Economic Development In China Research Articles

A study on the dynamic relationship between intellectual property rights and green economy development in China.

A study on the dynamic relationship between intellectual property rights and green economy development in China.

Distributional effects of expressway access on rural entrepreneurial activities in China

Transportation infrastructure development, such as expressways, could impact economic development in local and neighboring regions differently. However, there is limited evidence of these impacts on rural and developing areas. Here, we use Heyuan, a rural region in China, as the case to examine the effects of expressway access on entrepreneurial activity. Using detailed township-level panel data from 2004 to 2016 and a multiple-period DID model with spatial effects, we find that opening entrances and exits significantly promotes entrepreneurial activities in local towns but suppress them in adjacent towns. Furthermore, we find that the development of expressways leads to a greater concentration of firms in the provincial centers of towns with better economic development. The development of expressways has had a significant boost on tertiary industries. This study shows that the construction of highways attracts entrepreneurial activities to regions with better conditions, and this maximizes economic efficiency but at the expense of creating regional economic imbalances. Therefore, this model may be the primary model of China's economic development in the future.

Is China’s Rural Revitalization Good Enough? Evidence from Spatial Agglomeration and Cluster Analysis

Rural revitalization is an indispensable part of sustainable economic development in China. This paper proposes a new index to capture and assess rural revitalization (RR) in terms of five dimensions, namely, thriving businesses, pleasant living environments, social etiquette and civility, effective governance, and prosperity. Using spatial and cluster analyses on annual data of 31 provinces, autonomous regions, and municipalities of China from 2010 to 2020, we find that: (1) China’s RR is growing year by year during the sample period, yet the overall level of RR is still low, with a national average of merely 0.47 in 2020, and that of the top province Jiangsu only 0.64; (2) The spatial distribution of RR in eastern provinces show high and high (HH) agglomeration, while that in northeastern and western provinces exhibit low and low (LL) agglomeration; and (3) The development level of RR is highly heterogeneous, suggesting that development disparities exist, and deserve the government’s attention. The study suggests some strategies for improving RR in China. In particular, the study sheds light on how to promote RR effectively for local governments to achieve sustainable economic development.

Effect of collective action on rural economic development in China: does labour outmigration matter?

ABSTRACT We examine the impact of collective action on rural economic development and the moderating and threshold effects of labour outmigration using farm household survey data from rural China. The results indicate that collective action can enhance rural economic development; however, its efficacy may decrease in highly populated villages. Mechanisms for rural economic development assessments can enhance the effectiveness of collective action. Labour outmigration negatively moderates the relationship between collective action and rural economic development, suppressing the facilitating effect of collective action on rural economic development. Collective action significantly boosts rural economic development when the labour outmigration level is below a certain threshold. However, if it is above this threshold, the effect becomes insignificant. This study highlights the positive role of collective action in rural economic development and the critical effect of labour migration on this dynamic.

Analysis of Influencing Factors of Economic Development and Growth

This article is based on the background of economic development and economic development is an important factor for a country or region to achieve prosperity and sustained growth. With the advancement of globalization and the rapid development of science and technology, economic development has become one of the top priorities for many countries. and reviews 12 literature on the economic development of China and other countries. It provides detailed reviews and suggestions on the ARDL model, multiple linear review model, spatial analysis method, and DSDM model to analyze economic growth factors, economic growth factors in some regions of China and Europe, and economic growth factors in fisheries, coal industry, tertiary industry, and tourism, The conclusion was drawn that Chinas overall economic development prospects are good and there are great opportunities, and the economic specialization of the European Union cannot ensure economic growth. Suggestions were given for the economic development of some industries, environmental economy, and green economy in China.

Portfolio Validity Test in the Chinese Market

Modern portfolio theory is one of the most classic theories in financial investment theory. It was first released by a famous economist, Markowitz. As the most important critical model in investment science, it provides investors with scientific investment allocation methods, which are favored by many investors. It has been widely used and researched in the world. Modern portfolio theory analyses the historical returns of investment objects and guides future investment behavior. However, it is still controversial whether this theory is reasonable and adequate in Chinas stock market. China's stock market is more susceptible to fluctuations than those in Europe and the US, and many of these factors stem from China's strategic policies in various areas. Since the end of the epidemic, China's economic development has also slowed down. In this context, this paper will construct the maximum Sharpe ratio strategy, market capitalization strategy, and average weight strategy. Through the performance evaluation indexes of these three strategies' performance comparison, this paper will verify whether the portfolio strategy is real and effective in China's stock market and can bring more than significant market returns to investors.

