Provincial Panel Data In China Research Articles

Impact of fiscal poverty alleviation funds on poverty mitigation and economic expansion: evidence from provincial panel data in China

PurposeSince 2013, China has implemented targeted poverty alleviation policies, successfully eradicating absolute poverty nationwide by 2021. The fiscal funds allocated for poverty alleviation have significantly contributed to reducing poverty in impoverished areas. However, to date, there has been a lack of scholarly research specifically examining the effects of these fiscal poverty alleviation funds on both poverty reduction and economic growth. This study aims to address two key questions: What role do fiscal poverty alleviation funds play in reducing poverty? Additionally, do these funds contribute to economic growth?Design/methodology/approachProvincial panel data in China from 2010 to 2020 are used to test the impact of fiscal poverty alleviation funds on poverty reduction and economic growth. The empirical study of this paper primarily employs panel data within difference and two-stage least squares (2SLS) estimation for causal identification.FindingsPoverty alleviation funds positively influence China’s economic growth and significantly reduce the rural poverty rate. During the sample period, the contribution of poverty alleviation funds to economic growth reached 7.3%, and the contribution to the reduction of the poverty incidence rate was 8.4%.Originality/valueThe key contribution of this study lies in its novel approach of using empirical methods to probe the impacts of fiscal poverty alleviation funds on provincial economic growth. Additionally, this paper also empirically tests the mechanisms by which fiscal poverty alleviation funds promote growth and reduce poverty, mainly by improving the infrastructure development conditions in impoverished areas.

Heterogeneous Environmental Regulation, Foreign Direct Investment and Green Total Factor Productivity: An Empirical Study Based on Provincial Panel Data of China

Heterogeneous Environmental Regulation, Foreign Direct Investment and Green Total Factor Productivity: An Empirical Study Based on Provincial Panel Data of China

How Does the Digital Economy Improve Energy Eco-Efficiency? Evidence from Provincial Panel Data in China

How Does the Digital Economy Improve Energy Eco-Efficiency? Evidence from Provincial Panel Data in China

Administration or marketization: Environmental regulation, marketization and agricultural green total factor productivity

The mature market can effectively reflect the value of green agricultural products, but the market in developing countries is developing slowly, so how to implement administrative environmental policies while cultivating the market has become the key to the green development of agriculture. In this paper, the government and the market are discussed under the common goal of agricultural green development. Based on the provincial panel data of China, taking agricultural green total factor productivity (AGTFP) as a breakthrough point, the relationship between environmental regulation tools, marketization processes and agricultural green development, specific applicable conditions and transmission mechanisms are explored, and further subdivided into factor and product markets to verify their correlation with AGTFP. The results show that environmental regulation and marketization processes and AGTFP are positively correlated. The former can establish a positive relationship with AGTFP through resource reallocation and technological innovation, and the latter can do so by improving the level of information and land transfer and perfecting infrastructure construction. These findings will provide new ideas for developing countries similar to China's agricultural development and enlighten developing countries pay full attention to and cultivate the market while formulating appropriate environmental regulation policies. In addition, they also need to coordinate the development of technology and organizations.

Agricultural Service Trade and Green Development: A Perspective Based on China’s Agricultural Total Factor Productivity

Agricultural service trade is closely related to the promotion of the sustainable development of China’s agriculture and is necessary for comprehensive rural revitalization. To clarify the relationship between trade in agricultural services and agricultural green total factor productivity (AGTFP) from a macroscopic perspective and then analyze the acting path and threshold effect, can provide an important reference for improving agriculture’s green level and realizing the sustainable development of agriculture. This paper uses the provincial panel data of China from 2007 to 2022 to measure agricultural green total factor productivity (AGTFP) using the SBM-GML model and explores the impact of agricultural service trade on AGTFP with the help of the fixed effect model, the mediation effect model, and the threshold model. According to this study: (1) Trade in agricultural services can significantly increase AGTFP. (2) Mechanism analysis shows that trade in agricultural services can promote AGTFP through promoting industrial agglomeration, enhancing technological innovation, and improving factor allocation. (3) Heterogeneity analysis shows that trade in agricultural services has a more obvious role in promoting AGTFP in the eastern region and the main grain marketing area. (4) The threshold effect finds that the promotion of agricultural services trade on AGTFP will gradually increase as the level of government support rises. Therefore, China should actively promote the development of agricultural service trade, implement the concept of sustainable development, improve the level of government support, and promote the improvement in agricultural total factor productivity and sustainable development.

