Sustainable Development Goals In China Research Articles

Mitigating air pollution benefits multiple sustainable development goals in China

Achieving the United nations 2030 Sustainable Development Goals (SDGs) remains a significant challenge, necessitating urgent and prioritized strategies. Among the various challenges, air pollution continues to pose one of the most substantial threats to the SDGs due to its widespread adverse effects on human health and ecosystems. However, the connections between air pollution and the SDGs have often been overlooked. This study reveals that out of the 169 SDG targets, 71 are adversely impacted by air pollution, while only 6 show potential positive effects. In China, two major atmospheric nitrogen pollutants, ammonia and nitrogen oxides, resulted in an economic loss of 400 billion United States Dollar (USD) in 2020, which could be reduced by 33% and 34% by 2030, respectively. It would enhance the progress towards SDGs in China by 14%, directly contributing to the achievement of SDGs 1 to 6 and 11 to 15. This improvement is estimated to yield overall benefits totaling 119 billion USD, exceeded the total implementation cost of 82 billion USD with ammonia as the preferential mitigation target. This study underscores the importance of robust scientific evidence in integrated policies aimed at aligning improvements in environmental quality with the priorities of sustainable development.

English Teaching Management in Public High Schools: A Study Based on Dissipative Structure Theory under the Integration of Sustainable Development Goals in China

English Teaching Management in Public High Schools: A Study Based on Dissipative Structure Theory under the Integration of Sustainable Development Goals in China

Intranational synergies and trade-offs reveal common and differentiated priorities of sustainable development goals in China

Accelerating efforts for the Sustainable Development Goals requires understanding their synergies and trade-offs at the national and sub-national levels, which will help identify the key hurdles and opportunities to prioritize them in an indivisible manner for a country. Here, we present the importance of the 17 goals through synergy and trade-off networks. Our results reveal that 19 provinces show the highest trade-offs in SDG13 (Combating Climate Change) or SDG5 (Gender Equality) consistent with the national level, with other 12 provinces varying. 24 provinces show the highest synergies in SDG1 (No Poverty) or SDG6 (Clean Water and Sanitation) consistent with the national level, with the remaining 7 provinces varying. These common but differentiated SDG priorities reflect that to ensure a coordinated national response, China should pay more attention to the provincial situation, so that provincial governments can formulate more targeted policies in line with their own priorities towards accelerating sustainable development.

Progress toward some of sustainable development goals in China's population-shrinking cities

A decrease in population is an emerging challenge in China's urbanization trajectory. This study utilizes data from the Sixth and Seventh Population Censuses to identify Chinese cities experiencing population decline, focusing on prefecture-level cities. It employs 30 indicators relevant to nine Sustainable Development Goals (SDGs) concerning urban areas and populations to evaluate the progress of these shrinking cities in 2010 and 2020. A novel metric, "SDG population elasticity", is introduced to quantify the association between population reduction and SDG indexes. The study employs K-means++ clustering for 130 shrinking cities. The findings reveal that out of the 130 cities, 63 exhibit a downward trend in SDG index scores, predominantly in China's northeast and western regions. The Northeast region has negative SDG population elasticity, indicating a lag in sustainable development compared to that in other areas. Additionally, the research categorizes China's shrinking cities into four groups: cities with strong population elasticity feedback-significantly declining SDGs, cities with weak population elasticity feedback-slightly regressing SDGs, cities with high population loss-negative SDGs in decline, and cities with smart population decline-steady SDGs growth. These findings offer a foundation for crafting bespoke policies in shrinking cities to ensure a balanced approach to sustainable development and monitor advancement toward achieving the SDGs.

