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The purpose of this paper is to identify the lifestyle determinants motivating wine consumption and the amount spent on it, as sales and profits depend largely on a sound knowledge of them.

Data were gathered by means of a postal paper‐and‐pencil survey sent out to randomly chosen addresses from the telephone book covering the German‐speaking part of Switzerland, resulting in a final sample size of 874.

Lifestyle determinants proved successful in explaining a great deal of the variance in the data. For wine consumption, knowledge about wine, drinking wine to relax, and sociability were the strongest determinants; for spending on wine, they were looking for bargains, visiting wine events, and regarding wine as a healthy beverage.

The research was limited by being conducted for a specific geographic area, using explorative methodology.

The identified determinants are of practical use to wine marketers, who can use them to target potentially profitable consumers. They can also create marketing campaigns focused directly on a specific determinant and thus increase consumption, spending or both.

To the best of the authors' knowledge, this is the first study to analyze a broad range of lifestyle variables to predict wine consumption and spending on wine.

This study aims to investigate the influence of sociodemographic characteristics, perceived risks, health and nutritional motives and taste preference on at-home fish consumption.

Data were collected from a nationally representative sample of people responsible for food purchasing in households, using the CAWI (computer-aided web interviewing) method. The eligible study sample comprised 977 participants in Croatia and 967 in Italy, who reported fishery products consumption in the previous 12 months. A questionnaire was used to examine sociodemographic characteristics, fish consumption frequency and factors affecting fish consumption. Determinants of white and fatty fish consumption were estimated with ordered probit models, along with marginal effects for each factor in the models.

Common positive determinants of white and fatty fish consumption in Croatia and Italy were health and nutritional motives (p < 0.001, p = 0.001, p < 0.001, p = 0.010), taste preference (p < 0.001, p < 0.001, p = 0.001, p = 0.001) and maritime nature of the living region. The common negative determinant of white and fatty fish consumption in Croatia and Italy was financial risk (p < 0.001, p < 0.001, p < 0.001, p = 0.005). The country-specific positive determinant in Croatia was the number of household members (p < 0.001), while negative determinants for white and fatty fish were functional risk (p = 0.004, p = 0.013), number of children (p = 0.030, p = 0.001) and female gender (for fatty fish) (p = 0.028). In Italy, older age negatively affected (p < 0.001) fish consumption, while number of children (p = 0.009) and household income positively affected white fish consumption.

An adequate probabilistic model of national representative samples ensures credibility of results. Policy and marketing activities are proposed that can encourage higher fish consumption.

The purpose of this paper is to explore the developments in final electricity consumption, estimate the portions of changes that can be attributed to national, sectoral or regional factors, and to investigate determinants of the regional component (RC) in Croatia at the subnational level in the period 2001-2013.

In the first stage, the dynamic shift-share method is used to decompose final electricity consumption, and then, in the second stage, the panel population-averaged logit model is conducted to find the main determinants of the extracted RC.

The results show that both the sectoral factor and the regional factor are responsible for an increase in electricity consumption over the period considered, whereby the regional specificities had a larger impact in general. Thereby, the most developed regions, including the tourism-oriented ones, exhibited the largest average increase in electricity consumption mainly due to positive effects of the regional-specific factors, while the negative effects of these factors were mainly responsible for low average rates of changes in electricity consumption in less developed regions.

The results suggest that regional-specific energy conservation programs might be more effective in improving energy efficiency than the sector-oriented ones, as well as that socio-economic and contextual determinants matter when it comes to the probability of having a positive regional effect on the electricity consumption rate.

The paper investigated the determinants of the extracted RC which has not yet been addressed in the energy economics literature.

Given the increasing importance of engineering insurance, it is still unclear which specific factors can enhance the role of engineering insurance as a risk transfer tool. This study aims to propose a hybrid approach to identify and analyze the key determinants influencing the consumption of engineering insurance in mainland China.

