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Identifying the high-quality economic growth pathways under the requirements of water conservation and water pollution reduction is pivotal to realize regional sustainable development. Combined with the theory of resource and environmental value, sustainable development, and environmental accounting, this paper innovatively introduces water resource liability (WRL) to measure water environmental pressure. This study takes the Yangtze River Economic Belt (YREB) as the research area and firstly conducts a spatial-temporal analysis of the WRL change in this region from 2013 to 2018. Then, the Tapio decoupling model is used to analyze the decoupling states and the decoupling stabilities between WRL and economic growth in the 11 provincial areas and 3 sub-regions of the YREB. Finally, the main internal factors affecting the decoupling states are identified from the perspective of decoupling decomposition. The main results show that: (1) The WRL of the YREB increases from 173.36 billion CNY in 2013 to 201.62 billion CNY in 2018, with an increase of 16.3%, showing an upward trend of fluctuation. The WRL of the lower reaches of the YREB is generally higher than those of the upper and middle reaches of the YREB from both the provincial and sub-regional levels. Chongqing has the lowest WRL with an average value of 7.03 billion CNY, while Shanghai has the highest with the average of 28.74 billion CNY. (2) The decoupling state between WRL and economic growth in the YREB is generally stable. The decoupling state of the downstream is better than that of the upper and middle reaches, and the decoupling stability index is 0.59, which is the most stable. (3) The internal influencing factors between WRL and economic development in the YREB include structural effect, technological effect, and silence effect, among which technological effect with the worst decoupling stability is the main driving factor. The findings of this study are crucial for policy makers to formulate targeted policies to decouple WRL from economic growth and to realize sustainable development in the YREB., (© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Carbon emission quota allocation plays a critical role in carbon emission reduction in an efficient and economic manner. However, the scientific assessment of carbon quota allocation schemes and thus making a reasonable decision depending on preference still confuses relevant decision makers. This study proposes a performance analysis framework for carbon quota allocation schemes by using a nonparametric frontier analysis approach from the perspectives of economic growth and energy conservation. Then, we apply this approach to evaluate the relative economic and energy conservation performances of 15 allocation schemes by reallocating the 2015 Chinese provincial carbon emission quotas, each of which is constructed via a combination of equity, grandfathering, efficiency and ability to pay principles. The results show that the proposed allocation scheme that integrates efficiency and the ability to pay principles is the best option, realizing approximately 6.78% outputs increase and 3.01% energy conservation relative to the actual 2015 emission scenario. We also show that the best scheme is linked to total quotas; the scheme considering only the equity principle is superior to others, while the total quotas are reduced by 10%. The study provides not only a theoretical tool, but also empirical evidence for the construction of China's carbon quota allocation scheme., (Copyright © 2021 Elsevier Ltd. All rights reserved.)

The Beijing-Tianji-Hebei region (BTHR) is economically developed and densely populated, but its water resources are extremely scarce. A clear understanding of the decoupling relationship between water footprint and economic growth is conducive to facilitating and realizing the coordinated development of water resources and economic growth in this region. This study calculated the water footprint and other related indicators of BTHR from 2004 to 2017, and objectively evaluated the utilization of water resources in the region. Then, logarithmic mean divisia index (LMDI) method was applied to study the driving factors that resulted in the change of water footprint and their respective effects. Finally, Tapio decoupling model was used to research the decoupling relationships between water footprint and economic growth, and between the driving factors of water footprint and economic growth. There are three main results in this research. (1) The water utilization efficiency in BTHR continues to improve, and the water footprint shows a gradually increasing trend during the research period, among which the agricultural water footprint accounts for a relatively high proportion. (2) The change of water footprint can be attributed to efficiency effect, economic effect, and population effect. Furthermore, efficiency effect is the decisive factor of water footprint reduction and economic effect is the main factor of water footprint increase, while population effect plays a weak role in promoting the increase in water footprint. (3) The decoupling status between water footprint and economic growth show a weak decoupling in most years, while the status between water footprint intensity and economic growth always remains strong decoupling. Moreover, population size and economic growth always show an expansive coupling state. In sum, it is advisable for policy makers to improve water utilization efficiency, especially agricultural irrigation efficiency, to raise residents' awareness of water conservation, and increase the import of water-intensive products, so as to alleviate water shortage and realize the coordinated development of water resources and economic growth in BTHR.

