High-quality Development Of China Research Articles

How Do Environmental Technology Standards Affect the Green Transformation? New Evidence from China.

During the period of high-quality development in China, environmental regulations have been regarded as powerful exogenous forces, especially for accelerating the green transformation of the manufacturing industry. Treating the first implementation of cleaner production industry standard policies in 2003 as a quasi-natural experiment, and employing the difference-in-differences (DID) model, this paper discusses the impacts of environmental technology standards on the green transformation of the manufacturing industry in China, with systematic consideration of three technological modification mechanisms, including terminal governance, capital renewal, and resource structure adjustments. The results show that: (1) environmental technology standards can have “win–win” effects, i.e., environmental technology standards can simultaneously improve the environmental performance and the economic performance; (2) the dynamic effects of environmental technology standards are proven in the parallel trend test; (3) environmental technology standards can not only promote the green transformation of the manufacturing industry directly, but can also mediate the effects of terminal governance, capital renewal, and resource structure adjustments. In summary, this paper makes four suggestions for government actions, namely re-examining command-and-control environmental regulations, paying attention to environmental regulation tools, changing the mechanism from technological modification to technological innovation, and updating environmental technology standards regularly.

Spatial Distribution of Agricultural Eco-Efficiency and Agriculture High-Quality Development in China

Agricultural ecological efficiency is not only the key link between green development and high-quality development of agriculture, but also an important regulatory indicator for China’s rural revitalization. Based on provincial panel data of China from 2000 to 2019, using land, mechanical, labor, fertilizer, pesticide, and agricultural film as input variables and economic output and agricultural carbon emissions as output variables, the inter-provincial agricultural ecological efficiency is calculated by a super-efficient SBM model, and the traditional spatial Markov probability transfer matrices are constructed based on time series and spatial correlation analyses. By exploring the spatial and temporal dynamic evolution characteristics of agricultural ecological efficiency, it is found that the agricultural ecological efficiency of China increased steadily with fluctuations. In addition, the provincial gap has been narrowing, but the overall level is still at a low level; thus, there is still a large space for improvement in agricultural ecological efficiency. The overall trend of agricultural ecological efficiency shifting to a high level in China is significant, but its evolution has the stability to maintain the original state, and achieving leapfrog transfer is relatively hard. The geospatial pattern plays an important role in the spatial-temporal evolution of agricultural ecological efficiency, with significant spatial agglomeration characteristics. Provinces with high agricultural ecological efficiency enjoy positive spillover effects, while provinces with low agricultural ecological efficiency have negative spillover effects; thus, gradually forming a “club convergence” phenomenon of “high agglomeration, low agglomeration, high radiation, and low suppression” in the spatial pattern. In addition, support for the improvement of agricultural ecological efficiency will be provided in this study.

Research on Comprehensive Evaluation of High-quality Development of China's Regional Manufacturing Industry

Promoting the high-quality development of the manufacturing industry is an inevitable choice under the background of the developme nt of my country's new era. The article focuses on the connotation of the high-quality development of the manufacturing industry and builds an evaluation index system for the high-quality development of the manufacturing industry from four dimensions: high-end, innovative, service-oriented, and green. , using the vertical and horizontal scale method to evaluate and analyze the high-quality development level of the manufacturing industry in 30 provinces and cities from 2010 to 2020. The results show that the high-quality development of the manufacturing industry in my country is unbalanced among regions, showing a trend of strength in the east and weakness in the west. Based on the empirical results, corresponding policy recommendations are put forward for different regions.

Influence of Tourism Economy on Air Quality-An Empirical Analysis Based on Panel Data of 102 Cities in China.

The relationship between regional tourism development and air quality is complex. Although air pollution restricts tourists’ willingness to travel, the air pollution produced by tourism and its ancillary industries can also not be ignored. Using the annual panel data of PM2.5 concentration and tourism revenue at the city level, and comprehensively using the Panel VAR model, Geodetector and other analysis methods, we explored the spatio-temporal relationship between the tourism economy and its impact on air quality in China. The main conclusions are as follows: first, the “Kuznets” curve of tourism development and air pollution in mainland China from 2004 to 2016 is generally significant—that is, the tourism economy and air pollution generally show an “inverted U-shaped” relationship. Second, the tourism economy has a positive effect on air pollution in the short term, and this effect is stronger in the eastern region. Third, tourism economy is not the leading factor affecting the change in regional air pollution. GDP and industrial structure are more likely to have the greatest impact on air pollution, and the effect of this “joint force” factor on air pollution is greater than that of other single factors. In the future, the high-quality development of China’s tourism economy needs to take environmental protection into consideration, and advocate for low-carbon travel and green tourism.

