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Journal ArticleDOI: 10.1016/J.SCITOTENV.2021.146089

The impact of cross-region industrial structure optimization on economy, carbon emissions and energy consumption: A case of the Yangtze River Delta

04 Mar 2021-Science of The Total Environment (Elsevier)-Vol. 778, pp 146089-146089
Abstract: Industry structure adjustment is an important way to solve environmental problems. The adjustment of the industrial structure across regions not only needs to meet the goals of each region, but also involves the industrial transfer between regions. The same industry in each region has differences in economic development, energy consumption and carbon emissions. So these regions can reasonably distribute industries in various regions through the industrial transfer to meet their own requirements. A cross-regional multi-objective planning model combined the data envelopment analysis method is put forward to solve the problem of the reasonable industries distribution. The representative result which is selected from the set of different preference solutions reflects the coordination of economic development and environment. In order to distinguish the effects, the results of cross-region and single-region industry structure optimization models are compared. The Yangtze River Delta as a case study is analyzed. The results show that each province can realize the reasonable distribution of industries through the industrial transfer, and complete the phased goals in the 13th Five-Year Plan. Meanwhile, the eco-efficiency of each province is improved and the difference in economy has narrowed. The case provides a basis for other regions to balance development of economy and environmental protection through regional cooperation and division of labor.

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Open accessJournal ArticleDOI: 10.3389/FENRG.2021.685021
Xiucheng Dong1, Qingzhe Jiang1, Jianda Wang1Institutions (1)
Abstract: With the intensification of globalization, the information and communication technologies (ICT) sector, as one of the emerging industrial sectors, has played an important role in reducing carbon emissions in regional trade and improving the energy efficiency of traded products. This article uses a multi-regional input-output (MRIO) model to explore the flow of embodied carbon emissions and embodied carbon emission intensities in the ICT sector triggered by trade in 15 major economies around the world from 2000 to 2014. The article further discusses the emission-reduction strategies of each ICT sector. The results show that: (1) The overall embodied carbon emissions of ICT have demonstrated a significant downward trend, but the proportion of embodied carbon emissions caused by trade is increasing; (2) The embodied carbon emissions in the ICT sector of most developed countries in 2014 are significantly lower than in 2000, but in developing countries such as China and India they show an upward trend during this period; (3) The ICT sector’s export embodied carbon emission intensity in Indonesia is much higher than that of other countries, and the embodied carbon emissions of ICT exported by Mexico have increased significantly; (4) The manufacture of computer, electronic and optical products (S1) is the main contributor to the ICT sector's embodied carbon emissions, while import embodied carbon emission intensities among publishing activities (S2) are increasing significantly in most countries. The conclusion of this paper has important implications for how to reduce ICT’s embodied carbon emissions of major countries.

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Topics: Greenhouse gas (52%), Emission intensity (50%)

1 Citations


Open accessJournal ArticleDOI: 10.3390/LAND10101025
01 Sep 2021-Land
Abstract: The middle reaches of the Yangtze River region (MRYRR) are China’s first trans-regional urban agglomeration, located in the center of the Yangtze River Economic Belt. The MRYRR is an important ecological reserve, and its land cover changes are affected by both socio-economic development and geographical environment. In this paper, Landsat ETM/TM/OLI remote sensing images were used to monitor land use and landscape patterns from 1990 to 2015. Through supervised classification, land use transfer matrix, landscape pattern metrics and correlation analysis, the spatial-temporal patterns of land use change and its relationship with socio-economic in the study area were revealed. The results showed that: (1) the main land use types in the study area were cropland (CL) and forestland (FL), accounting for more than three-quarters of the study area. During the study period, built-up land (BL) increased, CL decreased, FL increased first and then decreased; (2) the BL expanded mainly by occupying CL and FL, and regional landscape pattern was gradually fragmented, with complex patch shape and increasing diversity and heterogeneity. Among them, the BL is gradually gathered, and the FL and CL are gradually fragmented; (3) in the past 25 years, the urbanization process in this region has been obvious, and the Gross Domestic Product (GDP) has increased by 36 times. The socioeconomic variables were positively correlated with BL, orchard (OL) and Shannon diversity index (SHID), and negatively correlated with CL, Wasteland (WL), mean patch size (MPS) and contagion size (CONTAG). The results showed that the urbanization development has a great impact on the region, and the ecological protection task is still challenging. It is necessary to protect high-quality cropland and draw a red line for ecological protection. We should strengthen the construction of ecological corridors and ecological nodes to adapt to regional sustainable development.

