Provincial Panel Data In China Research Articles

Effect of Agglomeration of Producer Services on Asynchronous Development of Industrialization and Urbanization: Provincial Panel Data of China

Effect of Agglomeration of Producer Services on Asynchronous Development of Industrialization and Urbanization: Provincial Panel Data of China

The impact of agricultural insurance on consumer food safety: empirical evidence from provincial-level data in China

In the exploration of the efficacy of agricultural subsidy policies, agricultural insurance, as a key element of this policy system, has garnered widespread attention for its potential impact on consumer food safety. This paper delves into the influence of agricultural insurance on the safety of food consumed by individuals, based on provincial panel data in China from 2011 to 2021. The findings indicate that agricultural insurance significantly reduces the incidence of foodborne disease and enhances food safety. Mediating effect tests reveal that agricultural insurance effectively boosts food safety through two key pathways: promoting innovation in agricultural technology and reducing environmental pollution. Moreover, the analysis of moderating effects highlights that increased consumer confidence positively enhances the impact of agricultural insurance. Heterogeneity tests further show that in the provinces with higher levels of agricultural development and stronger government support for agriculture, the role of agricultural insurance in improving food safety is more pronounced. This research not only empirically verifies the effectiveness of agricultural insurance in enhancing food safety but also provides robust theoretical support and practical guidance for the precise formulation and effective implementation of agricultural subsidy policies, particularly agricultural insurance policies, offering significant reference value for policy-makers.

The Impact of High-Standard Farmland Construction Policies on the Carbon Emissions from Agricultural Land Use (CEALU)

The Impact of High-Standard Farmland Construction Policies on the Carbon Emissions from Agricultural Land Use (CEALU)

Research on the impact of climate change on the income gap between urban and rural areas-empirical analysis based on provincial panel data in China.

Narrowing the income gap between urban and rural areas is the key to achieving common prosperity in China. On the basis of analyzing the mechanism of climate change's impact on urban-rural income gap, this article empirically analyzes the impact of climate change on urban-rural income gap using provincial-level panel data of 30 provinces in China from 2011 to 2020. Research indicates that climate change significantly impacts the urban-rural income gap at the 1% significance level, implying that climate change exacerbates the urban-rural income gap. This widening effect varies significantly across different regions, particularly in the western regions and areas with lower fiscal support for agriculture. Further analysis reveals that there is a mediating role between the total agricultural output value and resource mismatch in the impact of climate change on urban-rural income inequality; the digital rural construction plays a regulatory role in the impact of climate change on the urban-rural income gap. On this basis, policy recommendations are proposed to promote the development of climate-resilient agriculture, improve the meteorological forecast and early warning system, increase financial support, and optimize the allocation of agricultural resources.

The Impact of Urban–Rural Integration on Food Security: Evidence from Provincial Panel Data in China

Food security is pivotal for national sustainable development. This study utilizes panel data from 31 Chinese provinces spanning from 1990 to 2021 to construct distinct indicator systems for urban–rural integration and food security. The entropy method is employed to assess levels of urban–rural integration and food security, with their inter-relationship examined through a fixed-effects model. Additionally, this study conducts rigorous robustness and endogeneity tests, alongside comprehensive heterogeneity analyses across various dimensions and regions. The findings underscore the significant role of urban–rural integration in enhancing food security, particularly within spatial, social, and economic dimensions, albeit encountering challenges in ecological integration. Moreover, the impact of urban–rural integration on food security manifests differently across diverse food-producing regions, exhibiting notable advantages in primary production and distribution hubs while being negligible in balanced regions. These results accentuate the critical necessity for refining urban–rural integration strategies to bolster food security. Consequently, in formulating agricultural regional policies, careful consideration of resource allocation and the developmental stages of each region is imperative to ensure food security and promote sustainable agricultural practices.

The influence of tax incentives on market segmentation in the context of a unified national market

The new development pattern prioritises the construction of a unified national market, eliminating market segmentation and promoting resource flows. This paper investigates the impact of tax incentives on market segmentation using China's provincial panel data from 2003 to 2019 through a two-way fixed effects model. The results indicate that tax incentives reduce market segmentation. The analysis of heterogeneity reveals a non-linear relationship between the effects of tax incentives on market segmentation. Tax incentives reduce market segmentation in regions with low tax incentives, but have a limited effect or even exacerbate segmentation in regions with high incentives.

Digitalization in prefabricated constructions and reducing carbon emission: empirical evidence from China.

