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This study aims to analyze the relationship between the alcohol brewing industry and the macroeconomic variables of the emerging market of Asia.

The study uses secondary data for the period of 32 years and applies the autoregressive distributed lag-error correction method (ARDL-ECM) approach to understand short- and long-run dynamics in the alcohol industry by considering macroeconomic variables.

The findings of the study confirm the existence of a long-run relationship between the alcohol brewing industry and the macroeconomic variables considered for this study.

The authors present a few limitations of this study. First, this study uses secondary data originating from one of the emerging markets of Asia. Second, the study is solely conducted from an economic perspective rather than from a social or health perspective. Finally, the study considers the data originating from the organized sector of the alcohol industry of India.

The study will be helpful to the researchers in guiding the future course of research in the area of the alcohol industry. This study can be helpful to the policymakers in framing the National Alcohol and taxation Policy. This study also helps both the producers and exporters to strategize sustainable production and trade of alcoholic beverages.

To the best of the authors’ knowledge, this study is the first of its kind to analyze the alcohol industry from the macroeconomic perspective through the ARDL-ECM approach.

An increasing non-drinker population is developing, but much research focusses on alcohol misuse, rather than the experiences of those who abstain or consume little alcohol, particularly within student populations. This student co-constructed qualitative research aimed to understand alcohol abstainer and light drinking students’ university experiences and perceptions of university alcohol cultures, given recent trends in alcohol drinking behaviour.

Ten UK undergraduate students (six males, four females; 21–26 years), five alcohol abstainers and five light alcohol drinkers (AUDIT-C), participated in semi-structured focus group interviews.

Thematic analysis of transcripts identified participants’ negative experiences of pre-university social pressures in navigating no or low alcohol drinking identities, which impacted university expectations. Participants perceived alcohol drinking cultures as remaining prevalent on university campuses and possibly used for profit and recruitment. Alcohol dominant university-sanctioned social events, alongside limited other provisions, impacted initial university transitions and belonging. However, students reported co-existing realities between such cultures and simultaneous peer acceptance of their no or low drinking status, finding similar others and long-term friendships not impacted. Due to this, student participants called for universities to take urgent action in changing pervasive university alcohol cultures, which they felt no longer aligned with changing student behaviours and perceptions.

Guided by findings, we provide important implications for prevention work and future research, including the importance of social context interventions. We also highlight the value of student co-creation and external partnerships within such work.

This study aims to review the computational framework of SDGs in India, so that a mid-course correction can be contemplated.

This study deploys, inter alia, econometric analysis to probe the robustness of indicators of SDG India Index 3.0. Methodologically, the study intensively probes the robustness of SDG India index and extensively refers to the global SDG indexes for cross-checking.

Though the three editions of SDGI index mark significant efforts taken towards measuring the progress of SDGs in India, the paradigm suffers from the problem of too many indicators chasing only few targets, quantitative and qualitative issues with indicators, vintage pollution, partial coverage of targets and robustness issues.

This study has the limitation that it could not check the robustness of SDG scores with different weights assigned to indicators and future researchers can take up that interesting assignment.

Since measuring the SDG progress through SDG index is a global endeavour, the findings of this study are important for almost all countries of the world, as it is still not too late to do mid-course correction because it is not the measurement that matters at the end of the day, rather it is the outcome of sustainable development that every country cares about.

The obfuscation of layers of SDG index in crafty, glossy and power-point-presentation-oriented SDG reports should get the reality check through such review of the computational framework of SDGs.

This is the first study that unpacks the layers of SDG index computation in general and comprehensively reviews the Indian SDG indexing method in particular.

Digital inclusive finance has a positive promotion effect on the development of the national economy, but little research exists on how digital inclusive finance affects high-quality consumption in economically developed regions. Therefore, to fill the gap, this paper aims to study the impact of digital inclusive finance on high-quality consumption development using the economically developed regions of Jiangsu, Zhejiang and Shanghai as examples.

