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能效信贷政策对企业实质性绿色创新的影响
The effect of energy efficiency credit policy on substantive green innovation of enterprises
既有文献多关注绿色金融对绿色创新的整体影响,却普遍忽视了能效信贷这一“升级版”绿色金融工具能否有效激发高质量的实质性绿色创新。本文以《能效信贷指引》政策为准自然实验,选取2012—2020年A股上市公司数据构建双重差分模型(DID),研究能效信贷政策对企业实质性绿色创新的影响效应及机制。研究显示:能效信贷政策实施切实激发了高质量的实质性绿色创新,却未诱发低水平的策略性绿色创新,为“波特假说”提供了新的微观证据。机制检验表明,能效信贷政策可通过诱发绿色投资者进入、绿化高管注意力与降低代理成本,进而对企业实质性绿色创新产生积极冲击。能效信贷政策的积极影响依赖于差异化战略、内部控制与媒体关注等内外部条件的正向调节作用,且在金融监管更严格、博彩文化更浓郁与数字经济发展、社会责任水平更高的地区,能效信贷政策效果更为明显。本研究为加快构建中国特色绿色金融体系提供了微观层面的证据。
Existing literatures mainly focus on the overall impact of green finance on green innovation, but generally overlook whether the upgraded green finance tool of energy efficiency credit can effectively stimulate the high-quality, substantive green innovation. Using the energy efficiency credit guidelines policy as a quasi-natural experiment, this study employed a difference-in-differences model with the data from A-share listed companies between 2012 and 2020 to examine the effect and mechanism of energy efficiency credit policy on corporate substantive green innovation. The results showed that the implementation of the energy efficiency credit policy effectively stimulates high-quality, substantive green innovation, but does not induce low-level, strategic green innovation. This has provided new micro-level evidence for the Porter Hypothesis. The mechanism analysis revealed that the policy promotes green innovation by attracting green investors, focusing executives' attention on green issues, and reducing agency costs. The positive impact of the energy efficiency credit policy depends on the favorable moderating effects of factors such as differentiated strategies, internal controls, and media attention. Additionally, the policy has a more pronounced effect in regions with more strict financial regulations, a stronger gambling culture, and higher levels of digital economy development and social responsibility. This study will offer some micro-level evidence to support the acceleration of building a green finance system with Chinese characteristics.
energy efficiency credit policy / substantive green innovation / difference-in-differences model
| [1] |
|
| [2] |
|
| [3] |
薛飞, 陈煦. 绿色财政政策的碳减排效应:来自“节能减排财政政策综合示范城市”的证据[J]. 财经研究, 2022, 48(7): 79-93.
|
| [4] |
韩先锋, 宋文飞, 李勃昕, 等. 数字金融赋能绿色创新的异质非线性调节效应[J]. 中国人口·资源与环境, 2022, 32(10): 65-76.
|
| [5] |
张伟, 李虎林, 安学兵. 利用FDI增强我国绿色创新能力的理论模型与思路探讨[J]. 管理世界, 2011(12): 170-171.
|
| [6] |
|
| [7] |
徐宁, 白英杰, 李昱潼. 高管声誉驱动绿色创新的双路径机制:时间导向与信号传递的视角[J]. 科学学与科学技术管理, 2024, 45(8): 162-181.
|
| [8] |
户安涛, 张振刚, 叶宝升. 制造企业数字赋能绿色创新过程机理的案例研究[J]. 管理学报, 2024, 21(9): 1265-1274.
基于数字资源编排视角,以格力电器为研究对象,采用纵向单案例研究方法,探讨制造企业数字赋能绿色创新的过程机理。研究发现:①数字赋能绿色创新经历传统绿色、以数促绿和数绿融合3个发展阶段;绿色创新的层次性体现为绿色工艺创新、绿色流程创新和绿色组织创新。②数字资源编排的具体过程为“数字资源结构化—数字资源能力化—数字资源绿色化”,且存在改良式、集成式和嵌入式3种不同的数字资源编排方式。③在传统绿色发展阶段,由政策驱动因素为主导,经过改良式编排实现局部绿色工艺创新;在以数促绿发展阶段,由市场驱动因素为主导,经过集成式编排实现价值链全流程绿色创新;在数绿融合发展阶段,由战略驱动因素为主导,经过嵌入式编排实现组织和产业生态绿色创新。
Based on the perspective of digital resource orchestration, this study takes Gree Electric Appliances as the research object and adopts a vertical single case study method. The results are as follows:①digitalization promotes green innovation through three stages, namely the traditional green development stage, the green development stage with digitalization, and the green development stage embedded of digitalization. And green innovation has three dimensions, namely green technology innovation, green process innovation, and green organizational innovation. ②Digital resource orchestration follows the specific process of “digital resource construction—digital resource bundling—digital resource leveraging”, and has three different ways of “improved, integrated, and embedded”. ③In the traditional green development stage, enterprises achieve green technology innovation through improved orchestration mechanism. In the green development stage with digitalization, enterprises achieve green process innovation through integrated orchestration mechanism. In the green development stage embedded of digitalization, manufacturing firms achieve green organizational innovation through embedded orchestration mechanism.
