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Featured researches published by Xiaoping Jia.


Frontiers of Environmental Science & Engineering in China | 2013

Clustering economic sectors in China on a life cycle basis to achieve environmental sustainability

Sai Liang; Tianzhu Zhang; Xiaoping Jia

To improve material efficiency, industrial structure optimization becomes a focal point in Chinese industrial and environmental policies. It is crucial to cluster economic sectors and determine their priority for industrial and environmental policy implementation. Integrating a set of criteria, a hybrid input-output model and the hierarchical cluster analysis, this study clusters China’s economic sectors and determines their priority on a life cycle basis. China’s economic sectors are clustered into three clusters. Industrial structure changes (industrial policy) should encourage the development of sectors in cluster 1 and limit the development of sectors in cluster 2. Technology development and materials recycling (two environmental policies) should mainly focus on sectors in clusters 1 and 2. Future industrial policies in China should limit the development of two sectors named Manufacture of metal products and Extraction of petroleum and natural gas. Instead of limiting some industries by command-and-control, the best policy option is to remedy environmental standards and law enforcement. Enterprises belonging to the identified key sectors from the viewpoint of direct production impacts should be concerned to achieve enterprise sustainability. To achieve sustainable production chains, the identified key sectors from the viewpoint of accumulative production impacts should be concerned. For sustainable consumption, the identified key sectors from the viewpoint of consumption impacts should be concerned to transform consumption styles. Most of environmental pressure can be alleviated not only by technical improvements and material recycling, but also by the development of economic sectors in cluster 1.


Journal of Industrial Ecology | 2017

Developing the Chinese Environmentally Extended Input-Output (CEEIO) Database

Sai Liang; Tiantian Feng; Shen Qu; Anthony S.F. Chiu; Xiaoping Jia; Ming Xu

Summary Environmentally extended input-output (EEIO) databases are increasingly used to examine environmental footprints of economic activities. Studies focusing on China have independently, repeatedly developed EEIO databases for China. These databases are usually not publicly available, leading to repeated efforts, inconsistent with one another using different approaches, of limited environmental accounts, and lacking transparency, preventing continuous updating. We developed a transparent, comprehensive, and consistent Chinese EEIO database covering a wide period of time (currently 1992, 1997, 2002, and 2007 for which benchmark input-output tables [IOTs] are available), sector classifications (original sector classifications in benchmark IOTs, a 45-sector classification commonly used in Chinas environmental and energy statistics, and a 91-sector classification with maximized sector resolution ensuring temporal consistence), and environmental satellite accounts for 256 types of resources and 30 types of pollutants in this study. Moreover, the environmental satellite accounts cover households in addition to sectors, allowing developing closed models. We make this database publicly available with open access for broader dissemination (www.ceeio.com). We demonstrate the database by evaluating environmental pressures of Chinese products in 2007. Comparisons of our database with previous studies validate its rationality and reliability.


Clean Technologies and Environmental Policy | 2015

Integrating input–output models with pinch technology for enterprise sustainability analysis

Xiaoping Jia; Zhiwei Li; Fang Wang; Dominic Chwan Yee Foo; Raymond R. Tan

This article proposes an integrated framework for enterprise sustainability assessment by integrating enterprise input–output modeling with water pinch analysis. Firstly, material metabolism of an enterprise is investigated to establish a baseline; then, potential for resource conservation and waste minimization is evaluated. The environmental performance and economic feasibility of modifications are then assessed based on identification of key processes. Thus, the framework provides a method to connect material metabolism analysis of enterprises with the implementation of specific actions for resource conservation and waste minimization. The case of the water utilization system at Wangpo coal mine in China is used to illustrate the framework developed. Two process integration scenarios, involving direct reuse/recycle and regeneration, are presented. The corresponding revised input–output models for each scenario are illustrated.