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1 Citations


Journal ArticleDOI: 10.1016/J.SCS.2021.103464
Hao Lu1, Xin Lu1, Liudan Jiao1, Yu Zhang1Institutions (1)
Abstract: With the rapid acceleration of global urbanization, progressively more natural disasters and public safety problems are encountered in cities. Previous studies have shown that highly resilient cities can promptly and effectively respond to disasters. Therefore, in this study, a mixed-methods approach to urban agglomeration resilience estimation is proposed. First, the particle swarm optimization algorithm is used to optimize the back propagation neural network in order to evaluate the resilience of subsystems, including economy, society, environment, and science and technology resilience subsystems. Then, the entropy weight method is integrated to obtain the urban agglomeration resilience. Finally, the kernel density estimation and Moran's I are utilized for comprehensive analysis of the dynamic evolution and spatial correlation of the urban agglomeration resilience. The Yangtze River Delta cities are adopted as a case study, and the results indicated that the resilience in the most developed urban agglomeration in China showed the pyramidal spatial distribution. From the perspective of evolution, the resilience level is constantly improving, and the differences among cities are gradually decreasing from 2015 to 2019. The results indicate that the model is valuable for evaluating urban resilience, and thus it can help policymakers formulate proposals to effectively improve the resilience of urban agglomerations.

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Topics: Resilience (network) (66%), Urban resilience (63%), Urban agglomeration (61%) ... show more


Open accessJournal ArticleDOI: 10.3390/IJERPH182010719
Bing Xia1, Suocheng Dong1, Yu Li1, Zehong Li1  +3 moreInstitutions (1)
Abstract: The sandstorm in 2021 in East Asia demonstrated the ecological issues that culminated for decades in Mongolia. Mongolia is facing challenges to realize green and sustainable development. This article aims to increase the understanding of eco-efficiency and its influencing factors in Mongolia and to provide a reference for similar developing countries and regions to achieve green and sustainable development. This article used the Slacks-Based Measure of Efficiency (SBM) model with advantages of dimension freedom and unit variable to estimate the economic efficiency and eco-efficiency of 22 provinces in Mongolia from 2007 to 2016; energy consumption and undesirable environmental outputs were taken as ecological/environmental indicators in the input and output system of regional eco-efficiency in Mongolia, combining traditional indicators of economic efficiency to build Mongolia’s eco-efficiency input–output framework. This article applied hot spot analysis and gravity center analysis to reveal the temporal and spatial evolution characters of eco-efficiency in Mongolia. Finally, the article applied panel Tobit regression to analyze the influencing factors of eco-efficiency. We were found that Mongolia’s eco-efficiency slightly improved from 0.7379 in 2007 to 0.7673 in 2016, lower than the economic efficiency. The high eco-efficiency provinces appeared in the capital Ulaanbaatar and its surrounding areas, showing an obvious spatial spillover effect. The low eco-efficiency provinces were mainly in the undeveloped western region. The relationship between per capita GDP and eco-efficiency was U-shaped and consistent with environmental Kuznets theory. Accelerating economic growth, optimizing population distribution, and improving energy structure and green technology can improve Mongolia’s eco-efficiency.

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Topics: Population (52%), East Asia (52%), Eco-efficiency (50%)

References
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87 results found


Journal ArticleDOI: 10.1016/0022-2496(77)90033-5
Thomas L. Saaty1Institutions (1)
Abstract: The purpose of this paper is to investigate a method of scaling ratios using the principal eigenvector of a positive pairwise comparison matrix. Consistency of the matrix data is defined and measured by an expression involving the average of the nonprincipal eigenvalues. We show that λmax = n is a necessary and sufficient condition for consistency. We also show that twice this measure is the variance in judgmental errors. A scale of numbers from 1 to 9 is introduced together with a discussion of how it compares with other scales. To illustrate the theory, it is then applied to some examples for which the answer is known, offering the opportunity for validating the approach. The discussion is then extended to multiple criterion decision making by formally introducing the notion of a hierarchy, investigating some properties of hierarchies, and applying the eigenvalue approach to scaling complex problems structured hierarchically to obtain a unidimensional composite vector for scaling the elements falling in any single level of the hierarchy. A brief discussion is also included regarding how the hierarchy serves as a useful tool for decomposing a large-scale problem, in order to make measurement possible despite the now-classical observation that the mind is limited to 7 ± 2 factors for simultaneous comparison.

