The impact of climate policy uncertainty on green mergers and acquisitions.

Green mergers and acquisitions (GM&A) represent a critical strategy for firms to align with environmental constraints objectives of sustainable development. This paper leverages data from A- -share listed companies spanning 2007 to 2021 to examine the impact of climate policy uncertainty (CPU) on green mergers and acquisitions activities and their underlying mechanisms. This paper reveals that climate policy uncertainty catalyzes green mergers and acquisitions, with a pronounced effect observed among non-state-owned enterprises, firms within the non-energy sector and high-tech sector.

Assessing the rebound effects of clean energy sectors and carbon tax on fossil fuels: A dynamic CGE-based analysis.

Improving the efficiency of clean energy sectors is widely recognized as a key strategy for accelerating the low-carbon transition. While efficiency gains in fossil fuels often raise concerns about rebound effects, similar effects in clean energy may instead support cleaner production and energy structure optimization. This study aims to quantify the macroeconomic and environmental impacts of rebound effects resulting from clean energy efficiency improvements, with particular attention to sectoral differences and policy interactions.

Roads to sustainable development: Pioneering industrial green transformation through digital economy policy.

This study employs a staggered difference-in-differences approach to examine the impact of digital economy policy on industrial green transformation, using the Broadband China demonstration cities policy as a quasi-natural experiment. The findings suggest that, first, digital economy policies contribute significantly to industrial green transformation through three primary mechanisms: by increasing public environmental awareness, by fostering green innovation, and by expanding the information industry. Second, the effect is contingent on several factors, namely resource endowments (particularly stronger in non-resource-based cities); the type of industrial city (stronger in non-old industrial base cities); the size of the city (with a stronger effect observed in large cities compared to small and medium-sized agglomerations), and geographic location (with a stronger effect observed in eastern regions).

Hybrid electric vehicles and sustainable development: A mixed-method analysis.

The present study's objective is to determine the explanations (in favour and against) behind the attitude and intention of Generation-Z customers to adopt hybrid electric vehicles (HEVs). The research has adopted a mixed-methods design to explore and recognise the context-defined explanations (in favour and against) for HEV adoption and the moderating influence of sustainability consciousness grounded on behavioural reasoning theory. Initially, a qualitative approach was employed, followed by a survey-based quantitative approach.

Assessment of synergistic governance of pollution and carbon reduction.

Based on a quasi-natural experiment with the Zero Waste Cities (ZWC) initiative launched in 2019, this study takes 14,191 Chinese A-share listed companies from 2014 to 2022 as the research object to assess the impact of the policy on pollution and carbon emission reduction through a difference-in-difference method. It highlights the superior effectiveness of ZWC in enhancing collaborative efforts towards emissions reduction, with waste reduction impacts exceeding those on carbon emissions. The success is attributed to three main channels: rigorous environmental governance, green innovation promotion by firms, and shifts in public behavior.

A systematic risk spillover perspective for modelling China's energy security: Firm-level evidence.

The concept of energy security has gained extensive attention in academic interest. We use firm-level data to evaluate China's energy security from 2013 to 2022. The newly devised energy security index reveals temporal variability, particularly during extreme events.

Driving change: Understanding consumers' reasons influencing electric vehicle adoption from the lens of behavioural reasoning theory.

The present study attempts to explore consumer-centric reasons affecting the adoption of electric vehicles (EVs) are investigated using behavioural reasoning theory (BRT). Our study is among the first to examine consumer's EV adoption intention using BRT through the integration of the reasons "for and against" electric vehicle (EV) adoption. On data of 312 urban consumers, second order confirmatory factor analysis (CFA) revealed the existence of underlying reasons and SEM helped in testing the proposed relationships.

Green missing spots: Information entropy on greenhouse gas emission disclosure by Brazilian companies.

This study aims to address a critical gap in the literature by examining the incorporation of uncertainty in measuring carbon emissions using the greenhouse gas (GHG) Protocol methodology across all three scopes. By comprehensively considering the various dimensions of CO2 emissions within the context of organizational activities, our research contributes significantly to the existing body of knowledge. We address challenges such as data quality issues and a high prevalence of missing values by using information entropy, techniques for order preference by similarity to ideal solution (TOPSIS), and an artificial neural network (ANN) to analyze the contextual variables.

