China Provincial Research Articles

Network Technology, Whole-Process Performance, and Variable-Specific Decomposition Analysis: Solutions for Energy-Economy-Environment Nexus

The sustainability of the industrial sector is often evaluated in a one-stage process. On the other hand, industrial activities are characterized by complex and multistage natures, which creates challenges for industrial performance assessment. Properly measuring industrial sustainability and understanding the driving factors (e.g., energy use or labor) of whole-process industrial operation is important for sustainable industrial sector management. To address these difficulties, we propose two new frameworks: the network variable-specific bounded-adjusted measure and network variable-specific Luenberger productivity indicators decomposition. These both take into account the whole-process context and network nature of industrial production, and unpack and quantify the contributions of specific components of the industrial process affecting sustainability. In order to capture both the status and evolution of sustainability performance, two indices are constructed. These are then decomposed to investigate the contribution of particular components to overall sustainability. The proposed approach is applied to analyze the sustainability of the industrial sector in 30 of China's provincial administrative regions between 2006 and 2015. The static sustainability inefficiency indicator results indicate that in the production and treatment process, use of the most efficient existing technology would allow a further 48.0% and 23.6% of pollutant emissions to be reduced and treated, respectively. In the production process, the most efficient technology could produce a 10.7% improvement in energy conservation. The average annual dynamic environmental performance was 2.45% and 2.07% for the production and treatment processes, respectively. There is significant heterogeneity between regions and for different variables.

Competitiveness and Market Concentration of China's Provincial Fruit Industry: a Comparison Study Between Guangxi and 10 Important Output Provinces

Competitiveness and Market Concentration of China's Provincial Fruit Industry: a Comparison Study Between Guangxi and 10 Important Output Provinces

Can FinTech transform corporate liquidity? Evidence from China

The rapid growth of China's financial technology has had a significant impact on businesses. The study of the relationship between macrofinancial technology and microbusinesses has important theoretical and practical implications. We empirically examined the relationship between FinTech, financing constraints, and corporate liquidity using the China Provincial Fintech Development Index and the data of A-share manufacturing companies listed on the Shanghai and Shenzhen Main Boards between 2011 and 2020. We found that financing constraints have a negative effect on a company's liquidity. The greater the constraints on corporate financing, the worse the liquidity. However, financial technology will have positive external effects and will mitigate the negative effect of financing constraints on corporate liquidity. In addition, we find that non-state-owned enterprises, small and medium-sized enterprises, and young enterprises face greater financing constraints and are thus more impacted by FinTech.

Research on the Role of Digital Economy in Industrial Structure Optimization Evidence from China's Provincial Panel

The development of digital economy not only promotes economic growth, but also promotes the optimization and development of industrial structure. Using the panel data of 31 provinces provided by China Statistical Yearbook, this paper constructs two indicators of digital economy and industrial structure optimization, and uses two-way fixed effect model to study the impact effect, heterogeneity analysis and mechanism analysis of digital economy on industrial structure optimization. The research shows that the development of digital economy has significantly optimized the industrial structure; In different regions of China, the role of digital economy in the optimization of industrial structure is different. The improvement of innovation level and social division of labor will significantly promote the optimization effect of digital economy on industrial structure. The results of this study show that it is necessary to further promote the integration of digital economy and the traditional three industries, and give full play to the enabling role of digital economy with higher quality. We should pay attention to the different impacts of digital economy on industrial structure optimization in different regions and take measures according to local conditions. It is necessary to refine the social division of labor in the region and strengthen the regional innovation ability, so as to give full play to the optimization efficiency of digital economy on industrial structure.

