Promises and pitfalls in environmentally extended input-output analysis for China: a survey of the literature

As 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.


Issue Date:
Mar 22 2015
Publication Type:
Working or Discussion Paper
PURL Identifier:
http://purl.umn.edu/200175
Total Pages:
48
JEL Codes:
C67; D57; F18; O53; Q4; Q5
Series Statement:
Working Paper
1504




 Record created 2017-04-01, last modified 2017-04-26

Fulltext:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)