Improvement Of Environmental Efficiency Research Articles

Industrial environmental control of polycyclic aromatic hydrocarbons in organic fuel combustion product

RELEVANCE of this study lies in the computational justification of the choice of the installation location of a multipoint sampling probe in the measuring section of the flue of boiler plants of energy enterprises and thermal power plants that have a significant negative impact of emissions on the environment, in order to increase the reliability and representativeness ofinstrumental measurements during industrial environmental control (PEC) of polluting emissions (PE). PURPOSE. Improving the environmental safety of thermal power plants in the current conditions of the introduction of state principles of technological regulation of emissions is associated with the establishment of technological emission indicators for each source of atmospheric pollution at energy enterprises with a significant negative impact on the environment. In this regard, energy enterprises should carry out round-the-clock monitoring of PE, which requires reliable instrumental control of the content of marker substances in the combustion products of power boilers by determining a representative sampling point on the flue or chimney of an energy boiler installation. METHODS. The paper uses methods of computer simulation of gas dynamics to determine the local fields of concentration of PE and flow velocity and assess their unevenness in the flue of an energy boiler. RESULTS. Using the example of an operating energy boiler plant of a thermal power plant, a control section of the flue was determined to ensure industrial environmental control of marker substances in the combustion products of organic fuels. The average values of the concentration of PE and the flow rate of combustion products of local fields in the calculated sections and their values on the longitudinal axis of the boiler flue are determined, and their uneven distribution is estimated. CONCLUSION. The obtained research results can be used at energy enterprises and thermal power plants to justify the choice of a control representative measuring section for conducting a PEC, and to develop an environmental efficiency improvement program (EEIP).

Investigating Environmental Efficiency Upgrading Path of Construction Waste Based on Configuration Analysis

The rapid development of urbanization and large-scale engineering projects have led to the output of a large quantity of construction waste, which also puts great pressure on the environment. Environmental efficiency, as one of the criteria for measuring sustainable development, can be used to measure the impact of enterprises, industries, or regions on the environment when creating economic value. This research takes 30 provinces in China as samples and uses configuration analysis and fuzzy-set qualitative comparative analysis (fsQCA) methods to analyze the combined effects of factors affecting the environmental efficiency of construction waste generation, to find upgrading paths to improve environmental efficiency. The results indicate that five configurations can promote provinces to achieve high environmental efficiency, which can be classified into three types: population density, technological innovation, and policy economy. These three configurations reveal the comprehensive impact of systematic correlations among population, technology, policy, and economic factors on environmental efficiency improvements. This research provides a certain theoretical reference for exploring the influencing factors of environmental efficiency and provides theoretical guidance for selecting different paths to improve the environmental efficiency of construction waste in regions with different social conditions.

Development of green and low-carbon agriculture through grain production agglomeration and agricultural environmental efficiency improvement in China

Grain production agglomeration (GPA) is the development trend of grain production all over the world, and it is also an important way to promote grain growth and low-carbon development of agriculture. However, in-depth research on whether the GPA can increase the agricultural environmental efficiency and the influencing mechanisms is still lacking. Based on China's provincial data from 1990 to 2019 and the superefficiency DEA model, this study measures the level of GPA and the environmental efficiency of grain production (EEGP) in different grain production functional areas of China. An econometric methods are also used to empirically analyse the impact GPA on the EEGP. The results shows that the level of GPA in China is steadily increasing, and the impact of GPA on EEGP follows a U-shaped trend of initially declining and then rising. China's GPA has exceeded the minimum value of the U-shaped curve and is currently in the stage of promoting the EEGP. Specifically, the level of GPA in China's main grain-producing areas is higher than that in main grain-marketing areas and grain production-marketing balanced areas, and the GPA in main grain-marketing areas and grain production-marketing balanced areas have not yet crossed minimum value of the U-shaped curve. The GPA affects EEGP through farmland scale management and agricultural technology spillover. This study offers a new perspective to explain the changes in China's EEGP, and also provides reference for the EEGP in different regions of the world.