Impact of Climate Policy Uncertainty (CPU) and global Energy Uncertainty (EU) news on U.S. sectors: The moderating role of CPU on the EU and U.S. sectoral stock nexus.

This article accounts for the impact of positive and negative shocks of the news-related Climate Policy Uncertainty (CPU) and the novel Economist Intelligence Unit's report-based global Energy Uncertainty (EU) on the U.S. sectoral stock returns by using the ARDL and NARDL approaches with dynamic multiplier simulations.

Uncovering Bitcoin's electricity consumption relationships with volatility and price: Environmental Repercussions.

Bitcoin, a global financial asset, surpassed one trillion USD in November 2021, but its environmental impact may cause a 2 °C temperature rise by 2050. Using causal and connectedness analysis, we uncover non-linear relationships between bitcoin's energy consumption, price, and the Crypto Volatility Index. This study uses 1458 daily observations from several databases from March 31, 2019, to March 30, 2023.

Electric vehicles' choice behaviour: An emerging market scenario.

Worldwide, the adoption of electric automobiles is gaining momentum, owing to a steady rise in customers' sustainability consciousness. So far, electric vehicle-related studies have investigated consumer motives, attitudes, and intentions toward adoption. However, empirical research on enablers and inhibitors of electric vehicle choice behaviour has not been fully explored, particularly in an emerging market context, (e.

The impact of Chinese airport infrastructure on airline pollutant emissions: A hybrid stochastic-neural network approach based on utility functions.

With China being the world's largest emitter of greenhouse gases and its aviation sector burgeoning, the environmental performance of Chinese airlines has global significance. Amidst rising demands for eco-friendly practices from both customers and regulators, the interplay between airport infrastructure and environmental performance becomes pivotal. This research offers an innovative methodology to gauge the environmental performance of Chinese airlines, emphasizing the distance traveled between airports using weighted additive utility functions.

Sustainable consumption behaviour: Mediating role of pro-environment self-identity, attitude, and moderation role of environmental protection emotion.

This study aims to examine how these factors-egoistic and altruistic values and social consumption motivation-stimulus factors-influence sustainable consumption behaviour (response factor), the mediating role of pro-environmental self-identity and attitude (organism factor), and the moderating effect of environmental protection emotion. We used the stimulus organism response theory to gain a solid and holistic understanding of the concept. We collected 328 original surveys from Indian customers who recently purchased sustainable products via convenience and purposive sampling, and we analysed the data by using structural equation modelling.

Green bond vs. Islamic bond: Which one is more environmentally friendly?

This research investigates the dynamic dependence and causality relationship of the S&P Kensho Clean Energy (CE) and Cleantech (CT) indices with two green bond indices, including the S&P Green Bond Index (GB) and Green Bond Select (GBS) indices, and four Islamic bond indices, including A-, AA-, AAA-, and BBB-graded Sukuk Indices. In the long- and medium-term, the dependence of CE and CT on Sukuk and green bond indices strengthens under normal or bearish market conditions based on quantile cross-spectral (coherency). Overall, among all alternative financing instruments, AA- and A-rated Sukuk indices and GBS indices have higher coherency with CE and CT.

Customer integration in the supply chain: the role of market orientation and supply chain strategy in the age of digital revolution.

Ever increasing demand for customization and product diversity from the customers has made it important for firms to predict changes in the customer demand patterns and adopt accordingly. Customer integration allows firms to understand customers and respond to their particular needs in a better way. This study investigates the mechanisms through which customer integration is developed and affects supply chain performance.

Green factors stimulating the purchase intention of innovative luxury organic beauty products: Implications for sustainable development.

Orienting consumers toward organic eco-friendly beauty products is a societal challenge that resonates with growing environmental concerns following COP 21, when entrepreneurs in the cosmetic industry initiated ambitious plans to increase the proportion of natural components in their products. This study examines how green factors impact customers' intention to purchase premium organic beauty products. We explore the mediating roles of trust and attitude on this purchase intention, using the SOR paradigm and the dual factor theory, an original approach.