analysis of Trade and Circulation Statistics in Regional Development

This paper aims to explore the theoretical analysis of commercial circulation statistics in regional development, emphasizing its crucial role in promoting the optimization of regional economic structure and enhancing competitiveness. The study employs methods of literature review and theoretical construction to systematically sort out the basic concepts, functions, and applications of commercial circulation statistics in regional development. Firstly, the paper defines the scope of commercial circulation statistics, including the statistical indicator systems for commodity circulation, service circulation, and information circulation. Secondly, it analyzes the impact mechanisms of commercial circulation statistics on regional economic development, such as optimizing resource allocation, promoting industrial upgrading, and enhancing market transparency. The paper further constructs a theoretical framework for the interaction between commercial circulation statistics and regional development, exploring the applications of commercial statistical data in decision support, industrial guidance, and market monitoring. Finally, the paper concludes that commercial circulation statistics are not only an important tool for measuring regional economic vitality but also a key factor in promoting the sustainable development of regional economies. By enhancing the accuracy and timeliness of commercial circulation statistics, it can effectively support the formulation and implementation of regional development strategies, promoting balanced and coordinated economic development.

Land-Use Transitions Impact the Ecosystem Services Value in a Coastal Region by Coupling the Geo-Informatic Tupu and Benefit-Transfer Method: The Case of Ningde City, China

Exploring the mechanisms and processes of land-use transitions (LUTs) and their impact on ecosystem services can effectively elucidate the intricate interactions between human and natural systems, which is pivotal for advancing the sustainable development of regional economies and enhancing ecological environments. However, the existing literature lacks comprehensive analysis regarding the spatial and temporal evolution of LUTs, with insufficient integration of the “spatial pattern” and “time process”. Moreover, traditional assessments of the ecosystem services value (ESV) often overlook their negative costs. To address these gaps, this study first utilized the Google Earth Engine (GEE) cloud platform and employed the random forest algorithm to conduct supervised classification on Landsat remote-sensing images from the years 2000, 2010, and 2020 within the research area, thereby obtaining land-use data for three distinct periods. And then, we investigated the geographic features of LUTs and their ecological effects in the Ningde City of China from 2000 to 2020. The geo-informatic Tupu model and a newly revised method of benefit transfer were primarily employed for this purpose. The findings indicate the following: (1) Over the study period, the land-use structure of Ningde City predominantly comprised cultivated land and forest land, with continuous decreases in both types and a concurrent increase in built-up land. (2) Significant disparities exist in the spatial distribution of Tupu units, notably with “forest land → cultivated land” and “cultivated land → built-up land” as crucial units influencing ESV changes. (3) The ESV in Ningde City decreased from CNY 1105.54 × 108 to CNY 1020.47 × 108 over 2000–2020, while the ecosystem dis-services value exhibited an opposing trend, rising from CNY 12.68 × 108 to CNY 20.39 × 108. (4) The net ESV in Ningde City showed a decline over the same period, indicating a certain vulnerability in the city’s ecological system structure. This study aims to enhance our understanding of the influence of land-use patterns on ESV, offering valuable insights for regional ecological–environment management and land-use policy formulation, thereby fostering sustainable development in ecological, environmental, and socio-economic dimensions. Furthermore, the results serve as a reference for evaluating net ecosystem services value in other countries/regions.

Analysis of the coordinated evolution and driving mechanism of the coupling of tourism economy and urbanization in Southwest China

ABSTRACT The coordinated development of the tourism economy and urbanization is one of the hot issues in the practice and research of regional development. Exploring the complex dynamic relationship between the two can promote new urbanization construction and sustainable regional economic development. This paper uses the coupled coordination degree (CCD) model and exploratory spatial data analysis (ESDA) model to study the spatiotemporal evolution characteristics and driving mechanisms of the coordinated development of Southwest China’s tourism industry and urbanization. The results show that from 2010 to 2020, the comprehensive level of tourism economic development is in an inverted ‘V’ shape, while the complete level of urbanization is on a continuous upward trend. The spatial difference for CCD between the tourism economy and urbanization is remarkable, offering a spatial pattern of the highest in the middle, the second in the east, and the lowest in the west. In addition, the urbanization rate, population density, per capita fiscal revenue, and per capita park green land have significant negative spatial effects on CCD. Per capita budgetary revenue has a positive spatial effect on CCD with a time lag. This study provides a decision-making reference for promoting tourism development and urbanization in southwest regions.

Study on the trade-off/synergy between ecosystem services and human well-being based on land use in Weinan City, China.