Does ESG Performance Promote High-Quality Development of Enterprises in China? The Mediating Role of Innovation Input

Environmental, Social and Governance (ESG) concept has internal consistency with the high-quality development of China’s economy theoretically, and implementing ESG concept is an important way to achieve sustainable economic development. However, whether ESG performance can promote the high-quality development from the perspective of micro enterprises is rarely studied. Thus, we explore the impact and mechanism of ESG performance on enterprises’ high-quality development. The empirical results indicate that good ESG performance is conducive to promoting high-quality development of enterprises. Environmental performance and social performance can promote high-quality development of enterprises more than corporate governance performance. The mechanism results show that innovation input plays a medicating role between ESG performance and enterprises’ high-quality development. The additional analysis suggest that the promoting effect is more obvious in state-owned enterprises, environmentally sensitive enterprises and enterprises with less financing constraints. This study has enlightenment significance for enterprises to value ESG performance and government departments to formulate relevant policies.

Institutional Governance Influence Mechanism and Model of Regional Green Development in China

Green has become the underpinning of High-quality development in China. Green development is inseparable from the support of institutional governance. This study uses MVC mode to build institutional governance mechanism, and constructs institutional governance system and model of regional green development. The empirical results show the following: institutional governance has great influence on industrial green development. From the perspective of China's provincial industrial green development, Shandong Province has been maintaining the first position of governance investment. Green governance is better in southern China than in the northern provinces. And the institutional governance intensity of each province is not evenly distributed. Therefore, China's industrial green development still needs to further strengthen the system governance of northwest and northeast regions. Finally, this paper aims to improve the green development level of China's regional industrial economy through the construction of institutional governance system. It provides institutional environment for the development of green innovation.

Research on the Spatial Spillover Effect of Financial Agglomeration on the Quality of Export Products

Since the reform and opening up, China has exported a large number of low-end manufacturing goods with the advantage of resource endowment, which has promoted the rapid development of China's economy, but it has been unable to meet the current demand for high-quality development of China's economy. At this stage, China's export enterprises are facing problems such as the rapid decline of the original low-cost advantage and the extrusion of other countries. Improving the quality of export products is one of the ways to realize China's high-quality development. Historical research results show that the financial service industry can promote the quality of export products by providing financial services and information flow. In this context, by introducing the driving relationship of financial agglomeration on the quality improvement of China's export products, this paper deeply studies the impact of financial agglomeration on the quality of export products, and puts forward policy suggestions to promote the quality improvement of export products. Firstly, this paper combs the relevant literature from two aspects: the influencing factors of export product quality and the development of financial agglomeration. On this basis, it expounds the spatial effect of financial agglomeration, and analyzes the spatial spillover effect mechanism of financial agglomeration on the quality of export products. Secondly, the quality of export products and the degree of financial agglomeration in the Yangtze River Delta are calculated based on the data of China customs database. Thirdly, the spatial econometric model is constructed to empirically test the impact of financial agglomeration on the spatial spillover effect of export product quality. Finally, based on the empirical research results, policy suggestions are put forward.

The Measurement of High-Quality Development Level of Tourism: Based on the Perspective of Industrial Integration

The integration of the tourism industry is an important motivation in promoting high-quality development. Based on the analysis of the relationship between tourism industry integration and high-quality development, this paper constructs an evaluation index system to evaluate the high-quality development level of the tourism industry for 2011–2018 in China by using a combination of fuzzy mathematics and a clustering model, which includes 4 dimensions, 11 secondary indicators and 28 tertiary indicators. The results show that the level of high-quality development in China’s tourism industry has been greatly improved, but the gap between regions is large. The performance level of the tourism industry economy is relatively high, and the tourism industry structure and industrial integration level need to be improved urgently. There are differences in the overall level and degrees of change of the high-quality development level of the tourism industry in 31 provincial regions, and there are also differences in the main influencing factors.