Has R&D contributed to productivity growth in China? The role of basic, applied and experimental R&D

Since the early 2000s, R&D expenditure in China has increased rapidly, with the country having the third highest R&D expenditure, next only to the OECD and USA, and having surpassed Japan since 2009. Furthermore, policies in China in recent years have emphasized the need to conduct more basic and applied R&D in order to overcome technological bottlenecks and risks in access to advanced technologies when faced with international geopolitical tension. However, in the meantime, the trend in measured total factor productivity (TFP) in China has been downward since 2010. A lack of TFP growth despite the significant investment in R&D raises the question of the impact of R&D expenditure on productivity growth in China. Therefore, this study aims to investigate this issue and estimate the effects of three types of R&D stocks (basic, applied and experimental R&D stock) on TFP in China, using newly constructed provincial panel data in China from 1998 to 2018. Various empirical models and control variables are adopted to take into account non-stationarity and spatial spill-over of the provincial R&D stock values over time. The analysis results are robust to various specifications and reveal a significant positive effect of overall R&D and experimental R&D on TFP in China, but basic R&D exerts no significant results, and the effects of applied R&D are mixed across specifications. Further analyses using the 1991–2018 national data demonstrated largely consistent results. These results suggest that experimental R&D has been crucial for enhancing TFP growth in China during the decades investigated, but evidence of basic and applied R&D driving TFP growth in China is lacking.

Fostering green technology innovation with green credit: Evidence from spatial quantile approach

Green technology is an important path to achieve low-carbon development, and green credit provides financial support for green technology innovation. Existing literature often fails to pay attention to the important role of spatial factors and outliers in green technology innovation. Based on 2005–2022 provincial panel data in China, this paper uses a novel spatial lag quantile model to explore the impact of green credit on green technology innovation and its impact mechanism. The empirical results indicate that green credit exerts a greater positive impact on green technology in the provinces with moderate technical level. Technological innovation has the characteristic of spatial spillover. The spatial spillover of technology contributes more to green technology innovation in the provinces with low- and medium-tech level. This result has been proven even after robustness test of the changes in sample units, and the replacement of core variable values. Further mechanistic analysis demonstrates that banking market structure and enterprise R&D investment both produces the greater impact on green technology innovation in the low-tech provinces such as Qinghai, Ningxia, and Hainan. This article provides policy reference for local governments to formulate green finance policies and promote carbon neutrality strategies.

The effects of weather factors on road traffic casualties: Analysis on provincial panel data of China from 2006 to 2021

IntroductionRoad traffic injuries stands as a major concern globally, as they result in significant loss of life, economic impact, and erode trust in government and societal safety. The influence of weather on road traffic safety is undeniable, impacting road conditions, individuals, and vehicles. However, the specific influence of weather on road traffic casualties has seldom been explored. MethodThis study assesses the effect of weather factors on road traffic casualties in China from 2006 to 2021. Vector error correction models (VECM) were utilized to determine the Granger causality between weather factors and covariates. Furthermore, panel autoregressive distribution lag models (ARDL) were applied to quantify the association between weather factors and road traffic casualties. ResultsThe findings indicate that rainfall and temperature exert a short-term negative impact on casualty risk, which intriguingly becomes positive in the long term. A standout discovery is the significant role of health investments, which are shown to reduce casualty numbers in both the short and long-terms. In the long run, the gross domestic product significantly enhances casualties, while expressway mileage notably decreases them. ConclusionsThese results demonstrate the significant influence of weather on road traffic casualties and highlight the critical roles played by factors such as gross domestic product, health investment, and expressway mileage. The evidence presented in the study underscores the urgent need for more effective strategies to mitigate road traffic casualties. Thus, some effective measures are proposed to reduce road traffic casualties. This study is conducive to the improvement of traffic in severe weather in China and provides guidance for traffic management departments.