PM2.5 is a bad output of China's improved industrialization and rapid economic development, which seriously threatens people's health and greatly hinders the sustainable economic development. Studying the socio-economic driving factors of PM2.5 emissions is of great significance for reducing air pollution and realizing green development. Therefore, based on the simultaneous consideration of space technology differences and time technology progress, this paper constructs an index decomposition analysis-production-theoretical decomposition analysis decomposition model under the global meta-frontier-production theory. Then, we decompose the PM2.5 emission concentration of 30 provinces in China from 2005 to 2018 into nine driving factors and discuss the impact of different factors from the national, regional, and provincial levels. The results reveal that economic activity is still the main factor to promote the increase of PM2.5 emission, but its effect decreases, while the inhibitory effect of catch-up effect on PM2.5 concentration increases gradually. In addition, economic activities have the greatest impact on the East China, while the time catch-up effect has a more significant impact on the Central and Western China. Moreover, the influence of energy intensity effect, space technology catch-up effect, and time technology catch-up effect is gradually increasing, which have become important factors to inhibit the PM2.5 emission. Based on the above results, we put forward relevant policy suggestions. [ABSTRACT FROM AUTHOR]

• GIS grid technology can monitor the EEQ of industrial park. • Environmental planning and design of industrial park can better address pollution issues. • The EKC and CCD models provide insight into the synergy between EEQ and ED. Industrial Park is a part of urban development and plays an indispensable role in promoting regional economic development. However, the high consumption of resources and the concentrated emission of pollution pose a great threat to the ecological balance and human health. Therefore, the future of industrial park needs to be balanced with economic growth while realizing resource conservation and environmental improvement as much as possible. However, there is still a research gap in analyzing the relationship between ecological environment quality (EEQ) and economic development (ED) at the industrial park scale. This paper first constructs the new remote sensing ecological index (RSEInew) model to measure the EEQ of Suzhou Industrial Park (SIP) from 2000 to 2020. Then this study constructs an ED index system to evaluate its economic situation. Finally, this paper utilizes the Environmental Kuznets Curve (EKC) model and the coupled coordination degree (CCD) model to deeply analyze the relationship between EEQ and ED. The results show that: (1) The average annual growth rate of EEQ in SIP is −1.50 %, with a general downward trend. Over the past 20 years, the ecological environment of SIP has not deteriorated extensively. (2) The ED of SIP is steady and rising, with an average annual growth rate of 10.17 %. (3) From 2000 to 2020, the EKC between EEQ and the ED of the SIP takes on an inverted "N" shape, with its CCD rising from barely coordinated to highly coordinated. This study can provide a reference for studying the quality development of areas at the industrial park level. [ABSTRACT FROM AUTHOR]

In recent years, the evaluation of energy, economic and environmental efficiency, employing the data envelopment analysis models, has been a hot topic in academe. When choosing models, people always expect to improve desirable outputs, while reducing undesirable outputs at the same time ( e.g. when using a directional distance function model). However, directional distance function models may lead to biased estimations due to different directions given to different units. To overcome this shortcoming, in this paper, we propose another non-radial efficiency evaluation model based on previous literature, which can also improve desirable outputs and reduce undesirable outputs. Then we employ this model to analyse the economic efficiency and CO 2 emissions efficiency of the Asia Pacific Economic Cooperation (APEC) members. Meanwhile, we also measure the efficiency change by using the Luenberger index, and analyse the reasons for efficiency changes from the perspectives of technical efficiency, and technical, changes. The results indicate that most countries have an extremely high economic efficiency, but relatively low CO 2 emissions efficiency and integrated efficiency except for the United States, Japan, and Singapore. According to the Luenberger index, we find an increase in integrated efficiency and CO 2 emissions efficiency for most members from 2001 to 2010; however, technical progress is the main contributor. Technical efficiency exhibits a downward trend for most members. [ABSTRACT FROM AUTHOR]

