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Rectifying local governments’ strategic environmental enforcement: Can refined air pollution monitoring enhance local air quality in China? 整顿地方政府的战略性环境执法:精细化空气污染监测能否改善中国地方空气质量?
IF 7.9 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-13 DOI: 10.1016/j.eap.2024.10.009
Ruqi Wang , Pei Xu , Honggui Gao
Insufficient local environmental enforcement has become a pivotal economic and political concern in China. In 2017, the Chinese central government introduced the Air Pollution Hot-Spot Grid (APHG) monitoring program. However, little is known about the consequences. This study investigates in detail how this monitoring program affects city-level air pollution by applying the difference-in-differences method. This program was responsible for a notable decrease in air pollution at the city level. This decrease was mostly the result of stronger local environmental governance, advances in green innovation, and an upgraded industrial structure. Additionally, an examination of heterogeneous treatment effects across different cities revealed that the most substantial effects were observed in large, non-resource-based, and eastern cities. Additional analysis reveals the presence of a spillover effect, whereby the adoption of this program in one city helps reduce air pollution in nearby cities. These results highlight the significance of refined air pollution monitoring for addressing imperfect local environmental enforcement.
地方环境执法力度不足已成为中国经济和政治方面的一个关键问题。2017 年,中国中央政府推出了大气污染热点网格(APHG)监测项目。然而,人们对其后果知之甚少。本研究采用差分法详细研究了该监测项目如何影响城市一级的空气污染。该计划使城市一级的空气污染明显减少。这种下降主要是由于地方环境治理的加强、绿色创新的进步以及产业结构的升级。此外,对不同城市异质性处理效果的研究表明,在大城市、非资源型城市和东部城市观察到的效果最为显著。其他分析表明了溢出效应的存在,即一个城市采用该计划有助于减少附近城市的空气污染。这些结果凸显了精细化空气污染监测对于解决地方环境执法不完善问题的重要意义。
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引用次数: 0
Does environmental regulation affect corporate environmental awareness? A quasi-natural experiment based on low-carbon city pilot policy 环境监管会影响企业的环境意识吗?基于低碳城市试点政策的准自然实验
IF 7.9 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-12 DOI: 10.1016/j.eap.2024.10.022
Xing Gao , Xinjie Lai , Xuan Tang , Yue Li
The low-carbon city pilot (LCCP) policy, as an important measure for China to achieve its "dual carbon" goals, has attracted widespread attention regarding its implementation effects. However, no studies have yet focused on the impact of the LCCP policy on corporate environmental awareness. This study, based on data from Chinese A-share listed companies from 2007 to 2020, employs a triple difference model to evaluate the impact of the LCCP policy on corporate environmental awareness, filling the aforementioned gap in the literature. The results indicate that the LCCP policy can significantly enhance corporate environmental awareness, particularly in non-state-owned enterprises, enterprises in the growth stage, and those located in the eastern regions. The LCCP policy will compel corporations to enhance their environmental awareness by increasing the costs of environmental penalty and environmental governance. However, the analysis of economic consequences reveals that although corporate environmental awareness has improved, it has not directly translated into significant economic benefits or substantial environmental benefits. This may be indicative of a scenario where, in the short term, the cost effect of the LCCP policy outweighs the compensation effect. Nevertheless, the improvement in the quality of information disclosure can significantly mitigate these adverse economic consequences. This research not only enriches the academic outcomes related to environmental regulatory policies but also contributes to ensuring the effective achievement of green, low-carbon objective and the sustainable development of the economy and society.