Spatial Analysis of Agricultural Eco-Efficiency and High-Quality Development in China

High-quality development has become a new requirement for China’s social and economic development. As an important industry related to the national economy and people’s livelihood, achieving high-quality development in agriculture has become the most urgent task currently facing agriculture. This study focuses on agricultural eco-efficiency to indicate spatial distribution of high-quality development based on agricultural input–output data from 2001 to 2019 and the SBM-Undesired model; this study focuses on Agricultural Eco-efficiency, a key indicator related to the high-quality development of agriculture, to measure the temporal and spatial evolution of Agricultural Eco-efficiency. The results show that the Agricultural Eco-efficiency has increased from 0.363 in 2001 to 0.818 in 2019, with a growth rate of 125.34%, and the provinces with higher agricultural eco-efficiency are mainly located in the eastern regions. In addition, there is a U-shaped change trend between Agricultural Eco-efficiency and the total output value of agriculture, forestry, animal husbandry, and fishery. In other words, the provinces with the total output value of agriculture, forestry, animal husbandry, and fishery in the low range and high range enjoy higher Agricultural Eco-efficiency. Compared with the eastern region, the middle reaches of Yellow River and middle reaches of Yangtze River have great potential to reduce carbon emissions. In order to achieve high-quality agricultural development, it is necessary to pay attention to key indicators for improving Agricultural Eco-efficiency, and the technology development of the central and western regions will be very useful to decrease the gap.

A study on the interaction between logistics industry and manufacturing industry from the perspective of integration field.

Studying the linkage between manufacturing industry and logistics industry is conducive to explore and improve the efficiency of the common development of them. In order to study the interaction of logistics industry on the development of manufacturing industry and the development of two-industry-linkage, it first calculates the high-quality development level of logistics industry and manufacturing industry, then uses the coupling coordination model to theoretically analyze and empirically test the coupling and coordinated development level of high-quality development of logistics industry and manufacturing industry from three aspects: coupling degree, coordination degree and coupling coordination degree, and based on the perspective of integration field theory, it takes the three basic synthetic fields of logistics integrator, logistics base-nuclear and logistics connection-key as the analysis dimension, PVAR model was introduced for in-depth analysis the impact of logistics industry on manufacturing industry and the level of the two-industry-linkage. It was found that the high-quality development of China’s logistics industry and manufacturing industry is close on the whole, and the development trend is consistent, the high-quality development of them is mainly caused by the change of scale, but there is no obvious change in technical efficiency, which also provides a way for the high-quality development of the two-industry-linkage in the future. The two-industry-linkage mostly belongs to the situation of low-level mutual restriction, which has not yet reached a high level of mutual promotion, resulting in the overall coupling coordination degree basically in a state of barely coordination. The development of logistics industry and manufacturing industry need to go through certain practice and running in, when there is an error matching between the two, the logistics industry will inhibit the two-industry-linkage. When the economy develops to a certain extent, the expansion of the logistics system scale to the level of the two-industry-linkage is not necessarily beneficial, blindly exceeding the demand for logistics investment will cause a waste of resources, which is not conducive to the high-quality development of the logistics industry and the coupling and coordinated development of the two industries. In the long run, the change of the logistics basic-nuclear capacity, the logistics integrator scale and logistics connection-key level will have a positive impact on the change of green total factor productivity in manufacturing industry.

The Impact of Technological Innovation on High-quality Economic Development Based on Chinese Provincial Data

Guided by the "New Five Development Concepts", this paper constructs an indicator system for high-quality economic development from the perspective of the effectiveness, coordination, innovation, sharing and sustainability of economic development, and analyzes the economic development of China's provinces from a provincial perspective. The entropy method is used to measure the comprehensive level of high-quality economic development in 30 provinces across the country from 2013 to 2019, and from the perspective of technological innovation, the technology market turnover is used to measure the basis of technological innovation, and a fixed effect model is established to reveal its relationship with economic high quality. The results show that: on the one hand, the overall level of high-quality development of China's economy is growing steadily, but there are obvious gaps between regions, and attention should be paid to shortening the gap between the rich and the poor to achieve more coordinated and comprehensive high-quality development; on the other hand, technological innovation can significantly promote the high-quality development of China's economy. We must continue to strengthen the core leading role of technological innovation, and promote technological innovation to serve the real economy. The government should formulate reasonable policies, implement environmental regulations to encourage enterprises to carry out technological innovation, and give full play to the driving effect of technological innovation on the high quality of the economy.