Quantitative Analysis of China's Provincial Live streaming e-commerce Policies from the Perspective of Policy Tools

[Research purpose] With the rapid development of live streaming e-commerce, local governments have promulgated local regulations and normative documents for the development of live streaming e-commerce in combination with local development. Carry out the research on the policy of live streaming e-commerce at the provincial level, trying to provide a reference for the development and policy formulation of live streaming e-commerce in China. [Research methods] This paper makes a text analysis of 54 relevant policies of live broadcast e-commerce at the local government level, mainly using unsupervised LDA (Latent Dirichlet Allocation) Topic model method and social Semantic network analysis method. [Research Conclusion] The key points and difficulties in the development of live streaming e-commerce are concentrated in three aspects: live streaming e-commerce to help poverty alleviation, live streaming e-commerce industry supervision system improvement, and live streaming e-commerce talent training support system. The existing live streaming e-commerce policies radiate all areas of society, mainly focusing on improving the regulatory system and avoiding marketing risks, but there is a lack of demand-oriented policy tools, and the proportion of policy tools used is unbalanced. To this end, optimizing the configuration of policy tool structure, strengthening policy analysis, and promoting the benign coupling of policy objectives, implementation and system have become the future development path of live streaming e-commerce policies at the provincial level in China.

Pathway and Policy for China's Provincial Carbon Emission Peak

An effective way for China to achieve a carbon emission peak by 2030 is to encourage developed regions to take the lead in attaining carbon peaking at the regional level. Considering Jiangsu Province as an example, this study established a provincial low emissions analysis platform (LEAP-Jiangsu) model. It combined the improved multilevel logarithmic mean Divisia index (M-LMDI) model, Tapio decoupling model, and the synergistic effect of pollution and carbon reduction model to explore the key influencing factors of carbon emissions and carbon reduction paths. The improved M-LMDI model was used to analyze the factors influencing historical and future carbon emissions in Jiangsu Province. Based on the analysis results and planning objectives, a LEAP-Jiangsu model involving various development scenarios was established to predict the time and value of carbon emission peaks. The Tapio decoupling and synergistic effect models were used to clarify the relationship between carbon emissions and economic development, the synergistic effect of carbon, and air pollutant emission reduction. The prediction results demonstrated that the total primary energy demand of Jiangsu Province in 2035 was predicted to be approximately 401.2-474.6 Mt, and the final energy demand would be approximately 319.2-382.3 Mt. Jiangsu Province was most likely to achieve the goal of carbon peaking in 2025-2030, and the peak carbon emission was approximately 815.3-845.7 Mt. The contribution rates of energy conservation and emission reduction measures such as energy intensity reduction, industrial structure optimization, terminal electrification improvement, and energy structure adjustment were 33.1%, 26.8%, 21%, and 15.2%, respectively.

Seismic velocity structure of the crust and uppermost mantle beneath the Tien Shan and its adjacent areas

The Tien Shan and its adjacent areas have been a prime place to understand the process of continental collision, the mechanism of mountain building and the interaction of tectonic blocks. In this study, we collect seismic data recorded by 74 broad-band stations from the China Provincial Digital Seismic Networks and the Regional Kyrgyzstan and Kazakhstan Networks between January, 2007 and September, 2009. A joint inversion technique that combines three types of datasets (receiver functions, phase velocities of Rayleigh wave measured from both ambient noise and teleseismic earthquake data) is applied to image the crustal and upper mantle structure beneath the Tien Shan and its adjacent areas. The average crustal thickness in the study area is about 50 km, however, the Moho depth extends to ∼70 km beneath the Kyrgyz Platform near the southwestern Tien Shan. Our velocity models show a good correlation with subsurface geological features at shallow depths: low velocities are predominantly observed beneath the basins due to thick sedimentary layer, whereas high velocities are mainly distributed beneath the mountain ranges due to crystalline basement rocks. In the upper mantle a low velocity zone is obviously observed beneath the western Tien Shan. Both the crust thickness and S wave velocity structure of the Tien Shan and its adjacent regions display obvious horizontal and vertical heterogeneities from west to east, which suggests that the far-field effects of the collision between Eurasian plate and Indian plate plays an important role in the tectonic activity of the Tien Shan. The apparent velocity heterogeneities beneath the northern Tarim Basin may indicate that the Tarim Basin may have been eroded and damaged by upwelling hot materials from the upper mantle.

Spatial spillover effect of Green Finance and Clean Energy on China's Provincial Green Economic Development.

