Sustainable Development In China Research Articles

Do clean energy technologies, ecotourism, health policy, and green education help in achieving sustainability in China?

Sustainable development has become the foremost requirement for sustainable economic conditions all around the globe, and this aspect demands new literature and regulators' emphasis. Hence, the present research investigates the impact of clean energy technologies, human development, health policies, green education, and ecotourism policy on sustainable development in China from 1991 to 2021. The researchers investigate the association among the variables using dynamic autoregressive distributed lag (DARDL). The outcomes revealed that clean energy technologies, human development, health policies, green education, and ecotourism policy have positive linkages with sustainable development in China. The article provides guidelines to the policymakers in developing policies related to attain sustainable development using effective clean energy technologies, human development, health policies, green education, and ecotourism policy.

Fine-grained sustainability assessment: County sustainable development in China from 2000 to 2017

Rational assessment of the regional sustainable development level is an important prerequisite for formulating development strategies and achieving the UN Sustainable Development Goals (SDGs). Currently, little literature provides nuanced understanding for national sustainable development from the perspective of county sustainability. Such studies can provide more accurate regional heterogeneity characteristics and policy decision support. Thus, this paper applies the entropy weight method and Chinese county data from 2000 to 2017 to reassess the sustainability of Chinese counties. The results show that China's county sustainability (Sustainable Development Index, SDI) is slowly improving. County sustainability performance is poorer in ethnic minority agglomerations, poor counties, old revolutionary counties, and central and western regions, better in county-level cities and eastern regions. The decomposition results show that economic sustainability and environmental sustainability are the main supporters of SDI growth, and livelihood sustainability is in urgent need of improvement. The regional inequality of SDI in Chinese counties gradually decreases, and inter-group differences are the main contributors to regional inequality in SDI. This paper provides support for China to develop county-level sustainable development measures and practice the SDGs. The findings could be useful for policymakers.

Environmental efficiency, climate innovation, and resource rent in Chinaʼs SDGs: Insights from quantile regressions

To achieve the Sustainable Development Goals (SDGs) in China, this research examines the dynamic roles that environmental system efficiency, climate technology innovation, and natural resource rent play. We analyze data from 1996 to 2018 using a unique quantile regression technique to examine the empirical insights and patterns associated with these parameters. Our results highlight the complex interplay between China's SDG achievement across various quantiles and environmental system efficiency, climate technology innovation, natural resource rent, and rent. By investigating this connection, we help to advance knowledge of the many facets of sustainable development in China and provide insightful information to stakeholders and policymakers. The findings of this research have significant ramifications for developing strategies and policies that effectively advance sustainable development while considering the intricate interaction between environmental effectiveness, technological innovation, and natural resource management.

Evaluation of sustainable development efficiency in Chinese provinces- based on closed-loop feedback three-stage dynamic network slack-based measure model

Coordination of economic, environmental, and social development is essential for sustainable development in China. A closed-loop feedback three-stage dynamic network slack-based measurement model was proposed to measure the sustainable development efficiency of 30 provinces in China during 2005–2020. The spatiotemporal evolution characteristics and coordination of sustainable development efficiency were explored using the Dagum–Gini coefficient decomposition method, Malmquist index model, and kernel density estimation method. As indicated, the overall sustainable development efficiency of China has increased with an average of 0.7140. The efficiency level of regional sustainable development displayed a "stepped-like" spatial distribution pattern, exhibiting a successive "east-central-west" decrease. The sustainable development efficiency levels of the respective stages differed notably, and the efficiency values of stages 2 and 3 were considerably lower than those of stage 1. The contribution rate of the between-region difference to the overall degree of variation was the highest, followed by the contribution rate within the region. Notably, the contribution rate of transvariation intensity reached a minimum value. During the study period, the distribution centre of sustainable development efficiency in China moved continuously to the right, the peak height increased, and the width contracted. This study provides a valuable policy reference for China’s sustainable development and ideas regarding its global response to energy and environmental issues.