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Topics: Scaling (53%), Rank reversals in decision-making (52%), Hierarchy (51%) ... show more

6,995 Citations


Journal ArticleDOI: 10.2307/2118443
Gene M. Grossman1, Alan B. Krueger1Institutions (1)
Abstract: We examine the reduced-form relationship between per capita income and various environmental indicators. Our study covers four types of indicators: urban air pollution, the state of the oxygen regime in river basins, fecal contamination of ri'ver basins, and contamination of river basins by heavy metals. We find no evidence that environmental quality deteriorates steadily with economic growth. Rather, for most indicators, economic growth brings an initial phase of deterioration followed by a subsequent phase of improvement. The turning points for the different pollutants vary, but in most cases they come before a country reaches a per capita income of $8000. I. INTRODUCTION Will continued economic growth bring ever greater harm to the earth's environment? Or do increases in income and wealth sow the seeds for the amelioration of ecological problems? The answers to these questions are critical for the design of appropriate development strategies for lesser developed countries. Exhaustible and renewable natural resources serve as inputs into the production of many goods and services. If the composition of output and the methods of production were immutable, then damage to the environment would be inextricably linked to the scale of global economic activity. But substantial evidence suggests that development gives rise to a structural transformation in what an economy produces (see Syrquin [1989]). And societies have shown remarkable ingenuity in harnessing new technologies to conserve scarce resources. In principle, the forces leading to change in the composition and techniques of production may be sufficiently strong to more than offset the adverse effects of increased economic activity on the environment. In this paper we address this empirical issue using panel data on ambient pollution levels in many countries. Examination of the empirical relationship between national income and measures of environmental quality began with our *We thank the Ford Foundation, the Sloan Foundation, the John S. Guggenheim Memorial Foundation, the Institute for Policy Reform, and the Centers of International Studies and of Economic Policy Studies at Princeton University for financial support. We are grateful to Peter Jaffee, who tutored us on the various dimensions of water quality, to Robert Bisson, who provided us with the GEMS/ Water data, and to seminar participants at the O.E.C.D. Development Centre and the Institute for International Economic Studies in Stockholm, Sweden, who gave us helpful comments and suggestions. Special thanks go to James Laity, whose research assistance was simply extraordinary.

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4,493 Citations


Open accessPosted Content
Gene M. Grossman1, Alan B. Krueger1Institutions (1)
Abstract: Using data assembled by the Global Environmental Monitoring System we examine the reduced-form relationship between various environmental indicators and the level of a country's per capita income. Our study covers four types of indicators: concentrations of urban air pollution; measures of the state of the oxygen regime in river basins; concentrations of fecal contaminants in river basins; and concentrations of heavy metals in river basins. We find no evidence that environmental quality deteriorates steadily with economic growth. Rather, for most indicators, economic growth brings an initial phase of deterioration followed by a subsequent phase of improvement. The turning points for the different pollutants vary, but in most cases they come before a country reaches a per capita income of $8,000.

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3,378 Citations


Journal ArticleDOI: 10.1287/MNSC.39.10.1261
01 Oct 1993-Management Science
Abstract: Data Envelopment Analysis DEA evaluates the relative efficiency of decision-making units DMUs but does not allow for a ranking of the efficient units themselves. A modified version of DEA based upon comparison of efficient DMUs relative to a reference technology spanned by all other units is developed. The procedure provides a framework for ranking efficient units and facilitates comparison with rankings based on parametric methods.

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Topics: Data envelopment analysis (62%), Ranking (57%)

2,961 Citations


Journal ArticleDOI: 10.1016/S0301-4215(03)00076-4
B.W. Ang1Institutions (1)
01 Jun 2004-Energy Policy
Abstract: Although a large number of energy decomposition analysis studies have been reported in the last 25 years, there is still a lack of consensus among researchers and analysts as to which is the “best” decomposition method. As the usefulness of decomposition analysis has now been firmly established in energy studies and its scope for policymaking has expanded greatly, there is a need to have a common understanding among practitioners and consistency on the choice of decomposition methods in empirical studies. After an overview of the application and methodology development of decomposition analysis, the paper attempts to address the above-mentioned issues and provide recommendations.

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1,331 Citations


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20221
20215