Summary:
China is vigorously promoting the development of ecological civilization, leading to sweeping, historic, and comprehensive advances in ecological and environmental protection. The effective application of environmental regulation policy tools, such as environmental punishment, supports the modernization of the ecological system and governance capabilities. Against this backdrop, the spillover effects of environmental penalties on corporate productivity have substantial and significant academic and normative implications. Examining these spillover effects of environmental penalties enables us to enhance the research framework regarding the impact of these penalties on businesses and add new empirical evidence to the literature on environmental regulation. However, only a small proportion of enterprises are actually penalized; therefore, focusing solely on their responses may lead to underestimation of the effectiveness of the underlying environmental policies. Therefore, a better understanding of these spillover effects can shed light on the comprehensive outcomes of China's environmental penalties, thereby improving the regulatory efficiency of environmental policies in practice. To examine the spillover effects of environmental penalties on non-penalized peer firms within the same city and same industry as penalized firms, we obtain firm-level environmental penalty data from QuantData and focus on the complete sample of A-share mainboard-listed companies in China. We further estimate the total factor productivity (TFP) of peer firms using the Olley-Pakes (OP) method and measure the intensity of environmental penalties by the number of penalized companies. Our baseline results show that environmental penalties reduce the productivity of non-penalized peer firms, and this effect is both statistically significant and economically sizable. We further explore the economic mechanisms of our main findings by delving into the pivotal role played by green innovation. Increased environmental punishment pressure provides non-penalized peer firms with incentives to engage in green innovation to improve their environmental performance. However, green innovation may not be profitable in the short term. Rather, it may crowd out other profitable and productive firm activities, leading to a decline in firm-level profitability and productivity. To examine the above mechanism, we use the number of green patent applications as a proxy for incentives to engage in green innovation. In line with this hypothesized mechanism, we find that environmental punishment significantly increases the green innovation incentives of non-penalized peer firms, and that its negative spillover impact on productivity is mainly concentrated in firms pursuing green innovation. Additional analysis reveals two important aspects of this mechanism. First, firms face considerable uncertainty when translating green patents into tangible benefits. Second, an in-depth examination of firms' input-output data confirms that green innovation may crowd out other productive and profitable activities. Taken together, these findings suggest that the crowding-out effect of green innovation elucidates how environmental punishment has a negative spillover impact on productivity. The marginal contributions of this paper are threefold. First, we introduce a new dataset of environmental penalties collected from the official websites of various government departments using QuantData. The authoritative sources, extensive timespan, and comprehensive coverage enable us to effectively avoid sample selection bias. Second, the focus on non-penalized firms provides a novel perspective and a more comprehensive framework, thus broadening our understanding of the policy impact of environmental penalties. Third, our results suggest that environmental policies may affect the productivity of non-penalized peer firms via the channel of green innovation. Collectively, our main findings and the proposed economic mechanism provide new insights into how environmental regulations influence firm policies and performance.
