Search results

Distancing people socially as a precautionary measure against the mushrooming of COVID-19’s health and economic crisis has deleteriously affected the performance of the eatery industry to a great extent. Many food outlets failed to cope up with crisis and opted to move out, and many still vie to survive through pandemic. It becomes vital for researchers to understand what factors influence the performance and survival of eateries during the pandemic? The study makes an attempt to fabricate new factors which affect the performance and contribute significantly towards the survival of eateries in this new COVID-19-prone world.

The present study is a cross-sectional analysis with the sample of 150 eateries from the walled city of Punjab (India), i.e. Amritsar. Factor analysis is employed to scrutinise the factors which influence the performance of eateries during the pandemic, and to analyse factors which contribute significantly for the survival of eateries, logistic regression is performed.

The empirical analysis reveals that at prior psychological factor, followed by turnover factor, external factor, financial factor and marketing factor influence the performance of eateries during the pandemic. Only three factors, namely turnover factor, external factor and financial factor, turned up to be significant towards the survival rate of an eatery. The marketing factor which is a crucial contributor for survival of business in literature has turned out to be insignificant during the times of pandemic.

With the arrival of pandemic, the preference of people has changed, and the business environment in which entities operate has turned more complex. The present study is one of the pioneer attempts to evaluate whether the factors responsible for performance or survival of an eatery during normal times is relevant during the pandemic as well. The study contributes to the literature of eatery industry by adding a new variable namely psychological factor, i.e. changes witnessed in customers’ preference to visit an eatery.

The growth of the Indian economy is accompanied by the rising trend of energy utilisation and its devastating effect on the environment. It is vital to understand the nexus between energy utilisation, climate and environment degradation and growth to devise a constructive policy framework for achieving the goal of sustainable growth. This study aims to analyse the long- and short-run association and direction of association between energy utilisation, carbon emission and growth of the Indian economy in the presence of structural break.

The study probes the association and direction of association between variables at both aggregate (total energy utilisation, total carbon emission and gross domestic product [GDP]) and disaggregates level (coal utilisation and coal emission, oil utilisation and oil emission, natural gas utilisation and natural gas emission along with GDP) over the time period of 50 years, i.e. 1971–2020. Autoregressive distributed lag model is used to examine the association between the variables and presence of structural break is confirmed with the help of Zivot–Andrews unit root test. To check the direction of association, vector error correction model Granger causality is performed.

Aggregate carbon emissions are affected positively by aggregate energy consumption and GDP in both short and long run. Bidirectional causality exists between total emissions and GDP, whereas a unidirectional causality runs from energy consumption towards carbon emission and GDP in the long run. At disaggregate level, consumption of coal energy impacts positively, whereas GDP influences coal emission negatively in the long run only. Furthermore, consumption of oil and GDP influences oil emissions positively in the long run. Lastly, natural gas is the energy source that has the fewest emissions in both short and long run.

There is a rapidly growing body of research on the connections and cause-and-effect relationships between energy use, economic growth and carbon emissions, but it has not conclusively proved how important the presence of structural breaks or changes within the economy is in shaping the outcomes of the aforementioned variables, especially when focusing on the Indian economy. By including the impact of structural break on the association between energy use, carbon emission and growth, where energy use and carbon emission are evaluated at both aggregate and disaggregate level, the current study aims to fill this gap in Indian literature.

The present study is an intra-industry analysis, which aims to investigate whether the impact of COVID-19 on employment level, clientele rate, liquidity constraints and sustainability aspect of different food outlets is symmetric or asymmetric in nature.

With the help of well-structured questionnaire, the study has surveyed 80 food outlets in total by interviewing the managers and owners of these outlets. Food outlets have been classified into four categories namely international, national, local and street food outlets. Econometric techniques like MANOVA and Garret ranking have been employed to fulfil the objective of the study.

The results depict that the impact of COVID-19 on employment level and liquidity constraints is significantly asymmetric amongst different groups of food outlets, even though the decline in extent of clientele is somewhat same for all groups. The survival aspect of outlets also witnesses clear-cut asymmetry in results as big outlets have greater potential to survive for longer if lockdown happens again when compared to street food outlets as their financial availability and stability differ.

The sample size of study is restricted, mainly due to lesser number of national franchise's food outlets available in Amritsar, though other categories of eateries were sufficient in number. Further, the study is restricted only to one district of Punjab state, whereas for future research, inter-district comparison can be done.

The findings reveal that the street food outlets may gain by fostering its online functioning. Similarly national food outlets are encouraged to alter their business strategies to revive their sales against their competitors.

This study is one of the explorer studies to analyse the impact of COVID-19 by making an intra-industry comparison for the eatery industry – considering four different categories of eateries. The classification of eateries helps in analysing whether the employment level, clientele rate, liquidity constraints and survival perspective have been affected symmetrically for the whole eateries industry or does severity of being affected differ asymmetrically. The study makes a contribution by adding a new string of dimension to the existing load of literature in the domain of hospitality.