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The current study aims to ascertain the association between tourism development, economic growth and environmental quality by using the short-run and long-run autoregressive distributive lag model.

Tourism development has a major role to play in improving a nation’s economic growth. However, it is also blamed for exacerbating environmental pollution because of its massive use of energy (non-renewable energy).

The major findings of this research show that renewable energy (RE) use and gross domestic product (GDP) negatively impact carbon dioxide (CO₂) emissions in South Africa. Tourism arrivals and CO₂ emissions negatively impact GDP, while capital positively impacts GDP in the long run.

This research recommends the use of RE, since it reduces carbon emissions, and capital, as it remains the major driver of economic growth.

The originality of the current research is that it uses long-period annual time series data from 1971 to 2019 of South Africa, one of the largest tourist nations in Africa. To the best of the authors’ knowledge, no studies have examined South Africa in this context and minimal research has been conducted to ascertain the impact of the tourism industry on the environment, despite the accusations directed toward it.

The purpose of this study is to verify all factors that promote renewable energy (RE) consumption. Past studies have shown that financial development (FD) and economic growth (EG) are the major drivers toward RE development, while oil prices had mixed outcomes in different regions by different studies.

Global warming effects have been the major reason of the transition by nations from fossil fuel use to RE sources that are considered as friendly to the environment. This research uses the fixed effects and random effects techniques, to ascertain the factors which impact RE development. The generalized linear model is also used to check the robustness of the Fixed Effects and Random Effects models’ results, while the Kao, Pedroni and Westerlund tests are used to check cointegration in the specified model.

The major findings of this study show the importance of EG and FD in promoting RE development. Oil prices, inflation rate and public sector credit present a negative effect on RE development, while foreign direct investment does not significantly impact RE development.

This research recommends the use of FD in promoting RE sources, as well as the stabilization of oil prices and consumer prices.

This research is important because it specifies the three proxies of FD, together with foreign direct investment inflation rate, EG and oil prices, in modeling RE. By investigating the impact of oil prices on RE in the emerging seven economies, this research becomes one of the few studies done in this region, as per the authors’ knowhow.

This study is carried out to investigate the effects of tourism expenditure, technological development and foreign direct investment on tourism development in the United States of America, a top international tourism destination in the world, from 1995 to 2021.

To this end we use the Autoregressive Distributive Lag method which captures short and long run effects. This method is also fundamental in presenting robust results when time series data with short time periods is used. The FMOLS and DOLS methods are used to ensure the robustness of the findings.

The results of the Autoregressive Distributive Lag indicate that spending on tourism contributes to the growth of the tourist industry in the country. The study reveals that economic growth has a detrimental impact on the development of tourism. Furthermore, carbon emissions are exclusively impeding the long-term progress of tourism development. The country's prioritization of economic growth has led to a rise in carbon emissions, disregarding the desire of tourists to experience a pollution-free and natural environment. Moreover, foreign direct investment exerts a beneficial impact on the advancement of tourism.

Although there has been numerous research on the factors that influence tourism, there is less documentation on the specific factors affecting tourism development. The research examines the effect of carbon emission of tourism development of United States, the World's top tourism destinations. Few studies have attempted to unlock this association in the United States; hence, the research originality.

Agrifood value chains in developing countries are transforming into higher value markets which require sustainable practices, with smallholders playing a critical role. However, smallholders are a heterogeneous group which may have discrepancies in outcomes to meet sustainability standards. This paper aims to empirically investigate smallholders' heterogeneity towards sustainable value chain practice in developing countries.

Eight key enabling factors of sustainable value chain transformation were used to explore smallholders' typology, then profiled, based on their socio-economic status and current practices. A quantitative method was applied in Indonesia's cashew sector with 159 respondents from the primary producer area on Madura Island. A combination of descriptive analysis, cluster analysis, cross-tab analysis and one-way ANOVA analysis was used in this study.

Four types of groups were identified, each with distinct characteristics and arranged in priority order as follows: accelerator, progressor, inattentive and conservative groups. Interventions can be implemented on per clusters basis or based on potential similarities among clusters, depending on priority. It is noted that the pursuit of sustainable value chain practices by smallholders is not necessarily associated with high socio-economic status, as those with low socio-economic status may have a stronger inclination towards them.

The paper enhances awareness of practitioners and policymakers regarding smallholders' heterogeneity in sustainable value chain practice. It enables more effective and focused interventions to support smallholders who require assistance in sustainable production and value-adding activities. Different smallholders' characteristics call for different assistance/intervention. Practitioners can recognise smallholders' characteristics that are more compatible with higher value markets and sustainability requirements to better integrate their practices. Policymakers must carefully develop short-term and long-term interventions based on the activities prioritised by particular traits to “hit the right button” for smallholders' practice development.

This study investigates the typology of smallholders towards sustainable value chain practices by using eight enabling factors and profiling them based on their socio-economic condition and current practices. Additionally, this study shifts the focus of typology exploration away from the traditional lens of farm sustainability to a larger perspective which encompasses sustainable value chain activities.

This paper examines the decline of the largest working parliamentary democracy in India overtime, but accelerating since 2014 as the Bharatiya Janata Party (BJP), under the leadership of Prime Minister Narendra Modi at the Center (as the federal government is commonly known).