Green finance is a new financing mode that pays attention to environmental benefits. Achieving a balance between the economy and the environment requires clean energy. For formulating policies to achieve sustainable development goals, it is very important to explore whether integrating green finance and clean energy is conducive to promoting green economic development (GED). This study applies a non-radial directional distance function (NDDF) to assess China's provincial GED using panel data from 2007 to 2020. It adopts the spatial Durbin model to empirically analyze the spatial spillover effects of green finance and clean energy on GED. The results indicate that: 1) The influence of green finance on GED shows a "U" curve relationship of first suppression and then rise. 2) A 1% increase in the synergy between green finance and clean energy yields a 0.1712% raise in the local GED and a 0.3482% boost to the surrounding area's GED through spatial spillovers. 3) The integration of green credit and clean energy has an apparent spatial spillover effect, and the interaction between green securities and clean energy can promote local GED. This study suggests that the government should accelerate and improve the development of a green financial market and establish a long-term linkage and co-ordination mechanism for the promotion of GED. It is crucial that financial institutions allocate more resources to clean energy development, and all regions will have to utilize the spatial spillover effect of clean energy to facilitate China's economic transformation and development in theory and practice.

Inter-regional economic-environmental correlation effects of power sector in China

Power sector is the pillar industry to promote China's rapid economic growth. It is also one of the sectors with the largest carbon emissions and water consumption. The green transformation of the power sector has become the focus of China's provincial economic and environmental policies. However, due to the complex inter-provincial power sector linkage, provincial power policies have spillover and overlapping effects, making it difficult for policies to coordinate and complement each other. Here, we quantify the value-added, CO2 emissions and water consumption driven by inter-provincial power sector linkage in China, and proposes differentiated policies at provincial and sectoral levels for green transformation of power sector. By quantifying the economic and environmental correlation effects among China's provincial power sectors, we found that low-carbon transformation of power sector in industrial provinces have higher economic costs. East and North China's policies committed to emission reduction in power sector can save more water.

Influence of government attention on environmental quality: An analysis of 30 provinces in China

Scholars have argued that government attention can exert influence on public policy formulation. Yet the impact and process of how government attention affects regional environmental pollution emission outcomes remains unclear. This study uses the China Provincial Government Environmental Attention Database (2003–2019), constructed by examining environmental keywords in government work reports (GWR), to elucidate how government attention influences environmental quality, and the synergistic mechanisms between government attention and environmental social feedback. Key results include the following, (1) government environmental attention is showing a fluctuating upward trend. (2) Government attention significantly contributes to regional pollutant emissions reductions. Each 1% increase in the government attention index contributes to regional pollution abatement of 0.130 units. (3) Environmental enforcement and environmental fee are the two most effective channels to promote pollution abatement. (4) There exist synergistic effects between environmental social feedback and government attention. Our findings highlight how government attention influences enterprise pollution emissions by the signal and pressure effects, shedding new knowledge on the relationship between government, environmental department, enterprise, and the public. Based on the findings, this paper proposes that keeping government attention stable, implementing multiple environmental instruments, encouraging environmental participation, and raising central government supervision will lead to improved environmental quality.

Research on Regional Differences and Spatial Dynamic Evolution of Green Efficiency of China's Provincial Service Industry

In order to achieve the goal of "Peak Carbon Dioxide Emissions and Carbon Neutrality" as scheduled, China's service industry must achieve green development. In this paper, we use the super-efficiency SBM-DDF integration model to measure the green efficiency of the service industry in 30 provinces in China during 2011-2019. On the basis of the green efficiency level of the service industry, the Dagum Gini coefficient and the spatial Markov chain are used to analyze the source of the regional gap and the spatial dynamic evolution of the green efficiency of the service industry in China's four major regions. The results suggest that: (1) The overall green efficiency of China's service industry is increasing, and there is significant heterogeneity among regions. (2) The green efficiency of China's service industry has obvious characteristics of spatial differentiation. Regional differentiation is the main source of its spatial differentiation, and the contribution rate of over-density is the lowest. (3) The provinces with high service industry efficiency in China have a positive radiation effect on the green efficiency of the service industry in surrounding provinces, while the provinces with low-efficiency levels will have a certain inhibitory effect on the green efficiency of the service industry in surrounding provinces.