Evaluating complementaries among urban water, energy, infrastructure, and social Sustainable Development Goals in China

Urban areas' performance in water, energy, infrastructure, and socio-economic sectors is intertwined and measurable through Sustainable Development Goals (SDGs) 6–13. Effective synergy among these is critical for sustainability. This study constructs an indicator framework that reflects progress towards these urban SDGs in China. Findings indicate underperformance in SDGs 8–11, suggesting the need for transformative actions. Through network analysis, the research reveals complementarities among these SDGs. Notably, the SDG space divides into socio-economic and ecological clusters, with SDG 6 (Clean Water and Sanitation) central to both. Additionally, SDG 8 (Decent Work and Economic Growth) and SDG 9 (Industry, Innovation, and Infrastructure) act as bridges, while greater synergies exist between SDG 12 (Responsible Consumption and Production) and SDG 13 (Climate Action). An in-depth view at the indicator-level shows a core-periphery structure, emphasizing indicators like SDG 6.2 (Wastewater Treatment Rate) and SDG 6.6 (Recycled Water Production Capacity per capita) as pivotal. This study confirms the urban SDG space's stability and predictiveness, underscoring its value in steering well-aligned policy decisions for sustainable growth.

SDG space: Revealing the structure and complementarities among sustainable development goals in China

To achieve the United Nations Sustainable Development Goals (SDGs) by 2030, it is essential to understand the interlinkages between the goals. Previous research has investigated these interactions by focusing on their correlations. However, few studies have systematically prioritized them from a structural perspective through the complementarity measurements and empirically validated their policy effectiveness, such as which goals and indicators impact other SDGs most, especially in China. This study introduces a new concept known as the ‘SDG space’ by employing the "Product Space" approach in network science and economics. It measures the complementarities between SDGs and indicators through their network structures in investigating effective policy design. Using the most recent available but unpublished data for 31 Chinese provinces, the SDG space was constructed at the 17 SDG and 118 indicator levels by analyzing the probability of comparative advantage between each SDG or indicator pair co-occurring in the same place. Historical data confirm that in the ‘SDG Space’ network, a goal connected to other well-developed goals would enjoy better future growth and vice versa. The structure reveals that SDG 4 (Quality Education), 15 (Life on Land), and 1 (No Poverty) are critical goals with transformative synergies to other SDGs. Furthermore, we identified strong complementarities between land-based ecosystems and clean water and climate actions using the finer-grained indicator-level space. These findings help pave the way for China toward a sustainable future by providing science-based policy recommendations for decision-makers. They can be generally applied to other countries and regions to assist in navigating toward sustainable development.

Sustainable urban expansion and human development in China: An analysis using an environmentally improved human development index

AbstractUrban expansion poses a substantial challenge to sustainable regional development, but the spatiotemporal relationship between urban expansion and human development remains unclear. This paper proposed an improved human development index (IHDI) incorporating an environmental dimension and analyzed the spatiotemporal correlation between urban expansion and IHDI growth in China from 1990 to 2020. Significant increases in both urban expansion and human development levels were observed, and environmental differences between Eastern and Western China were effectively detected based on the IHDI, which also well reflected the geographical patterns bounded by the Hu Huanyong Line. In 1990, a significant disparity existed in the IHDI between the provincial capital cities and the entire province; by 2020, this gap had narrowed, and the prioritized development of provincial capitals subsequently propelled regional growth. Although positive correlations between urban expansion and IHDI growth in China were found from 2010 to 2020, the percentage of expansive negative decoupling between urban expansion and IHDI growth gradually increased, indicating a less sustainable relationship involved in urban expansion and human development in China. This study contributes to a comprehensive understanding of the spatiotemporal correlation between urban expansion and human development, and provides valuable insights for achieving sustainable development goals in China.

