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Green innovation is essential in achieving sustainable development goals of enhancing resource efficiency, reducing environmental impact, and promoting renewable resource consumption. Identifying the factors that promote green innovation is necessary to capitalise on the benefits of green innovation. The literature has overlooked the economic and geopolitical factors influencing sustainable technological development. Limited studies have analysed the multifaced drivers of green innovations. Therefore, this study fills the gap by exploring the impact of geopolitical risk, economic complexity, and R&D expenditures on green innovation in China from 1995 to 2022. The study employed the "bootstrapping autoregressive distributed lag" (BARDL) method and examined the long-term cointegration. Diagnostic tests confirm that the data series are normally distributed, and unit root tests establish an integration order of I(1). Outcomes of the BARDL approach indicate that increases in economic complexity, R&D expenditures and economic growth significantly enhance the green innovation initiatives. Conversely, rising geopolitical risk deters steady investment in green innovation in the short and long run. The results highlight that while economic complexity and R&D expenditures have greater capabilities and resources to support innovative activities, geopolitical risk acts as a mitigator and diverts focus and resources away from long-term environmental sustainability projects; therefore, effective policy measures focusing on these variables can increase investments in green innovations. [ABSTRACT FROM AUTHOR]

The crucial role of environmental assessment quality has been recognised by environmental and sustainable development goals in addressing climate change challenges. By focusing on the key identifier of environmental assessment, progress can be made towards overcoming climate change issues effectively. The current study considers environmental commitments under COP28 to study the role of economic complexity, greenfield investments, and energy innovation in environmental degradation in newly industrialised economies from 1995 to 2021. We employ novel panel estimations from CS-ARDL, CS-DL, AMG, and CCEMG to confirm that economic growth and greenfield investments degrade environmental quality. On the other hand, energy innovation and urbanisation improve environmental sustainability. Lastly, we confirm the EKC hypothesis for economic complexity as well. Given the reported empirical findings, the study suggests policymakers must focus on economic complexity to transform industrial sectors' economic potential. Furthermore, foreign investment projects must be linked with environmental goals to increase renewable energy capacity. [ABSTRACT FROM AUTHOR]

Using the Morlet Wavelet approach and other time‐frequency decomposition techniques, this study investigates the dynamic relationship between energy prices, economic growth, and ecological footprint in Malaysia from 1975 to 2021. Our analysis reveals several key findings. Firstly, despite the absence of oil price volatility, the size of Malaysia's ecological footprint varies significantly over the study period. Secondly, energy prices contribute significantly to the ecological footprint. Thirdly, the association between energy prices and ecological footprint is stronger during periods of economic growth. Lastly, energy prices contribute to economic growth and inflation in the short run, but after factoring in the ecological footprint, the association extends into the long run. These findings suggest that Malaysia's economic growth is driven not only by energy prices but also by its ecological footprint. Moreover, the size of Malaysia's ecological footprint is driven by factors at the microeconomic level rather than energy prices alone. Therefore, the impact of energy prices on the macroeconomy, especially when considering the impact on the environment, is non‐linear. [ABSTRACT FROM AUTHOR]

Given the significance of fostering sustainable climate conditions for long-term economic stability and financial resilience, this study probes the connection between climate-related policy ambiguity and its implications for currency valuation. In doing so, the current study investigates the interconnected effects of climate policy on economic policy uncertainty and geopolitical risk with the currency valuation in ASEAN countries. Employing wavelet coherence analysis and partial wavelet coherence analysis, the paper highlights the complex relationships among these factors and their implications for exchange rate fluctuations. Using data from 2000 to 2022, the findings reveal that climate policy uncertainty is an important driver of exchange rate movements, amplifying the impact of economic policy uncertainty and geopolitical risk. Furthermore, the study identifies a vicious cycle between climate policy uncertainty and exchange rates, potentially impacting the region's macroeconomic stability and long-term economic growth. The study presents several policy recommendations to address economic and climate policy uncertainties comprehensively based on the findings. These recommendations include establishing national frameworks for climate risk management, enhancing policy credibility and macroeconomic stability, and promoting regional integration to mitigate the influence of geopolitical risk on exchange rates. [ABSTRACT FROM AUTHOR]

Environmental sustainability and energy transition, especially the renewable energy transition, have become critical concerns of nations throughout the world in recent decades. The sustainable and eco‐friendly technologies have led to more sustainable methodologies, substantial stewardship of our natural resources, and the conversion to renewable energy sources, all of which have been demonstrated to benefit the environment significantly. However, prior studies have overlooked the ecological sustainability and energy transition effects of green technology innovation. Therefore, this study endeavored to investigate the role of green innovation (lnGRN) and financial globalization (lnFIG) on the sustainability of the environment (lnEFT) and energy transition (lnENT) in the United Kingdom using quarterly data for the period from 1995 to 2020. The study applied the time‐varying (bootstrapping) rolling window technique, which can retrieve casual associations among variables at different periods of sub‐samples. Besides this, the method is advantageous for addressing the non‐consistency of parameters and eliminating the pre‐test distortion. The novel Bootstrap Rolling‐Window full‐sample causality technique results demonstrate that lnGRN and lnFIG have unidirectional causality toward lnEFT and lnENT. Furthermore, the bootstrap rolling‐window subsamples in the final stage indicate that lnGRN and lnFIG mitigate lnEFT, whereas lnGRN and lnGDP enhance energy transition. On the other hand, lnGDP and lnETX contribute to environmental deterioration, while lnFIG hinders the energy transition. Several important policy implications are derived from the results to encourage financial globalization, green innovation technologies, renewable energy resources consumption, and environmental taxes. [ABSTRACT FROM AUTHOR]