Research on the Coordinated Relationship between China's Provincial Environment and Economy

<p>The aim of the paper is to study the coordinated relationship between environment and economy among provinces in China. The environmental total factor productivity of 30 provinces and cities in China from 2003 to 2017 are measured using sequential ML methods, and the influencing factors of environmental total factor productivity are analyzed in a panel. It is found that: environmental total factor productivity has no obvious regional distribution characteristics, and is highly consistent with the change pattern of environmental technological progress rate, with oscillating upward characteristics; foreign capital utilization, capital increase per capita, and long-term education and science investment all have positive effects on environmental total factor productivity.</p>

Research on the Measurement and Influencing Factors of Rural Revitalization Development Level——An Empirical Analysis Based on China's Provincial Panel Data from 2013 to 2020

Based on the five subsystems of Rural Revitalization, the evaluation system is constructed, the entropy method is used to measure the development level of Rural Revitalization in China from 2013 to 2020, and the Tobit model is used to analyze the influencing factors. The study shows that the development level of Rural Revitalization in China has been steadily improving, showing a decreasing development pattern in the eastern, northeast, central and western regions, and the "catch-up effect" in the western region is significant. Government support, technological progress, infrastructure and education level have a significant positive impact on Rural Revitalization and development.

Has the digitization of the tourism industry promoted the export of tourism services?--Based on evidence at the provincial level of China

The rapid development of the digital economy has driven the digital transformation of the tourism industry, which will inevitably affect the development of China’s tourism service trade. Based on the provincial panel data of China from 2009 to 2020, this paper constructs the “three new” evaluation system of China Provincial Tourism Digitalization, tests its impact on tourism service exports. The results indicate that the digitization of the tourism industry positively affects the export of tourism services by reducing transaction costs, which is more obvious in the central and eastern regions.

The Impact of Financial Innovation on China's Provincial Economic Resilience

Financial innovation's impact on the socio-economic resilience cannot be disregarded in the context of the ongoing pursuit of innovation. This study employs a variety of econometric models, including the moderating effect and the mediating effect, to experimentally assess the relationship between financial innovation and economic resilience. The study's findings show that: financial innovation can significantly boost a province's economic resilience; the proportion of state-owned enterprises mitigates the benefits of financial innovation for economic resilience; and improving industrial structure and market activity are two ways that financial innovation boosts economic resilience. Thus, the research in this paper promotes the understanding of the development effect of financial innovation and provides a reference for the path of economic resilience enhancement.

Regional green innovation efficiency and dynamic evolution of Chinese industrial enterprises: a three-stage super-efficiency DEA method based on cooperative game.

The level of development of industrial enterprises is related to a country's or region's overall competitiveness. It is critical to assess the green innovation efficiency of regional industrial enterprises scientifically and effectively in order to improve a country's overall green innovation capability. The green innovation system is divided into three sub-stages in this paper: technology development, economic transformation, and environmental protection. Based on the theory of innovation value chain, a three-stage super-efficiency DEA model of the cooperative game including shared inputs and undesirable outputs is constructed to calculate the overall efficiency, three sub-stages efficiency, and dynamic evolution of green innovation of industrial enterprises in China's provincial administrative regions and eight economic zones from 2015 to 2019 (divided by the time of ultimate output). The results indicate that (1) in terms of overall efficiency, the efficiency of green innovation is not high, and there are clear regional differences, as evidenced by the following states: the middle reaches of the Yangtze River economic zone > the eastern coastal economic zone > the southern coastal economic zone > the northern coastal economic zone > the northeastern economic zone > the northwestern economic zone > the middle reaches of the Yellow River economic zone, and the overall efficiency of the southwestern economic zone fluctuates around the average level of China; (2) from the standpoint of various stages, economic transformation stage efficiency > overall efficiency > technology development stage efficiency > environmental protection stage efficiency. The improvement of overall efficiency is largely dependent on the high efficiency of the economic transformation stage, but low efficiency in the environmental protection stage results in overall low efficiency; (3) from the perspective of the dynamic evolution trend, the overall efficiency and three sub-stages have been improved to varying degrees. However, due to the low efficiency of the environmental protection stage, there is still a long way to go to achieve the goal of innovation-driven development; (4) based on the classification analysis, it was determined that the green innovation efficiency of industrial enterprises in only a few regions belongs to the "three high innovation type," which must take targeted measures to improve the inefficient innovation process links.

