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This paper constructs a unique dataset of clean energy and collects firm-level green innovation data that matches it with provinces and cities. Then, this paper executes quasi-natural experiments on green innovation to examine the effects of China's emission trading policy on green innovation. Further, this paper introduces the interactive terms of the pilot time and pilot area dummy variables into the spatial Durbin model (SDM) and spatial dynamic panel model (SDPM) to construct quasi-natural experiments to examine the spatial effect. The findings confirm a negative association between the 'policy treatment effect' and green innovation. The results also indicate a significant negative association between the emissions trading policy and clean energy. Besides, the empirical results reveal a positive correlation between clean energy and green innovation; clean energy promotes green innovation in the region and the surrounding areas. This paper complements existing research and provides empirical evidence and policy implications for developing clean energy, promoting green innovation, and improving the emission trading policy. [ABSTRACT FROM AUTHOR]

This study seeks to investigate how natural resources rents impact environmental sustainability measured by CO2 emissions and PM2.5 air pollution in Brazil, Russia, India, China, and South Africa (BRICS) economies from 1995 to 2019. To enhance robust policy implications, natural resources are decomposed into disaggregated (coal, gas, oil, forest, and mineral rents) and aggregated (total natural resources rents) indicators. Besides, the intervening roles of affluence, urbanization, and green policies vectoring green technological innovation, green finance, green energy, and waste management within the theoretical underpinning of STIRPAT model are considered. The empirical verification is anchored on second-generation estimators entailing Common Correlated Effects Mean Group, Augmented Mean Group, and Panel Quantile Regression. Similarly, Fully Modified OLS is employed to gauge the country-specific effects amidst varying robustness analyses. The fallouts from the analyses reveal that natural resources rents inhibit the attainments of environmental sustainability in BRICS economies by positively driving CO2 emissions and PM2.5 air pollution. Conversely, green policies are observed to substantially drive environmental sustainability by mitigating both pollutants whereas affluence and urbanization escalate them. The distributional effects from Panel Quantile Regression and Fully Modified OLS corroborate the main findings divergently. Additionally, two channels of causality, including unidirectional and bidirectional nexuses, are apparent from the estimated models. Policy measures are suggested based on the empirical findings. [ABSTRACT FROM AUTHOR]

This article articulates the historical entanglement of Ireland's big tech ecosystem with earlier forms of economic development and state-sanctioned polluting practices, particularly focusing on strategies for attracting multinational companies since the 1960s. The outsourcing of polluting multinational industries to Ireland's rural regions has a long history, one tied into fault-lines of the country's postcolonial condition and developmental economy in the 1970s and 1980s. During this era of economic liberalisation, Ireland's environmental politics were frequently organised against the outsourcing of toxic chemical, pharmaceutical, and technological industries to rural Ireland. Ireland's position as a western European nation-state undoubtedly means that wealth accumulated via these industries merits complicity in the global supply chains sustaining "green" extractivism in the Global South. But rural Ireland also bears an uneven share of responsibility for these industries, whose destructive externalities are often imposed on these places through large-scale infrastructures. Historical struggles for environmental justice in these rural sites foreground access to land, livelihoods, health, and cultures of place. Contributing to recent debates on the colonial endurances of contemporary "green" development, we argue that these rural movements should be a starting point for a "just" transition attuned to anti-imperialist goals in Ireland. [ABSTRACT FROM AUTHOR]

Environmental policy advocates are increasingly proposing 'bundled' clean energy policies to combat climate change while also creating jobs and transforming the economy. While such strategies may broaden the appeal of climate policies, these broad constituencies create challenges for policy communicators – how do messages about different aspects of the policy, coming from different messenger groups, influence public support for clean energy policies? This study uses a modified conjoint survey experiment (n = 2145) to test how the interaction between message frames (addressing climate change vs. creating jobs) and sources (business, environmental, or labor groups) influenced policy support for clean energy policies. Results show that job creation frames from business or environmental groups were most effective. We find evidence that certain message/source combinations work across partisanship divides: messages that were effective for one partisan group did not backfire – and often also increased policy support – when presented to the other group. [ABSTRACT FROM AUTHOR]

This study discusses important aspects of policy modeling based on a leader-follower game of policymakers. We specifically investigate non-cooperation between policymakers and the jurisdictional scope of regulation via bi-level programming. Performance-based environmental policy under the Clean Power Plan in the United States is chosen for our analysis. We argue that the cooperation of policymakers is welfare enhancing. Somewhat counterintuitively, full coordination among policymakers renders performance-based environmental policy redundant. We also find that distinct state-by-state regulation yields higher social welfare than broader regional regulation. This is because power producers can participate in a single power market even under state-by-state environmental regulation and arbitrage away the CO2 price differences by adjusting their generation across states. Numerical examples implemented for a stylized test network illustrate the theoretical findings. [ABSTRACT FROM AUTHOR]