New energy vehicle technology research - Charging technology

In recent years, Chinas economic development is becoming more and more rapid, leading to the increasingly serious pollution emission problem of traditional fuel vehicles. In order to solve the environmental problems, the transformation of automobiles has become an urgent problem. At the present stage, electric vehicles are also widely concerned by all sectors of society because of their low carbon emissions, energy saving and low use cost. With the rapid growth of electric vehicle sales, the demand for charging piles is rising, and the mainstream charging facilities for new energy vehicles are still in short supply. Therefore, we need to focus on efficient wireless charging to solve the major problems in the current electric vehicle industry. This paper analyzes the wireless dynamic energy transmission technology, extending the service life of the battery, how to reduce the cost, the optimization of coil parameters design, the offset of transmission coil and receiving coil, foreign body detection and overheating problems.

Estimation of industry-level basic digital capital services in China: A variable depreciation rate estimation method based on DSGE

Accurately measuring the input of digital capital is of great significance for understanding the development pattern of China's digital economy, nurturing new quality productivity, and achieving high-quality development. However, existing representative studies often assume a constant depreciation rate for capital goods, which does not align with reality. In this paper, we address this limitation by introducing dynamic stochastic general equilibrium (DSGE) model that estimates the variable depreciation rate for each capital good. By setting the depreciation rate as a function of capital maintenance expenditures and utilization rates, we provide a more realistic approach. The empirical results obtained through Monte Carlo simulation demonstrate that the trend of depreciation rates for all types of capital goods aligns with China's economic development. Additionally, we find that investment-specific technology shock plays a significant role in affecting changes in the depreciation rates of capital goods. This shock leads to an increase in capital utilization rates and a decrease in capital maintenance expenditures, resulting in higher depreciation rates. Notably, the depreciation rate of basic digital capital is more sensitive to exogenous shock compared to non-digital capital. Furthermore, the paper estimates the basic digital capital service of 19 industries in China from 1981 to 2020. The results indicate a steady increase in the services provided by basic digital capital, with particularly rapid growth observed in industries such as information transmission, software and information technology services, and the financial sector. When comparing our estimation results with those of representative literature, we find that the national-level productive capital stock and the basic digital capital services estimated using our methodology closely align with existing literature. This validation confirms the effectiveness of our methodology and the reliability of the estimated industry-level basic digital capital services.

Does new-type infrastructure improve total factor carbon productivity? Experimental evidence from China

The implementation of new-type infrastructure plays a crucial role in driving low-carbon economic development in China and worldwide. This work employs fixed-effects model, mediated-effects model, spatial Durbin model, and meta-analysis to thoroughly examine the influence of new-type infrastructure on total factor carbon productivity using panel data of 274 Chinese cities spanning from 2011 to 2021. The findings indicate that: firstly, new-type infrastructure has a notable and beneficial impact on total factor carbon productivity, but there is heterogeneity in resource endowment, city scale, and policy intensity. New-type infrastructure can only promote total factor carbon productivity enhancement in non-resource cities and large cities. Under the influence of smart city policies, new-type infrastructure has a stronger effect on total factor carbon productivity enhancement. Secondly, digital finance and marketization are important ways for new-type infrastructure to improve total factor carbon productivity. Thirdly, via spatial spillover effect, new-type infrastructure may boost total factor carbon productivity not only in the local region but also in places that are spatially connected. Accordingly, this paper offers policy recommendations for the government to encourage the investment and development of new-type infrastructure to support total factor carbon productivity growth.

