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The Impact of Environmental Governance Policy on Green Innovation: Evidence from China's Quasi-Natural Experiment
为应对环境状况和环境保护的需要,原中国环境保护部发布的《环境空气质量标准(2012)》对整个环境治理生命周期管理提出了要求,以加速大气污染治理、满足公众需求并提高政府公信力。自新标准在要求的时间表内由各地区实施以来,地方空气质量监测实现了实时、无干扰、全覆盖并直接上报。该标准极大地提高了地方政府在环境治理中不作为的机会成本,促进了公众对环境监督的参与,并提高了企业污染排放受到处罚的概率。这些压力为企业作为中国创新的主要来源开展全生命周期绿色技术创新提供了强大动力。环境信息披露为促进绿色技术创新和减污降碳、实现双碳目标创造了重要力量。本文分为三个部分。首先,我们回顾了关于环境规制对企业创新影响的文献,并结合促进绿色技术创新发展的政策需求。在此背景下,我们提出了关于环境保护政策与企业绿色技术创新之间关系的研究假设。自新标准实施以来,我们发现高环境风险企业的绿色技术创新在更严格的区域环保执法和更积极的媒体监督下变得越来越积极。其次,以2007年至2017年中国所有A股上市公司为研究对象,以2012年《环境空气质量标准》在各城市的交错实施为准自然实验,我们采用多期双重差分(DID)方法分析高、低环境风险企业在标准实施前后绿色技术创新的差异。标准实施后,我们发现高环境风险企业的绿色技术创新在绿色创新的数量和质量衡量上都变得更加积极。这一结论的有效性通过一系列稳健性检验得到确认。异质性检验发现,新标准对绿色技术创新的促进效果在国有企业和非专利密集型企业中比在民营企业和专利密集型企业中更显著。进一步研究表明,新标准对绿色技术创新的影响在环境执法改善以及公众和媒体监督强度提高的情况下显著增强。最后,新标准的积极效应带来了当地空气质量的显著改善。我们的发现得出了一些政策建议。首先,当局应通过分类和提高环境规制水平来加强和完善环境规制体系。其次,当局应促进利用数字技术辅助环境监管支持绿色创新的积极优势。第三,当局应建立系统的方法来评估环境规制对企业绿色创新的效果。最后,可以建立一套评估体系,帮助企业和管理者认识绿色创新的内容和复杂性,并审慎管理创新过程中可能遇到的问题和不确定性。这样的评估体系可以使监管政策的实施更具前瞻性,以鼓励绿色创新。我们在几个方面对文献做出了贡献。首先,从制度经济学的角度,我们丰富了宏观环境政策与微观行为领域的相关理论研究。环境规制文献主要研究命令型和市场型规制政策对企业污染转移、节能减排以及一般环境保护投资的影响。我们从企业绿色技术创新的角度评估宏观环境政策的有效性,从而为现有环境规制研究提供新证据。其次,我们创造性地将《环境空气质量标准》和绿色技术创新置于同一理论框架中,从而扩展和丰富了关于企业绿色技术创新影响因素的相关文献。最后,我们分析了环境执法、公众监督和媒体监督的监管和环境效应。研究结果为进一步激励企业支持环境治理和建立健全绿色低碳循环经济发展体系提供了有益参考。
Abstract
In response to environmental conditions and the need for environmental protection, the former Chinese Ministry of Environmental Protection's Ambient Air Quality Standard (2012) establishes requirements for management of the whole environmental governance lifecycle to accelerate the treatment of air pollution, meet public needs, and improve the credibility of the government. Since the implementation of the new standard by all regions within the required schedule, local air quality monitoring realizes real-time, interference-free, and comprehensive coverage with direct reporting. The standard greatly increases the opportunity cost of local government inaction in environmental governance, facilitates environmental supervision by the public, and improves the probability that pollution emissions by firms will be punished. These pressures provide a strong motivation for enterprises, as the main source of Chinese innovation, to carry out whole-lifecycle green technology innovation. Environmental information disclosure creates an important force promoting green technology innovation and pollution and carbon reduction to achieve the double carbon target. This paper is divided into three parts. First, we review the literature regarding the impact of environmental regulations on innovation by firms and combine it with the needs of policy promoting the development of green technology innovation. Given this context, we propose research hypotheses regarding the relationships between environmental protection policy and green technology innovation by firms. Since the implementation of the new standard, we find that green technology innovation by high environmental risk firms has become increasingly positive in response to stricter regional environmental protection law enforcement and more active media supervision. Second, taking all A-share listed firms in China from 2007 to 2017 as the research object and the staggered implementation of the Ambient Air Quality Standard in 2012 across cities as the quasi-natural experiment, we use a multi-period difference-in-differences (DID) method to analyze the differences between high and low environmental risk firms in green technology innovation before and after the implementation of the new standard. After the implementation of the new standard, we find that the green technology innovation of high environmental risk firms becomes more positive as measured by both the quantity and quality of green innovation. The validity of this conclusion is confirmed by a series of robustness tests. The heterogeneity