Measurement and decomposition of environmental efficiency in the power industry based on multi-hierarchy meta-frontier BAM model

The improvement of the environmental efficiency in the power industry is crucial in promoting energy conservation and emission reduction to achieve sustainable development. This study constructs a multi-hierarchy meta-frontier BAM model to measure environmental efficiency considering technological and regional heterogeneity. Using this model, we measure and decompose the environmental efficiency of the power industry in 30 Chinese provinces during 2008–2020. The main results are as follows. (1) Beijing and four other provinces have the highest environmental efficiency among the high-technology group, while Jiangsu and Hainan have the highest environmental efficiency among the medium-technology and low-technology groups, respectively. There are significant differences in environmental efficiency among provinces within each technology group. (2) Regional and technical inefficiencies in the high-technology and medium-technology groups are the main factors influencing inefficiency. However, the inefficiency of the low-technology group is 0.36, while technical inefficiency is 0.34. (3) The environmental efficiency of all three technical groups has improved as a result of technological progress. Environmental efficiency improvement is the largest in the high-technology group but only by 1%. This study extends conventional approaches of environmental efficiency assessment and enhances the comprehension of the operation of the power industry in various Chinese provinces. The research outcomes provide insights for formulating more precise and effective strategies towards the sustainable evolution of China's power sector.

Explaining the environmental efficiency capability of energy mix innovation among the Nordic countries

Improving the environmental efficiency performance of energy mix is important to the global carbon neutrality goal. Given this motivation, this study delves into providing more explanation about the role of innovation approaches to coal, oil, and natural gas energy resources in the Nordic economies i.e., Denmark, Finland, Norway, and Sweden during the period 2000–2019. To achieve this objective and reach an evidence-based insight for policy formulation, the present study leveraged robust panel econometrics estimators that circumvent cross-sectional dependence and heterogeneity issues in the investigated blocs. The empirical evidence shows that economic growth (GDP), coal energy, oil and natural gas contribute to the Nordic economies' environmental degradation in the short- and long-run. Contrarily, innovation via environmental-related patents mitigates environmental degradation, especially in the long run. Furthermore, the interaction models, i.e., applying innovative approaches in the energy mix's consumption, can mitigate carbon emissions across the countries, thus significantly improving environmental sustainability. Specifically, innovative approaches in coal, oil, and natural gas consumption improve environmental sustainability by mitigating carbon emissions, thus delivering respective environmental efficiency improvements of ∼94%, ∼108%, and ∼123%. Additionally, Granger causality evidence further suggests that the examined factors are significant drivers of the environmental indicator. Regarding policy insight, this study affirms that further improvement in energy savings is vital to continuously deploying the conventional energy mix.

Effect of mandatory cleaner production audits on manufacturing firms’ environmental efficiency in China: Renovation or innovation?

Technological innovation is an important solution that can help improve environmental efficiency. However, the role of technological renovation in enhancing environmental efficiency has been ignored. This study provided initial evidence of the effects of cleaner production audits in China on manufacturing firms' environmental efficiency, which was measured by the emissions of sulfur dioxide and chemical oxygen demand per total output. Cleaner production audits were used as exogenous shocks. Their impact was estimated using the staggered difference-in-difference method combined with samples of ever-treated or never-treated firms using propensity score matching. The findings showed that firms that conducted cleaner production audits (vs. those that did not) experienced 4.7% and 11.9% reductions in the emission intensities of sulfur dioxide and chemical oxygen demand, respectively. Cleaner production audit implementation significantly improved firms' environmental efficiency. Additionally, a heterogeneous analysis showed that non-heavy polluters, small and medium-sized firms, and non-state-owned firms demonstrated the most improvement in environmental efficiency. Finally, the mechanism analysis results showed that firms' technological renovation in the production process is the main solution for improving environmental efficiency. This is a feasible and cost-effective way of reducing resource consumption and pollutant emissions. Accordingly, a cleaner production audit plan for different countries should be formulated with a focus on technological renovation in the production process. It should entail clean-cut incentives to stimulate firms to perform technological innovation, thereby continuously improving firms' environmental efficiency. This study sheds light on the environmental impact of cleaner production audits and regulated firms’ choices between technological renovation and innovation.