Study on the factors influencing ecological environment and zoning control: a study case of the Dongting Lake area

IntroductionProtecting the ecosystem of the Dongting Lake area is of utmost importance for maintaining ecological balance and achieving human well-being.MethodsThis study identifies the key factors influencing the remote sensing based ecological index (RESI) in the Dongting Lake area based on the spatial and temporal evolution characteristics of the RESI and environmental changes and anthropogenic disturbance factors. The priority zoning for ecological restoration was delineated in combination with the anthropogenic composite index (ACI). By exploring the influence of anthropogenic disturbances on RESI, the zoning locations were determined using spatial statistics and linear regression methods.ResultsThe overall RESI of the Dongting Lake area showed a decline from 2001 to 2020, with the mean value decreasing from 0.52 to 0.48. High-quality zones were mainly located in mountainous and forested areas, while low-quality zones were mainly distributed in more developed cities in the east urban area. Anthropogenic factors were the main reasons for the decline in the ecological environment, while natural factors showed a positive correlation with RESI. Based on the RESI and ACI, four ecological control zones (H-H, H-L, L-H, and L-L) were delineated, which accounted for a total of 45.66% of the Dongting Lake area. Among them, 3.91% required immediate control and management, while 17.80% required artificial maintenance. This study explores the influencing factors and mechanisms of the ecological environment quality in the Dongting Lake area, and explores the effective spatial paths for the implementation of ecological restoration zoning control and differentiated restoration strategies in the Dongting Lake area.DiscussionThis study provides a scientific basis for mitigating ecological and environmental problems in the Dongting Lake area, and provides a reference for ecological restoration and regulation and the realization of sustainable development goals in China and global regions with complex environmental problems.

Prioritizing sustainable development goals in China based on a comprehensive assessment accounting for indicator interlinkages

Prioritizing areas and targets, coordinated with development gaps, is necessary to achieve the sustainable development goals (SDGs) in the face of resource limitations resulting from coronavirus disease 2019 (COVID-19). The SDG interlinkages further exacerbate the difficulty inherent in addressing these goals. However, previous studies failed to consider the indicator interlinkages in the process of aggregate performance assessments and thus cannot identify priorities based on indicator interlinkages and development gaps. This study integrated network analysis and the technique for order of preference by similarity to ideal solution (TOPSIS) method to convert indicator interlinkages into indicator weights and then assessed the aggregate performance of the SDGs. Subsequently, the prioritized provinces and indicators were identified at the subnational level of China based on the aggregate performance of the SDGs, SDG growth rate and indicator interlinkages. The per capita net income of rural residents (2.3.2), the proportion of people living below 50% of the median income (10.2.1), and the under-five mortality rate (3.2.1) were the most contributing indicators to the aggregate performance of the SDGs, while the common challenges dealt with SDG 16, SDG 6, SDG 7 and SDG 12. Moreover, accelerating the development of western provinces would make it possible to overcome the traditional imbalance status, while resource-driven provinces should be paid special attention due to their poor aggregate performance of the SDGs and their lower growth rate. Thus, a coordinating strategy is highly recommended for allocating resources to the priority targets and finally achieving the SDGs.

Achieving clean energy via economic stability to qualify sustainable development goals in China

The aim of the study is to determine the clean energy future based on economic stability in the lines of Strategic Development Goals (SDGs). The Sustainable Growth Goals are an international strategy for guiding countries toward sustainable growth. When developing nations like China achieve one Sustainable Development Goal (SDG), it frequently forces them to make concessions in other areas, threatening sustainability as a whole. The reputable study looked at data from 2000 to 2020. The unit root examination and the generalized technique of moments are employed for inference. Since both energy consumption and energy costs are expected to rise under the growth circumstances, the research concludes that further investment in the energy industry is warranted. There is a trade-off among financial development and ecological sustainability when more money is put into other investments and energy use. The presents multiple policy implications for the associated stakeholders.