低碳城市试点(LCCP)政策作为中国实现 "双碳 "目标的重要举措,其实施效果受到广泛关注。然而,尚未有研究关注 LCCP 政策对企业环境意识的影响。本研究基于 2007 年至 2020 年中国 A 股上市公司数据,采用三重差分模型评估 LCCP 政策对企业环境意识的影响,填补了上述文献空白。结果表明,LCCP 政策能够显著提高企业的环境意识,尤其是在非国有企业、成长期企业和东部地区企业中。LCCP 政策将通过增加环境惩罚成本和环境治理成本,迫使企业增强环境意识。然而,对经济后果的分析表明,虽然企业的环保意识有所提高,但并没有直接转化为显著的经济效益或实质性的环境效益。这可能表明,在短期内,LCCP 政策的成本效应大于补偿效应。然而,信息披露质量的提高可以大大减轻这些不利的经济后果。这项研究不仅丰富了与环境监管政策相关的学术成果,也有助于确保绿色低碳目标的有效实现和经济社会的可持续发展。
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引用次数: 0
Nexus between green credit efficiency and strategic, business and management digital transformation–based on 114 commercial banks in China 基于中国 114 家商业银行的绿色信贷效率与战略、业务和管理数字化转型之间的关系
IF 7.9 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-12 DOI: 10.1016/j.eap.2024.10.019
Fu Chen , Fangfang Li , Jie Xu , Yongtai Sun , Fangyuan Li
With the expansion of green finance and the digital economy, the discussion on the evolution of green credit business and the digitalization of commercial banks have grown in prominence. However, limited research has been done on how different degrees of digital transformation in commercial banks—the main issuers—affect the way of green credit efficiency. To fill this gap, based on data from 114 Chinese commercial banks between 2010 and 2021, this paper explores the impact of digitalization on the green credit efficiency through the integration of several methodologies. The paper indicates that enhancing the digitalization, business digitization, and management digitization of commercial banks can greatly enhance the effectiveness of green credit businesses, but the impact of strategic digitization is not significant. Further analysis reveals that digitization facilitates the expansion of overall bank assets, thereby bolstering the green credit business. It also investigates the characteristics of commercial banks and the geographical distribution of their headquarters, indicating a diminished promotional impact for urban and rural banks, as well as banks in the central areas. Finally, this study contends that commercial banks ought to leverage digital resources extensively to facilitate digital transformation and bolster the advancement of green credit operations. It is also recommended that the government should implement preferential policies for regions and banks exhibiting slower developmental progress.
随着绿色金融和数字经济的发展,关于绿色信贷业务的演变和商业银行数字化的讨论也越来越多。然而,对于商业银行--发放绿色信贷的主体--不同程度的数字化转型如何影响绿色信贷效率方式的研究却十分有限。为填补这一空白,本文基于 2010 年至 2021 年间 114 家中国商业银行的数据,综合运用多种方法探讨了数字化对绿色信贷效率的影响。本文指出,加强商业银行的数字化、业务数字化和管理数字化可以大大提高绿色信贷业务的效率,但战略数字化的影响并不显著。进一步的分析表明,数字化有利于银行整体资产的扩张,从而促进绿色信贷业务的发展。本研究还对商业银行的特点及其总部的地理分布进行了调查,结果表明城市银行、农村银行以及中心地区银行的促进作用减弱。最后,本研究认为,商业银行应广泛利用数字资源,促进数字化转型,推动绿色信贷业务的发展。本研究还建议政府对发展较慢的地区和银行实施优惠政策。
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引用次数: 0
Industry spillover effects of robot applications on labor productivity: Evidence from China 机器人应用对劳动生产率的行业溢出效应:来自中国的证据
IF 7.9 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-12 DOI: 10.1016/j.eap.2024.10.018
Tuolei Wu , Na Yan , Jingxian Wang , Jieping Chen
This paper provides new insights into the industry spillover on labor productivity by discussing the spillover effects of robot application among industries in three spillover directions: horizontal, forward, and backward spillover. In addition, this paper measures the three spillovers with the weight matrices from the year 2012 input-output table by the Chinese National Bureau of Statistics. Using a spatial econometric model and 2000–2010 data on China's secondary industry, this paper tests three hypotheses relating to the direct effect and the spillover effects of robot applications. The main results show that the robot application of one industry can improve labor productivity significantly. Moreover, all three kinds of spillover have significant positive effects on the labor productivity of a focal industry. Among them, the forward spillover exerts the greatest impact on labor productivity. The heterogeneity effects exist due to the industry's factor intensity and technological structure etc. The findings of this study could provide several important implications for the development of a given industry and the industry chain of a country as well.
