Herding Cats: Firm Non-Compliance in China's Industrial Energy Efficiency Program

We study firm responses to a large-scale energy efficiency program in China, focusing on the quality of reporting and compliance outcomes. Using statistical methods to detect data manipulation in compliance reports, we find evidence that firms deliberately exaggerated performance during the first ph...

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Bibliographic Details
Main Authors: Karplus, Valerie Jean (Author), Shen, Xingyao (Author), Zhang, Da (Author)
Other Authors: Sloan School of Management (Contributor), Massachusetts Institute of Technology. Institute for Data, Systems, and Society (Contributor)
Format: Article
Language:English
Published: International Association for Energy Economics (IAEE), 2021-02-11T21:08:46Z.
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Online Access:Get fulltext
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100 1 0 |a Karplus, Valerie Jean  |e author 
100 1 0 |a Sloan School of Management  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Institute for Data, Systems, and Society  |e contributor 
700 1 0 |a Shen, Xingyao  |e author 
700 1 0 |a Zhang, Da  |e author 
245 0 0 |a Herding Cats: Firm Non-Compliance in China's Industrial Energy Efficiency Program 
260 |b International Association for Energy Economics (IAEE),   |c 2021-02-11T21:08:46Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/129746 
520 |a We study firm responses to a large-scale energy efficiency program in China, focusing on the quality of reporting and compliance outcomes. Using statistical methods to detect data manipulation in compliance reports, we find evidence that firms deliberately exaggerated performance during the first phase of the program (2006-2010), suggesting the high compliance rate was overstated. In its second phase (2011-2015), the number of firms in the program expanded by an order of magnitude, and the compliance rate decreased. We develop a simple model to show how the observed increase in non-compliance is consistent with reduced misreporting. Statistical tests find no evidence of manipulation in the second phase. Larger firms, especially those not controlled by the state, and firms in cities with relatively low growth were more likely to report non-compliance, which suggests a role for state control and local protectionism in shaping compliance decisions. Based on our findings, we offer several lessons for future program design. 
520 |a U.S. Department of Energy (Award DE-EI0001908) 
546 |a en 
655 7 |a Article 
773 |t Energy Journal