test finds that the new standard's effectiveness in promoting green technology innovation is more significant for state-owned firms and non-patent-intensive firms than for privately owned firms and patent-intensive firms. Further research shows that the effects of the new standard on green technology innovation are significantly enhanced by improvements in environmental law enforcement and the intensity of public and media supervision. Finally, the positive effects of the new standard lead to significant local air quality improvements. Our findings lead us to some policy suggestions. First, the authorities should strengthen and improve the environmental regulation system by classifying and improving the levels of environmental regulation. Second, the authorities should promote the positive advantages of using digital technology to assist environmental regulation in support of green innovation. Third, the authorities should establish a systematic approach to evaluate the effects of environmental regulation on enterprise green innovation. Lastly, a set of evaluation systems can be established to help firms and regulators recognize the content and complexity of green innovation and prudently manage the problems and uncertainties that may be encountered in the innovation process. Such evaluation systems can enable more prospective implementation of regulatory policies to encourage green innovation. We contribute to the literature in several ways. First, from the perspective of institutional economics, we enrich the related theoretical research in the field of macro-environmental policy and micro-behaviors. The environmental regulation literature mainly studies the impacts of command-based and market-based regulation policies on pollution transfer, energy conservation and emission reduction by firms, and on environmental protection investment in general. We evaluate the effectiveness of macro-environmental policy from the perspective of green technology innovation by firms, thereby providing new evidence in the study of existing environmental regulations. Second, we creatively place the Ambient Air Quality Standard and green technology innovation into the same theoretical framework, thereby expanding and enriching the relevant literature on the factors that influence green technology innovation by firms. Finally, we analyze the regulatory and environmental effects of environmental law enforcement, public supervision, and media supervision. The results provide a useful reference to further motivate firms in their support for environmental governance and establish a sound system for the development of a green and low-carbon circular economy.
新标准实施后高环境风险企业绿色创新显著提升
以2007—2017年A股上市公司为样本,采用多期DID,以2012年《环境空气质量标准》分批实施为准自然实验,被解释变量为绿色创新数量和质量(lngreen、lninva、lnuma),核心解释变量为open×envrisk。基准回归显示交互项系数为0.271,在1%水平显著,表明新标准实施后高环境风险企业绿色创新数量显著增加。
绿色创新质量指标同样显著提升
以绿色发明专利和绿色实用新型专利衡量绿色创新质量,open×envrisk系数分别为0.124和0.269,均在5%水平显著,说明新标准不仅提升了绿色创新数量,也提升了绿色创新质量,高环境风险企业更积极从事高质量绿色技术创新。
国有企业和非专利密集型企业促进效应更显著
异质性检验表明,新标准对绿色技术创新的促进效果在国有企业和非专利密集型企业中比在民营企业和专利密集型企业中更显著。open×envrisk在国有企业组系数为0.420(1%显著),而非国有企业组不显著,说明制度环境和知识产权结构影响政策效果。
环境执法和公众媒体监督增强政策效果
分组检验显示,在环境执法强度高、公众监督和媒体监督强的地区,open×envrisk系数更大且更显著;在执法弱或监督弱的地区系数不显著。表明环境执法、公众监督和媒体监督是新标准促进绿色创新的重要调节机制。
新标准实施显著改善当地空气质量
进一步以SO2和烟尘浓度衡量环境效应,GIT、GII、GIU系数分别为-0.083、-0.127、-0.098,均在1%水平显著,表明新标准通过促进绿色创新显著降低了当地SO2和烟尘排放,改善了空气质量,验证了环境治理政策的最终环境效益。
核心解释变量
环境治理政策冲击(open×envrisk),其中open为2012年《环境空气质量标准》分批实施的政策虚拟变量,envrisk为企业是否为高环境风险企业的虚拟变量
被解释变量
企业绿色技术创新,包括绿色创新数量(lngreen)和绿色创新质量(lninva、lnuma),分别以绿色专利总量、绿色发明专利和绿色实用新型专利加1取自然对数衡量
样本与数据
2007—2017年中国A股上市公司,剔除金融类、ST、*ST、PT公司,最终获得12860个企业—年度观测值,数据来源于CNRDS、WIPO绿色专利清单及上市公司年报
识别方法 / 模型设定
以2012年《环境空气质量标准》在各城市分批实施作为准自然实验,采用多期双重差分法(DID),控制企业固定效应和年份固定效应,并加入企业层面和城市层面控制变量,通过交互项识别政策对高环境风险企业绿色创新的因果效应
内生性及稳健性检验
采用Tobit模型、替换被解释变量、剔除2013年及2018年样本、排除APEC等其他政策干扰、安慰剂检验、倾向得分匹配(PSM)等多种稳健性检验,结果均支持基准结论;同时通过事件研究法检验平行趋势假设
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