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000200175 245__ $$aPromises and pitfalls in environmentally extended input-output analysis for China: a survey of the literature
000200175 260__ $$c2015-03-22
000200175 269__ $$a2015-03-22
000200175 270__ $$mjacob.hawkins@research.uwa.edu.au$$pHawkins,   Jacob
000200175 270__ $$mchunbo.ma@uwa.edu.au$$pMa,   Chunbo
000200175 270__ $$msteven.schilizzi@uwa.edu.au$$pSchilizzi,   Steven
000200175 270__ $$mfan.zhang@uwa.edu.au$$pZhang,   Fan
000200175 300__ $$a48
000200175 336__ $$aWorking or Discussion Paper
000200175 490__ $$aWorking Paper
000200175 490__ $$a1504
000200175 520__ $$aAs the largest developing economy, China plays a key role in global climate change. Environmentally extended input-output analysis (EE-IOA) is an important and insightful tool seeing widespread use in studying large-scale environmental impacts in China: calculating and analyzing greenhouse gas emissions, carbon and water footprints, pollution, and embedded energy. Chinese EE-IOA are hindered, however, by unreliable data and limited resolution. This paper reviews the body of literature regarding EE-IOA for China in peer-reviewed journals and provides an overview of the articles, examining their methodologies, environmental issues addressed, and data utilized. This paper further identifies the shortcomings in using input-output analyses to gauge environmental impacts in China. Potentially fruitful areas of expansion in Chinese EE-IOA research are denoted, including under-researched environmental issues, underutilized methodologies, and techniques to disaggregate data to move beyond the limitations inherent in official Chinese input-output data.
000200175 542__ $$fLicense granted by Marit Kragt (marit.kragt@uwa.edu.au) on 2015-03-22 (GMT):

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000200175 650__ $$aEnvironmental Economics and Policy
000200175 650__ $$aResource /Energy Economics and Policy
000200175 6531_ $$aChina
000200175 6531_ $$ainput-output
000200175 6531_ $$adisaggregation
000200175 700__ $$aHawkins, Jacob
000200175 700__ $$aMa, Chunbo
000200175 700__ $$aSchilizzi, Steven
000200175 700__ $$aZhang, Fan
000200175 8564_ $$s493027$$uhttps://ageconsearch.umn.edu/record/200175/files/WP1504_Hawkins%20et%20al.%20IO%20Promises_and_Pitfalls.pdf
000200175 887__ $$ahttp://purl.umn.edu/200175
000200175 909CO $$ooai:ageconsearch.umn.edu:200175$$pGLOBAL_SET
000200175 912__ $$nSubmitted by Marit Kragt (marit.kragt@uwa.edu.au) on 2015-03-22
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  Previous issue date: 2015-03-22
000200175 982__ $$gUniversity of Western Australia, School of Agricultural and Resource Economics>Working Papers
000200175 980__ $$a1784