Quantifying the health benefits of improving environmental efficiency: A case study from coal power plants in China

It is unclear whether improving the environmental efficiency (output per input) of coal power plants mitigate premature deaths due to air pollution. This study proposed an interdisciplinary framework based on a frontier method to quantify the health benefits of improving the environmental efficiency of power plants. A case study based on the input and output data of 316 coal power plants in China in 2010 was conducted to verify the functionality of the proposed framework. The main findings were as follows: (1) the environmental efficiency improvement of power plants can play an important role in mitigating health hazards caused by air pollutants; (2) the mitigation potential of premature deaths has spatial variations; and (3) the emission reduction potential of air pollutants is not correlated with the mitigation potential of premature death at the provincial level. These results highlight the importance of understanding the regional potential for health hazard mitigation as well as the crucial need to implement suitable policies for improving environmental efficiency.

Environmental assessment of hydrogen: does hydrogen matter for environmental efficiency improvement?

ABSTRACT This paper first measures the level of environmental efficiency (EE) in 72 countries between 2001 and 2019 by adopting the Global Malmquist-Luenberger productivity index in the framework of the super slack-based-measure model. Then, by using the instrument variable-generalized method of moments (IV-GMM) approach, we examine the role of hydrogen development in increasing EE. We also pay attention to the asymmetric effect, the moderating effect, and the mediating effect in the hydrogen development-EE nexus. Several findings are highlighted as follows: (1) Hydrogen development can significantly increase EE. (2) The marginal impact of hydrogen development on EE is significantly positive in countries with a high level of EE, while it is insignificant in countries with a low level of EE, which shows the asymmetric EE enhancement effect of hydrogen development. (3) Foreign direct investment is a key moderating variable in the nexus between hydrogen development and EE, which can strengthen this positive nexus. And (4) mediating effect analysis documents that technological progress is an effective mediating variable through which hydrogen development affects EE. According to these results, we propose several policy implications for the acceleration of hydrogen development and EE.

Decomposition analysis of aggregate embodied CO2 intensities in import products of the construction industry from the perspective of border-crossing frequency

Sustainable development of the construction industry requires balancing economic growth and resulting environmental impacts. The aggregate embodied CO2 intensity (CI), defined as the ratio of embodied CO2 emissions per embodied value added, has been studied in previous research to evaluate the environment performance and mitigation policies from a final demand perspective. However, there is a relative lack of studies analysing CI from the perspective of border-crossing frequency (BCF), the number of national border crossings of traded products. This paper first analyses the CI in import products of the construction industry at each BCF under a multi-regional input–output framework and decomposes the change in CI in import products into the value-added distribution factor and the efficiency factor under conditions of BCF. The results indicate that CIs in import products of construction industries experienced declines from 2000 to 2014. The value-added distribution factor appeared to have an inhibitory effect only at the first BCF on the growth in CIs in import products of construction industries and prompted growth in CIs in import products at higher-order BCFs. The efficiency factor had a significant promoting effect on the decline in CIs in import products of construction industries but this promotion effect became weaker with an increase in the level of BCF. The reduction effect of the value-added distribution factor on the changes in CIs in import products of construction industries was smaller than that of the efficiency factor, indicating that the decrease in the CI was largely determined by the improvement in environmental efficiency at each BCF. Driving force analysis of the change in CI in import products of the construction industry from the perspective of BCF can effectively help in adjusting the import structure in order to control the growth of CI in import products.