Firstly, the entropy method is used to construct the index of high-quality consumption among residents. Then, the municipal-level data of Jiangsu, Zhejiang and Shanghai from 2011 to 2020 are used to test the impact. Subsequently, the mechanism of action test and heterogeneity analysis are conducted.

The results show that digital inclusive finance has a positive role in promoting the high-quality consumption of residents in Jiangsu, Zhejiang and Shanghai. At the same time, digital inclusive finance can promote high-quality consumption through its own digital payment and internet insurance channels. There is regional heterogeneity in the impact.

To the best of the authors’ knowledge, this study is the first to examine whether and how digital inclusive finance affects high-quality consumption. The authors consider multiple dimensions, such as consumption level, consumption structure, consumption ability, consumption environment and consumption mode, to measure high-quality consumption. The findings provide valuable insights for policymakers, investors and regulators in planning regulations.

The article aims to study the demand for sparkling wines in Europe. The main objective is to estimate the classic demand parameters aggregately for the entire European area (European Union and the United Kingdom) and separately for groups of countries characterized by wine markets with similar characteristics.

Using 15-years market data for different wine categories from the Euromonitor Passport database, the estimation of price and income elasticities is performed through a Quadratic Almost Ideal Demand System. In line with the objectives, the model is applied first to the whole European area and then separately to the considered groups of countries (subareas). To identify homogeneous subareas, a cluster analysis was performed on basic characteristics of the wine market.

When considering the European market as a whole, sparkling wines should be considered a luxury category with a high own-price elasticity. However, the structure of their demand is rather different in different sub-areas. The observed heterogeneity suggests that differentiated policy and marketing considerations should be made. In addition, it widens the possibilities for producers, who can choose the submarkets that respond best to their needs to export their sparkling wines. This seems particularly important in markets, like the sparkling wine ones, that are experiencing a continuous expansion over the last decades.

Despite using a methodology well-established to study wine and alcohol demand, the study fills a considerable gap in the literature. Although the demand for sparkling wine is growing worldwide, so far only a couple of studies have engaged in the analysis of its structure. In Europe, the largest market for sparkling wine, this kind of studies is completely lacking.

The purpose of this paper was to investigate the prevalence rates of stress, depression and anxiety and their sociodemographic factors linked with the Indian population following the second round of COVID-19 in India.

A cross-sectional study was carried out using an online questionnaire. In total, 505 individuals participated through convenience sampling. To measure anxiety, depression and stress, the Depression Anxiety Stress Scale (DASS-21), a 21-statement self-reported questionnaire, was used.

Multiple regression analyses were performed to evaluate the sociodemographic characteristics associated with depression, stress and anxiety. Results indicated salary/allowances reduction and alcohol consumption were associated with depression. Multiple regression also indicated that salary/allowances reduction, smoking status and alcohol consumption were associated with stress. In addition, this research also showed that chronic disease, salary/allowances reduction, smoking status and alcohol consumption were associated with anxiety.

During the second COVID-19 wave in India, various individuals were affected. Anxiety, depression and stress were common among Indians after the second wave of COVID-19. Along with other actions to restrict the development of COVID-19, the Indian Government and mental health specialists must pay close attention to the inhabitants' mental health. More large-scale studies on various occupations should be conducted, and new mental health factors should be included.

This study provides empirical insights related the sociodemographic factors and stress, anxiety and depression.

The aim of this study is to investigate, in the Turkish market, the elements on the front and back labels of wine bottles depicting the characteristics of the wines and their impact on the purchasing decisions of wine consumers in Turkey.

The questionnaire consisted of 24 items that used a five-point Likert scale. Data were collected through a self-administered online survey completed by 340 participants. Following exploratory factor analysis with principal component analysis and varimax rotation, the number of factors was reduced to six: front and back-label consumer experiences, front label design elements, intrinsic cue information, back-label contents, storage/flavor profile and health warnings. The final section of the questionnaire presented five digitally designed front and back labels and asked participants to indicate their preferences.