China’s Pilot Free Trade Zones and Company’s Sustainability Performance

This paper investigates the role of pilot free trade zones (FTZs) as a policy testing terrace for achieving the sustainable development goals in China. Using a sample of data from Chinese companies that were listed in Shanghai and Shenzhen A stocks, from 2009 to 2021, a difference-in-difference model is employed to assess the impact of FTZ establishment on sustainable development. The findings indicate that establishing FTZs significantly enhances a company’s sustainability performance, particularly in terms of environmental and social responsibility performance. They also foster an innovation-friendly environment, facilitating sustainable development goals in both institutional and innovation domains. Furthermore, the policy effects of FTZs exhibit a mixed picture, involving both a curse effect of political resources and a reinforcement effect of environmental protection goals. Additionally, the Matthew effect and spillover effect are observed in FTZs. Finally, this paper explores the linkages between FTZ construction and China’s “dual circulation” development pattern, revealing the effective role of FTZs in conjunction with new energy model cities for enhancing sustainable development. However, the linkage between FTZs and the Belt and Road Initiative is currently limited in terms of positively impacting a company’s sustainability performance.

Role of green technological innovation in the green economic growth in China's natural resource markets

This study examines the impact of green technological innovation in China's natural resource markets on achieving green growth from 2000 to 2020 using a Generalized Method of Moments (GMM) model. It emphasizes the role of renewable energy in promoting the Green Total Factor Productivity (GTFP) and environmental sustainability. The results show that renewable energy technological innovation leads to an increase in GTFP in China as a whole and regionally in Western and Central parts of the country, enhancing the effectiveness of natural resource markets. Green innovation acts as a catalyst, promoting efficiency and carbon emission mitigation. This underscores the importance of innovation and technology in driving sustainable energy transitions in China. Overall, the findings highlight the significance of implementing renewable energy and innovation-driven strategies to address environmental concerns and achieve sustainable development goals in China.

An integrated approach to assess spatial and temporal changes in the contribution of the ecosystem to sustainable development goals over 20 years in China

Ecosystems are an important basis for promoting sustainable development goals (SDGs) through the provision of stable ecosystem services (ESs). In the past 20 years, China has implemented a series of forestry ecological development projects, resulting in the improvement of the ecological environment. In this context, changes in ESs in China may affect the contribution of ecosystems to the SDGs, but there is a lack of research in this area. Studies have shown that ESs can support multiple SDGs, and quantifying the contribution of ecosystems to SDGs is currently a research focus. However, few studies have quantified the extent of the contribution of different ESs to the SDGs, although these differences are generally assumed. To narrow this knowledge gap, we construct an assessment approach that integrates the extent of the contribution of different ESs to the SDGs and assesses the temporal and spatial dynamics of the contribution of ESs to the SDGs in China from 2000 to 2020. Our analysis results indicate that during the study period, fractional vegetation cover improved in China. In general, water provision, soil conservation, and food provision services improved, while carbon storage and biodiversity maintenance services declined. The contribution capacity of provincial ecosystems to the SDGs increased, except in Tibet, between 2000 and 2020. Overall, the contributions to the SDGs had obvious spatial differences. The research results can support policy formulation and research on ES management and SDGs.

Spatio-temporal changes in the causal interactions among Sustainable Development Goals in China

Extensive efforts have been dedicated to deciphering the interactions associated with Sustainable Development Goals (SDGs). However, these developments are hampered by a lack of efficient strategies to avoid beneficial synergies being offset by harmful trade-offs. To fill these gaps, we used causal diagnosis and network analysis methods to construct 1302 directed networks of SDGs for 31 provinces in China from 2000 to 2020. We observed a dramatic offsetting effect of SDG synergies and trade-offs in China from 2000 to 2020, with approximately 27% of trade-off indicator pairs turning into synergies and about 25% of the synergy indicator pairs turning into trade-offs. However, our findings suggested that prioritising the progress of high-frequency indicators in virtuous cycles could multiply the positive systemic effects of the SDGs. Moreover, controlling the transition from passive to active in the trade-off network of SDGs remains a challenge in advancing the SDGs holistically.