Evaluating the impact of green bonds on renewable energy investment to promote sustainable development in China

The rapid development of renewable energy (RE) has become a crucial strategy to mitigate climate change and promote sustainable development. However, financing RE projects is often challenging due to high upfront costs, complex regulatory frameworks, and lack of access to capital. Green bonds have emerged as a promising tool for financing RE projects and promoting sustainable development. This study evaluates the impact of green bonds on RE investment in China using a fuzzy analytical hierarchy process (FAHP) and a fuzzy weighted aggregates sum product assessment (WASPAS) method. The study identifies six factors, 18 sub-factors, and six investment strategies through extensive literature works. The FAHP method is used to evaluate various factors and sub-factors, while the fuzzy weighted aggregates sum product assessment (FWASPAS) method is employed to identify the key strategies for green bonds implementation in RE projects. The FAHP analysis finds that the financial impact of green bonds is the most significant factor with financial feasibility and cost of capital being the most important sub-factors in this category. The environmental, regulatory, and market are the most important sub-factors. The FWASPAS method indicates that green bonds can have significant impact on lowering the cost of capital, improving investor confidence, and supporting project certification of RE projects.

Post-COVID-19 Community-Based Tourism Sustainable Development in China. Study Case of Hebian Village

China’s tourism sector has seen the effects of the worldwide COVID-19 outbreak. Community-based tourism has arisen as a sustainable alternative to mass tourism, benefiting local communities economically while preserving the environment and cultural heritage. Using Hebian Village as a case study, this study investigates the post-COVID-19 sustainable development of CBT in China. The study employs a qualitative methodology, including field observation and semi-structured interviews with community members, tourists, and tourism experts. The findings of this study indicate that Hebian Village has the potential for the sustainable development of CBT, as it possesses unique natural and cultural resources, and its residents are ardent about promoting tourism while maintaining their traditional way of life. Inadequate crisis management, a lack of marketing and managerial skills, and restricted access to funds are all preventing the expansion of CBT in Hebian Village. The study proposes some suggestions for the development of CBT that include the crisis of COVID-19, community participation, market orientation, and government support. CBT has the potential to contribute to the sustainable development of rural regions in China, but it requires a concerted effort on the part of all stakeholders, including the government, local communities, and tourism industry actors.

Unraveling the complexity of China's sustainable development: A study on the interplay of natural resources, urbanization, and public transportation

With growth and economic development, there comes an environmental cost. The increased production level would mean that the manufacturing industries would now demand more resources to be consumed and transformed into finished goods. However, balancing economic development without hampering the environment is one of the biggest challenges for countries like China which are experiencing high volumes of economic development over the last two decades. Hence, the study's main objective is to cover the gap in the literature by addressing the role of Natural resources (NTR), Economic Development (ECD), Transportation (TRN), and Urbanization URB in the environmental pollution concerning China. The Quantile Autoregressive Distributed lag (QARDL) method determines the link between the abovementioned variables. The outcome reported the positive relationship of NTR, ECD, TRN, and URB across all of the quantiles of CO2. The findings urge China's policymakers and government institutions to take serious initiatives to address the environmental concerns that could reap benefits in the long and short run.

How do corporate social responsibility and green finance strategies impact sustainable development in China's renewable energy sector?

As the globe transitions to a low-carbon economy, China's renewable energy (RE) sector is crucial to attaining sustainable growth. Green financing and corporate social responsibility (CSR) strategies have become increasingly important in promoting the growth and sustainability of the RE sector. In order to evaluate CSR factors and green finance strategies for effective integration in supporting the RE industry, this research employs hybrid Fuzzy Analytic Hierarchy Process (FAHP) and Fuzzy VIekriterijumsko KOmpromisno Rangiranje (FVIKOR) approaches in the context of China. The FAHP method is used to determine the various CSR factors and subfactors, while the FVIKOR method is employed to prioritize the key green finance strategies. The findings of the FAHP method highlight the importance of socioeconomic development, environmental protection, and stakeholder engagement as critical CSR factors for RE sectors. Moreover, the results of the FVIKOR method reveal that innovative financing mechanisms, green bonds, and green banks emerged as significant green finance strategies for mobilizing capital and resources for RE projects. The study highlights the value of aspects of CSR and green financing techniques in fostering sustainable development in the RE industry. The results can aid in the promotion of sustainable practices and the assistance of China's transition to a more resource- and environment-wise economy by firms, investors, governments, and other stakeholders.