本文从横向溢出、前向溢出和后向溢出三个溢出方向探讨了机器人应用在行业间的溢出效应,为劳动生产率的行业溢出提供了新的视角。此外,本文还利用中国国家统计局 2012 年投入产出表中的权重矩阵来衡量这三种溢出效应。本文利用空间计量经济模型和 2000-2010 年中国第二产业数据,检验了与机器人应用的直接效应和溢出效应相关的三个假设。主要结果表明,一个行业的机器人应用可以显著提高劳动生产率。此外,三种溢出效应都对重点产业的劳动生产率有明显的积极影响。其中,前向溢出对劳动生产率的影响最大。由于产业的要素密集度和技术结构等原因,存在异质性效应。本研究的结论可为特定产业和国家产业链的发展提供若干重要启示。
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引用次数: 0
Doing good in times of need: Green finance policy and strategic corporate social responsibility 在需要的时候做好事:绿色金融政策和战略性企业社会责任
IF 7.9 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-11 DOI: 10.1016/j.eap.2024.10.008
Yan Sheng , Shuai Wang , Yanan Wang
This study investigates the effect of a green finance policy on the corporate social responsibility (CSR) activities of firms in heavily polluting industries. Based on the 2017 policy of the People's Bank of China (PBC), which incorporates green finance into its macroprudential assessment system, we employ the difference-in-differences method to show that firms in heavily polluting industries have significantly improved their CSR performance after the implementation of the PBC's green finance policy. In response to the negative effect of the PBC's policy on their financial position, affected firms strategically engage in CSR activities in the hope that appearing socially responsible will help them recover from their adverse position. Furthermore, firms in heavily polluting industries that enhance their CSR performance after the PBC's policy have benefited from reduced bank credit transaction costs and have obtained more bank loans. The improvement in CSR performance is mainly concentrated in firms that are non-state-owned, small in size, highly dependent on external financing, and receiving more media attention. Overall, this study reveals a social consequence of the PBC's green finance policy on the CSR performance.
本研究探讨了绿色金融政策对重污染行业企业社会责任(CSR)活动的影响。基于中国人民银行(PBC)2017年将绿色金融纳入宏观审慎评估体系的政策,我们采用差分法表明,在中国人民银行绿色金融政策实施后,重污染行业企业的企业社会责任绩效得到了显著改善。由于中国人民银行的政策对其财务状况产生了负面影响,受影响的企业有策略地参与企业社会责任活动,希望以社会责任的形象帮助其从不利地位中恢复过来。此外,重污染行业的企业在中国人民银行的政策出台后提高了企业社会责任表现,从而受益于银行信贷交易成本的降低,获得了更多的银行贷款。企业社会责任绩效的提高主要集中在非国有企业、规模较小、高度依赖外部融资以及媒体关注度较高的企业。总体而言,本研究揭示了中国人民银行绿色金融政策对企业社会责任绩效的社会影响。
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引用次数: 0
Does local government debt pressure hamper green transition? Evidence from China 地方政府的债务压力会阻碍绿色转型吗?来自中国的证据
IF 7.9 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-10 DOI: 10.1016/j.eap.2024.10.006
Song Nie , Gang Zeng , Xu Zhang , Qiaozhe Guo
The accumulated local government debt will change government fiscal behavior, which will further impact regional environment performance to a certain extent. However, the literature on how local government debt pressure (LGDP) affect green transition is scarce. By measuring the green transition by green total factor productivity (GTFP), we analyze the effect of LGDP on GTFP. We find that LGDP significantly reduces the GTFP. The negative effect acts through reducing green innovation and loosing environmental regulation. In addition, the negative impact will be more pronounced in cities with weak governance, development, and environmental protection efforts. Finally, enhancing marketization, lowering GDP growth target, and reducing tax burdens can alleviate the adverse effect of LGDP on GTFP. The conclusions of this study provide theoretical support for appropriate government debt governance and have important practical significance for green sustainable development in developing countries.
累积的地方政府债务将改变政府的财政行为,并在一定程度上进一步影响区域环境绩效。然而,关于地方政府债务压力(LGDP)如何影响绿色转型的文献却很少。通过用绿色全要素生产率(GTFP)来衡量绿色转型,我们分析了 LGDP 对 GTFP 的影响。我们发现,地方政府债务压力大大降低了 GTFP。这种负面影响是通过减少绿色创新和放松环境监管产生的。此外,在治理、发展和环境保护工作薄弱的城市,负面影响会更加明显。最后,加强市场化、降低 GDP 增长目标和减轻税收负担可以减轻地方政府发展计划对 GTFP 的不利影响。本研究的结论为适当的政府债务治理提供了理论支持,对发展中国家的绿色可持续发展具有重要的现实意义。
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引用次数: 0
Promoting green technology innovation through policy synergy: Evidence from the dual pilot policy of low-carbon city and innovative city 通过政策协同促进绿色技术创新:来自低碳城市和创新型城市双试点政策的证据
IF 7.9 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-10 DOI: 10.1016/j.eap.2024.10.005
Yaobin Liu , Weifeng Deng , Huwei Wen , Shuoshuo Li
Green technology innovation (GTI) is the key to overcoming the dilemma between economic development and environmental protection, requiring integrates environmental regulatory policies and innovation incentive policies to counteract its double externalities. This study examined the effects of the dual pilot policy (DPP) of low-carbon city pilot policy (LCCPP) and innovative city pilot policy (ICPP) on GTI based on panel data from 281 prefecture-level cities in China spanning 2007 to 2022. We found that DPP significantly improves both substantive green technology innovation (SUGTI) and strategic green technology innovations (STGTI), with a more pronounced effect identified on STGTI. LCCPP and ICPP demonstrate a policy-synergistic effect and a more sustainable and powerful influence compared to the single pilot policy of LCCPP or ICPP. Mechanism analysis reveals that DPP corrects the positive externalities of innovative knowledge by improving innovation subsidies, independent innovation capabilities, and innovation efficiency. DPP also corrects the negative externalities of environmental pollution by promoting environmental services, industrial transformation, and cleaner production. This effect of DPP on GTI appears insignificant in western cities, cities with low industry agglomeration, cities with abundant resource, and cities with low environmental awareness. Moreover, DPP engenders a demonstration effect for neighboring cities in their GTI. Our findings reveal that intensifying the policy synergy effects of LCCPP and ICPP can more efficiently and sustainably promote SUGTI and STGTI. To maximize the synergistic effects of LCCPP and ICPP, it is essential to strength the green effect of LCCPP and the innovative effect of ICPP, integrating various policy tools to complement and reinforce each other.