The ongoing climate changes have put forth various challenges for each industry to achieve their sustainable environmental goals, in an orderly manner. Like the other extensively growing industries, China's Film and Drama industries are responsible for contributing effectively toward a sustainable environment. In order to validate the same, this study has applied the Nonlinear Autoregressive Distributed Lag (NARDL) technique, so as to identify the asymmetric association among the Film and Drama Industry, green innovation, and sustainable environment. The quarterly time-series data of the variables is assessed from January 2000 to December 2019. The outcomes of the study have revealed that the appreciation in the Film and Drama stock prices tends to increase the CO2 emissions. Whereas, the depreciation of the Film and Drama stock prices improves the efforts towards a sustainable environment. On the other hand, the increase in green innovation tends to have an adverse impact on environmental degradation, while the decline in green innovation tends to increase the carbon emissions. In order to handle the grievous problem of environmental degradation, caused by the Film and Drama industry of China, this study suggests that adopting green practices in Film and Drama making, such as green filming, the use of hybrid vehicles, LED lights, and solar generator supplies, and perhaps Computer-Generated Imagery sets will ultimately contribute towards the improvement of the quality of the environment. [ABSTRACT FROM AUTHOR]

The tourism industry carries great significance in the economic development of any country. It has been observed that the COVID-19 crisis has affected global travel and tourism more than any other sector globally as well as in China. The travel restrictions, home isolation, and quarantine orders have given massive damage to China's once thriving tourism industry. Despite this phenomenal impact, the existing literature has a dearth of empirical studies related to the impact of the COVID-19 pandemic on the tourism industry. This study attempts to reflect a thorough picture of the current scenario and the crisis effects under different intensities reflected through quantiles of Covid-19 related deaths. The study has utilized the QARDL model and the Wald test on the daily time series data of COVID-19 intensity, the real effective exchange rate, oil prices, and the tourism development index from January 1, 2020, to March 15, 2021. The outcomes indicate that COVID-19 related deaths have a negative, but significant impact on China's tourism in the long run and short run. The oil prices also show a negative influence on tourism in the long run, but there is no significant impact of the oil prices on tourism in the short run. At the same time, the increase in the real effective exchange rates tends to support tourism in the long run, but does not influence tourism development in the short run. [ABSTRACT FROM AUTHOR]

Air transportation has a deep impact on environmental degradation due to the higher fossil fuel consumption. On the other hand, this industry also embraces the highest innovation that may alter its environmental consequences. However, there is a dearth of empirical evidence that explores the impact of air transportation and eco-innovation on environmental quality. Therefore, this study is a pioneering attempt to examine the role of air-transportation and eco-innovation in reducing environmental degradation in G7 countries using annual data from 1990 to 2019. In doing so, we employed various advance econometric approaches to handle issues arises from panel data such as Pesaran (2007) and Bai and Carrion-I-Silvestre (2009) used to examine the presence of unit root, cross-sectional dependency checked through Pesaran (2015) test, and for parameters heterogeneity through Pesaran and Yamagata (2008). Moreover, the Westerlund and Edgerton (2008) test and Cross Sectional Augmented ARDL were employed to analyse the long run and short run association among variables. The overall results show that air transportation and eco-innovation play an important role in abating environmental deterioration. Air transportation is negatively correlated with carbon emission and PM2.5 exposure (air quality) due to the improved technical structure of aircraft engines and the use of mixed ration or alternative aviation fuels. These results provide valuable suggestions for all stakeholders. [ABSTRACT FROM AUTHOR]

COVID-19 epidemic has brought uncertainty to each sector of the global economy, including the financial sector. The widely spread disease has a drastic effect, which massively created health and financial crisis and virtually pushed the economy to the brink of recession. The study focused on the financial development of China during the COVID-19 pandemic and analyzed the long-term and short-term impact of COVID-19, oil prices, gold prices, and global economic policy uncertainty on the financial development of the country. The QARDL model, Wald test, and Granger causality tests are employed to assess the daily data of variables from January 1, 2020, to March 15, 2021. The study's empirical results revealed that an increase in the number of COVID-19 registered patients has an unprecedented negative effect on financial development, whereas the oil prices co-moved with the financial performance. On the other hand, gold prices and global economic policy uncertainty are negatively correlated with financial development. This study offers various policy recommendations to help the investors, government, and decision-makers to make better decisions for the improvement of the financial development of China. [ABSTRACT FROM AUTHOR]

Environmental, social, and governance (ESG) pillars help determine the business organizations' sustainable business practices. Considering the same, this research examines the association between firm characteristics, governance mechanisms, and ESG for a sample of 564 firms from fifteen developed economies. For empirical analysis, ordinary least square, fixed effect, and random effect estimations techniques were applied using annual data from 2010 to 2019. The overall findings reveal that the governance structure of firms (board size, board independence, and cross-listing) play a significant role in ESG disclosure. Moreover, low corruption perception reflects higher ESG disclosure among the targeted firms. Additionally, firm characteristics; such as liquidity position shows a better reporting of ESG during the study period. When accounting for the ESG disclosure individually, the findings confirm the productive role of board size, current ratio, and low corruption towards environmental exposure. Lastly, the results demonstrate that board size and ESG disclosure promote better financial performance. These results offer valuable policy recommendations. [ABSTRACT FROM AUTHOR]