Spatial correlation analysis of comprehensive efficiency of the photovoltaic poverty alleviation policy - Evidence from 110 counties in China

The photovoltaic poverty alleviation (PV-PA) policy is a promising policy innovation to achieve sustainable development in China. Based on first-hand field investigation data of 18 prefecture-level cities and 110 counties in China's Henan Province, this paper first evaluated the efficiency of PV-PA policy and analyzed its spatial correlation characteristics by adopting data envelopment analysis, spatial autocorrelation analysis and social network analysis methods. The results show that: (1) the comprehensive efficiency of the PV-PA policy in Henan Province is good, and that of the prefecture-level is better than the county-level, with great differences; (2) comprehensive efficiency of the PV-PA policy shows a significant spatial agglomeration phenomenon at the county-level, and regional development imbalance exists; and (3) PV-PA policy network linkages at prefecture-level are relatively weak. Finally, this paper makes policy recommendations for optimizing project scale, promoting regional balanced development, strengthening supervision and management, and enhancing the cooperation between policymakers.

The impact of high-quality development on ecological footprint: An empirical research based on STIRPAT model

It is urgent to coordinate the development of economy and environment under the “dual carbon” goal. As China's new development stage and mode, high-quality development takes into account both the speed and quality of economic, providing the possibility of achieving a “win-win” situation for the economy and the environment. In order to test the practical impact of high-quality development on ecological, based on the STIRPAT model, this paper introduces high-quality development index instead of per capita GDP, so as to measure the current economic situation in China, and explore the relationship between high-quality development and ecological footprint, and demonstrates the feasibility from theory and practice. At the same time, it pays attention to the complex effects of population and technology on environmental quality. The results show that the contradiction between economy and ecology still exists in China. The ecological footprint index of 30 provinces in the past 21 years has increased as a whole, and the fworst ecological footprint has concentrated in the Yellow River basin. But since 2012, the growth of the footprint has slowed. The slow down time and low value region of ecological footprint were observed, and it was found that they overlapped with the proposed time and the high value area of high-quality development. The level of high-quality development in China has also continued to rise, with regional differences but gradually narrowing. Among them, green development and shared development contribute more to the improvement of high-quality development level. Compared with the traditional economic development mode, high-quality development can reduce the increase of ecological footprint, and the longer the time, the smaller the increase, more conducive to long-term sustainable development. In addition, population and technology factors are also profoundly affecting China's ecological pattern. The increase in population size and population density, as well as the increase in the proportion of coal-based energy consumption structure, will lead to increased environmental pressure. The improvement of population quality and the reduction of energy consumption intensity will help alleviate ecological pressure. The research is helpful to provide policy guidance and path combination reference for China's sustainable development, and also provide new ideas for the global coordination of the relationship between economy and environment.

Public spending and natural resources development: A way toward green economic growth in China

The economic rise of China over the past few decades has been nothing short of remarkable. This growth, however, has brought about significant challenges, particularly in terms of environmental sustainability and natural resource management. Through a comprehensive GARCH data analysis spanning 2008 to 2018, the research explores the intricate relationship between public spending patterns and the advancement of green technologies and industries. By focusing on the prudent allocation of resources, particularly in the realm of natural resource utilization, the study assesses China's progress toward fostering a greener economic landscape. This investigation offers insights into the intricate dynamics that underpin the nation's ongoing commitment to balancing economic expansion with ecological preservation. The findings shed light on the policy effectiveness and long-term implications of China's sustainable development initiatives, providing valuable considerations for both policymakers and researchers invested in the sustainable growth paradigms of emerging economies.