[Display omitted] • A comprehensive method was used to explore the improvement path of water environmental carrying capacity (WECC) from both subsystem and index levels. • WECC in the YREB was generally low without upward trend and showed no spatial autocorrelation. • WECC of the downstream in the YREB was higher than that of upstream and midstream. • Coupling coordination among subsystems is a necessary condition for higher WECC. • Proportion of ecological environment water consumption has the largest restriction on WECC improvement in the YREB. Improving water environmental carrying capacity (WECC) is pivotal to support water sustainability and continued economic development. The improvement pathways of WECC based on both subsystem coupling and driving factors have not yet been identified. Therefore, taking the Yangtze River Economic Belt (YREB) as a case study, this paper firstly constructed a set of scientific comprehensive evaluation index system of WECC based on the coupling system of water resources-water environment-society-economy. Secondly, the improved catastrophe progression method was properly introduced to dynamically evaluate the level of provincial WECC from 2010 to 2018. Finally, the coupling coordination degree (CCD) and obstacle factor diagnosis model were creatively combined to identify the main influencing factors of WECC. The main findings were as follows: (1) The WECC of the YREB was generally low at the provincial and subsystem levels without any obvious upward trend. In comparison, the WECC was higher in Shanghai City, Zhejiang Province and the lower reaches of the YREB. (2) The CCD among the four subsystems was generally low in the YREB. Meanwhile, there was a significant positive correlation between the CCD and WECC in each provincial area, and thus the low CCD was a vital reason for the low WECC in the YREB. (3) Overall, the economic subsystem had the highest restriction on WECC improvement in the YREB, while that of the water resources subsystem had the least. Seen from the mean, the top five obstacle factors of WECC were proportion of ecological environment water consumption, urbanization rate, per capita GDP, proportion of tertiary industry and water consumption per unit of GDP respectively. Furthermore, the rankings of main obstacle factors showed a certain time fluctuation. In general, it could be found out that the CCD of subsystems and main obstacle factors should be focused on simultaneously when improving regional WECC. Additionally, this study has provided a new analytical framework for identifying the pathways of improving WECC, which is also applicable to find the improvement pathways for stability and safety of other complex systems. [ABSTRACT FROM AUTHOR]

• We conduct CO 2 emission mitigation in supply chains for 27 sectors of 30 provinces in China (2012). • We link the betweenness-based method and a multi-regional input-output (MRIO) model. • We identify the critical transmission sectors for CO 2 emissions with a new perspective. • We should focus on critical transmission sectors even though they are not important CO 2 carbon sectors. Fossil fuel-based economic growth leads to significant environmental pressures such as CO 2 emissions resulting from production and consumption activities. Existing studies mainly focus on identifying critical sectors in an economy that directly generate CO 2 emissions (production-based accounting) or indirectly drive CO 2 emissions through supply chains (consumption-based accounting). Though results from these studies are essential for guiding emission mitigation, a new perspective is also important for identifying key transmission sectors that facilitate CO 2 emissions in supply chains. In this study, we use a betweenness-based method and a multi-regional input-output (MRIO) model of China in 2012 to identify the critical transmission sectors for CO 2 emissions. We identify sectors of Chemical industry in Shandong and Jiangsu, Metallurgy in Jiangsu, Hebei, Shandong, Henan, and Liaoning, and Electricity and hot water production in Beijing as key transmission sectors. We also find that only the first three production layers (PLs) account for over 95% of the total embodied CO 2 emissions for each critical transmission sector. Improving production efficiency in these sectors has significant potential to reduce CO 2 emissions both downstream and upstream of their supply chains. Our method and results provide an alternative perspective for sector-specific policy recommendations on mitigating CO 2 emissions caused by the trade among provinces and sectors. Furthermore, this study plays significant strategy contributions on social-economic costs of carbon emission and carbon reductions. [ABSTRACT FROM AUTHOR]