The influence of institutional quality on environmental efficiency of energy consumption in BRICS countries

It has been observed in the literature that efficient energy use reduces production cost and carbon emissions into the environment. This study further argues that institutional quality enhances environmental efficiency of energy consumption. Therefore, this study was carried out with the aim of exploring the influence of institutional quality on environmental efficiency of energy use in BRICS countries for the period from 2001 to 2020. A two-step procedure was carried out to achieve the objectives of this study. First, the environmental efficiency of energy consumption was estimated using the stochastic Frontier analysis (SFA) technique. The results of the SFA approach show that the average environmental efficiency of energy use in BRICS countries is 61%, ranging from 37.5 to 100%. Furthermore, there is 39% room for improvement in environmental efficiency of energy use in BRICS countries. Moreover, the SFA results also indicate that South Africa has the highest average environmental efficiency, and China has the lowest environmental efficiency score among BRICS countries. Second, this study employed the system GMM technique to explore the impact of institutional quality on environmental efficiency of energy consumption in BRICS countries. The results of the system GMM show that institutional quality plays a significant role in improving environmental efficiency of energy consumption in BRICS countries. Finally, this study recommends some policy measures based on the study’s findings to improve environmental efficiency of energy consumption.

Policy, technical change, and environmental efficiency: Evidence of China's power system from dynamic and spatial perspective

Feed-in tariff (FIT) and renewable portfolio standard (RPS) policies have been implemented to facilitate wind and solar power technologies with the aim of achieving sustainable development in power system. It is essential to study how efficient these policies are in accelerating technical progress and how efficient the power system is in balancing development and environmental protection. Dynamic network data envelopment analysis and the global Malmquist productivity index are first employed to study the environmental efficiency and technical progress, after which a dynamic spatial Durbin model is applied to analyze the impact of policies on technical progress. The results reveal that both FIT and RPS lead to technical progress which is the main driving force in environmental efficiency improvement, but that RPS performs better than FIT. From a spatial perspective, the adjacent regions usually show similar characteristics in technical progress. Therefore, future policy design should carefully consider the regional agglomeration effects and should effectively strengthen the implementation of RPS policy.

Does improvement of environmental efficiency matter in reducing carbon emission intensity? Fresh evidence from 283 prefecture-level cities in China

While promoting environmental efficiency is widely perceived as one of the panaceas for solving environmental issues in China, little effort has been made to identify whether environmental efficiency improvement helps to reduce carbon emission intensity (CEI). Therefore, the work presented in this study remedies the inadequacies in the previous literature by investigating the linkages between environmental efficiency and CEI, by explicitly considering its spatiotemporal heterogeneous effect and dynamic measurement. We first measure the environmental efficiency (EE) and its growth (environmental total factor productivity) at prefecture level in China during 2003–2016 by incorporating a recently modified epsilon-based data envelopment analysis technique in the global Malmquist–Luenberger index. A spatial panel regression approach is then applied to reveal the impact mechanism of EE and its growth on the CEI. The empirical results confirm that promoting EE and environmental technology efficiency can help mitigate the urban CEI. However, the impact of economic scale efficiency on the CEI reduction has not been verified, indicating great room for CEI mitigation by optimizing the urban production scale and reducing production redundancy. Evidence from the spatiotemporal econometric analysis shows a spatially heterogeneous effect of EE on CEI, and the strength of influence tends to decrease over time. The findings also reveal that enhancing EE matters in reducing CEI for southern and western cities. Finally, several control variables have negative direct and indirect (spillover effect) effects on CEI reduction, including urbanization, industrial structure, and foreign direct investment. Our findings suggest that strengthening the synergistic effect between environmental pollution governance and carbon emission control by enhancing EE to promote low-carbon development in Chinese cities.

