Innovation, which leads to process changes and product development, tends to increase the sustenance of companies and helps firms to expand faster and more effectively, eventually more profitably than non-innovators. Innovation is commonly seen as a key source of sustainable competitive advantage in a changing environment. However, the success of the hospitality industry relies a lot on how well they gear their innovations towards preserving the natural and cultural attractions that make tourist/customers to visit their destinations. This study, therefore, is empirically designed to explore how innovation types, which include process, product, marketing, and organizational innovation, impact performance of hotel firms in Ghana. With top-level managers being our target respondents, 680 star rated hotels were purposely sampled from the hospitality industry, among which 550 hotel firms provided valid and accurate responses. Data obtained from the survey through the administration of a well-structured questionnaire was analyzed through SPSS statistical package. Through the estimation of series of regression models using the Hierarchical regression method of analysis, we witnessed that process, product, marketing, and organizational innovation employed as innovation types have palpable and statistically significant liaison with performance of hotel firms in Ghana. We, therefore, conclude that, for hotels to achieve high firm performance, personnel within the firm should be encouraged and empowered to develop innovative mentalities and abilities. In addition, hotel firms and the industry at large should be abreast of current trends of sustainability and endeavor to gear their innovation operations towards a more sustainability-oriented firm since incorporating sustainable innovative strategies into firms’ operations will not only create a good image and reduce cost but would also safeguard the natural attractions that guests patronize.

Climate change affects the world economy, environment, and human well-being, jeopardizing overall sustainability. The escalating impacts of climate change emphasize the necessity to assess the moderating influence of environmental policy stringency (EPS) on the association of energy transition (ET) and GHG emissions from 1990 to 2020 across 36 OECD countries. Further, this study incorporates the direct impact of energy transition (ET), environmental-related technology (ERTs), green innovation (INV), and Gross Domestic Product (GDP) on GHG emission. For this purpose, study employs an extensive range of econometric techniques, including DOLS, FMOLS, CCR, and MMQR approaches to evaluate data attributes. The findings of MMQR demonstrate that interaction of ET*EPS contributes to lower GHG emissions from −0.271% to −0.300% across all quantiles (20th to 80th). This indicates that the implementation of environmental policies fosters adoption of energy transitions to mitigate the negative effects of climate change, particularly to reduce GHG emissions. Further, environmental-related technologies (ERTs) and green innovation (INV) decrease GHG emissions by 0.15%–0.13% and 0.967%–2.049%, respectively, across all quantiles, thus encouraging environmental sustainability. The heterogeneous effect of ERTs is due to varying levels of adoption of environmental technologies in sample countries. The findings highlight the crucial need for integrating environmental policy strictness and energy transition measures to effectively mitigate GHG emissions. It highlights the significance of adaptive, responsive policies that are in line with SDGs 7 & 13, which concentrate on sustainable energy practices and integrated climate action in OECD economies.

Global economic policymakers are facing increasing demands from diverse environmental constituents to prioritize sustainable development through the implementation of strict environmental policies, energy transition strategies, and the reduction of fossil fuel consumption by fostering technological advancement. This study aims to assess the moderating role of environmental Policy Stringency (EPS), among Geopolitical Risks (GPR), Energy Transition (ET), Technological Innovation (INV), and environmental degradation (CO2 emission). This study relies on empirical datasets spanning the years 1990 to 2022 in 13 EU countries and employed an extensive range of econometric techniques., Dynamic Ordinary Least Square (DOLS), Fully modified Ordinary Least Square (FMOLS), Canonical Cointegration Regression (CCR), and Method of Moment Quantile Regression (MMQR) to examine the data. The empirical findings demonstrate that interaction of GPR*EPS, INV*EPS, and ET*EPS plays a crucial role in promoting environmental sustainability and lowering CO2 emissions. Whereas, environmental degradation is attributed to higher geopolitical instability and increased economic activities. Further, Quantile Regression (QR) and Feasible Generalized least square (FGLS) methods are employed to check the robustness empirical findings of the primary techniques. Based on our comprehensive empirical research findings, we can put forth constructive policy recommendations aimed at addressing environmental concerns and achievement of SDGs 7 & 13 in EU region.