Little Brands, Big Profits? Effect of Agricultural Geographical Indicators on County-Level Economic Development in China

AGIs (agricultural geographical indicators) are effective quality signals that can improve market welfare, but few studies have investigated the impact of AGIs on economic development. To fill this gap, this paper explores the impact of AGIs on per capita GDP and its mechanisms, according to country-level data in China from 2000 to 2018. For every additional AGI in the country, GDP per capita increased by 0.2–0.4%. Our conclusion remained reliable after various robustness tests. These effects were more salient in western areas, the main grain-producing areas, and settled areas. AGIs related to aquatic environments, animal husbandry, and planting products promoted economic development most significantly. For these effects, encouraging an increase in agricultural value (improving the quantity and quality of products) and promoting the agglomeration of populations, capital, and enterprises in the agricultural sector were the main mechanisms.

Can green finance reduce carbon emission? A theoretical analysis and empirical evidence from China.

As an important way for China to achieve its dual-carbon goal, green finance has become the foundation for promoting high-quality economic development in China. In order to clarify the mechanism of green finance on carbon emissions, this paper puts green finance into the economic model and deduces the relationship between green finance and carbon emission reduction. This paper is based on the panel data of 30 provinces in China (excluding Tibet, Hong Kong, Macao, and Taiwan) from 2008 to 2019, using the individual fixed effect model, dynamical model, mediator model, and SDM model to study the impact of green finance on carbon emissions and its impact path of upgrading of the industrial structure and the development of science and technology based on the measurement of the green finance development index of each province by the entropy method. The findings show that the development of green finance can reduce carbon emission significantly, which can be sustained until at least the third phase and generates spatial spillover effects; regional heterogeneity analysis finds that the development of green finance shows geographical discrepancies: compared with the eastern and western regions, the development of green finance in central region can reduce carbon emissions more significantly; not only can the development of green finance directly reduce carbon emission, but also through the upgrading of industrial structure and technological innovation. The research not only provides a new perspective and supplementary empirical evidence for understanding the carbon emission reduction effect of green finance, but also offers some useful references for green finance to contribute to carbon emission reduction.

Effectiveness of hierarchical medical system and economic growth: based on China's urban vs. rural health perspectives.

The hierarchical medical system is an important measure to promote equitable healthcare and sustain economic development. As the population's consumption level rises, the demand for healthcare services also increases. Based on urban and rural perspectives in China, this study aims to investigate the effectiveness of the hierarchical medical system and its relationship with economic development in China. The study analyses panel data collected from Chinese government authorities, covering the period from 2009 to 2022. According to China's regional development policy, China is divided into the following regions: Eastern, Middle, Western, and Northeastern. Urban and rural component factors were downscaled using principal component analysis (PCA). The factor score formula combined with Urban-rural disparity rate (ΔD) were utilized to construct models for evaluating the effectiveness of the hierarchical medical system from an urban-rural perspective. A Vector Autoregression model is then constructed to analyze the dynamic relationship between the effects of the hierarchical medical system and economic growth, and to predict potential future changes. Three principal factors were extracted. The contributions of the three principal factors were 38.132, 27.662, and 23.028%. In 2021, the hierarchical medical systems worked well in Henan (F = 47245.887), Shandong (F = 45999.640), and Guangdong (F = 42856.163). The Northeast (ΔDmax = 18.77%) and Eastern region (ΔDmax = 26.04%) had smaller disparities than the Middle (ΔDmax = 49.25%) and Western region (ΔDmax = 56.70%). Vector autoregression model reveals a long-term cointegration relationship between economic development and the healthcare burden for both urban and rural residents (βurban = 3.09, βrural = 3.66), as well as the number of individuals receiving health education (β = -0.3492). Both the Granger causality test and impulse response analysis validate the existence of a substantial time lag between the impact of the hierarchical medical system and economic growth. Residents in urban areas are more affected by economic factors, while those in rural areas are more influenced by time considerations. The urban rural disparity in the hierarchical medical system is associated with the level of economic development of the region. When formulating policies for economically relevant hierarchical medical systems, it is important to consider the impact of longer lags.

