Level Of Regional Development Research Articles

Research Progress and Prospect of Chinese Labor Skill Structure

As an important index to measure a country's economic development and social progress, the skill structure of labor force has been widely concerned. With the rapid development of China's economy and science and technology, the optimization of labor force skill structure has become one of the key factors to achieve sustainable development. However, there are still some deficiencies and limitations in the research on the skill structure of Chinese labor force. By systematically combing relevant studies, this paper clarified the evolution trend of China's labor force skill structure, deeply analyzed the influence mechanism of China's labor force skill structure around variables such as digital economy, industrial upgrading, regional development level, technological progress and urbanization, and then discussed the optimization path of labor force skill structure, and looked forward to the direction and focus of future research.

Does Green Finance Affect Economic Performance? Growth and Crowding-Out Consequences

ABSTRACT Green finance is crucial to the achievement of China’s dual-carbon goals and its sustainable economic development. Based on the data from 2011 to 2020, This paper employs a double-difference method to examine two effects of green finance on economic growth, namely, its growth and crowding-out effect. The empirical results show that, in general, green finance improves the level of economic growth and doesn’t impede the entry of new enterprises, while crowding out the contribution of heavy polluting industries to the economy. Green financial policies effect economic performance mainly through resource allocation and technological innovation. Specially, in comparison to the central and western regions, green finance exerts a more pronounced influence in the eastern region, potentially attributable to disparities in regional development levels, financial system efficiency, and degrees of marketization. In addition, both growth and crowding-out effect are more significant in resource-dependent cities.

How effective is the reduction of major pollutants in thermal power plants under the ultra-low emission policy?

In 2015, the Chinese government set ultra-low emission standards for thermal power to alleviate the pressure of increasing total pollutants from energy demand. This paper analyzes the policy effect of ultra-low emission in different regions based on panel data of 1202 thermal power enterprises, and the results of hierarchical linear model show that the total amount of air pollutants emitted by thermal power enterprises showed a decreasing trend during 2017–2021, realizing the dual control of concentration and total amount. Due to the differences in primary energy structure, industrial structure and economic development level of different regions, the total emission reduction of thermal power pollutants is affected differently. First, the proportion of the region's secondary industry in the region's GDP is negatively correlated with the decrease of the total pollutant emission of local thermal power enterprises. Second, the higher the per capita GDP of the region, the more significant the decrease in the total amount of pollutants, economic development is conducive to pollutant emission reduction. Third, the higher the proportion of thermal power in local energy, the more obvious the reduction of total pollutant emissions of thermal power enterprises, indicating that the implementation of ultra-low emission policies in these regions is more thorough. In addition, the environmental protection tax plays a positive role in the total emission reduction, and the higher the sulfur dioxide tax rate, the more significant the reduction of total pollutants of thermal power enterprises. To further reduce the total amount of pollutants in thermal power, more coordinated efforts of environmental and economic policies are needed.

Пороговые значения уровня региональной дифференциации социально-экономического развития как инструмент обеспечения экономической безопасности

The article defines the high level of uneven regional development of the Russian Federation as a significant threat to its territorial integrity and national security. In this regard, an urgent problem in the theory and practice of public administration is the development of methods for assessing the degree of regional differentiation and determining its threshold values. The article reveals the essence of various approaches to determining indicators characterizing the unevenness of territorial development and substantiates the need to develop an indicator of its critical state.

Dual circulation strategy, regional healthcare development, and medical collaborative innovation efficiency: evidence from Chinese cities.

This study analyzes panel data of Chinese cities from 2003 to 2018 as a sample in the context of the dual circulation strategy in China to ascertain the impact of urban healthcare development on medical collaborative innovation efficiency by using the GS2SLS method. Furthermore, it empirically examines the influence mechanism of regional healthcare development on medical collaborative innovation efficiency by using a threshold regression model. Additionally, we identified the heterogeneity of this impact in different cities. The results show the following: (1) There is a significant positive spatial correlation between regional healthcare development and medical collaborative innovation efficiency; (2) Under the dual circulation strategy, the regional investment level in international circulation has the most significant role in the overall strategy, and domestic circulation has been significantly improved after the launch of the innovation-driven strategy; (3) The results of the threshold test show that while domestic and international circulation promote the efficiency of collaborative innovation by 0.83, the promotion effect is more obvious under a higher regional healthcare development level. The research in this paper can provide specific guidance for the development of China's healthcare industry under the background of dual-cycle strategy, and can also provide valuable reference for developing countries in the world.