Taking the implementation of digitalization in prefabricated constructions (DPC) as an exogenous shock, this study utilizes provincial panel data of China from 1997 to 2019, and uses the difference-in-differences model to identify the causal effect of DPC on carbon emissions in the construction industry (CECI). This study shows that DPC effectively reduces CECI with the results withstanding rigorous testing, including parallel trend tests, placebo tests, and a heterogeneous time-varying treatment test based on Bacon decomposition and the DIDm approach. The mechanism test confirms that DPC reduces CECI through two channels, which are improving existing building technologies and promoting better management capabilities. At the same time, further analyses show that the carbon emissions reduction effect of DPC is more pronounced in regions with a higher degree of marketization, financial development, human capital and environmental regulation. This study contributes to understanding the underlying mechanisms between DPC and CECI, providing new insights for the deeper integration of digital technologies and the construction industry. It offers new avenues for revitalizing the construction sector and facilitating achieving global carbon emissions reduction goals.

The impact of green finance on the development of the non-hydro renewable energy industry: An empirical study based on data from 30 provinces in China

As the global environmental pollution problem has received more attention, low-carbon development has become mainstream, and replacing fossil-fuel energy with new energy has become a general trend. Green finance, an important measure for promoting low-carbon development, is critical to the development of the non-hydro renewable energy industry. Using China's provincial panel data from 2008 to 2021, we conducted an empirical analysis to explore the impact of green finance on the development of the non-hydro renewable energy industry. We found the following: (1) Nationally, green finance promoted the development of the non-hydro renewable energy industry. (2) The mechanism test results show that green finance promoted the development of the non-hydro renewable energy industry by improving the level of scientific and technological research as well as reducing the corporate financing cost. (3) Regionally, green finance could significantly promote the development of the non-hydro renewable energy industry in energy-rich regions, while the impact was not significant in energy-poor regions. (4) Green finance significantly promoted the development of the non-hydro renewable energy industry in the inland region, while the impact was not significant in the coastal region. (5) Green finance promoted the development of wind power generation more than it did photovoltaic generation. Based on the findings, the non-hydro renewable energy industry in various regions should be developed according to local conditions, giving full play to the promotional role of green finance.

The Empirical Study on the Impact of Digital Inclusive Financial Development on Rural Residents' Income

At present, the level of Internet technology is constantly improving, and digital inclusive finance has gradually become the mainstream model of financial development, which has an important impact on the rural economy. This paper selects the provincial panel data of China from 2011 to 2019 as the research sample, and empirically analyzes the impact of digital inclusive finance development on rural residents' income. The study finds that there is a positive correlation between digital inclusive finance and rural residents' income. At the same time, traditional financial competition plays a positive role in regulating the relationship between digital inclusive finance and rural residents' income.

The Impact of Digital Economy Development on China's Industrial Structure Upgrading—An Empirical Analysis Based on Provincial Panel Data

On the basis of theoretical analysis, this paper measures the upgrading level of industrial structure from three dimensions: the speed of industrial transformation, the advanced level of industrial structure and the rationalization level of industrial structure, and uses China's provincial panel data from 2011 to 2020 to explore the effect and mechanism of digital economy development on the upgrading of industrial structure. The results show that the development of digital economy can significantly promote the upgrading of China's industrial structure, and this effect is the most significant in the central region; The level of regional innovation is an important transmission path of the development effect of digital economy.

Will artificial intelligence make energy cleaner? Evidence of nonlinearity

Energy plays a vital part in stimulating economic progress, and the shift towards a cleaner energy system is highly significant for ensuring the sustainable development of the economy. China's energy structure urgently needs to be transitioned. The fast advancement and implementation of artificial intelligence (AI) has provided a new and important tool for promoting the transition of energy structure. So, what is the relationship between the application of artificial intelligence and the transition of the energy structure? This research introduces artificial intelligence into the energy sector, focusing on the relationship between artificial intelligence and energy transition. Since nonlinear models are better able to study the complex effects and phase differences of artificial intelligence. Using China's provincial panel data spanning from 2006 to 2019, this study employs nonlinear modeling to explore the stage differences in the process of AI in facilitating energy structure transformation. This paper derives the following findings based on empirical research. First, there is a U-shaped relationship between artificial intelligence and the transition of energy structure. Specifically, before the inflection point, the initial application of artificial intelligence, artificial intelligence may adversely impact energy transition. When the inflection point is passed, AI will help facilitate the energy transition. Second, the U-shaped relationship between AI and energy transition is more pronounced in coastal and non-resource-based regions. Third, energy intensity, government investment in science and technology, and informatization will moderate the U-shaped relationship between artificial intelligence and energy transition, changing the steepness of the original U-shaped relationship and even reversing it. Hence, it is imperative to effectively utilize the technological benefits of artificial intelligence through the development patterns and distinctive features of different regions, thereby facilitating the smooth transition of the energy structure.