Change of land use have important impacts on ecosystem services (ESs) and human well-being (HWB), yet the trade-off/synergy among land use, ESs, and HWB has still not received sufficient attention at city regional scales level. Weinan City in the southern of the Loess Plateau of China was taken as the study area. Based on ArcGIS, InVEST model, and RUSLE model, the characteristics of spatial and temporal variations of land use and ESs from 2000 to 2020 were analyzed, and the trade-off/synergy relationship between land use, ESs, and HWB was quantified using correlation analysis. The results indicated that the area of cultivated land decreased significantly and the area of built-up land increased significantly from 2000 to 2020 in Weinan City. The grain production, soil conservation, and water yield functions showed an increasing trend, which was a synergistic relationship with HWB. Carbon storage and habitat quality functions showed a decreasing trend, which was a trade-off relationship with HWB. The index value of HWB has increased significantly, mainly in the added value of agricultural and rural per capita income. Land use intensity has a trade-off relationship with GP, WY functions, and HWB. There are many factors that affect this trade-off/synergy relationship, such as land use patterns, economic development, and population growth. The study can provide a theoretical basis for the sustainable development of regional economy and nature.

Моделювання факторів соціально-економічного розвитку регіонів України та визначення ролі ІКТ

The aim of this article is to analyze and model the factors of socioeconomic development of the regions of Ukraine, taking into account the peculiarities of the influence of information and communication technologies (ICT). The article is directed towards identifying the relationship between various aspects of regional development and the introduction of ICT, as well as determining the role of these technologies in increasing the competitiveness and sustainable development of regional economies. One of the tasks is to reveal the importance of information technology for the effective management of regional development and to develop recommendations on strategies for improving the efficiency of the use of ICT in order to promote sustainable development of the regions of Ukraine. In order to determine the generalized factors of socioeconomic development of regions and to establish the impact of ICT on this development, a model of the main components has been built, which has allowed to transform the 16-dimensional feature space into a four-dimensional space of generalized factors that explain 88.7% of the variation of the features selected for analysis. This indicates a high level of factorization of the built model of principal components. The following generalized factors have been identified and ranked according to the degree of importance: 1) development of ICT and labor potential (impact: 39.9%); 2) the state of finance and investment (impact: 14.4%); 3) development of production (impact: 24.7%); 4) the results of the functioning of enterprises (impact: 9.6%). The computations were carried out using the «Statistica» application package, in particular the «Factor analysis» module. The use of the developed model made it possible to prevent subjectivism in determining the main factors of socioeconomic development of the regions of Ukraine. The carried out research allowed to substantiate the theoretical and methodological foundations of statistical modeling of factors of socioeconomic development of regions and to determine the role (impact) of ICT. The allocated factors can be taken as a basis for the formation of key directions and strategies for the development of regions, as well as for making effective managerial decisions in the field of ICT.

Human activities along southwest border of China: Findings based on DMSP/OLS Nighttime light data

Human activities along southwest border of China exert significant influences on sustainable development of regional economy, politics, and environment among countries Vietnam, Laos, and Myanmar. However, related empirical studies remain very limited due to the low availability and comparability of small-scale statistic data in that region. Fortunately, Nighttime light (NTL) images provide uniform, consistent and valuable data sources. Using NTL data from 1992 to 2013, this article seeks to contribute the literature by investigating the trend of relative intensity of human activities between China and her southwest neighborhoods. We find that the human activities intensity of Chinese borderland maintained advantage over her neighborhoods, and the trend of this advantage is nonlinear. Regional development policy launched by Chinese government is considered to be a possible explanation.

Did regional coordinated development policy mitigate carbon emissions? Evidence from the Beijing-Tianjin-Hebei region in China.

In order to promote the balanced development of regional economy, governments at all levels are constantly introducing regional coordinated development policy (hereinafter referred to as "the Policy"). However, there is an important and interesting issue, namely, with the increasingly severe environmental problems resulted from rapid regional economic growth, what kind of impact will the Policy have on carbon emissions reduction? This is attracting wide attention from relevant stakeholders. Therefore, taking the Beijing-Tianjin-Hebei (BTH) region in China for example and through constructing the difference-in-differences (DID) model, this paper evaluated the effect of the implementation of the Policy on carbon emissions reduction. Results indicated that the Policy significantly reduced the level of regional carbon emissions in the BTH region. After carrying out a series of robustness tests, this paper still found that the above conclusions were reliable. Moreover, the mediation effect test shown that the Policy indirectly lessened carbon emissions by optimizing energy structure and reducing the intensity of carbon emissions, while the expanding of economic scale would lead to an increase in carbon emissions due to the effect from the Policy. Additionally, heterogeneity analysis revealed that the Policy had a more significant effect on carbon emissions reduction in underdeveloped regions with low environmental constraints. Overall, this paper would be beneficial to understanding the environmental effects of the Policy at the urban regional scale, thus providing an important basic theoretical basis for promoting the green and sustainable development of regional economy.