Financial technology and firm productivity: Evidence from Chinese listed enterprises

Recent data show that the number of fintech investment deals is increasing, implying that fintech is gradually penetrating various industries and may have far-reaching impacts on industrial production and operations. This paper studies the impact of fintech on firm productivity and the mediating effects of financing constraints, information asymmetry and technological innovation. This paper collects data from 1662 samples of Chinese listed firms from 2011 to 2022 and screens the number of firms that meet the fintech criteria to construct the regional fintech development level. Our analysis shows that fintech has a positive effect on enhancing firm productivity. Path analysis reveals that digital transformation indirectly enhances firm productivity by reducing information asymmetry, easing financing constraints, and improving technological innovation. Our research introduces innovative approaches for developing indicators in financial technology. The insights generated from this study hold potential value for both entrepreneurs and governmental bodies.

The Impact of the Integration of the Culture Industry and Tourism on Regional Green Development: Empirical Evidence from China

The concept of “green development” has garnered increasing recognition and prominence in recent years, attracting the attention of various countries and regions. How to achieve green development has become a pressing issue for the government. The integration of the culture industry and tourism has had a profound impact on regional green development. This paper employs the entropy method to assess the level of regional green development, and it employs the coupling coordination model to evaluate the degree of integration of the culture industry and tourism across 30 provincial administrative regions in China from 2011 to 2021. Additionally, an econometric model is constructed to empirically examine the impact of the integration of the culture industry and tourism on regional green development, as well as its underlying mechanism. The findings of this study indicate the following: (1) The integration of the culture industry and tourism significantly enhances regional green development. (2) With the improvement in the regional green development level, the integration of the culture industry and tourism is playing a gradually stronger role in promoting regional green development. (3) Further analysis of the mechanism reveals that the integration of the culture industry and tourism enhances regional green development by facilitating the upgrading of the tourism industrial structure. (4) Environmental regulation policies reinforce the role of the integration of the culture industry and tourism in promoting regional green development. These research findings contribute to enhancing our understanding of the impact of the integration of the culture industry and tourism on regional green development, providing empirical evidence and policy recommendations for the government to facilitate the integration of the culture industry and tourism and further promote green development.

The effectiveness of dual regulation and synergistic governance of market-incentivized carbon reduction policies and public environmental supervision: a study based on the sustainable development performance of listed companies in China

IntroductionIn the current background of global economic slowdown, the traditional reliance on one regulatory instrument or the unilateral consideration of the effectiveness of one regulatory policy in policy formulation is no longer sufficient to cope with the increasingly complex contradictions between environmental protection and economic development. In the construction of a modernized environmental governance system, it has become an inevitable choice to achieve synergy between various environmental regulations. In China, the citizens' environmental supervision campaign that gradually emerged in 2006 and the local carbon trading pilots that started in 2013, as typical representatives of informal and formal environmental regulation respectively, provide vivid and realistic materials for our study.MethodsUsing econometric models and microdata from listed Chinese firms from 2009 to 2020, we analyze the profound logic and internal mechanism by which this synergistic governance effect of environmental regulation affects the economic society and the development pattern of firms.Results and discussionThe study found that: (1) the synergistic effect of the carbon trading policy and citizens' environmental supervision can significantly promote the transition of enterprises to a sustainable development model, especially paying attention to the role of citizens' environmental supervision in this process. (2) The regional development level, cost transfer capability, and political connection can make the synergy of the two environmental regulations vary across firms. (3) The synergistic effect of environmental regulation promotes the behavior of enterprises in line with the requirements of sustainable development by influencing enterprises' R&D and innovation investment, resource allocation efficiency, and sustainable development awareness. (4) A favorable regional rule of law environment and moderate media attention can effectively increase the intensity of citizens' environmental supervision, and at the same time strengthen the effectiveness of synergistic governance of environmental regulation in the transformation and development of enterprises.

