Residential Solar Water Heater Adoption Behaviour: A Review of Economic and Technical Predictors and Their Correlation with the Adoption Decision

The successful deployment of the solar water heater (SWH) in the residential sector relies on the household’s bounded rational decision-makers to accept this system. The decision is shaped by a wide spectrum of predictors that form heterogeneous behaviour. Over the past years, research has employed a wide range of these predictors to understand their role in the decision and predict the behaviour and diffusion rate of SWHs. This review primarily identifies economic and technical predictors of 100 quantitative and qualitative studies on the residential SWH adoption decision. For the identified predictors, their characteristics and popularity are explored in a structured and coherent framework. The review further investigates the correlation between the identified predictors and the adoption decision from 97 of the 100 initially reviewed studies. The outcome of the research revealed 123 (56 economic and 67 technical) predictors that were classified into seven categories. ‘Financial incentives’ and ‘perceived attitude towards government policies’ are among the most popular economic predictors, whereas ‘house type’ and ‘knowledge of SWH’ were the most frequent technical factors in the research. Analysing the correlation between 99 predictors and the decision also unfolded that certain attitudinal attributes have a stronger influence on the residential SWH take-up than some common factors (e.g., electricity cost, technical variables).

Erratum: Demographic and socio-economic predictors of physical activity among people living with HIV of low socio-economic status

No abstract available.

Language in Economics and Accounting Research: The Role of Linguistic History

This paper investigates whether a consideration of linguistic history is important when studying the relationship between economic and linguistic behaviors. Several recent economic studies have suggested that differences between languages can affect the way people think and behave (linguistic relativity or Sapir–Whorf hypothesis). For example, the way a language obliges one to talk about the future might influence intertemporal decisions, such as a company’s earnings management. However, languages have historical relations that lead to shared features—they do not constitute independent observations. This can inflate correlations between variables if not dealt with appropriately (Galton’s problem). We discuss this problem and provide an overview of the latest methods to control linguistic history. We then provide an empirical demonstration of how Galton’s problem can bias results in an investigation of whether a company’s earnings management behavior is predicted by structural features of its employees’ language. We find a strong relationship when not controlling linguistic history, but the relationship disappears when controls are applied. In contrast, economic predictors of earnings management remain robust. Overall, our results suggest that careful consideration of linguistic history is important for distinguishing true causes from spurious correlations in economic behaviors.

Socio-Economic Predictors of Hiring Live-In Migrant Care Workers to Support Community Dwelling Older Adults with Long-Term Care Needs: Recent Evidence from a Central Italian Region

To meet the rising demand for home care, many families in Italy hire live-in migrant care workers (MCWs). However, the reliance on MCWs to provide long-term care (LTC) and a lack of alternative formal care services raises concerns around equality in access to care. This study aimed to determine the socio-economic predictors of hiring live-in MCWs among older adults with LTC needs in Italy, the objective care burden placed on MCWs, and the financial barriers that people in need of care and informal caregivers face when hiring MCWs, analysing data from a cross-sectional questionnaire with 366 older adults with LTC needs and their primary family caregivers living in the Marche region. Binary logistic regression was used to calculate the predictors of hiring a live-in MCW. Having a primary caregiver that had a high school education or above significantly increased the odds of hiring a live-in MCW (Odds Ratio (OR) = 3.880), as did receiving a social pension (OR = 2.258). Over half (57.5 percent) of the people in need of care had difficulties in affording the costs of hiring an MCW in the past year. To increase the sustainability of the Italian MCW market and reduce socio-economic barriers to accessing care, the Italian Government should increase funding for LTC benefits and add means testing and restrictions on the use of cash-for-care allowances.