Official Turnover and Sustainable Development in China

Official Turnover and Sustainable Development in China

Consumer-Perceived Risks and Sustainable Development of China’s Online Gaming Market: Analysis Based on Social Media Comments

Online gaming constitutes an indispensable facet of China’s digital economy, catalyzing consumer discussions on social media platforms. This study employs a comprehensive natural language processing framework, encompassing topic mining, multi-label classification, and sentiment analysis, to evaluate consumers’ psychological perceptions of the risks associated with online games through social media comments. This study identifies 11 distinct perceived risk topics, including “Excessive Temptation”, “Entry Regulation”, and “Culture Implantation”. Numerous comments encompass multiple topics, each infused with diverse emotional inclinations, thus unveiling disparate consumer perspectives. These findings underscore the critical significance of addressing potential perceived risks and mitigating negative consumer emotions for enterprises operating within online gaming. Such measures are pivotal to maintaining a brand image, business reputation, and enduring growth. Furthermore, this study extends valuable insights to regulatory bodies, contributing to enhancing administrative efficiency, safeguarding consumer rights, and fostering a robust and sustainable trajectory within China’s online gaming market.

Can industrial intelligence promote green transformation? New insights from heavily polluting listed enterprises in China

The main challenge for sustainable development in China lies in promoting the green transformation of enterprises. Industrial intelligence provides a novel avenue for this shift towards sustainability. This study uses a database of Chinese A-share listed companies from 2012 to 2019, focusing on 813 high-polluting firms, to examine the impact of industrial intelligence on green transformation through a two-way fixed effects model. The findings reveal that industrial intelligence significantly facilitates the green transition of businesses; however, these effects substantially vary across various businesses. Honestly, state-owned enterprises, manufacturing sectors, and energy production and supply industries documented more pronounced impacts. Government interference hinders the positive effects of industrial intelligence on green transformation, while marketization enhancement has a positive moderating effect. In contrast, the financial market's moderating effect is negligible. It suggests that governments would increase the use of industrial intelligence, reduce government involvement, optimize financial markets, and enhance marketization to encourage green development in firms.

Sustainable development in China? A nonparametric decomposition of economic growth

China has undergone significant deviations from the command economy established in 1949, achieving unprecedented success in sustaining high growth. Consequently, numerous scholars have devoted their attention to studying China's economic development. In this study, we contribute to this literature using a new technique to examine China's economic development. This technique utilizes nonparametric directional distance function in the framework of neoclassical growth theory. It avoids the assumptions imposed on parametric production functions that are often short of practical justifications. Our analysis shows that capital and energy inputs account for 75.7% and 20.8% of China's GDP growth during 1985–2020. These figures characterize a capital-driven growth model that is unlikely to be sustainable by conventional wisdom. However, our empirical evidence, obtained through an interactive-fixed effects model, indicates that it is not unreasonable to say that growth in China is government-led rather than capital-driven; the former could be sustained by desirable reforms under strong national leadership while the latter is not.

The Response Characteristics of Sugarcane Yield, ET and WUE to Meteorological Drought Based on DSSAT-Canegro Model in Lai-bin, China

Crop water use efficiency is an important indicator of the scientific and rational nature of agricultural water use. Studying the response characteristics of sugarcane yield accumulation and water use efficiency to meteorological drought scenarios is a key scientific issue to promote smart management and sustainable development of China's sugarcane industry. In this paper, based on SPEI index, different meteorological drought scenarios were set and the DSSAT-Canegro model was used to simulate the response mechanisms of sugarcane yield accumulation and canopy evapotranspiration to irrigation regime scenarios under different meteorological drought scenarios. Furtherly, in this study, the total on-farm water use efficiency (WUEg), field water use efficiency (WP), true irrigation water use efficiency (WUEti), and irrigation water use efficiency (WUEi) of sugarcane in the study area were evaluated quantitatively to screen the optimal irrigation regime. Specific studies have shown that the stem extension stage is the most sensitive growth stage for sugarcane response to irrigation. Soil evapotranspiration and crop transpiration in sugarcane fields in Laibin varied with irrigation quotas, and that reducing soil evapotranspiration could improve sugarcane water use efficiency. In meteorological drought scenarios with longer and more intense droughts, irrigation has a stronger stimulating effect on sugarcane growth and is more favourable to its yield accumulation.The correlations between WUEg index and WP, WUEi) and WUEti indicators of sugarcane in the study area were all significant, which can be used as key analytical indicators for the optimization of sugarcane irrigation regimes in Laibin. The results of this study can provide important scientific support for the accurate quantification of water demand and consumption of sugarcane in southern China and their coupled and coordinated intelligent management.