Pathways to enhance the efficiency of forestry ecological conservation and restoration: empirical evidence from Heilongjiang Province, China

This paper proposes a theoretical framework for assessing ecological protection and restoration from the perspective of ecological efficiency. We applied the super-efficiency Slack-based measure model to examine the social and economic impacts of ecological resource consumption transformation in Heilongjiang Province, China. Additionally, a convergence analysis was used to evaluate and test the impact of the standard deviation ellipse method on regional sustainability. The results indicated that the land use structure was unstable; the conversion rate of resource consumption was low; and the average Ecological efficiency was only 0.343 in terms of the land use structure. Funds for forest ecological restoration have a significant impact on the effectiveness of ecological resource transformation. Implementing the Chinese ecological restoration project improves the ecological efficiency level of the communities. The center of gravity of ecological efficiency moved greatly in the years when forestry investment increased. Technological transfer and diffusion, experience imitation in environmental regulation, and eventually convergent steady-state levels of the ecological efficiency of different regions are necessary to improve the economic and social development level of regions with low environmental quality efforts should be made to reduce resource consumption intensity, increase fund utilization efficiency, and form a comprehensive and systematic system of ecological environment governance through reasonable enhancement of regional environmental regulations, increased investment in technological advancement, and funds for ecological protection and restoration.

Accounting for Greenhouse Gas Emissions in the Agricultural System of China Based on the Life Cycle Assessment Method

Agricultural systems contribute nearly one-third of global anthropogenic GHG emissions and are an important source of GHGs globally. The clarification of the GHG emission pattern from agriculture is of paramount importance in the establishment of an agricultural emission reduction mechanism and the realization of China’s dual-carbon target. Based on the life cycle assessment method (LCA), this paper comprehensively quantifies the greenhouse gas emissions from the agricultural system in China, encompassing rice, wheat, and corn cultivation as well as animal husbandry including cows, horses, donkeys, mules, camels, pigs, and sheep. The analysis covers the period 2000–2020 and examines the spatial distribution, temporal trends, and structural changes in the greenhouse gas emissions within China’s agriculture sector. The main results are as follows: (1) from 2000 to 2020, China witnessed a consistent upward trajectory in its total agricultural GHG emissions, exhibiting an average annual growth rate of 0.73%. Notably, methane (CH4) emissions emerged as the largest contributor, displaying an overall fluctuating pattern. Carbon dioxide (CO2) emissions demonstrated intermittent increases with a noteworthy annual growth rate of 3%, signifying the most rapid expansion within this context. Conversely, nitrous oxide (N2O) emissions experienced decline over the specified period. (2) GHG emissions from cultivation demonstrate an upward trajectory, primarily driven by the CH4 emissions originating from rice cultivation and CO2 resulting from straw incineration. Conversely, GHG emissions stemming from animal husbandry declined, with the primary source being CH4 emissions arising from animal enteric fermentation. Agricultural N2O emissions predominantly arise due to manure management and nitrogen fertilizer application. (3) Agricultural greenhouse gas emissions exhibit significant variations in spatial distribution, gradually concentrating towards the North China Plain, the middle and lower reaches of the Yangtze River, and the northeast. Specifically, agricultural CH4 emissions are progressively concentrated in China’s pivotal rice-growing regions, encompassing the middle and lower reaches of the Yangtze River Plain, as well as livestock breeding areas like Inner Mongolia. Agricultural CO2 emissions primarily concentrate in dryland crop production zones such as North China and Northeast China. Meanwhile, Agricultural N2O emissions predominantly occur in Inner Mongolia and the North China Plain. China’s agricultural greenhouse gas emissions in 2020 show a significant spatial clustering effect, with hotspots primarily concentrated in Shandong, Anhui, Henan, and other regions and cold spots focused in the western and southern areas. The emission patterns of agricultural GHGs are closely intertwined with farming practices, regional development levels, and national policy; hence, tailored measures for emission reduction should be formulated based on specific crop types, livestock categories, agricultural production activities, and regional development characteristics.