The results indicated that reading/checking the front and back labels on wine bottles was more important than all other factors. Turkish consumers generally prefer traditional front label designs, while female consumers are more open to contemporary designs compared to male consumers. Back-label designs with more information are generally more acceptable, although female consumers with good wine knowledge may not consider food pairing, storage, or service information.

This research was designed only based on the elements of the front and back labels. The research should expand to include packaging characteristics such as bottle shape, bottle closure, price, and situational use.

The findings of this study offer valuable insights for Turkish wine producers aiming to enhance their marketing strategies by customizing their wine label designs to better align with the market.

This study is the preliminary study to investigate Turkish consumers purchasing decisions based on the front- and back-label characteristics by using both verbal and visual elements.

This paper aims to explore the risk and benefit perceptions influencing beer patrons’ purchase and consumption decisions in India. It delves into the drivers behind consumers’ consumption patterns and attitudes towards beer, which subsequently impact their behavioural intentions, including word-of-mouth recommendations and repurchase intentions.

The study uses a structured questionnaire to collect data from 306 beer patrons in Delhi and the National Capital Region. Through exploratory factor analysis and structural equation modelling, the research examines the risk (5) and benefit (3) factors associated with beer consumption using a factor model consisting of 29 constructs. A conceptual framework illustrates the interrelationships between variables, which are subsequently validated empirically.

The findings reveal that patrons’ attitudes towards beer are influenced by their perceptions of risk and benefit. Specifically, health and socio-psychological risks are identified as the most significant and negatively impacting factors on patrons’ attitudes. Factorial analysis demonstrates that patrons’ attitudes towards beer are positively influenced by their perception of benefits such as value for money, sensory appeal and convenience. Furthermore, the study highlights that an increase in benefit perception or a decrease in risk perception leads to a favourable shift in patrons’ attitudes towards beer.

To the best of the authors’ knowledge, this study will be the first to investigate how beer consumers’ consumption patterns and purchase decisions are impacted by assessing consumer risk and benefit perceptions. This study will also aid stakeholders in tailoring their beer offerings better to meet the desires and requirements of their customers.

This study aims to investigate the impact of local windfall gains from the Spanish Christmas lottery on household consumption behavior.

The study applies differences-in-differences to assess permanent income hypothesis (PIH) validity, examining pre- and postlottery consumption effects. Additionally, it also uses an instrumental variable regression, using the lottery shock as an instrument for total expenditures, to estimate the Engel curves.

The paper finds a PIH violation; households in winning region notably increase consumption on durable and nondurable goods compared to nonwinning ones. Moreover, durable goods consumption is responsive to lottery winnings, while nondurable goods consumption are unit-elastic to expenditure shocks.

To the best of the author’s knowledge, this is the first paper analyzing the effects of winning regions of the Spanish Christmas lottery in all types of consumption goods, testing its consequences in the PIH and estimating its effects in the Engel curves.

Current research on mental health in the construction industry is fragmented, making it difficult to obtain a complete picture of young construction workers’ mental health conditions. This situation adversely affects research progress, mental health-care planning and resource allocation. To address this challenge, the purpose of this paper was to identify the themes of mental health conditions among young construction workers and their prevalence by geographical location.

The scoping review was conducted using meta-aggregation, guided by the CoCoPop (condition [mental health], context [construction industry] and population [construction workers 35 years old and younger]) and PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews) frameworks.

A total of 327 studies were retrieved, and 14 studies published between 1993 and 2022 met the inclusion criteria. The authors identified 13 mental health conditions and categorized them under nine themes. Mood disorders, anxiety disorders and substance-related disorders constituted the most researched themes. Studies predominantly focused on young male workers in the Global North. The prevalence estimates reported in most of the studies were above the respective country’s prevalence.

This review extends previous studies by focusing specifically on the themes of mental health conditions and giving attention to young construction workers whose health needs remain a global priority. The study emphasizes the need to give research attention to lesser-studied aspects of mental health, such as positive mental health. The need to focus on female construction workers and on homogenous sub-groups of young workers is also emphasized. The findings can guide future systematic reviews on the identified thematic areas and help to plan the development of interventions.