Evolution trend and promotion potential of environmental efficiency of dairy farming in china from the perspective of “club convergence”

There are differences in resource endowments, environmental regulations, and production functional areas among different regions in China, which makes dairy farming have certain heterogeneity and imbalance in pollution control, which is mainly reflected in the differences in the environmental efficiency of dairy farming among regions. By analyzing the convergence trend of the dairy farming environment in different regions and scales, it is helpful to predict the potential of improving environmental efficiency, and promote the high-quality development of dairy farming. Based on the dairy farming data of 27 provinces (cities and districts) in China from 2004 to 2019, the SBM model of unexpected output was used to measure the environmental efficiency of dairy farming on different scales. It was found that there were certain differences in the environmental efficiency of dairy farming in China. The overall environmental efficiency of dairy farming showed a “U" evolution trend, including small-scale, medium-scale, and large-scale. The average values of their environmental efficiency were 0.6859, 0.6930, and 0.6855 respectively, and the environmental efficiency of medium-scale dairy farming was the best. The convergence analysis of environmental efficiency showed that there was a conflict between the traditional σ convergence and β convergence results. However, the club convergence showed that the environmental efficiency of small-scale dairy farming converged in general, which could be further divided into two club convergence. The environmental efficiency of medium-scale and large-scale dairy farming did not converge in general but did converge in four different clubs, respectively. Taking the highest environmental efficiency value in the “club” as the reference, the potential to improve the environmental efficiency of dairy farming in different sizes was calculated. The prediction results showed that the gap between the actual value and the potential value was narrowing. It is expected that the potential to improve the environmental efficiency of dairy farming in China will remain above 10% in the next 10–20 years. Based on the above studies, this paper put forward some policy suggestions, such as changing the development direction of dairy farming, changing scale expansion to structural upgrading, implementing differentiated environmental efficiency improvement strategies, narrowing the efficiency gap between regions, paying attention to the input-output structure of factors, and improving the efficiency of breeding environment from the perspective of “eating” and " emission ".

Dynamic simulation of industrial synergy optimisation pathways in Beijing-Tianjin-Hebei region driven by water environment improvements

China is promoting the coordinated development of the Beijing-Tianjin-Hebei region as a national strategy project; however, water scarcity and water quality problems will become a bottleneck restricting high-quality development. This study aimed to explore a feasible industrial synergy optimisation pathway to realise the collaborative development of economic growth and water environment improvement, combined with incentives for environmental efficiency improvement and reclaimed water utilisation. Research methods integrate input-output modelling, system dynamics, and multi-objective programming to construct a complex multi-region model. A dynamic simulation measure was adopted to simulate the economic and environmental impacts of different approaches that mix from 2020 to 2030 under water resource environment constraints. According to the simulation results, the annual economic growth rate of the entire region can exceed 6.1%, and the emission intensities of water pollutants decrease by more than 60.0%. In addition, traditional manufacturing industries that achieve cross-regional synergy can still release location advantages without negative environmental impacts. Furthermore, regional collaborative development optimises the allocation of water resources and alleviates water stress. Moreover, the pollutant emission reduction effect of source control in Hebei was more effective than in other cities. Finally, reclaimed water, as the end treatment measure, has the largest marginal effect on improving the trade-off between economic and environmental improvement in the long run. This study provides a new approach for multi-regional industrial synergy development and optimal allocation of resources and contributes to the high-quality development of the watershed.

Does Fiscal Stress Improve the Environmental Efficiency? Perspective Based on the Urban Horizontal Fiscal Imbalance

The resilience of the fiscal system has a driving effect on environmental governance, and it is always a challenge to solve the problem of matching fiscal power with administrative power. Based on the panel data of 193 cities in China from 2013 to 2018, the data envelopment analysis method was used to evaluate the comprehensive indicators of urban environmental efficiency. The impact of fiscal stress on environmental efficiency is examined from the perspective of urban horizontal imbalance. We find that the smaller the fiscal stress, the higher urban environmental efficiency. The endogeneity is mitigated by using instrumental variables and the generalized method of moments, and the results are still robust after considering the interference of sample selection bias and variable estimation bias. At the same time, the impact of fiscal stress on environmental efficiency varies with spatial location, ecological strategic planning, economic development, and other factors, especially in southern cities, cities in the Yangtze River Basin, and cities in urban agglomerations, where reducing fiscal stress promotes environmental efficiency. In addition, green production and public environmental services are important channels for its role, and the rational allocation of self-raised funds can effectively moderate the improvement of environmental efficiency.

