Investment in environmental protection, green innovation, and solid waste governance capacity: empirical evidence based on panel data from China

The aim of this research is to examine the potential influence of FDI inflows and tourism industry on carbon dioxide emissions in China using System GMM models for a sample period of 1980–2019. Using FMOLS and DOLS models, this research examines the long-term relationship between the variables, as well as the long-term association among components. Co-joining the boards of FMOLS and DOLS models shows a general correlation between the investigation elements and CO2 emissions in China. FDI, tourism sector, and environment-friendly electricity use have all been major contributors to rising CO2 emissions in China for a long time. Using System GMM, FMOLS, and DOLS models in China, we examined the influence of the travel sector on carbon dioxide emissions as well as environment-friendly electricity usage and foreign direct investment. The government of China is being pushed to attract more foreign direct investment in order to improve the system and expand the transportation industry. As a reasonable responsibility to an unnatural climate change, methods for developing the movement business and theories relating to the movement business should be adopted.

Section: Literature Reviewmentioning

confidence: 99%

The Influence of Foreign Direct Investment and Tourism on Carbon Emission in China

Wang

Mufarreh

et al. 2022

“…Commonly used robustness testing methods include the instrumental variable method (Peng et al, 2020;Liu et al, 2022;Peng et al, 2022.;Zhao et al, 2022), variable lag, etc. At the same time, controlling individual effects of enterprises is also an important robustness testing method (Peng et al, 2021a;Peng et al, 2021c;Peng R. et al, 2021;Gu et al, 2021). In the above analysis process, this paper has carried out regression analysis after controlling the individual effect of enterprises.…”

Section: Robustness Checkmentioning

confidence: 99%

Can Application of Artificial Intelligence in Enterprises Promote the Corporate Governance?

Cui

Razzaq

2022

The impact of artificial intelligence (AI) on the economy and industry has gradually extended from the macroeconomic to the microeconomic level. Artificial intelligence technology has brought great innovation and impact to the company’s operation and management and has a strong role in promoting the level of corporate governance. Based on an in-depth analysis of the theoretical mechanism of artificial intelligence affecting corporate governance, and based on the balanced panel data of Chinese A-share listed companies from 2011 to 2020, this paper empirically analyzes the mechanism and intermediary effect of artificial intelligence affecting corporate governance. The study found that AI applications can significantly improve corporate governance levels, and a higher level of artificial intelligence application can produce a higher level of corporate governance. From the perspective of the impact path, artificial intelligence technology can significantly improve the degree of information symmetry required for corporate governance, thereby providing favorable technical conditions and decision support for improving the level of corporate governance. Artificial intelligence technology has a positive and effective impact on corporate governance through the information symmetry effect.

“…From the perspective of current environmental protection practices in China, local governments mainly formulate and implement EG policies (Pan and Tang, 2021;Wang et al, 2021), environmental audits (Patriarca et al, 2017;Cao et al, 2022) and EGI (Basoglu and Uzar, 2019;Li and Ramanathan, 2020) to improve environmental quality, and achieved certain effects (Xiong et al, 2020;Jiang et al, 2020). However, some scholars pointed out that due to imperfect legal systems (Moshiri and Daneshmand, 2020), the unreasonable allocation of fiscal environmental protection expenditures (López et al, 2011), the existence of corruption Zhao et al, 2022) and spatial spillover effect (He et al, 2018;Zhao et al, 2021), the EG measures implemented by local governments cannot effectively reduce pollution emissions.…”

Section: Study On the Impact Of Government On Egmentioning

confidence: 99%

Research on China's Environmental Governance Mode: Quality Driven or Quantity Driven?

Chen²,

Zhao³

et al. 2022

High-quality environmental governance (EG) is closely related to its governance mode. Nevertheless, few studies have examined the EG modes from the dual perspectives of quality and quantity. This article utilizes panel data of 30 Chinese provinces from 2003 to 2020 to research the influence of environmental governance efficiency (EGE) and investment (EGI) on EG through a fixed-effect mode. The outcomes show that China’s EG is driven mainly by quantitative EGI. EGE and EGI show significant geographic regions, economic development levels, resource endowments, and stage heterogeneity to EG. In light of these conclusions, this article argues that the future needs to reasonably allocate EGI based on consideration of the heterogeneity of geographical regions, economic development levels, and resource endowments to optimize EGI structure and increase EGE in each province to achieve high-quality EG.