绿色技术创新(GTI)是克服经济发展与环境保护之间两难困境的关键,需要整合环境监管政策和创新激励政策来抵消其双重外部性。本研究基于 2007 年至 2022 年中国 281 个地级市的面板数据,考察了低碳城市试点政策(LCCPP)和创新型城市试点政策(ICPP)双试点政策(DPP)对 GTI 的影响。我们发现,低碳城市试点政策对实质性绿色技术创新(SUGTI)和战略性绿色技术创新(STGTI)均有明显改善,其中对战略性绿色技术创新的影响更为明显。与 LCCPP 或 ICPP 的单一试点政策相比,LCCPP 和 ICPP 显示出政策协同效应和更持续、更强大的影响力。机制分析表明,DPP 通过提高创新补贴、自主创新能力和创新效率,纠正了创新知识的正外部性。DPP 还通过促进环境服务、产业转型和清洁生产来纠正环境污染的负外部性。在西部城市、产业集聚程度低的城市、资源丰富的城市和环境意识淡薄的城市,DPP 对 GTI 的影响并不明显。此外,DPP 对周边城市的 GTI 产生了示范效应。我们的研究结果表明,强化 LCCPP 和 ICPP 的政策协同效应可以更有效、更可持续地促进 SUGTI 和 STGTI。为了最大限度地发挥 LCCPP 和 ICPP 的协同效应,必须强化 LCCPP 的绿色效应和 ICPP 的创新效应,整合各种政策工具,使其相互补充、相互促进。
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引用次数: 0
Regulatory Effects of the Combinations of Aggregate and Structural Monetary Policy Instruments: an application of New Keynesian DSGE model to China 总量型和结构型货币政策工具组合的调控效果:新凯恩斯主义 DSGE 模型在中国的应用
IF 7.9 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-09 DOI: 10.1016/j.eap.2024.10.002
Li-Hui Wang , Fu-An Li
This paper selects Chinese macroeconomic data from the first quarter of 2009 to the first quarter of 2020 and employs a New Keynesian dynamic stochastic general equilibrium model that incorporates the financial accelerator mechanism, price stickiness, and invisible government guarantees. The regulatory effects of different combinations of monetary policy instruments are compared from five perspectives: the shock effect of monetary policy, the magnitude of economic volatility of non-monetary policy shocks, the Central Bank loss function, the gap in the distribution of household income, and the heterogeneous firm external financing premium. Our findings indicate that the regulatory effects of the aggregate price-based and structural quantity-based monetary policy instrument combination are optimal, a conclusion that is further supported by the robustness test. It is therefore recommended that the Central Bank consider the potential benefits of a combined approach to aggregate and structural monetary policy instruments, with a view to enhancing credit availability for the real economy. This paper represents a significant contribution to the field, as it is the first to explicitly propose four distinct monetary policy instrument combinations, thereby overcoming the limitations of previous studies that have focused on a single instrument or a narrow range of instruments. The paper also contributes to the theoretical understanding of monetary policy instruments.