Manufacturing transfer and environmental efficiency: Evidence from the spatial agglomeration of manufacturing in China

Manufacturing transfer is an important factor in optimizing the spatial distribution of resources and promoting regional environmental efficiency. Based on the manufacturing data of 30 provinces in China from 2005 to 2017, the spatial Durbin model is used to investigate the impact of three types of manufacturing transfer and spatial agglomeration effects on environmental efficiency under the spatial weight matrix of economic distance. The results show that the improvement of environmental efficiency is inhibited by the transfer of labor-intensive manufacturing but facilitated by the spatial agglomeration of such manufacturing. The transfer of capital and technology-intensive manufacturing has no significant impact on environmental efficiency. Environmental efficiency is significantly improved by the spatial agglomeration of technology-intensive manufacturing but significantly inhibited by that of capital-intensive manufacturing. Third, the impact of three types of manufacturing transfer on environmental efficiency is analyzed from the perspective of regional heterogeneity. This paper puts forward relevant policy suggestions from the perspectives of manufacturing transfer, the agglomeration effect, so as to further improve the environmental efficiency.

The Role of Foreign Technology Transfer in Improving Environmental Efficiency: Empirical Evidence From China’s High-Tech Industry

In recent years, China’s high-tech industry has made remarkable technological progress, but it has also brought serious environmental pollution, which has aroused great concern about its environmental efficiency. Although foreign technology transfer is considered as important ways for technological progress of the high-tech industry, the existing research on what role foreign technology transfer plays in improving the environmental efficiency of the high-tech industry is still lacking. Based on China’s interprovincial panel data from 2008 to 2017, we evaluated the environmental efficiency of the high-tech industry using the super-efficiency slacks-based measure (SBM) model with undesirable outputs. We then used the Tobit model to analyze the impact of technology introduction (TI) and foreign direct investment (FDI)—two major types of foreign technology transfer—on the environmental efficiency of the high-tech industry. The results of the super-efficiency SBM model show that the average environmental efficiency of China’s high-tech industry is only 0.4375. Except for Guangdong, Shanghai, and Beijing, most of the provinces in China have low environmental efficiency. The provinces with high environmental efficiency are in the eastern region, whereas the provinces with low environmental efficiency are concentrated in the central and western regions. Tobit regression results confirm the difference in the role of technology import and foreign direct investment in the improvement of environmental efficiency in China’s high-tech industry. Technology introduction has a significant positive impact on environmental efficiency. FDI also promotes environmental efficiency, but it is not statistically significant. These findings were confirmed by a series of robust tests. This study not only deepens our understanding of the environmental efficiency of China’s high-tech industry but also expands the theoretical research on the relationship between technology transfer and environmental efficiency.

Does industrial collaborative agglomeration improve environmental efficiency? Insights from China's population structure.

Nowadays, the development of green economy and the improvement of environmental efficiency have been a hotspot in both academia and industry. Especially, the effect of the collaborative agglomeration of manufacturing and productive services industries on environmental efficiency has drawn attention from Chinese policymakers, during a critical period of industrial transformation and upgrading and ecological civilization construction in China. However, few studies have explored whether and how industrial collaborative agglomeration affects environmental efficiency based on population structure perspective. To bridge this gap, using the methods of the stochastic frontier approach (SFA), the moderating effect of population structure, and the spatial effect, and employing the panel data of 66 cities in eastern China during 2009-2018, this paper studies the effect of industrial collaborative agglomeration on environmental efficiency and measure the fluctuates of influence including population structure. The results show that industrial collaborative agglomeration has the effect of improving environmental efficiency, and both of them have strong spatial spillover effect. Direct effect of the industrial collaborative agglomeration is more significant positive than indirect effect. It indicates that the environmental efficiency is affected by the industrial collaborative agglomeration in both the local region and neighboring regions. In addition, population density, aging and quality play a positive moderate role by strengthening the spillover effect of industrial collaborative agglomeration, while the moderating effect of population urbanization is not significant. Then, the recommendations and policy implications to improve environmental efficiency are put forward based on the research results: optimizing the coordinated governance system of regional ecological environment, accelerating the innovation of industrial value chain, and promoting the sustainable development of industry and ecology with the advantage of population structure.