Development of Low-Carbon Finance Helps the Construction of China's Low-Carbon Financial Legal System

The massive consumption of coal, oil and other resources has led to a significant increase in greenhouse gas emissions and global warming, seriously threatening the ecological environment. Achieving low-carbon development has become a common goal pursued by all countries. On this basis, China has put forward the goals of carbon peaking by 2030 and carbon neutrality by 2060. The best way to solve this problem is to promote low-carbon finance. Low energy consumption and low pollution have become the core of green economic development, which reasonably improves the status quo of serious environmental pollution and promotes the realisation of high-quality development of the social economy. Since the 19th National Congress, China's economic development has shifted from high-speed growth to the development stage of high-quality growth, and this shift not only requires sustained and stable economic growth, but also emphasises the protection of the ecological environment and sustainable development. The development of low-carbon economy not only helps to reduce greenhouse gas emissions and protect the ecological environment, but also promotes the optimisation and upgrading of the economic structure, achieving a win-win situation for the economy and the environment. However, the healthy development of low-carbon economy needs strong institutional guarantee. In particular, the improvement of the low carbon financial legal system.

Exploring the spatially heterogeneous impact of digital financial inclusion on rural economic development in China using remote sensing data and the MGWR model

Exploring the spatially heterogeneous impact of digital financial inclusion on rural economic development in China using remote sensing data and the MGWR model

EXPLORING FACTORS INFLUENCING THE DIGITAL ECONOMY: UNCOVERING THE RELATIONSHIP STRUCTURE TO IMPROVE SUSTAINABILITY IN CHINA

Digital economy is a great route to promote the efficient utilization of natural resources and promote sustainability due to its high-tech, rapid growth, extensive penetration, deep integration and other characteristics. Existing study on the influencing factors of the digital economy is not deep enough and lacks the analysis on the relationship structure of factors influencing the digital economy, which is not conducive for an overall grasp of the digital economy. To correctly understand how to better develop the digital economy, this paper studies its influencing factors and the relationships between them. Based on the time-series data of China from 2002 to 2018, grey correlation analysis was applied to calculate the correlation between these influencing factors and the digital economy, and determine the major influencing factors of digital economy development in China. The Granger causality test and a review of existing research were used to judge the interrelationship of various factors. The interpretative structure model was utilized to determine the relationship structure of the main factors affecting the development of China’s digital economy. The results show that the number of digital talents, state of the technology market, and degree of digitalization are direct influencing factors of the digital economy. The results help to better understand the development of the digital economy and will enable the implementation of policies to improve towards more sustainable cities.

Scale or effectiveness? The nonlinear impact of talent agglomeration on high-quality economic development in China

Talent agglomeration serves as a vital pathway for achieving high-quality economic development. This paper, based on provincial panel data from China spanning 2011–2020, first analyses the impact of talent agglomeration on high-quality economic development from two dimensions: the talent agglomeration scale and effectiveness. Second, with innovation activity as a threshold variable, this paper explores the nonlinear impact of the talent agglomeration scale and effectiveness on economic efficiency improvement and economic structure optimization. This study finds that (1) the main driving force for high-quality economic development within the sample period comes from the talent agglomeration scale, while the promoting role of talent agglomeration effectiveness has not yet passed significant tests. (2) Under different levels of innovation activity, the talent agglomeration scale has a diminishing marginal utility impact on economic efficiency improvement and economic structure optimization; talent agglomeration effectiveness also has different nonlinear effects on economic efficiency improvement and economic structure optimization.

Exploring Spatial-Temporal Coupling and Its Driving Factors of Green and Low-Carbon Urban Land Use Efficiency and High-Quality Economic Development in China

Green and low-carbon use of urban land (GLUUL) and high-quality economic development (HED) are two closely linked and mutually reinforcing systems, and their coordinated development is of great theoretical and practical significance to the realization of green and sustainable urban development. Based on theoretical analysis, this paper used data from 2005 to 2020 to measure GLUUL efficiency and HED level and their coupling coordination degree (CCD) successively of 282 cities in China, and then analyzed in-depth the main factors affecting CCD and its spatial–temporal heterogeneity using the GTWR model. This study found that (1) GLUUL efficiency and HED levels are increasing with different trends, and the development is unbalanced. High-value cities in the two systems show a staggered distribution pattern. (2) The CCD of the two was dominated by primary and intermediate coordination types, and the overall became increasingly coordinated, with the “intermediate coordination—advanced development” type having the highest representation. (3) There is a gradual convergence of CCD spatial differences, showing an overall spatial distribution pattern that is “high in the northwest and southeast, low in the central area”. (4) The influence degree and direction of different factors on CCD are distinguishing. The positive impact of industrial structure upgrading (Isu) is obviously greater than other factors, which has the strongest effect on the industrial corridor along the Yangtze River and the Beijing–Tianjin–Hebei region. The findings can offer insightful recommendations for promoting sustainable development in China and similar developing countries and regions.