|
| [9] |
|
| [10] |
王永贵, 李霞. 促进还是抑制:政府研发补助对企业绿色创新绩效的影响[J]. 中国工业经济, 2023(2): 131-149.
|
| [11] |
李慧云, 刘倩颖, 李舒怡, 等. 环境、社会及治理信息披露与企业绿色创新绩效[J]. 统计研究, 2022, 39(12): 38-54.
|
| [12] |
|
| [13] |
金环, 于立宏, 徐远彬. 绿色产业政策与制造业绿色技术创新[J]. 中国人口·资源与环境, 2022, 32(6): 136-146.
|
| [14] |
王馨, 王营. 绿色信贷政策增进绿色创新研究[J]. 管理世界, 2021, 37(6): 173-188.
|
| [15] |
陈彦龙, 谌仁俊, 李明轲. 环保考核对各类主体绿色创新活力的影响[J]. 数量经济技术经济研究, 2023, 40(12): 194-214.
|
| [16] |
张晓颖, 李红霞, 马艳, 等. 环境保护税、政府创新补助与企业绿色创新[J]. 财政研究, 2024(2): 98-113.
|
| [17] |
张杨, 宝龙, 郑晶晶, 等. 策略性回应还是实质性响应?碳排放权交易政策的企业绿色创新效应[J]. 南开管理评论, 2024, 27(3): 129-140.
|
| [18] |
|
| [19] |
刘强, 王伟楠, 陈恒宇. 《绿色信贷指引》实施对重污染企业创新绩效的影响研究[J]. 科研管理, 2020, 41(11): 100-112.
|
| [20] |
陈艳莹, 于千惠, 刘经珂. 绿色产业政策能与资本市场有效“联动”吗:来自绿色工厂评定的证据[J]. 中国工业经济, 2022(12): 89-107.
|
| [21] |
|
| [22] |
于飞, 袁胜军, 胡泽民, 等. 网络密度、高管注意力配置与制造企业服务创新:知识基础的调节作用[J]. 管理评论, 2022, 34(10): 158-169.
|
| [23] |
沈红波, 张广婷, 阎竣. 银行贷款监督、政府干预与自由现金流约束:基于中国上市公司的经验证据[J]. 中国工业经济, 2013(5): 96-108.
|
| [24] |
韩先锋, 李勃昕, 刘娟. 中国OFDI逆向绿色创新的异质动态效应研究[J]. 科研管理, 2020, 41(12): 32-42.
|
| [25] |
舒利敏, 廖菁华, 谢振. 绿色信贷政策与企业绿色创新:基于绿色产业视角的经验证据[J]. 金融经济学研究, 2023, 38(2): 144-160.
|
| [26] |
王辉, 林伟芬, 谢锐. 高管环保背景与绿色投资者进入[J]. 数量经济技术经济研究, 2022, 39(12): 173-194.
|
| [27] |
姜广省, 卢建词, 李维安. 绿色投资者发挥作用吗?:来自企业参与绿色治理的经验研究[J]. 金融研究, 2021(5): 117-134.
|
| [28] |
解学梅, 韩宇航. 本土制造业企业如何在绿色创新中实现“华丽转型”?: 基于注意力基础观的多案例研究[J]. 管理世界, 2022, 38(3): 76-106.
|
| [29] |
李明辉. 股权结构、公司治理对股权代理成本的影响:基于中国上市公司2001-2006年数据的研究[J]. 金融研究, 2009(2): 149-168.
|
| [30] |
赵奇锋, 赵文哲, 卢荻, 等. 博彩与企业创新:基于文化视角的研究[J]. 财贸经济, 2018, 39(9): 122-140.
|
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|
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