Using 2605 Chinese A-share listed companies in the mining, manufacturing, and energy production supply sectors from 2009 to 2020, we examine relationship between climate policy uncertainty (CPU) firm-level total factor productivity (TFP). The main findings are as follows: First, CPU significantly reduces TFP, with a greater impact on low-productivity firms than high-productivity firms; second, negative effect of TFP is most pronounced for non-state-owned, labor-intensive, capital-intensive...

The 26th edition of the United Nations climate change conference (COP26) underlines importance financial products and markets related to "carbon" (e.g., carbon green bond markets). We, our knowledge, are first construct a framework based on multiple time scales market conditions quantify interrelationship between futures markets. Specifically, we estimate it from short-, medium-, long-term perspectives different by combining maximum overlap discrete wavelet transform (MODWT) two quantile...

Abstract This paper introduces “spatial effects” and “dynamic to investigate the influences of economic growth energy transition on cross‐country CO 2 emissions movements within European Union (EU). We apply fixed‐effects dynamic spatial Durbin error model empirically gauge magnitude impacts for a sample 26 EU countries throughout 1990–2015. By analyzing empirical results, we conclude that: (1) Compared with model, traditional panel over‐estimates parameters because regression methods only...

Clean energy market has great potential to promote the balance between economic development and environmental protection, gradually become one of vital markets. This paper investigates real effects external uncertainties from oil price shocks (supply, demand, risk shocks) political factors on clean based a multi-frequency multi-quantile framework. The empirical results show that both significantly impact market, especially demand shock. Two factors, policy uncertainty geopolitical risk, also...

Capital investment is vital for sustainable tourism growth, particularly in times of geopolitical turmoil. This study examines how was influenced by risks considering social globalization as a moderating factor. Data were collected from 18 developing economies between 1995 and 2018. The results the fixed effects least squares dummy variable–corrected methods show that negatively affect capital tourism, with playing role alleviating adverse effect. robust to different measures analyses....

This paper uses a new measure of international trade, i.e. the trade potential index, to welfare gains from across countries. The is based on import shares countries in their gross domestic products. It observed that are low prosperous economies, but they larger poorer economies. Then, investigates impact index renewable energy consumption unbalanced panel dataset 36 Organisation for Economic Co-operation and Development member 1966 2016. novel evidence positively related consumption. also...

We examine whether the public environmental concerns promote development of new energy enterprises through a quasi-experiment China's extreme event 2011 when PM2.5 Surge incident escalated concerns. After this incident, market power in severely polluted regions became 108% higher than that mildly regions. It implies enterprises. This observation is limited to non-state-owned companies, companies without political connections, and subsidies. increased with increasing was because sales...

This study empirically investigates the impact of energy related public environmental concerns on pay gap within polluting companies. It uses extreme event PM2.5 surge at end 2011, which led to an upsurge in China, as a quasi-natural experiment. According our findings, lead significant increase executive–employee companies compared that non-polluting companies, owing executive compensation and no change employee income. The effect increasing is more samples with high agency costs, poor...

Individual Tree Detection and Segmentation (ITDS) is a key step in accurately extracting forest structural parameters from LiDAR (Light Ranging) data. However, most ITDS algorithms face challenges with over-segmentation, under-segmentation, the omission of small trees high-density forests. In this study, we developed bottom–up framework for based on seed points. The proposed method density-based spatial clustering applications noise (DBSCAN) to initially detect trunks filter clusters by set...

This study examines the long-term impacts of climate change on credit spreads using a sample A-share listed companies that issued corporate bonds between 2014 and 2020. The results indicate greater risk company faces, its bonds' spread; secondary bond market perceives potential harm caused by change. conclusion remains valid after endogeneity treatment robustness tests. Furthermore, mechanism testing reveals affects increasing probability bankruptcy, profit volatility, negative investor...

Using daily credit/debit card spending data for personal consumption expenditures the period from 24 January 2020 to 10 June 2020, this paper shows that in United States have been significantly affected by economic shocks COVID-19 era. The evidence is valid when we consider both at national and state levels. also use consumers different income levels within sectors. only exception grocery food stores since effect dampened level 31 of 51 states.

Abstract We investigate the role of managerial ability in relationship between corporate social responsibility (CSR) and firm performance energy industry, where sustainability issues are special interest. first identify a positive association CSR value, which, however, disappears when considering ability. Only MA‐associated components increases firms' value. Finally, managers with superior can still efficiently implement activities to foster value during financial crisis. Taken together,...