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.

This study analyzes seven bioeconomy sectors with the aim of establishing the leading contributing sectors to gross domestic product (GDP), and also determines the future relationship between bioeconomy and the national economy in Japan. We use data from World Input–Output Database (WIOD), International Renewable Energy Agency (IRENA), and the World Bank Group for this analysis. First, we use principal component analysis (PCA) techniques to identify the bioeconomy sectors that contribute significantly to the national economy. We find through the PCA that all the bioeconomy sectors that we analyzed contribute almost uniformly and significantly to the national economy. We also find forestry and wood sectors to be the most significant contributing bioeconomy sectors. We use the autoregressive distributed lag (ARDL) bounds test to prove the existence of short-run and long-run relationships between bioeconomy and gross domestic product (GDP). We finally use the vector error correction Granger causality model to establish a bicausality between bioeconomy and GDP in the long-run, but not in the short-run.

Introduction: The global pandemic disease known as the obesity epidemic has spread throughout the planet. Particularly, Africa is facing a growing problem of obesity, and the trend is rising. This is a result of a ticking time bomb. Given the claim that multiple socio-economic factors significantly affect the diversity in obesity rates between nations, economic development can be seen as a key contributor to this variation.Methods: Relying on the aforementioned avowal, this extant research examines the relationship between obesity and economic growth using urbanization, trade openness, and unemployment as intermittent variables within the Obesity Kuznets Curve (OKC) framework. Using panel data from 1990 to 2020, a panel of 38 African countries subdivided into income levels (Low income, Lower-middle income, and Upper-middle income) were analyzed. With the presence of residual cross-sectional reliance and slope heterogeneity, the Augmented Mean Group (AMG) econometric approach is employed.Results: Key outcomes from the mentioned estimation method unveiled that economic growth positively impacts obesity among all the study panels. Variably, unemployment was evidenced to have a palpable positive impact on obesity concerning Low-income economies whereas on the side of the Lower-middle income panel together with Upper-middle income economies and the aggregated panel, a significant negative relationship is observed with obesity. Further, urbanization enhanced obesity in the Low-income panel and the aggregated panel of African nations, whereas an adverse effect is identified in both the Lower-middle and Upper-middle economies in Africa. Moreover, except for Low-income African economies, all the other panels of African nations in terms of income levels were noted to have a significant negative effect on obesity from trade openness.Discussion: Finally, the long-run coefficients indicated that the OKC is valid among all panels of African countries. The study thus preferably suggests in African economies that addressing the inverted U-shape relationship between obesity and economic growth requires a multifaceted approach that considers the evolving dynamics of both factors. Policy makers should, therefore, aim to balance promoting economic growth and safeguarding public health through targeted interventions and long-term strategies.