Spatial econometric analysis of effect of New economic momentum on China’s high-quality development

This study applies scientific connotations of the new economic momentum to construct an evaluation system for China’s high-quality development, which are categorized as technological innovation, institutional reform, transformation and upgrading, and development effectiveness. We used the HLM–MLSEM and a spatial panel model for analysis. The study showed a spatial spillover effect in the level of the new economic momentum of China’s high-quality development; technological innovation, institutional reform, transformation, and upgrading have significant direct and indirect effects on development effectiveness. Moreover, the direct effects of technological innovation, transformation, and upgrading are stronger than the indirect effects; however, at the subregional level, direct and indirect effects indicate evident spatial heterogeneity. This study has several policy implications for the Chinese government regarding the transformation of the new and old economic momentum, the deep optimization of local resource allocation, and coordinated and high-quality development in China’s regional economies.

Analyzing the South-North Gap in the High-Quality Development of China’s Urbanization

High-quality development (HQD) is the direction of China’s urbanization development. This paper defines HQD of urbanization in terms of theoretical connotation and constructs the evaluation index system of HQD of China’s urbanization from five aspects: innovation, coordination, green, open, and livable. The development index reflecting the adequacy of urbanization development in each region is calculated by using the range normalization law. The spatial weight attribute of each province and municipality is added to calculate the south-north regional development index, respectively. In addition, the Gini coefficient method is used to calculate and explain the regional imbalance coefficient of internal imbalance between southern and northern regions, and then determines the high-quality balanced development index of urbanization in southern and northern regions. Based on the panel data of 30 provinces and municipalities from 2001 to 2019, the results show that the quality of urbanization in all regions of China has gradually increased over time; in terms of region, the balanced development in southern and northern regions has overall improved significantly, but the gap between them is increasingly widening. The main reason is the lack of innovative development momentum and the pressure of green development.

The impact of environmental regulation on enterprises' green innovation under the constraint of external financing: evidence from China's industrial firms.

In recent years, the value of green innovation in achieving high-quality development in China has been increasingly recognized. However, studies on different types of green innovation under various environmental regulations have not established a systematic framework; especially, those considering external financing constraints are lacking. This study subdivides both environmental regulation and green innovation. Specifically, environmental regulation is divided into command-and-control regulation, market-incentive regulation, and public-participation regulation. Green technology innovation is divided into cleaner production technology innovation and end-of-pipe technology innovation. Moreover, this study explores whether and how environmental regulation affects green technology innovation, and investigates the moderating effect of external financing constraints, by matching the data from China Environmental Yearbook and China Industrial Enterprise Database. The results show that both command-and-control regulation and market-incentive regulation have the U-shaped relationship with cleaner production technology innovation. Meanwhile, public-participation environmental regulation significantly and positively affects cleaner production technology innovation, whereas market-incentive regulation and public-participation regulation have the inverted U-shaped relationship with end-of-pipe technology innovation. In addition, the external financing constraints have a moderating effect on the relationship between environmental regulation and cleaner production technology innovation.

Chinese Provincial Difference in the Efficiency of Universities’ Scientific and Technological Activities Based on DEA with Shared Input

The universities’ scientific and technological activities have become the key link of science and technology and economy, and the core of promoting the national innovation capability and competitiveness. To achieve high-quality development of China’s science and technology, it is of great significance to measure the efficiency of universities’ scientific and technological activities accurately and explore their regional differences. Based on the innovation value chain, we construct a two-stage efficiency measure index system of universities’ scientific and technological activity, and then according to the universities’ statistical data in China from 2010 to 2017, by taking provincial universities as the research object, we exploit a two-stage network DEA model with shared input to measure the provincial efficiency of universities’ scientific and technological activities in China; what is more, we explore the provincial differences in efficiency of universities’ scientific and technological activities. Finally, we extract the influencing factors on the efficiency of universities’ scientific and technological activities using the dynamic panel data model. The results show that there are serious problems in the transformation between knowledge output and results in the universities’ scientific and technological activities. The scientific and technological activities of regional universities in China are not balanced. For provincial universities’ efficiency of scientific and technological activities, there exist great differences among different time and space, stages, and resource utilization modes. The endogenous factors such as policy system and technology service are much more important factors.