[1] 包群、邵敏和杨大利,2013,《环境管制抑制了污染排放吗?》,《经济研究》第12期,第42~54页。 [2] 陈诗一,2010,《中国的绿色工业革命:基于环境全要素生产率视角的解释(1980—2008)》,《经济研究》第11期,第21~34+58页。 [3] 陈诗一、张建鹏和刘朝良,2021,《环境规制、融资约束与企业污染减排——来自排污费标准调整的证据》,《金融研究》第9期,第51~71页。 [4] 方芳、杨岚和周亚虹,2020,《环境规制,企业演化与城市制造业生产率》,《管理科学学报》第4期,第22~37页。 [5] 方颖和郭俊杰,2018,《中国环境信息披露政策是否有效:基于资本市场反应的研究》,《经济研究》第10期,第158~174页。 [6] 傅京燕和李丽莎,2010,《环境规制、要素禀赋与产业国际竞争力的实证研究——基于中国制造业的面板数据》,《管理世界》第10期,第87~98+187页。 [7] 郝良峰、李小平和李松林,2021,《环境规制、产业动态集聚与地区生产率增长》,《中国软科学》第10期,第32~42页。 [8] 胡珺、黄楠和沈洪涛,2020,《市场激励型环境规制可以推动企业技术创新吗?——基于中国碳排放权交易机制的自然实验》,《金融研究》第1期,第171~189页。 [9] 匡远凤和彭代彦,2012,《中国环境生产效率与环境全要素生产率分析》,《经济研究》第7期,第62~74页。 [10] 李俊青、高瑜和李响,2022,《环境规制与中国生产率的动态变化:基于异质性企业视角》,《世界经济》第1期,第82~109页。 [11] 李凯杰、董丹丹和韩亚峰,2020,《绿色创新的环境绩效研究——基于空间溢出和回弹效应的检验》,《中国软科学》第7期,第112~121页。 [12] 李青原和肖泽华,2020,《异质性环境规制工具与企业绿色创新激励——来自上市企业绿色专利的证据》,《经济研究》第9期,第192~208页。 [13] 李树和陈刚,2013,《环境管制与生产率增长——以APPCL2000的修订为例》,《经济研究》第1期,第17~31页。 [14] 李小胜和安庆贤,2012,《环境管制成本与环境全要素生产率研究》,《世界经济》第12期,第23~40页。 [15] 刘金科和肖翊阳,2022,《中国环境保护税与绿色创新:杠杆效应还是挤出效应?》,《经济研究》第1期,第72~88页。 [16] 鲁晓东和连玉君,2012,《中国工业企业全要素生产率估计:1999—2007》,《经济学(季刊)》第2期,第541~558页。 [17] 毛其淋和许家云,2016,《跨国公司进入与中国本土企业成本加成——基于水平溢出与产业关联的实证研究》,《管理世界》第9期,第12~32+187页。 [18] 齐绍洲、林屾和崔静波,2018,《环境权益交易市场能否诱发绿色创新?——基于我国上市公司绿色专利数据的证据》,《经济研究》第12期,第129~143页。 [19] 邵敏和包群,2013,《FDI对我国国内劳工权益的影响——改善抑或是恶化?》,《管理世界》第9期,第32~43页。 [20] 沈红波、谢越和陈峥嵘,2012,《企业的环境保护、社会责任及其市场效应——基于紫金矿业环境污染事件的案例研究》,《中国工业经济》第1期,第141~151页。 [21] 盛丹和张国峰,2019,《两控区环境管制与企业全要素生产率增长》,《管理世界》第2期,第24~42+198页。 [22] 谭冰霖,2018,《环境行政处罚规制功能之补强》,《法学研究》第4期,第151~170页。 [23] 陶锋、胡军、李诗田和韦锦祥,2017,《金融地理结构如何影响企业生产率?——兼论金融供给侧结构性改革》,《经济研究》第9期,第55~71页。 [24] 陶锋、赵锦瑜和周浩,2021,《环境规制实现了绿色技术创新的“增量提质”吗——来自环保目标责任制的证据》,《中国工业经济》第2期,第136~154页。 [25] 王兵、吴延瑞和颜鹏飞,2010,《中国区域环境效率与环境全要素生产率增长》,《经济研究》第5期,第95~109页。 [26] 王勇、李雅楠和俞海,2019,《环境规制影响加总生产率的机制和效应分析》,《世界经济》第2期,第97~121页。 [27] 王云、李延喜、马壮和宋金波,2020,《环境行政处罚能以儆效尤吗?——同伴影响视角下环境规制的威慑效应研究》,《管理科学学报》第1期,第77~95页。 [28] 杨汝岱,2015,《中国制造业企业全要素生产率研究》,《经济研究》第2期,第61~74页。 [29] 于亚卓、张惠琳和张平淡,2021,《非对称性环境规制的标尺现象及其机制研究》,《管理世界》第9期,第134~147页。 [30] 张成、陆旸、郭路和于同申,2011,《环境规制强度和生产技术进步》,《经济研究》第2期,第113~124页。 [31] 诸竹君、黄先海和王煌,2019,《交通基础设施改善促进了企业创新吗?——基于高铁开通的准自然实验》,《金融研究》第11期,第153~169页。 [32] Albrizio, S., T. Kozluk and V. Zipperer, 2017, “Environmental Policies and Productivity Growth: Evidence Across Industries and Firms”, Journal of Environmental Economics and Management, 81, pp.209~226. [33] Berman, E. and L. T. M. Bui, 2001, “Environmental Regulation and Productivity: Evidence from Oil Refineries”, Review of Economics and Statistics, 83(3), pp.498~510. [34] Gollop, F. M. and M. J. Roberts, 1983, “Environmental Regulations and Productivity Growth: The Case of Fossil-Fueled Electric Power Generation”, Journal of Political Economy, 91(4), pp.654~674. [35] Gray, W. B., 1987, “The Cost of Regulation: OSHA, EPA and the Productivity Slowdown”, American Economic Review, 77(5), pp.998~1006. [36] He, G., S. Wang and B. Zhang, 2020, “Watering Down Environmental Regulation in China”, Quarterly Journal of Economics, 135(4), pp.2135~2185. [37] Jaffe, A. B.and K. Palmer, 1997, “Environmental Regulation and Innovation: A Panel Data Study”, Review of Economics and Statistics, 79(4), pp.610~619. [38] Jaffe, A. B., S. R. Peterson, P. R. Portney and R. N. Stavins, 1995, “Environmental Regulation and the Competitiveness of U.S. Manufacturing: What Does the Evidence Tell Us?”, Journal of Economic Literature, 33(1), pp.132~163. [39] Kruger, P., 2015, “Corporate Goodness and Shareholder Wealth”, Journal of Financial Economics, 115(2), pp.304~329. [40] Levinsohn, J.and A. Petrin, 2003, “Estimating Production Functions Using Inputs to Control for Unobservables”, Review of Economic Studies, 70(2), pp.317~341. [41] Olley, G. S.and A. Pakes, 1996, “The Dynamics of Productivity in the Telecommunications Equipment”, Econometrica, 64(6), pp.1263~1297. [42] Porter, M. E.and C. A. D. Linde, 1995, “Toward a New Conception of the Environment-Competitiveness Relationship”, Journal of Economic Perspectives, 9(4), pp.97~118.