Research on Disposal of Non-Performing Assets of Listed Companies

China's economic development is affected by adverse factors such as cyclical and structural adjustment of the domestic economy, but also by the sudden impact of the international political and economic environment, and the complex economic environment at home and abroad has greatly challenged the development of Chinese enterprises. The problem of non-performing assets is a prominent problem facing the high-quality development of China's economy. It requires both enterprises to regulate their own risks and asset management companies to properly and reasonably dispose of non-performing assets to prevent these assets from having an impact on systemic risks and then affecting other economies. Solving the problem of non-performing assets in a reasonable way can effectively deal with the non-performing assets, and then promote and prevent the further spread of the non-performing assets crisis of enterprises. This paper analyzes that the asset disposal mode of "stock plus bond" provides a reference for other NPL disposal methods, and helps other enterprises to dispose NPL efficiently. When dealing with non-performing assets, there are risks from debtors and creditors. To prevent and address these problems, detailed and precise asset-liability analysis, a well-developed restructuring plan, and enhanced collaboration between departments are required." The "equity plus bond" model combines the centralized disposal method of non-performing assets, which can effectively deal with these non-performing assets, better reduce risks and improve operations.

Study on the Influence of Tiktok on the Bridging of The Digital Divide of Zhejiang Residents

China's digital economy is at a stage of rapid development, the digital economy has become an important engine to promote China's economic development, and our society is developing in the direction of digital. While vigorously supporting the development of digital economy, we should also be vigilant about the existence of digital divide, pay attention to the coordination between the two, and strive to bridge the digital divide is imminent. Short video users account for more than 88% of the current Internet users in China, and Tiktok is the top application in the short video industry, which plays a non-negligible role in bridging the digital divide. Therefore, this study takes the influence of Tiktok on the bridging of the digital divide of Zhejiang residents as the research theme, and carries out the design and research of its research program.

Effect of water vapor transport and budget on precipitation in the Yangtze–Huang–Huai–Hai River Basin

Study regionThe Yangtze−Huang−Huai−Hai River basin (3.19 million km2) in China, which is vital for China's economic development. Study focusWe employed the Eulerian method to identify the primary water vapor channels from 2005 to 2020, and the water vapor net budget over the basin was calculated. Additionally, the Lagrangian method was utilized to simulate water vapor transport trajectories across four seasons, with the aim of investigating the influence of changes in water vapor on precipitation. New hydrological insights for the regionUtilizing both Eulerian and Lagrangian methods, the findings indicate that: (1) Precipitation in the basin experienced a downward trend of −3.5 mm·a−1 during 2005−2020, mainly in spring (−1.4 mm·a−1) and summer (−1.7 mm·a−1); (2) The water vapor net budget has a substantial downward trend (−0.9 kg·m−1·s−1·a−1), mainly in spring (−0.4 kg·m−1·s−1·a−1) and summer (−0.3 kg·m−1·s−1·a−1), which aligns with the declining trend of precipitation. (3) The Hybrid Single Particle Lagrangian Integrated Trajectory Model demonstrates that the decrease in long−distance water vapor transport trajectories impacts the basin’s water vapor channels. The decline in spring is predominantly influenced by the water vapor transport trajectories from Asia, Europe, and Africa−Arctic Ocean (−0.7 %·a−1), while the summer is mainly driven by the water vapor transport trajectory from the Indian Ocean−South China Sea (−0.3 %·a−1). This study improves the existing understanding of the hydrological cycle in the context of the basin, and offers a crucial scientific basis for water resource management and regulation.