Can smart energy alleviate energy poverty in China? –Empirical evidence using synthetic control methods

Smart energy plays an important role in alleviating energy poverty in China in the context of the new technological revolution and industrial change. This paper uses China's smart pilot policy as a quasi-natural experiment, employing China's provincial panel data from 2011 to 2022, measuring energy poverty indices based on a projection pursuit evaluation model, and conducting a quasi-natural experiment using a synthetic control method to assess the effect of smart energy on energy poverty and specific mechanisms of action. The study found that smart energy has a specific and significant impact on energy poverty, but the effect differs in different regions depending on the construction cycle and energy endowment. In the mechanism test, smart energy significantly alleviates energy poverty through the mechanisms of improving energy supply capacity, improving energy payment capacity, and improving energy cleanliness. The results of the study provide empirical references for regional solutions to energy poverty and the planning of smart energy construction.

"Machine replacement" or "job creation": How does artificial intelligence impact employment patterns in China's manufacturing industry?

Artificial intelligence (AI), as an important engine for promoting high-quality economic development, should not be overlooked in terms of its impact on the employment of the labor force while promoting the digital and intelligent transformation of industries. In the face of the complex international environment and non-systemic shocks, it is of great significance to explore whether it is "machine replacement" or "job creation" in the process of the integration of AI and industry, as well as the impact of technological progress on the employment pattern of the labor force, in order to promote the economic development, respond to and solve the employment problem. It is of great significance to promote economic development and cope with and solve the employment problem. Based on the task model, this paper analyses the mechanism of the impact of AI on the employment pattern of manufacturing industry. Meanwhile, based on the provincial panel data of China's manufacturing industry from 2011 to 2020, it empirically examines the impact of AI on the total employment, employment structure and employment quality of the labor force, and analyses the multiple responses of AI on the employment pattern of the manufacturing industry. The study shows that: Firstly, the level of development of AI and the total amount of employment is a positive U-shaped relationship, the short term is dominated by the substitution effect, and the long term is dominated by the creation effect; Secondly, with regard to the employment structure, low-skilled labor is more likely to be replaced. The financial, accommodation and catering industries are relatively less affected by the spillover effects of the manufacturing industry; Third, with regard to the employment quality, the gap between urban and rural incomes has eased, with per capita net income of rural residents rising to a higher degree than per capita disposable income of urban residents. Thus, in order to further address the impact of AI on the employment patterns of the labor force, the level of AI development should be increased while expanding employment channels, paying attention to labor force skills training, reinforcing the leading role of developed regions, and accelerating regional integration and urban-rural integration, so as to share the dividends of technological progress.

Digital Inclusive Finance, Household Leverage Ratio and Economic Growth

In this paper, from 2011 to 2020 part of the provincial panel data in China as a research sample, using the system GMM model discusses the digital inclusive finance, residents leverage and the relationship between the economic growth. Through the research found: digital universal financial and economic growth between a "U" type of nonlinear relationship, residents between leverage and economic growth presents a "inverted U" nonlinear relationship. In the background of the rapid development of digital informatization, it is necessary to strengthen digital financial supervision, strictly control the leverage of the household sector and stabilize the expectations of the real estate market, coordinate the development of digital finance in the region, and promote steady economic growth.

The impact of digital financial inclusion on China's energy consumption: does economic decentralization matter?

Based on China's provincial panel data from 2011 to 2020, this paper empirically analyzes the impact of digital financial inclusion(DFI) on regional energy consumption(ECI) using two-way fixed effects model, panel threshold effects model and instrumental variables regression. The results show that, firstly, DFI`s development has an obvious inhibitory effect on the intensity of regional energy consumption. Meanwhile, the heterogeneity analysis finds that there are obvious regional differences, differences in the degree of financial agglomeration and differences in their own dimensions in the inhibitory effect of DFI on regional energy consumption. Specifically, the energy-saving effect of digital finance is more obvious in the western region of China, in regions with a lower degree of financial agglomeration, and the strongest inhibitory effect is the breadth of digital inclusion coverage. In addition, the threshold effect analysis shows that the energy-saving effect of DFI not only increases with DFI`s development, but also exists in a non-linear pattern of significant "marginal increment" as the degree of economic decentralization increases. To this end, China should make greater efforts to develop DFI and optimize its industrial structure; formulate differentiated development policies that take into account the resource endowment, industrial structure and technological level of each region; and improve its macroeconomic governance system by taking into account the level of DFI`s development in the region, as well as the power of financial decision-making and financial management..

Does business environment optimization improve carbon emission efficiency? Evidence from provincial panel data in China.