Exploring the Current Status and Development of Condition Monitoring and Fault Diagnosis for Power Machinery of Engineering Ships

With the continuous progress of science and technology, modern engineering ships are also moving towards large-scale and high-speed development. Due to the fact that the power propulsion system is one of the most important parts of the entire ship, its operational status will directly affect navigation safety and operational efficiency, etc. Therefore, real-time monitoring of it is of great significance. Based on this, this article mainly explores the current status and development trends of condition monitoring and fault diagnosis of engineering ship power machinery, aiming to enable technical personnel to quickly and better grasp and apply these advanced technologies, and promote the healthy and sustainable development of China's shipbuilding industry.

Can digital finance promote inclusive growth to meet sustainable development in China? A machine learning approach

Can digital finance promote inclusive growth to meet sustainable development in China? A machine learning approach

Green innovation efficiency and multiple paths of urban sustainable development in China: multi-configuration analysis based on urban innovation ecosystem

Enhancing the effectiveness of urban green innovation is a powerful strategy for advancing urban sustainability. A strong urban innovation ecosystem is a crucial building block for advancing urban green innovation’s effectiveness. We use the fsQCA method to investigate the pathways and models of innovation ecosystems to promote the green innovation efficiency of cities from a histological perspective, using 71 innovative cities in China as cases. This method is based on the DEA-SBM model to measure the green innovation efficiency of cities and the Necessary Conditions Analysis. According to our analysis, individual innovation factors are not required to increase urban green innovation efficiency. But cities with good openness can attract creative forces and foster open innovation, which is essential for producing high levels of green innovation efficiency in cities. The innovation subject-balanced development model, the innovation environment-innovation asset dual drive model, and the innovation subject-open drive model have all been identified as additional models to support urban innovation efficiency. Finally, we discovered that it is not possible to increase the efficiency of green innovation in the city when each innovation factor in the city is performing poorly, and when there is also a lack of innovation subject and system openness. This study attempts to offer fresh theoretical angles and a variety of urban low-carbon development pathways.

Exploring the carbon inequality embodied in China’s interregional trade based on a human well-being equity perspective

China’s interregional trade leads to interregional carbon inequality and impacts the flow and distribution of interregional human well-being. Few studies have been conducted that construct human well-being from a multidimensional perspective and explore the inequality of carbon emissions in interregional trade based on a human well-being equity perspective. This study applies a multiregional input‒output (MRIO) model to analyze the flow of carbon emissions and human well-being and capital between regions, explores the carbon inequality embodied in interregional trade based on the regional environmental inequality (REI) index, and finally proposes a shared responsibility scheme for carbon emissions and policy implications based on a human well-being equity perspective. The results demonstrate that the transfer of carbon emissions and human well-being through regional trade is realized through consumption. Different transfer paths of carbon emissions and human well-being lead to significant carbon inequality in interregional trade. Regions such as the West and North, which suffer more significant inequality in trade, receive carbon emissions mainly from carbon-intensive industries; regions such as the East coast and South coast, which benefit more from trade, transfer large amounts of carbon emissions by importing products from industrial sectors with a high carbon emission intensity and relatively low value and by acquiring more human well-being and capital. This study provides evidence regarding the current status of carbon inequality based on human well-being equity in China; fills the gap in existing research; and provides a reference for addressing the inequality of carbon emissions and human well-being and each type of capital between regions and formulating a fair and effective carbon reduction policy. This study provides an overall solution for sustainable development in China.