A Blessing or a Curse? Exploring the Impact of Environmental Regulation on China's Regional Green Development from the Perspective of Governance Transformation.

China’s rapid economic growth has caused serious problems, such as environmental pollution and resource exhaustion. Only by improving the green total factor productivity (GTFP) can China’s economic development get out of the dual dilemmas of environmental degradation and resources exhaustion. Although environmental regulation helps to improve China’s productivity, its impact on GTFP is still controversial and deserves careful investigation. In this context, this study adopts the global Malmquist-Luenberger productivity index to measure the GTFP change of China’s 30 provinces over the period of 2003 to 2017 and then it uses the fixed-effect dynamic panel model to investigate the impact of environmental regulation on GTFP from the perspective of governance transformation. The results show that: (1) there is a nonlinear U-shaped relationship between environmental regulation and GTFP, indicating that the Porter hypothesis is verified in China. More notably, the values of environmental regulation are still located on the left side of the U-shaped curve at present, which means that the promotional effect of environmental regulation on GTFP has not been realized fully. (2) The U-shaped relationship shows significant regional heterogeneity. The western region demonstrates the highest level of significance, followed by the eastern region. However, the U-shaped relationship is insignificant in the central region. (3) Governance transformation can not only significantly improve GTFP but it can also accelerate the realization of the Porter hypothesis by inspiring the innovative enthusiasm of enterprises, which means that governance transformation can contribute to the achievement of the improved effects of environmental regulation on GTFP. (4) R&D investment can significantly improve GTFP, where the impacts of trade openness and factor endowment were significantly negative and the influence of foreign direct investment was not significant. These conclusions provide a good reference point for optimizing the relationship between the government and the market, as well as promoting regional green and high-quality development in China.

A Theoretical and Empirical Studies on the High-quality Development of China's Economy

Following the establishment of New China, China's economy quickly recovered from the post-war period, particularly after reform and opening up. China's economy has ushered in a 40-year period of rapid growth, with the report of the 19th National Congress in 2017 stating that "China's economy has shifted from a stage of rapid growth to a stage of high-quality development." The article first reviews and summarizes previous studies on high-quality economic development by domestic and foreign scholars to provide a reference for this study; second, it conducts a theoretical study on the definition of high-quality economic development through two perspectives of political science to clarify the economic definition and measurement method of high-quality economic development and to test the objective facts of high-quality economic development. Third, a comprehensive evaluation system for high-quality economic development was constructed through 16 indicators in four parts: economic structure, social security, environmental protection, and institutional construction. Fourth, scientific experiments were carried out using the double difference method to verify that "China's economy has shifted from the stage of high-speed growth to the stage of high-quality development," reflecting the obvious development transformation.

Regional differences of high-quality development level for manufacturing industry in China.

The development of China's manufacturing industry is still facing the challenge of regional imbalance. To solve the problem of development imbalance, it is necessary to realize regional development. First, we must analyze the development characteristics of different regions. To this end, we consider the requirements of the new development era and design an evaluation index system for the high-quality development level of the manufacturing industry from the dimensions of innovation, green, and efficiency. Then construct a novel hybrid model which combines the grey incidence clustering model and AP algorithm for panel data in this paper. According to the statistical data from 2014 to 2018, we find out the high-quality development of China's manufacturing industry is characterized by obvious regional differences, different development stages and different constraints.

数字经济对我国制造业高质量发展的影响研究

数字经济对我国制造业高质量发展的影响研究

Research on the driving factors for the high-quality development of China’s forestry economy under the carbon peaking and carbon neutrality goals

Under the development path of green circular economy with the goal of “double carbon”, the highquality development of forestry economy is an important driving force for tapping the new momentum of green transformation of industrial structure. Based on panel data of 31 provinces in China from 2009 to 2018, this paper constructs a two-way fixed-effects model to explore the drivers of high-quality development of the forestry economy, using forestry economic output value as the explanatory variable. The study found that forestry protection efforts, average forestry salary levels, forestry employees, annual afforestation area, technology level and regional industrial structure significantly contributed to forestry economic development. Therefore, China should formulate targeted forestry development policies based on the drivers of the forestry economy, so as to support and ensure the quality development of the forestry economy.