It is eclectic. Original constitution, along with commentaries, are studied. News outlets, government pronouncements, journal articles, and other media outlets — electronic and print — are also sourced.

The findings show how three important features in democracy — elections and their outcomes, control of information, and suppression of dissent are widely used to undermine constitutional democracy.

Democracy can be undermined without altering the Constitution itself. It also explains the irony of Modi’s popularity, given the undemocratic practices. As he may continue in office for some time to come, commanding a log-rolling majority, the need of the hour is a united, constructive and effective opposition to ensure a healthy working democracy.

The study was aimed to compare the effect of three drying techniques viz., spray, freeze and hot air oven (HAO) drying on yield, nutritional parameters, minerals and physicochemical and morphological characterization of wild banana pulp (Musa balbisiana Colla).

Contents of carbohydrate was estimated by Anthrone reagent, protein by Kjeldahl, fat by Soxhlet, dietary fiber and ash by Association of Official Analytical Chemists (AOAC), minerals by Atomic Absorption Spectrophotometry, gross calorific value by Bomb calorimeter, moisture by moisture analyzer, water activity by water activity meter, morphological characterization by Scanning Electron Microscopy (SEM), statistical level of significance at p < 0.05 by ANOVA, predictive modeling by simple and multiple linear regression.

Freeze and HAO drying were standardized with matured (stage 2) and spray drying with ripe bananas (stage 6). Freeze drying showed highest yield (76.69 ± 0.15%), minerals viz., K (1175.67 ± 1.41), Fe (2.27 ± 0.09), Mg (120.33 ± 0.47), Mn (4.40 ± 0.28) mg/100 g, protein (7.53 ± 0.14%), lesser moisture (7.95 ± 0.01%), water activity (0.17 ± 0.02a_w), hygroscopicity (6.37 ± 1.09%), well dispersed particles by SEM. HAO drying exhibited highest dietary fiber (18.95 ± 0.24%), gross calorific value 357.17 kcal/100 gm, higher solubility (47.22 ± 0.86%). Spray drying showed highest carbohydrate (85.29 ± 0.01%), lowest yield (28.26 ± 0.32%), required 30.5% adjuncts.

Effect of three drying techniques and use of adjuncts were not uniform for ripe and matured bananas.

Commercial utilization of seeded wild banana.

Value addition of wild banana in Assam, India

Freeze drying of mature wild banana pulp (M. balbisiana) was found as best technique utilizing lesser energy.

Since the post-liberalization era, a noticeable structural change and transition in employment have unfolded within the Indian economy. Hence, the purpose of this paper is to understand employment transition and elucidate the evolving dynamics of rural economies and employment patterns from agriculture to more productive non-agricultural sectors. Additionally, the study investigates the underlying causes of socioeconomic disparities and their repercussions on employment trends.

To address the aforementioned issues, this study utilised secondary data from labour surveys conducted by the National Sample Survey Organisation spanning from 2004–05 to 2023. Initially, the study computed the magnitude of employment in both agriculture and non-agriculture sectors. Subsequently, the distribution of non-agricultural labour across various socioeconomic characteristics was estimated. Furthermore, a logistic regression model was employed to evaluate the impact of socioeconomic factors on employment choices. Finally, Fairlie’s decomposition model was applied to elucidate workers’ decisions to engage in non-agricultural sectors.

The study reveals a significant rise in rural non-agricultural employment, from 98.4 m in 2004–05 to 193.3 m in 2023, indicating changing job preferences. Notably, the construction and trade sectors emerge as significant drivers of this trend. However, self-employment and casual labour persist, highlighting job vulnerability. Additionally, women and marginalised individuals with low levels of education and socioeconomic status lag behind in non-agricultural employment.

This study makes a significant contribution by offering a thorough analysis of the employment transition from agriculture to non-agriculture over a span of two decades. It provides valuable insights into the evolving dynamics of employment trends.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2023-0904.

This study aims to identify different antecedents and reveal divergent moderating effects of horizontal collectivism, thereby unlocking the asymmetric mechanisms for employees’ brand citizenship behavior (BCB) and negative word-of-mouth (NWOM).

This study uses a survey data set and analyzes it with structural equation modeling along with common latent factor analysis designed to control for common method variance.

BCB is associated with pride at work but not perceived organizational support (POS), so POS drives BCB not directly but indirectly through the emotion of pride at work. In contrast, employees’ NWOM is associated with both POS and frustration, and POS drives NWOM directly and indirectly through the emotion of frustration. Horizontal collectivism has divergent moderating effects that strengthen the relationships of BCB with POS and pride at work and weaken the relationship between employees’ NWOM and frustration.

This study makes two major theoretical contributions to internal branding. First, as a response to the need for an investigation into drivers of employees’ brand-oriented behaviors, it will identify different psychological antecedents and mechanisms for BCB and employees’ NWOM. Second, capturing the potential of horizontal collectivism on employees’ brand-oriented behaviors, this study will reveal the potential divergent moderating effects of horizontal collectivism on BCB and employees’ NWOM. These two contributions will lead to a better understanding of the different mechanisms for employees’ BCB and NWOM.