The Impact Mechanism and Effect Evaluation of Digital Economy Development on Regional Carbon Emission Reduction: Evidence from Provincial Panel Data in China

The Impact Mechanism and Effect Evaluation of Digital Economy Development on Regional Carbon Emission Reduction: Evidence from Provincial Panel Data in China

Big data development and agricultural carbon emissions: Exacerbation or suppression? A quasi-natural experiment based on the establishment of the National Big Data Comprehensive Pilot Zone

As a strategic resource, big data has become a key force affecting carbon emission reduction in agriculture. However, its impacts remain controversial, and relevant empirical evidence remains to be explored. Based on quasi-natural experimental analysis, this study explored the impact and mechanism of the construction of the National Big Data Comprehensive Pilot Zone (NBDCPZ) on agricultural carbon emissions (ACE) in China and adopted a difference-in-difference (DID) model using China's provincial panel data from 2003 to 2020. The results showed that the ACE in the NBDCPZ establishment area was significantly reduced by 11.91%, a finding that remained robust following the parallel trend test and the placebo test, among others. Mechanism analysis showed that the ACE was reduced through industrial upgrading and technological innovation. Heterogeneity analysis showed that more pronounced policy gains were achieved in China's central-eastern regions as well as in non-major grain-producing areas compared to western and major grain-producing areas. This research provided supporting evidence for the prospect of big data application in ACE and provided useful guidance regarding the promotion of green and sustainable agricultural development.

Impact of urban-rural development and its industrial elements on regional economic growth: An analysis based on provincial panel data in China

Urban-rural development is an important driving force for regional economic growth. The existing researches have studied this issue from various perspectives, but they ignore the impact of big data on the economy. In the post pandemic era, big data, as an emerging production factor, has a significant indicative effect in promoting urban-rural economic recovery and fostering new business forms. Therefore, fully considering the factor of big data can help reveal its impact mechanism on urban-rural economic growth in the post-epidemic period. Based on the data of 30 provinces and cities in China, this paper introduced big data on the basis of traditional models and constructed a multi-dimensional factor indicator system. At the same time, the panel regression model was established by using unit root test, Hausman test and precision test. Through benchmark regression and heterogeneity analysis, the impact of urban-rural development factors on economic growth was discussed. The results showed that the panel model passed all tests, and its regression error was stable below 5 %. Transportation, technology, and the three major industries can all promote positive economic growth, with a significance of 1 %. The three industries' contribution to economic growth ranks the third, second and first industries in order. In addition, the good ecological environment contributes to the benign economic growth during the study period. A 1 % increase in forest cover would drive economic growth by 0.215 %. But the impact of public's attention on the overall economy was an indirect effect manifested through its physical industries.The regional heterogeneity indicated that each element had different effects on economic development in eastern, central and western regions. Based on its results, this paper proposed suggestions for each region. In addition, this study found that the Internet attention reflected by big data did not directly drive economic growth, but affected economic growth through indirect channels such as information flow and resource allocation of real industries. This study provided data support for the existing theoretical review, and provided policy reference for the rational planning and industrial layout of China's regional economy.

Can the digital economy development limit the size of the informal economy? A nonlinear analysis based on China's provincial panel data

This paper investigates whether and how digital economy (especially digital platforms and digital finance) restrains the informal economic activities in China measured by the MIMIC (multiple indicators multiple causes) model. Using Chinese provincial panel data from 1995 to 2020, we find that the average size of China's provincial informal economy displays a five-stage fluctuation, ranging from 13.63 % to 17.53 %. More importantly, we uncover a robust “inverted U-shaped” nonlinear relationship between the digital platform development and the informal economy, with a turning point of 0.4189. Initially, the development of digital platforms increases informal economic activities by disrupting traditional sectors, causing new types of tax evasion, challenging regulators and raising digital crime. However, beyond a certain threshold, digital platforms can overcome these problems through more job creations and improved regulation. Meanwhile, the digital financial development is proved to have a negative impact on the informal economy because it can offer much more advantages in addressing informality such as making payments transparent, easing credit constraints, raising total income, helping governments reach people and businesses. Our study provides convincing evidence and valuable advice for policymakers when developing digital economy to curb the informal economy.