Clean Technologies and Environmental Policy | 2016

Integrated sustainability assessment for chemical processes

Xiaoping Jia; Zhiwei Li; Fang Wang; Yu Qian

Policies on sustainable development have resulted in the wide concern about economic, safety, and environmental-friendly chemical production. This work focuses on the development of a holistic methodology that enables the evaluation and comparison of process sustainability in an integrated system. This methodology is proposed based on material and energy flows, process parameters, and process configuration. It uses a set of criteria, including inherent safety, potential environmental impact, and economic aspects. These criteria as the basis for determining the integrated index can be used to perform sustainability assessment for process alternatives under investigation. The multi-criteria decision analysis procedure is presented to conduct the integrated assessment based on qualitative and quantitative analysis. As a case study, ethanol production process, i.e., ethylene-derived feedstock process (A1) and straw cellulose-derived feedstock process (A2) are used to illustrate the proposed methodology. Results showed that A1 had advantage over A2 for the economic aspect while A2 had better performance in the environmental and safety aspects. A2 is the prior option from the point of view of comprehensive evaluation.


Environmental Science & Technology | 2018

Virtual Water Scarcity Risk to the Global Trade System

Shen Qu; Sai Liang; Megan Konar; Zeqi Zhu; Anthony S.F. Chiu; Xiaoping Jia; Ming Xu

Local water scarcity risk (LWSR, meaning potential economic output losses in water-using sectors due to physical water scarcity) can be transmitted to downstream economies through the globalized supply chains. To understand the vulnerability of the global economy to water scarcity, we examine the impacts of local water scarcity risk on the global trade system from 1995 to 2009. We observe increasingly intensified geographical separation between physical water scarcity and production losses due to water scarcity. We identify top nation-sectors in virtual water scarcity risk (VWSR) exports (indicating local water scarcity risk in each nation transmitted to foreign nations through its exports), including agriculture and utilities in major economies such as China, India, Spain, France, and Turkey. These nation-sectors are critical to the resilience of the global economy to water scarcity. We also identify top nation-sectors in virtual water scarcity risk imports (indicating each nations vulnerability to foreign water scarcity risk through the global trade system), highlighting their vulnerability to distant water scarcity. Our findings reveal the need for nations to collaboratively manage and conserve water resources, and lay the foundation for firms in high VWSR-importing sectors to develop strategies to mitigate such risk.


PLOS ONE | 2016

Global Electricity Trade Network: Structures and Implications.

Ling Ji; Xiaoping Jia; Anthony S.F. Chiu; Ming Xu

Nations increasingly trade electricity, and understanding the structure of the global power grid can help identify nations that are critical for its reliability. This study examines the global grid as a network with nations as nodes and international electricity trade as links. We analyze the structure of the global electricity trade network and find that the network consists of four sub-networks, and provide a detailed analysis of the largest network, Eurasia. Russia, China, Ukraine, and Azerbaijan have high betweenness measures in the Eurasian sub-network, indicating the degrees of centrality of the positions they hold. The analysis reveals that the Eurasian sub-network consists of seven communities based on the network structure. We find that the communities do not fully align with geographical proximity, and that the present international electricity trade in the Eurasian sub-network causes an approximately 11 million additional tons of CO2 emissions.


Transportation Research Part D-transport and Environment | 2014

Siting public electric vehicle charging stations in Beijing using big-data informed travel patterns of the taxi fleet

Hua Cai; Xiaoping Jia; Anthony S.F. Chiu; Xiaojun Hu; Ming Xu


Energy | 2012

Sustainable urban materials management for air pollutants mitigation based on urban physical input–output model

Sai Liang; Tianzhu Zhang; Yafei Wang; Xiaoping Jia


Journal of Cleaner Production | 2016

Multi-dimensional pinch analysis for sustainable power generation sector planning in China

Xiaoping Jia; Zhiwei Li; Fang Wang; Dominic Chwan Yee Foo; Raymond R. Tan


Resources Conservation and Recycling | 2015

Improving resource utilization efficiency in China's mineral resource-based cities: A case study of Chengde, Hebei province

Chenjian Yu; Huiquan Li; Xiaoping Jia; Qiang Li

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Zhiwei Li

Qingdao University of Science and Technology

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Ming Xu

University of Michigan

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Sai Liang

Beijing Normal University

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Fang Wang

Qingdao University of Science and Technology

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Dominic Chwan Yee Foo

University of Nottingham Malaysia Campus

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Shen Qu

University of Michigan

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Yu Qian

South China University of Technology

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