Monitoring and Analysis of Urban Sprawl Based on Road Network Data and High-Resolution Remote Sensing Imagery: A Case Study of China's Provincial Capitals

The primary prerequisite for sustainable urban development is to accurately grasp the development of the city. The dynamic changes in the urban area can reflect the urban expansion process and spatial development model. Carrying out urban expansion monitoring and extracting urban areas is of great importance for grasping the law of urban development and promoting the sustainable development of cities. However, the related research reveals several problems such as insufficient accuracy and low intelligence of urban boundary extraction. In response to these problems, this paper proposes a new method for urban area extraction based on the progressive learning model. By combining prior knowledge and image features, the number of training samples required for machine learning is reduced, and the problem of using high-level semantic information expression in the process of urban areas is avoided by using the classification method, and thus the accuracy of urban area extraction is improved. The method uses urban road network data to divide the city into blocks. It applies the scene classification method to extract the urban areas and uses the pyramid layer-by-layer to carry out the space constraint method to integrate the urban extraction principle into the machine learning process, which can be obtained and kept artificial under a small sample condition. Extracting the effect of the urban area is very close, greatly reducing the workload and providing a new solution for high-precision automatic extraction of urban areas. Through the analysis of urban expansion, the following results were obtained: (1) from 2000 to 2015, China's provincial capital cities maintained a high-speed growth trend with a total area increased by 90%; (2) urban expansion showed significant regional differences. The eastern expansion rate gradually slowed down, the western and northeast regions accelerated their expansion, and the central region expanded steadily; (3) 61% of the provincial capital cities expanded exponentially; (4) the development of China's provincial capital cities was highly correlated with national urban development policies and regional development strategies.

Pathway for China's Provincial Carbon Emission Peak: A Case Study of the Jiangsu Province

Pathway for China's Provincial Carbon Emission Peak: A Case Study of the Jiangsu Province

Analysis on the Influencing Factors of the Competitiveness of China's Provincial Star Hotel Industry Based on Regression Analysis

This paper selects data in the 2017 China Tourism Statistics Yearbook about 31 provincial-level regions in mainland China, with cluster analysis used to analyzes the differences in the competitiveness of the Star-rated Hotel Industry in China. The overall competitiveness difference is the largest in the east, second in the west, and smallest in the middle; the east is more competitive than the west, the south is more competitive than the north, the coastal provinces are more competitive than the inland provinces, and the economically developed provinces are more competitive than the underdeveloped provinces. This paper analyzes the factors affecting the competitiveness of provincial star-rated hotels. This paper proposes countermeasures such as accelerating regional economic development, increasing the proportion of the tertiary industry, increasing fixed asset investment in accommodation and catering, and expanding the degree of opening up at end.

The Inhibitory Effect of Fiscal Decentralization on Rural Revitalization——Based on China's Provincial Panel Data from 2013 to 2019

Based on the rural revitalization policy, this paper uses the entropy method to calculate the weight of each index, selecting the panel data of 31 provinces from 2013 to 2019 to construct a measure of the development level of rural revitalization and using fixed effect model to explore the influence of fiscal distribution to rural revitalization. The empirical results show that agriculture-related financial expenditure is an important guarantee for rural revitalization and development, and the high financial burden of local governments will weaken the investment in public goods in rural areas. The degree of fiscal decentralization has a significant negative correlation with the level of rural revitalization and development, indicating that with high fiscal autonomy, local government financial resources will be tilted toward cities, crowding out construction spending in rural areas. It is necessary to improve the current fiscal decentralization system, reverse the local government incentive mechanism, ensure the investment of fiscal funds, and promote the sustainable development of the rural revitalization.