The empirical analysis utilizes provincial data from mainland China from 2008 to 2019. The research framework is a novel amalgamation of the generalized method of moments (GMM) model, the quantile regression (QR) technique and the random forest (RF) algorithm. This innovative hybrid approach provides a comprehensive exploration of the driving factors while also allowing for an examination across different quantiles of insurance consumption.

The study identifies several driving factors that significantly impact engineering insurance consumption. Income, financial development, inflation, price, risk aversion, market structure and the social security system have a positive and significant influence on engineering insurance consumption. However, urbanization exhibits a negative and significant effect on the consumption of engineering insurance. QR techniques reveal variations in the effects of these driving factors across different levels of engineering insurance consumption.

This study extends the research on insurance consumption to the domain of the engineering business, making theoretical and practical contributions. The findings enrich the knowledge of insurance consumption by identifying the driving factors specific to engineering insurance for the first time. The research framework provides a novel and useful tool for examining the determinants of insurance consumption. Furthermore, the study offers insights into the engineering insurance market and its implications for policymakers and market participants.

The purpose of this study is to investigate the determinants of halal meat consumption within a Muslim migration population using the theory of planned behaviour as a conceptual framework. The role of self‐identity as a Muslim and dietary acculturation in the host culture is explored.

Cross‐sectional data were collected through a survey with 576 Muslims mainly originating from North Africa and currently living in France. Data were analysed by means of independent samples' t‐tests, correlations and stepwise multiple regression.

A positive personal attitude towards the consumption of halal meat, the influence of peers and the perceived control over consuming halal meat predict the intention to eat halal meat among Muslims.

Limitations include the use of a convenience sample and the focus on only two individual characteristics related to religious food consumption, namely self‐identity and dietary acculturation. Additional individual characteristics such as trust, values or involvement could improve the predictive power of the model.

Practical implications extend to food policy decision‐makers and food marketers who might pursue identity – and/or acculturation‐related strategies in their distribution and communication efforts targeted at the growing halal food market segment in Western Europe.

This study is one of the first studies investigating the determinants of halal meat consumption in general and a first application of the theory of planned behaviour within a food, religion and migration context, i.e. halal meat consumption decisions in a Muslim migration population in France. In general, this study indicates that the predictive power of the classic TPB in this very specific context is limited.

Projects that personality is an important determinant of consumption of beer and cider along with age, sex and social class. Identifies an extensive programme of personality research in this study, and goes on to complete a study of 18‐21 year old males to test predictions, based on Eysenck's theory and this is based in England and compared to most other countries with regard to nationalism and cultures. Concludes that the highest consuming group is 18‐24 year olds, which has a per capita consumption 2.7 times higher than the lowest group ‐ the over‐50's. Suggests that the results herein show the study of personality is likely to be of great importance in understanding individual differences in patterns of drinks market consumption.

By disentangling the impact of positive and negative shocks of GDP, FDI and oil consumption on electricity consumption, the purpose of this paper is to investigate whether this bifurcation significantly determines the level of electricity consumption in the short run and long run.

Using the recently developed nonlinear autoregressive distributed lag (NARDL) bounds approach, the study investigates the changes in the level of electricity consumption over a period of 1980–2015. The inclusion of a dummy variable for the possible structural break makes the electricity demand function more reliable. After checking the stationarity of data series, the study has employed the bounds test, which confirms the existence of the long run stability in the system. Further, using the VECM, the causality among the comprised variables has also been examined.

The findings confirm that not only the positive shocks but also the negative shocks in GDP have a positive and significant impact on electricity consumption in the long run. Similarly, the increased FDI has widened the scope of electricity consumption in the region, whereas the negative shocks’ impact is found negative in the long run. In comparison to GDP and FDI, the influence of the increased oil consumption on electricity demand is found negative and significant in India, which reveals that electricity acts as a significant substitute for oil consumption in the long run.

To the best of the literature evidences available, none of the studies in the past has examined electricity demand in an NARDL framework. The study may help in estimating the demand for electricity consumption comprehensively, as this approach captures the separate influence of favourable and unfavourable changes while determining the level of electricity consumption. This approach may be crucial for policy makers, especially in an energy importer country, such as India.