How does digital inclusive finance affect county's common prosperity: Theoretical and empirical evidence from China

As an emerging industry in the convergence of finance and technology, Digital Inclusive Finance (DIF) has gradually become a fundamental driving factor in increasing Common Prosperity (COPRO). However, the potential influence of DIF on COPRO across counties has yet to be clarified. As a result, we explore the impact, heterogeneous characteristics, and pathways of DIF on COPRO using Chinese county-level panel data from 2014 to 2021. The key findings of this paper are as follows: (1) The COPRO in China's counties has shown a steady upward trend, but there are significant differences in regional development levels. (2) DIF can significantly boost the counties' COPRO, and the above conclusion still holds after multiple robustness tests. (3) The coverage and digitalization of DIF contribute more to COPRO than usage. Furthermore, DIF can contribute to COPRO in central and western, highly urbanized, and internet-enabled counties. (4) DIF can encourage COPRO by easing financial constraints and promoting enterprise cultivation. Drawing from the findings above, this paper offers feasible financial solutions and paths for China and developing countries to promote COPRO.

Factors of regional financial inclusion in Morocco

The purpose of this paper is twofold: first, provide a comparative analysis of interregional and intraregional inequalities in terms of financial inclusion across Moroccan regions; second, explore the determinants of regional financial inclusion in a panel of 12 Moroccan regions. We used the principal component analysis methodology to construct our regional financial inclusion indexes, and the panel data estimation methodology to identify the determinants of regional financial inclusion. Our regional financial inclusion index shows that the majority of regions have a low level of financial inclusion. This is symptomatic of a very asymmetric distribution. For all regions, we found that intraregional inequalities in access to bank branches by locality/province or prefecture increase as we move away from the region’s main city. Empirical results indicated that a region’s human development level, as proxied by the Human Development Index (HDI), the size of its population, and the industrialization level of its economic fabric are the main determinants of a region’s financial inclusion level. The Moroccan financial system authorities have implemented several reforms (the banking law no. 2‐91‐967 of July 21, 1993) and strategies (National Financial Inclusion Strategy) aimed at promoting financial inclusion in Morocco; however, the increase in the level of financial inclusion at the macrolevel has not benefited all segments of the Moroccan population. This paper is original as, to our knowledge, it is the first to mobilize interregional and intraregional data, as opposed to previous studies that are national‐level oriented. Given the mapping of interregional and intraregional inequalities in access to, and use of, formal financial services, policymakers can rely on our index to formulate useful financial inclusion policies and to target rural localities, provinces or prefectures, and priority regions in Morocco’s National Financial Inclusion Strategy. The financial system should provide financial services tailored to regional financing needs. Moroccan policymakers should focus on filling gaps in levels of regional human development, as the latter is a key factor in regional financial inclusion.

A Relationship Analysis Between the Poverty Rate and the Regional Development Level in Kulon Progo Regency, Indonesia

This study aims to identify the level of poverty and the level of regional development, along with an analysis of the relationship and typology between the two, in Kulon Progo Regency. The analysis unit in this research was 12 subdistricts in Kulon Progo Regency. The method used in the research is descriptive quantitative, with secondary data analysis using factor analysis, natural breaks, Pearson Product Moment correlation test, alignment levels, regional typologies with scatter plot, and spatial analysis. Meanwhile, regional development policy recommendations are also prepared, based on the type of area resulting from the typology using a SWOT analysis. The results showed that there are variations in poverty and regional development levels. The correlation test between the poverty rate and three factors in the regional development rate showed a fairly strong negative relationship with input and output factors and a strong negative relationship with process factors, which means that the higher the poverty level, the lower the level of regional development, and vice versa. Meanwhile, regional development policy recommendations are prepared based on four quadrants of the resulting regions, namely Quadran I (developed regions), Quadran II (developing regions), and Quadran III and IV (underdeveloped regions).

Comply or evade: factors influencing private enterprises' basic old-age insurance responsibilities.

Private enterprises are playing an increasingly important role in production and employment in China. However, due to less regulation and a stronger profit motivation than state-owned enterprises with more standardized management, a considerable portion of these private enterprises fall short of fulfilling their basic responsibilities for government-mandated old-age insurance. This study establishes a comprehensive research framework aimed at delving into the precise factors contributing to the lax adherence of private enterprises to their basic old-age insurance obligations. This framework takes into account a range of factors, including enterprise profitability, the external environmental context (specifically the level of regional development), and internal organizational dynamics (such as the presence of labor unions and workers' congresses). To validate this framework, empirical data from a substantial sample of 3,123 private enterprises, which were part of the 10th Chinese Private Enterprise Survey (CPES), were utilized. This study employs the stepwise multiple regression analysis and conducts robustness tests to ensure the model's effectiveness. Enterprise profitability, regional development levels, and the existence of labor unions all wield a positive influence on basic old-age insurance coverage that private enterprises extend to their workforce. Moreover, an intriguing aspect emerges: the developmental stage of the region, as well as the presence of labor unions exercise a negative moderating effect on the relationship between enterprise profitability and the coverage rate of basic old-age insurance. In essence, this implies that the basic old-age insurance coverage rate for private enterprises operating in well-developed regions and those with established labor unions is relatively insulated from fluctuations in profitability. To increase the participation rate of private enterprises' basic old-age insurance, it is important to improve the overall development environment for private enterprises, enhance internal organizational mechanisms, and strengthen regulatory oversight of enterprises in various regions.

