CCAP国际知名学者讲座第127期

发布日期：2021/05/15　　来源： 北京大学中国农业政策研究中心

Regulating Conglomerates: Evidence from an Energy Conservation Program in China

【主讲人】Prof. Daniel Yi Xu, Duke University

【时  间】2021年5月20日（星期四）

             北京时间 上午9:30-11:00

【形  式】线上讲座，通过微信公众号注册参加讲座者将于19日收到包含会议链接的邮件

  由于本次讲座会议室容量有限，我们将同期进行线上直播，

 讲座直播链接: https://meeting.tencent.com/l/oKrZkmYATNU5

【讲座介绍】
 

对新兴经济体而言，如何平衡经济增长与工业化的负面影响(例如，碳排)是重要的核心问题之一。2006年，国家发展改革委会同有关部门启动了“千家企业节能行动”，目标是对年综合能源消费量较大的一千家企业加强节能管理，并在 “十一五”期间节能超过1亿吨标准煤；但是如何的评价该政策的实际效果及影响机制仍旧是学术界争论的重要问题。
此次讲座嘉宾徐熠教授将通过建立理论模型结合使用双重差分（DID）等计量方法，从理论和实证角度系统研究能源监管如何影响企业集团的生产和能源使用。基于企业层级的数据，他将系统分析“千家企业节能行动”对受监管的企业能源消耗和产出的影响及渠道；并针对企业所有权形式（例如，交叉持股对企业是否受到监管）研究其可能产生的溢出效果，并据此提出一系列改进现有能源法规的潜在途径。

How does energy regulation affect production and energy use within conglomerates? We study the effects of a prominent program aimed at reducing the energy use of large Chinese companies. Difference-in-differences analyses show that regulated firms significantly reduced their energy consumption and output but did not increase their energy efficiency. Using detailed business registration data, we link regulated firms to non-regulated firms that are part of the same conglomerate. We estimate large spillovers on cross-owned non-regulated firms, which increased both output and energy use. We then specify and estimate a model of conglomerate production that fits our setting and the estimated effects of the regulation. The model quantifies the importance of conglomerate reallocation for aggregate outcomes and for the shadow cost of the regulation. Using our model, we evaluate the welfare effects of existing, recently enacted, and alternative policies, and we quantify the welfare gains from using public information on business networks to improve the design of energy regulation.

【主讲人介绍】

Daniel Yi Xu is a Professor of Economics at Duke University and a faculty research associate of the National Bureau of Economic Research. Professor Xu’s research lies at the intersection of Productivity, International Trade, and Industrial Organization. His current research agenda is concentrated on using large-scale microdata to model and estimate a rich set of individual firm decisions, often dynamic, and to investigate how these decisions affect resource allocation, industry performance, and economic growth especially in developing and emerging economies. Professor Xu’s most recent work has been published in leading economic journals, including the American Economic Review, the Rand Journal of Economics, the Review of Economic Studies, the Review of Economic Dynamics, and the Management Science. He is currently the co-editor of the Review of Economics and Statistics and an associate editor of the Rand Journal of Economics and AEJ: Applied. He previously served as the co-editor of the Journal of Development Economics, and associate editor for the Economic Journal, the Journal of Industrial Economics, the Journal of International Economics, Quantitative Economics, and the Review of Economics and Statistics.