The Indian power sector is dominated by coal. Environmental awareness and advances in techno-economic front have led to a slow but steady shift towards greener alternatives. The distributions of both fossil fuel resources and renewable energy potential are not uniform across the states. Paper attempts to answer how the states are performing in the sector and how the renewable energy and conventional resources are affecting the dynamics.

The authors employ a two-stage data envelopment analysis (DEA) to rank the performance of Indian states in the power sector. Multi-stage analysis opens up the DEA black-box through disaggregating power sector in two logical sub-sectors. The performance is evaluated from the point-of-view of policy formulating and implementing agencies. Further, an econometric analysis using seemingly unrelated regression equations (SURE) is conducted to estimate the determinants of total and industrial per-capita electricity consumption.

Efficiency scores obtained from the first phase of analysis happens to be a significant explanatory variable for power consumption. The growth in electricity consumption, which is necessary for economic wellbeing, is positively affected by both renewable and non-renewable sources; but conventional sources have a larger impact on per-capita consumption. Yet, the share of renewables in the energy mix has positive elasticity. Hence, the findings are encouraging, because development in storage technologies, falling costs and policy interventions are poised to give further impetus to renewable sources.

The study is one of the very few where entire spectrum of the Indian power sector is evaluated from efficiency perspective. Further, the second phase analysis gives additional relevant insights on the sector.

The purpose of this study is to investigate the potential determinants of sustainable consumption behavior. This study describes lifestyle of health and sustainability (LOHAS) tendency and the effects of such lifestyles on the behavioral intentions for sustainable consumption in sharing economy.

This research adapts LOHAS tendency, consumer attitude, subjective norm, perceived behavioral control and consumers' behavioral intention for sustainable consumption scale in Indian context to describe the sustainable consumption behavior by extending the theory of planned behavior (TPB). Data of 627 individuals collected through a questionnaire, after the scales validation process and thereafter a structural equation analysis has been performed.

The findings confirm the extended TPB, wherein LOHAS tendency has emerged as an antecedent to consumer attitudes for taking part in sustainable consumption. Results highlight that consumer attitudes, subjective norms and perceived behavioral control are significant determining factors of consumers' sustainable consumption behavior.

This study has examined the sustainable consumption behavior by considering the lifestyle tendency. A few other limitations are also discussed.

Consumer behavior in sharing economy is surely one of the emerging research areas; there is dearth of research to understand Indian consumers' sustainable consumption, particularly from lifestyle perspective. This research establishes relationship between LOHAS tendency and sustainable consumption, which may serve as a contributor to sharing economy in terms of LOHAS consumer's lifestyle and their sustainable consumption behavior.

The purpose of this paper is to determine consumer characteristics, buying behaviour, and the factors that influence the Chinese wine consumer.

The study applies qualitative and quantitative methodology, together with a literature review and a strategic environmental scan of the Chinese wine market and consumer behavior.

Consumer education, wine‐related activities, channels of communication, taste, country of origin, quality, and price rank are found to be important factors influencing the buying and consumption behavior of Chinese consumers.

Results suggest that there is a need for stakeholders to develop and implement informational and educational marketing strategies to educate and inform consumers in ways that reflect their needs and expectations according to demographic characteristics.

The challenge for the stakeholders will be to: penetrate this emerging market to establish presence and capture market share; strive for long‐term growth and profit sustainability; create competitive advantage through core competencies; promote and sell quality products applying the principles of yield management “to charge the right price, to the ideal consumer, at the right time, in the right place”; and build brand loyalty.

The paper offers useful findings for stakeholders in the wine supply chain. Special attention should be given to the alcoholic beverage retailer and hospitality operators for whom wine revenue is the core of aggregate beverage revenue.

The paper contributes to the body of knowledge of consumer behavior in relation to wine consumption in an emerging market. The results benefit players in the wine supply chain; especially retail and hospitality operations.