Analyzing the indicators of sustainable development of the regional economy

Subject. Finding a balance of methods for collecting and analyzing information in the field of sustainable development is an important scientific and practical task for individual countries and for the world community. The regional aspect of this issue is no less relevant in the light of the need for each State to develop mechanisms to ensure a balance of technological development, environmental and social components. Objectives. The study aims to design a methodology for analyzing indicators of sustainable economic development, the degree of its balance based on the materials of the Republic of Kazakhstan and the Karaganda region. Methods. We employed general scientific methods of cognition. Results. Considering the Republic of Kazakhstan as a whole and the Karaganda region in particular, we can state the most successful development of the technological component. This indicates that new technologies and innovations are being actively introduced in the region, contributing to economic efficiency and competitiveness in the global market. The technological component development can contribute to improving the life of the population, increasing the level of education and competence of the workforce. However, sustainable development requires an integrated approach that includes technological, social, and environmental components. The study revealed that the lowest weight belongs to the ecological group of indicators in the integral indicator of sustainable development. Conclusions. To analyze the indicators of sustainable development of national and regional economies, we offer a methodological approach, consisting in consideration of management issues and identification of factors contributing to sustainable development and innovative entrepreneurship.

Assessment and Suggestions on Sustainable Development of Regional Ecological Economy Based on Emergy Theory: A Case Study of Henan Province

A rapid development in regional economy is often accompanied by an increase in energy consumption and the intensification of environmental pollution, which brings great pressure to the social economy and the natural environment. In order to solve the integrated problem of economic, social, and natural factors, we propose an evaluation method for the sustainable development of the regional economy, based on emergy. By analyzing the statistical data of Henan’s economic development from 2010 to 2018, an evaluation index system of regional eco-economic sustainable development was constructed based on four aspects: natural subsystem, economic subsystem, social subsystem, and sustainable development index. The index system was then used to measure and comprehensively evaluate the sustainable development of the ecological economy and the environmental friendliness of Henan Province. The assessment results showed that the emergy self-sufficiency rate decreased, indicating decreased self-sufficiency. Moreover, the environmental load rate was high, indicating high environmental pressure. The emergy currency rate declined with a rise in the emergy investment rate, indicating economic growth. Additionally, the population carrying capacity was consistently > 1, indicating that the population was overloaded. Collectively, the emergy-based evaluation method of regional economic sustainable development in this study provides a comprehensive and scientific evaluation framework, which can help decision makers and researchers better understand and evaluate the problems brought about by the rapid development of regional economy, and provide targeted decision making suggestions. It includes four sub-systems: natural, economic, social, and sustainable, which have important theoretical and practical significances, while also serving as a useful reference for the evaluation of the sustainable economic development of similar regions.

Analysis of Public Technology Collaborative Innovation Based on Private Technology: A Tripartite Evolutionary Game Approach

Public technology collaborative innovation serves as an essential driving force to implement the innovation-driven strategy as well as promote national and regional economic sustainable development. Moreover, strengthening the construction of public technology collaborative innovation system is likewise of great significance for strengthening the quality and technology level of enterprises, enhancing their independent innovation capability, and achieving strategic transformation. Particularly, collaborative innovation of public technology in accordance with mature private technology enables the efficient allocation of technological and economic resources. In practice, there are still issues including high innovation costs, insufficient motivation, and low efficiency of innovation. Existing research typically ignores the technical cooperation among multiple parties. An evolutionary game model of public technology collaborative innovation is established in this paper to examine the interaction mechanism among the government, enterprises, and technology owners. For the purpose of analyzing the dynamic evolution of public technology collaborative innovation behavior and its influencing factors, numerical simulation experiments were conducted with meaningful results: (1) Setting the cost and benefit allocation coefficient in a scientific manner contributes to system stability and promotes cooperation among game players. (2) Reasonable government subsidies and penalties can assist in the formation of an active technological innovation between the firm and the technology owner. (3) The pricing method of private technology transfer is a significant factor influencing the evolution process. Besides, the adoption of a technology pricing method on the basis of government interests is conducive to the formation of a stable tripartite win-win situation. The research on collaborative innovation of public technology is further expanded in this paper, offering a reference for the formulation of relevant policies aimed at promoting cooperation in public technology innovation.

Cross-Regional Allocation of Human Capital and Sustainable Development of China’s Regional Economy—Based on the Perspective of Population Mobility

Using the panel data of cities at the prefecture level and above in China, based on the endogenous growth theory, this study aims to explore the influence of the cross-regional allocation of human capital on regional economic sustainable development. Least squares estimation and stepwise regression methods were adopted for an empirical test, and the results showed that (1) the cross-regional allocation of human capital can significantly promote regional economic sustainable development; (2) labor productivity, industrial structure, and regional innovation capacity play mediating roles in the relationship between the cross-regional allocation of human capital and regional economic sustainable development; (3) household registration policy plays a negative moderating role in the influence of cross-regional allocation of human capital on regional economic sustainable development; (4) after considering the potential endogenous problems and conducting additional robustness analysis, including changing the independent variable and changing the dependent variable, our main results remain robust and reliable. With the development of the economy, the cross-regional allocation of human capital plays an important role in regional economic sustainable development. Thus, in order to improve regional economic sustainable development, it is imperative for governments to promote a reform of the household registration system, to guide the rational mobility of population, and to optimize the regional allocation of human capital.