Dynamic Simulation of Integrated Cleaner Production Strategies towards High Quality Development in a Heavily Air-Polluted City in China

Air-polluted cities, mostly dominated by heavy industries, are facing the dilemma of economic growth and environment deterioration. Tangshan is the largest iron and steel manufacturing city in China, and its air quality rankings belong to the worst 10 among 168 monitored cities of China in a decade. It is extremely important to adopt cleaner production strategies to facilitate high quality development. This study originally created an integrated plan (DOMCLP) to propose feasible pathways to underpin policy making by local authorities and managers from multiple perspectives. These include “Top-Down” measures—financial subsides and environmental efficiency improvement from a macro vision and industrial restructuring from a mezzo vision—and a “Bottom-Up” strategy of optimal technology selection from a micro vision. The DOMCLP simulated the environmental and economic impacts of different cleaner production strategy mixes from 2020 to 2030. Under the cleaner production scenario, which integrates all three measures, the targeted annual economic growth rate can reach 6.56% over the study period without deterioration of the air environment, and air pollutant emissions can be reduced by more than 74%. Meanwhile, the production of the iron and steel industry can achieve a 43% capacity growth, in which the intensity of SO2 and NOx can be reduced by 97 and 87%, respectively. Furthermore, upgrading the optimal air pollutant control technology is proven to be more effective than other incentive measures and calls for systematic optimization and technology choice shift from end treatment to source and process treatment in the long run. This study proves that the integrated cleaner production strategies can realize a strong decoupling effect on the scale of −5.89 to −0.58 to accomplish balanced economic development and environmental improvement in heavily air-polluted cities, which is significant as other industrial cities begin to move toward a high quality development.

Sustainability assessment and improvement strategies research for typical arid and resource-developing regions.

Located in the Eurasian continent’s hinterland, Xinjiang is a typical arid and resource-developing region in China’s northwest. Problems such as excessive resource consumption, environmental pollution, and ecological imbalance are becoming severe, which have become the bottleneck that further restricts Xinjiang’s sustainable development. Due to its outstanding quantitative advantages, ecological efficiency has become a significant indicator and analytical tool for measuring the green economy and sustainable development. In this study, we analyzed ecological efficiency variation for Xinjiang’s 14 prefectures between 2001 and 2015 using a super-efficient data envelopment model (DEA), Malmquist Index, and Tobit model. These analyses indicated that: (1) The overall ecological efficiency level of Xinjiang is low, and development among regions is unbalanced, out of sync, lacks sustainability. (2) From 2001 to 2015, Xinjiang’s ecological efficiency showed a W-shaped rising trend and finally increased by 5.7%. It is due to the substantial improvement in environmental efficiency. (3) By analyzing the environmental efficiency and resource efficiency, 14 prefectures in Xinjiang consist of four development modes: low energy consumption and low emission, high energy consumption and low emission, low energy consumption and high emission, and high energy consumption and high emission. (4) Water resources are restricting factors of arid regions. In most prefectures, there exist excessive water resource investment, excessive COD, and NH3-N emissions. (5) By analyzing the Malmquist index, it shows that the technical progress index(TC) restricted ecological efficiency. In contrast, the technical efficiency index (EC) promoted ecological efficiency.(6)The ecological efficiency was positively correlated with the utilization of foreign capital, urbanization rate, and average education degree but negatively correlated with the marketization degree. The study has guidance and reference function for the sustainable development of Xinjiang—a vital corridor of the Silk Road Economic Belt, and also provides a reference to the research work of other arid resource-based regions.