Regional differences and dynamic evolution in the resilience of public-private partnership projects: Evidence from the China

In the context of high-quality development and in the face of uncertainties and risks from economic, social and political sources, we aim to understand the resilience of public-private partnership projects in megaprojects, and to improve their ability to effectively manage adversity and optimize resource allocation. And by utilizing these insights and adopting proactive strategies, we enable stakeholders to navigate uncertainty more effectively and contribute effectively to high-quality development. Based on 2005–2020 provincial panel data in China, we explore the regional differences, dynamic evolution and convergence in the resilience of public-private partnership projects using an integrated approach combining entropy weight method, Dagum Gini coefficient, kernel density estimation and spatial econometric modeling. The results of the study show that: The resilience of public-private partnership projects in the nationwide and in East, Central, West and Northeast is steadily increasing, with higher in the East and weaker in the West; The differences between the four regions show a gradual widening trend, but decrease towards the end of the study period, and was accompanied by trailing and polarization across the country and the regions; There is absolute β convergence in the resilience of public-private partnership projects across the country and in the four regions.

How Does Agricultural Green Transformation Improve Residents’ Health? Empirical Evidence from China

Promoting green and sustainable agriculture is of great significance for ensuring food security and addressing global challenges. Meanwhile, health has increasingly become a global concern. Nutrition and health are the purpose of agricultural production. As two major global issues, how agriculture empowers human health has long been discussed. Based on the provincial panel data of China from 2003 to 2021, this paper studies the impact of agricultural green transformation (AGT) on residents’ health and explores its impact mechanism. The empirical results show that: (1) AGT in China has significantly reduced the average mortality rate and maternal mortality rate and significantly increased the average life expectancy, indicating that AGT in China has significantly improved the health level. The conclusions of robustness testing methods such as replacing AGT indicators and controlling endogeneity are still valid; and (2) The impact of AGT on residents’ health depends on the regional economic level, and there is a threshold effect. Compared with low-income areas, the positive effects of AGT in high-income areas on residents’ health are more pronounced; and (3) Agricultural carbon emissions play an intermediary effect between AGT and residents’ health, and AGT can improve residents’ health by reducing carbon emissions. The level of local education development plays a moderating role in the relationship between AGT and residents’ health. Agricultural policy implications include enhancing the ability to protect and utilize agricultural resources, promoting the green and low-carbon transformation of agriculture, and taking a more scientific and systematic approach towards the complex diversity of health risk factors.

A Study on the Evaluation and Determinants of Green Economic Efficiency: Empirical Evidence from Provincial Panel Data in China

In the past decades, China has continued to pursue the quantitative expansion of economic development at the expense of the environmental quality resulting in high environmental degradation. Hence, this study evaluates the economic efficiency under the constraints of energy and environment, as well as unravels the determinants of economic efficiency in 30 provinces in China during 2005 to 2019. It deploys the improved super-efficiency Slack-Based Measure (SBM) model and Tobit regression model. The statistical results show that economic growth efficiency displays a declining trend in recent years in China. However, there is a regional heterogeneity of green economic efficiency across the provinces, with the efficiency values exhibiting a clear downward stepwise distribution from the eastern to western region. Moreover, the regression results indicate that energy consumption and GDP growth have significant adverse effects on green economic efficiency. This implies that China’s economic growth is excessively reliant on energy consumption which exceeds the environmental carrying capacity, causing a decline in green economic efficiency. The study of China’s economic efficiency is fundamental because it explores the potential space for sustainable growth as well as provides clarity on the current status and prospects of economic development with a view to avoiding economic stagnation and providing policy support for sustainable economic development. Therefore, policy makers should proactively take measures to improve energy efficiency and shift economic development targets from quantitative expansion to qualitative improvement that facilitates green economic efficiency. Based on the empirical results of the different regions, this study also provides some respective policy recommendations.