Previous research has yielded mixed conclusions regarding whether business environment (BE) optimization can enhance carbon emission efficiency (CEE). This study delves into the impact of the BE on CEE using panel data from 30 provinces in China, employing fixed effect, quantile, and mediated effect models. It innovates in three key areas: research perspective, mechanism of action, and heterogeneity analysis. The research found that the BE optimization enhances CEE. Meanwhile, the influence of the BE on CEE exhibits marginal decreasing characteristics. The mechanism analysis reveals that the BE enhances CEE through the industrial structure optimization effect and the progress of green technology, while it diminishes efficiency through the energy rebound effect. Heterogeneity analysis indicates that BE optimization has a stronger impact on improving CEE in provinces with robust government governance, younger governors, and highly educated officials. The policy implication suggests that local governments should continually optimize the BE, enhance government governance capacity, and prioritize the appointment of young and highly educated officials.

Fiscal agricultural expenditures' impact on sustainable agricultural economic development: Dynamic marginal effects and impact mechanism.

Sustainable agricultural economic development is the core task for achieving the objective of rural revitalization strategy in China, which cannot be separated from the support and guidance of fiscal policy, and agricultural industry integration is a key path for the fiscal promotion of sustainable agricultural economic development. This paper systematically examines the interaction mechanism between fiscal agricultural expenditures and sustainable agricultural economic development by using 31 provincial panel data in China from 2008 to 2020 and adopting a two-way fixed effect model, a panel quantile model, and a mediating effect model, respectively. The results show that the impact of fiscal agricultural expenditures on sustainable agricultural economic development is significantly positive, and appears a dynamic increasing trend with the agricultural development stage upgrading. Moreover, heterogeneity analysis shows that the effect of fiscal agricultural expenditures is more obvious for the samples in the central region and with a high share of primary industry. Further, a mediating effect test finds that agricultural industry integration plays a mediating mechanism between fiscal agricultural expenditures and sustainable agricultural economic development. Therefore, this paper proposes constructing a long-term investment mechanism for fiscal agricultural expenditures, formulating differentiated fiscal support policies for agriculture, and prioritizing support for agricultural industry integration, which provides theoretical support and policy inspiration for promoting sustainable agricultural economic development.

Investigating the unparalleled effects of economic growth and high-quality economic development on energy insecurity in China: A provincial perspective.

China has changed its focus from traditional high-speed economic growth to high-quality economic development (HQED) and the implementation of environmentally friendly practices. This transition can have parallel or unparallel impacts on energy insecurity (EIS). In this regards, HQED, inter Alia, is crucial in mitigating EIS and combating the energy crisis. Our study explores the impact of economic growth (EG) and HQED on EIS using the provincial panel data of China for the period 2011-2017. From the perspective of comparative analysis, the results reveal that HQED reduces EIS while EG increases it. The robustness checks indicate that industrial structure (IS) has a negative impact on EIS, whereas industrial structure upgrading (ISU) and green innovation (GI) have a positive influence. This implies that IS contributes to an increase in EIS, whereas ISU and GI result in a decrease in EIS. In addition, the analysis reveals that digital financial inclusion (DFI) exhibits a significant positive relation with EIS, albeit occasionally a negative but insignificant link. The policy implication is that the government should stimulate policies to promote HQED which reduces the EIS.

Digital inclusive finance, R&D investment, and green technology innovation nexus.

Green technology innovation is an effective means to achieve high-quality economic development. The impact and mechanism of digital financial inclusion on regional green technology innovation are tested using a threshold regression model and the panel fixed effect model, based on China's provincial Panel data (provincial Panel data are regional annual report data) from 2011 to 2020. According to the study, there is a direct link between local green technology innovation and digital financial inclusion. This paper highlights the differences in their influence by location and usage depth and underscores the necessity of government engagement to improve these characteristics. Information infrastructure needs to be strengthened, especially in areas with gaps. Greater investment in research and development (R&D) indirectly supports regional green technology innovation since it is impacted by digital financial inclusion. Interestingly, a threshold effect becomes most noticeable when digital financial inclusion rises above a particular threshold. Promoting utilizing digital financial inclusion to lessen regional differences in green technology innovation is important.

Exploring the moderating role of digital finance in the two-way foreign direct investment and green technology innovation nexus: an empirical evidence from China.

Based on the provincial panel data of China from 2011 to 2020, this paper explores the relationship between two-way FDI and green technology innovation and examines the moderating role of digital finance in the impact of two-way FDI on green technology innovation. The results show that (1) two-way FDI can significantly enhance the level of green technology innovation. (2) Digital finance plays a moderating effect in the process of two-way FDI to enhance the level of green technology innovation. The conclusion is still robust by replacing the dependent variable, eliminating special samples and shrinking the tail. (3) The results of sub-dimensional analysis show that the three sub-dimensions indicators of the digital finance also have a positive moderating effect on the relationship between two-way FDI and green technology innovation. (4) The results of sub-regional regression show that the moderating effect in the central and western regions is greater than that in the eastern region. The results of the study can provide reference for governments to formulate policies about digital finance, which is conducive to achieve high-quality opening-up and realize green development.