Analyzing and Prioritizing the Barriers and Solutions of Sustainable Agriculture for Promoting Sustainable Development Goals in China

Sustainable agriculture is crucial to the United Nations’ efforts to promote the Sustainable Development Goals (SDGs). However, to develop successful policies and strategies, it is necessary to assess the many obstacles to implementing sustainable agriculture. This study uses Multi-Criteria Decision Making (MCDM) techniques to analyze the challenges and opportunities facing sustainable agriculture in China’s economy, particularly in advancing the SDGs. Three enormous obstacles are found in the study, along with fifteen smaller ones that are broken down into economic, social, and environmental categories. The weights of the obstacles and sub-barriers are determined, and the solutions for sustainable agriculture are ranked using the Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW) methodologies. According to the AHP approach, economic issues are China’s most significant obstacles to sustainable agriculture, followed by environmental and social concerns. Climate change and a lack of financial incentives are the two highest-ranked sub-barriers. On the other hand, the SAW approach suggests that the best ways to achieve the SDGs through sustainable agriculture are through international cooperation, financial investments in sustainable agriculture, and alternative agricultural methods. In order to advance sustainable agriculture and the SDGs in China, the report advises policymakers to focus on strengthening institutional support, increasing public awareness, and making technological investments.

Sustainable development policies of renewable energy and technological innovation toward climate and sustainable development goals

AbstractThis study seeks to investigate the possibility of achieving Chinese climate and sustainable development goals (SDGs) with technological innovations and renewable energy policies. Currently, China is ranked first in global emissions. Hence, we utilized Chinese data of 1996Q1 2018Q4 to investigate the policy implication of technological innovation and renewal energy towards its climate goals. Economic development, technology, energy and environmental policies are incorporated in our study for clear insight on the impact of technology and renewable energy on China's climate goals. We adopt different scientific approaches (structural break, bound method of co‐integration, autoregressive dynamic lag‐ARDL dynamics and granger causality test) for both quantitative and theoretical analyses. Our discussions and policy inference are based on the findings from ARDL and granger causality analyses. Findings from ARDL tests debunk the inverted U‐shape EKC hypothesis for China. Technological innovations and renewable energies are found impacting favorably on Chinese environment by reducing carbon emissions. Output derived from Causality supports the results from ARDL with nexus established amongst the selected instruments. From the findings, we conclude by advocating for policy to be framed on renewable energy sector through investment and technological boosting towards a SDG for China.

Urban Ecological Environment Quality Evaluation and Territorial Spatial Planning Response: Application to Changsha, Central China.

Scientific territorial spatial planning is of great significance in the realization of the sustainable development goals in China, especially in the context of China's ecological civilization construction and territorial spatial planning. However, limited research has been carried out to understand the spatio-temporal change in EEQ and territorial spatial planning. In this study, Changsha County and six districts of Changsha City were selected as the research objects. Based on the remote sensing ecological index (RSEI) model, the spatio-temporal changes in the EEQ and spatial planning response in the study area during 2003-2018 were analyzed. The results reveal that (1) the EEQ of Changsha declined and then rose between 2003 and 2018, showing an overall decreasing trend. The average RSEI declined from 0.532 in 2003 to 0.500 in 2014 and then increased to 0.523 in 2018, with an overall decrease of 1.7%. (2) In terms of spatial pattern changes, the Xingma Group, the Airport Group and the Huangli Group in the east of the Xiangjiang River had the most serious EEQ degradation. The EEQ degradation of Changsha showed an expanding and polycentric decentralized grouping pattern. (3) Massive construction land expansion during rapid urbanization caused significant EEQ degradation in Changsha. Particularly, the areas with low EEQ were concentrated in the areas with concentrated industrial land. Scientific territorial spatial planning and strict control were conducive to regional EEQ improvement. (4) The prediction using the urban ecological model demonstrates that every 0.549 unit increase in NDVI or 0.2 unit decrease in NDBSI can improve the RSEI of the study area by 0.1 unit, thus improving EEQ. In the future territorial spatial planning and construction of Changsha, it is necessary to promote the transformation and upgrading of low-end industries into high-end manufacturing industries and control the scale of inefficient industrial land. The EEQ degradation caused by industrial land expansion needs to be noted. All of these findings can provide valuable information for relevant decision-makers to formulate ecological environment protection strategies and conduct future territorial spatial planning.