本文选取 2009 年第一季度至 2020 年第一季度的中国宏观经济数据,采用新凯恩斯主义动态随机一般均衡模型,将金融加速器机制、价格粘性和政府隐形担保纳入模型。从货币政策的冲击效应、非货币政策冲击的经济波动幅度、中央银行损失函数、家庭收入分配差距和异质性企业外部融资溢价五个方面比较了不同货币政策工具组合的调控效果。我们的研究结果表明,以价格为基础的总量型货币政策工具和以结构数量为基础的结构型货币政策工具组合的调控效果是最佳的,稳健性检验进一步支持了这一结论。因此,建议中央银行考虑总量型和结构型货币政策工具组合方法的潜在益处,以提高实体经济的信贷供应量。本文是对这一领域的重大贡献,因为它首次明确提出了四种不同的货币政策工具组合,从而克服了以往研究只关注单一工具或范围较窄的工具的局限性。本文还有助于从理论上理解货币政策工具。
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引用次数: 0
Does tax refund policy boost executive compensation? 退税政策会提高高管薪酬吗?
IF 7.9 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-05 DOI: 10.1016/j.eap.2024.09.030
Haiyan Li , Peiyan Yin
Tax reforms have a profound impact on corporate compensation. While existing research has extensively examined the effects of tax cuts and breaks on corporate compensation, the relationship between tax refunds and executive compensation remains largely unexplored. To address this gap, this paper employs a difference-in-differences approach to investigate the causal effect of China’s value-added tax credit refund policy on executive compensation. The findings reveal that the tax refund policy increases executive compensation, primarily by enhancing net income, which lays the financial foundation for higher executive compensation. These effects also exhibit heterogeneity across corporate regions, life cycle stages, ownership structures, and executive categories. This paper is the first to explore the relationship between tax refunds and executive compensation, providing valuable insights into how external tax policies influence corporate internal incentive structures.
税制改革对企业薪酬影响深远。虽然现有研究已广泛考察了减税和免税对企业薪酬的影响,但退税与高管薪酬之间的关系在很大程度上仍未得到探讨。针对这一空白,本文采用差分法研究了中国增值税抵扣退税政策对高管薪酬的因果效应。研究结果表明,退税政策主要通过增加净收入来提高高管薪酬,而净收入为提高高管薪酬奠定了财务基础。这些影响在不同地区、不同生命周期阶段、不同所有权结构和不同高管类别的企业中也表现出异质性。本文首次探讨了退税与高管薪酬之间的关系,为了解外部税收政策如何影响企业内部激励结构提供了宝贵的见解。
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引用次数: 0
Driving economic transition: The impact of cross-border e-commerce policy on the upgrading of service industry structure 推动经济转型:跨境电商政策对服务业结构升级的影响
IF 7.9 2区 经济学 Q1 ECONOMICS Pub Date : 2024-10-05 DOI: 10.1016/j.eap.2024.10.001
Fei Xue
Cross-border e-commerce, as an innovative format and model of international trade, plays a crucial role in accelerating the transformation and upgrading of industrial structures, and shaping a modern economic framework. Using panel data from 260 prefecture-level cities in China from 2003 to 2019, this study investigates the impact of the cross-border e-commerce comprehensive pilot area (CBECCPA) policy on the upgrading of service industry structure and its mechanisms using the staggered difference-in-differences (DID) method. The results show that the CBECCPA policy can significantly promote the upgrading of service industry structure. The mechanism analysis reveals that the CBECCPA policy can promote the upgrading of service industry structure by clustering service industry enterprises, bolstering urban innovation, and increasing the scale of trade. Heterogeneity analysis indicates that the impact of the CBECCPA policy on the information transmission, software, and information technology service industry is more pronounced and the policy effect is stronger for those with a lower level of service industry structure and for pilot areas with higher levels of development, developmental foundation, developmental scale, and developmental innovation. Furthermore, the policy effect varies significantly across cities. This study provides empirical evidence and policy insights into the role of the CBECCPA in the upgrading of service industry structure.
跨境电商作为国际贸易的创新业态和模式,在加快产业结构转型升级、塑造现代经济框架方面发挥着至关重要的作用。本研究利用2003-2019年中国260个地级市的面板数据,采用交错差分法(DID)研究了跨境电子商务综合试验区(CBECCPA)政策对服务业结构升级的影响及其机制。结果表明,CBECCPA 政策能够显著促进服务业结构升级。机制分析表明,CBECCPA 政策可以通过集聚服务业企业、支持城市创新和扩大贸易规模来促进服务业结构升级。异质性分析表明,CBECCPA 政策对信息传输、软件和信息技术服务业的影响更加明显,对服务业结构水平较低的地区和发展水平、发展基础、发展规模、发展创新能力较强的试点地区的政策效应更强。此外,不同城市的政策效应也存在显著差异。本研究为《中英两国经济合作框架协议》在服务业结构升级中的作用提供了经验证据和政策启示。
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引用次数: 0
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Economic Analysis and Policy
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