Executive team risk appetite, financial development and re-innovation strategy after enterprise innovation failure: evidence from China

PurposeThis article empirically tests the impact of risk appetite of the executive team on the re-innovation strategy after technological innovation failure using a panel regression model from the perspective of regional financial development level of enterprises.Design/methodology/approachBy means of time series global principal component analysis and panel regression model method, the study validated and analyzed the impact of risk appetite of the executive team on the re-innovation strategy after enterprise technological innovation failure.FindingsThe research found that the higher the risk appetite of executive team, the more inclined the enterprise is to choose the “focusing on quantity, ignoring quality” re-innovation strategy after technological innovation failure. The better the financial development level of the region where the enterprise is located, the better it can effectively reduce the re-innovation strategy of “focusing on quantity, ignoring quality” of the enterprise due to the high risk appetite of the executive team.Originality/valueThe findings of this study are helpful in improving the financial development level of the region where the enterprise is located. It can help the executive team of the enterprise to more objectively choose the innovation strategy after technological innovation failure, and reduce the phenomenon that the executive team of the enterprise only pays attention to the quantity of re-innovation and underestimates the quality of re-innovation after technological innovation failure due to its high risk appetite.

The effect of mHealth on childhood vaccination in Africa: A systematic review and meta-analysis.

Vaccine-preventable diseases are the public health problems in Africa, although vaccination is an available, safe, simple, and effective method prevention. Technologies such as mHealth may provide maternal access to health information and support decisions on childhood vaccination. Many studies on the role of mHealth in vaccination decisions have been conducted in Africa, but the evidence needs to provide conclusive information to support mHealth introduction. This study provides essential information to assist planning and policy decisions regarding the use of mHealth for childhood vaccination. We conducted a systematic review and meta-analysis for studies applying mHealth in Africa for vaccination decisions following the Preferred Reporting Items for Systematic and Meta-Analysis [PRISMA] guideline. Databases such as CINAHL, EMBASE, PubMed, PsycINFO, Scopus, Web of Science, Google Scholar, Global Health, HINARI, and Cochrane Library were included. We screened studies in Endnote X20 and performed the analysis using Revman 5.4.1. The database search yielded 1,365 articles [14 RCTs and 4 quasi-experiments] with 21,070 participants satisfied all eligibility criteria. The meta-analysis showed that mHealth has an OR of 2.15 [95% CI: 1.70-2.72; P<0.001; I2 = 90%] on vaccination rates. The subgroup analysis showed that regional differences cause heterogeneity. Funnel plots and Harbord tests showed the absence of publication bias, while the GRADE scale showed a moderate-quality body of evidence. Although heterogeneous, this systematic review and meta-analysis showed that the application of mHealth could potentially improve childhood vaccination in Africa. It increased childhood vaccination by more than double [2.15 times] among children whose mothers are motivated by mHealth services. MHealth is more effective in less developed regions and when an additional incentive party with the messaging system. However, it can be provided at a comparably low cost based on the development level of regions and can be established as a routine service in Africa. PROSPERO: CRD42023415956.

Value per Statistical Life at the Sub-National Level as a Tool for Assessing Public Health and Environmental Problems.