High environmental costs behind rapid economic development: Evidence from economic loss caused by atmospheric acid deposition

The rapid growth of energy-intensive and high-emission industries has propelled China's economy but has also led to massive levels of air pollutant emissions and ecological problems, such as acid deposition. Despite recent declines, atmospheric acid deposition in China is still severe. Long-term exposure to high levels of acid depositions has a substantial negative impact on the ecosystem. Evaluating these hazards and incorporating this issue into planning and decision-making processes is critical to achieving sustainable development goals in China. However, the long-term economic loss caused by atmospheric acid deposition and its temporal and spatial variation in China is unclear. Hence, the aim of this study was to assess the environmental cost of acid deposition in the agriculture, forestry, construction, and transportation industries from 1980 to 2019, using long-term monitoring, integrated data, and the dose–response method with localization parameters. The results showed that the estimated cumulative environmental cost of acid deposition was USD 230 billion, representing 0.27% of the gross domestic product (GDP) in China. This cost, was particularly high for building materials, followed by crops, forests, and roads. Temporally, the environmental cost and the ratio of environmental cost to GDP decreased from their peaks by 43% and 91%, respectively, because of emission controls targeting acidifying pollutants and promotion of clean energy. Spatially, the largest environmental cost occurred in developing provinces, indicating that more stringent emission reduction measures should be implemented in these regions. These findings highlight the huge environmental costs behind rapid development; however, the implementation of reasonable emission reduction measures can effectively reduce these environmental costs, providing a promising paradigm for other undeveloped and developing countries.

Water-climate change extended nexus contribution to social welfare and environment-related sustainable development goals in China.

Climate change exacerbates uncertainties in water resource management, water supply, and treatment that are energy intensive and then exert great pressure on climate change mitigation; hence, interrelated and contradictory characteristics within the water-climate change (WC) nexus system are needed to be studied. The nexus thinking and coordination of WC would impact many realistic practices and assist in sustainable socioeconomic development since traditional single-target policies have sometimes been out of function. Hence, the ability to direct water production and use as well as climate change mitigation has become a hotspot recently. Furthermore, we find that there has been no complete research on reviewing the impacts of the WC nexus in different areas on the Sustainable Development Goals (SDGs). Hence, this paper builds a core nexus of WC and then analyzes those effects on social and environmental aspects in many areas, including sewage treatment, energy transition, waste treatment, land management, and ocean management. This paper discusses how WC interlinkages are utilized to realize SDGs in those areas. Moreover, uncertainties derived from exogenous hydrology, climate change, and anthropogenic endogenous systems for realistic problems appeal to gradually increasing concern. Finally, implications offer valuable guidelines for integrated management of water and carbon emissions, as well as sustainable socioeconomic development in the future.

Sharing economy and sustainable supply chain perspective the role of environmental, economic and social pillar of supply chain in customer intention and sustainable development

Sustainable development is a global requirement, due to extensive economic and environmental issues, which requires research emphasis. Thus, the purpose of this study is to investigate the effect of sustainable supply chain management (SSCM) practices of sharing economy platforms on sustainable development goals (SDGs). This study addresses SSCM in terms of three pillars, the environmental pillar, economic pillar, and social pillar. The target respondents of the study are customers having relevant knowledge and sharing economy experience from China. Six hundred and fifty respondents are selected via Amazon Mechanical Turk, and questionnaires are distributed electronically. Only Chinese customers are selected for the survey. Two hundred and sixty questionnaires are used in the data analysis, which is done using the statistical tool AMOS. The results report a significant relationship between SSCM practices of sharing economy platforms and SDGs. According to the results, the three pillars of SSCM, are of key importance for SDGs. These pillars have a positive effect on promoting customer intention, which further promotes SDGs. The findings of the study are helpful for various organizations hoping to achieve SDGs in China through SSCM practices of sharing economy platforms.