Study on the Impact of China's Digital Economy on Agricultural Carbon Emissions

<p _msthash="770" _msttexthash="18511649104"><span lang="EN-US" style="font-size:12.0pt"><span style="font-family:"Times New Roman",serif">Under the background of China's “double carbon” goal, digital economy has become an important way to reduce carbon emissions in China. This paper utilizes the provincial panel data of China from 2012 to 2022, introduces the perspective of agricultural science and technology innovation, empirically examines the impact mechanism of regional digital economy development on agricultural carbon emission through regression analysis model, and portrays the dynamic effect and spillover effect of digital economy development on agricultural carbon emission from both time and space dimensions. The empirical results show that: digital economic development will have a significant inhibitory effect on the intensity of agricultural carbon emissions, and the inhibitory effect will be indirectly affected through the path of agricultural scientific and technological innovation; the impact of digital economic development on the intensity of agricultural carbon emissions there is a time lag effect, the current stage of the digital economic development will still have a strong inhibitory effect on the intensity of agricultural carbon emissions in the future; Digital economic development has a spatial spillover effect, i.e., the development of the regional digital economy will have an inhibitory effect on the intensity of agricultural carbon emissions in neighboring provinces. Based on this, it is proposed to strengthen the construction of digital infrastructure, promote the coordinated development of the digital economy in the region, and formulate policies to reduce carbon emissions in agriculture.</span></span></p>

Can the energy transition drive economic development? Empirical analysis of China's provincial panel data

With the rise of global environmental awareness and increasing concern about the impacts of climate change, the energy transition has become a pressing issue worldwide. However, in existing studies, the conclusions on the impact of the energy transition on economic development are not consistent. Given these discrepancies and the complexity of the influencing factors in the process of energy transition, the study of the relationship between energy transition and economic development has important theoretical and practical significance for energy policy and economic planning in China and globally. By utilizing provincial panel data from 2000 to 2019 in China and constructing an econometric model, this study empirically examines the influence of the energy transition on economic development. The results show that the energy transition is beneficial for China's economic development. Furthermore, regional heterogeneity significantly stimulates economic development through the upgrading of industrial structure, technological innovation, and environmental regulation. This study provides important empirical evidence and a quantitative basis for actively and steadily promoting the energy transition while considering economic growth.

Environmental Regulation, Industrial Structure and Low-Carbon Development

<p>In this paper, the provincial panel data of china from the year 2006 to 2019 are used to analyze the association among environmental regulations, industrial structure od industries and low-carbon development. The results show that regional industrial CO2 emissions in China's east, center, and west were greatly decreased by environmental restrictions. The most significant deterrent to carbon emissions in the central region was, notably, environmental regulatory measures. By encouraging improvements in industrial structure and increasing its efficiency, the study shows that these rules helped to lower industrial carbon emissions. The examination of the sub-sample mechanism reveals significant regional variations: an advanced industrial structure was a major force behind low-carbon development in the western region, whereas high-efficiency industrial structures were critical in the eastern region. Through structural changes in the business, environmental restrictions can effectively promote low-carbon economic growth, as this study highlights. Across a range of control factors, environmental regulation considerably decreased regional industrial carbon emissions by about 0.196 to 0.033. Trade openness, urbanization, and the development of human capital all helped to reduce carbon emissions by roughly 1.057 to 4.104. The efficacy of regulatory tools was verified by endogeneity tests, which yielded coefficients varying between -0.891 and -0.156 for distinct factors. The results offering actual proof of the varying effects of environmental laws in various geographical areas and highlight the necessity of specialized policy strategies to promote sustainable development.</p>

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

How green investment significantly relieves resource curse? A new perspective from fiscal decentralization

Harsh weather, climate change, and pandemics have wreaked havoc on global economies. Evidently, green investment has become an imperative tool for realizing sustainable economic development in response to these calamities. This article adopts the regression discontinuity design (RDD) as well as stage heterogeneity influential mechanism analysis to study the nonlinear form and potential mechanisms of green investment in mitigating the ecological resource curse, based on provincial panel data of China from 2006 to 2020. The study findings indicate an inverted U-shaped curve in the linkage between green investment and pollution emission, with a turning point at 4.98. Moreover, the analysis of heterogeneity mechanisms reflects that local fiscal decentralization and resource dependence initially impede the effect of green investment on mitigating the ecological resource curse. Nonetheless, as green investment matures, the curse is primarily alleviated through substantive innovation in eco-friendly practices. By investigating the regional and resource endowment heterogeneity, it is obvious that inland and non-resource-based regions are more inclined to benefit from green investment in alleviating the environmental resource curse. Thus, this paper proposes certain policy recommendations tailored to regional characteristics, such as fostering a greener consumption mindset and minimizing industry reliance in resource-based zones.