This article aims to estimate the Value per Statistical Life (VSL) and Value per Statistical Life Year (VSLY) at the sub-national level, which can be used to calculate the economic impact of health and environmental problems. We estimate the value of life for Mexico and its 32 states, grouped into 5 regions for 2021. We used the OECD's guidelines on "Mortality Risk Valuation in Environment, Health and Transport Policies," which applies the measure of Willingness to Pay (WTP) and Cost-Benefit Analysis (CBA). Mexico's overall VSL of $2 000 000 USD in 2021 showcases the value placed on human life. The variation in VSL across the 32 states, with Chiapas having the lowest VSL of $400 000 USD and Mexico City boasting the highest VSL of $3 300 000 USD highlights the different levels of regional development and people's willingness to pay to reduce the risk of mortality. Our estimates of VSL and VSLY have the potential to contribute to the evaluation of public policies in the fields of health and the environment. Monetizing human life through these estimates can offer valuable insights to policymakers at both the national and sub-national levels. By quantifying the economic value placed on human life, this paper helps decision-makers prioritize investments, assess the cost-effectiveness of interventions, and allocate resources to maximize societal well-being.

Exploring the relationship between regional tourism development and land use efficiency: A case study of Guangxi Zhuang Autonomous Region, China.

The utilization efficiency of land resources is an essential embodiment of economic development, social development, and ecological development and is a critical core to measure how to maximize the efficiency of land resources under limited conditions. The land is an important content and essential carrier of the research of tourism development level. This paper selects Panel Data from 2010 to 2019 to research the Guangxi regional tourism development. The entropy weight method and stochastic frontier production function (SFA) model were used to evaluate the development level of urban-rural tourism and the utilization efficiency of land resources in Guangxi. This paper uses the Panel Vector Autoregression (PVAR) model to analyze the internal relationship between urban-rural tourism development. The results show that: (1) Guangxi has a good level of tourism development and a high land use efficiency. (2) There is a reciprocal causation relationship between the regional tourism development level and land use efficiency in Guangxi, with significant levels of 0.005 and 0.034 respectively, indicating high credibility. This indicates that there is a mutual promotion and interaction between the two, which rely on and drive each other, promoting the joint sustainability of tourism development and land use efficiency. (3) . The tourism development level is greatly influenced by itself, with impact values all above 0.99. At the same time, land use also has a significant self-impact, with impact values all above 0.87. Their internal optimization system is solid and endogenous impetus is robust, which can drive their development. Establishing an effective strategy for developing and protecting land use is beneficial to promote the long-term effectiveness of sustainable tourism development, enhancing high-quality development of the tourism economy and improving people's living standards and quality.

The Impact of Digital Economy on Regional Innovation Capability

Based on China's inter provincial panel data from 2011 to 2019, this paper constructs a measurement index of the level of digital economy, and uses a fixed effect model to make a regression estimation of the impact of digital economy on regional innovation. Research shows that the development of digital economy has significantly promoted the improvement of regional innovation ability. Through the comparison of different groups of regression analysis, it is found that the impact of the development of digital economy on China's invention and innovation is less than that of utility model innovation, which shows that China's innovation still needs to pay attention not only to high-quality development, but also to promote high-quality development. Grasp the role of digital economy as a catalyst for innovative development, comprehensively promote the integration of digital economy and industrial transformation in various regions, narrow the differences in regional development levels, and accelerate the construction of an innovative country.

Dynamic Analysis of Regional Integration Development: Comprehensive Evaluation, Evolutionary Trend, and Driving Factors

Regional integration, as an essential measurement for solving unbalanced and uncoordinated regional development, plays an important role in achieving regional sustainable development. In this study, we aimed to construct a systematic research framework to facilitate the development of regional integration. Using 31 prefecture-level cities in the urban agglomeration in the Middle Reaches of the Yangtze River (MYR-UA) as case sites, this study applied box plots, kernel density estimation, GIS visualization tools, Markov chains, and geographic detectors to reveal the dynamic spatiotemporal evolution and factors influencing regional integration from 2009 to 2018. The results indicate that the level of regional integration and its subsystem development is suboptimal in MYR-UA; the temporal characteristic shows an upward fluctuating trend, and the spatial distribution shows remarkable spatial correlation and clustering characteristics. Additionally, we found that the level of regional integration development in MYR-UA has both “path dependence” and “self-locking” effects, and the spatial lag type has a crucial impact on the degree of regional transfer stability. The dominant factors affecting regional integration development include the GDP per capita, economic openness, industrial structure, proportion of education expenditure in fiscal expenditure, urbanization rate, proportion of environmental investment in fiscal expenditure, population density, capital flow, information flow, and technology flow. Finally, based on the findings of this study, policy recommendations for promoting regional integration are proposed.