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Population ageing is fast becoming a major social concern across the globe. This ageing trend unavoidably fuels elders’ demand for healthcare services. As the main users of health care service, whether the healthcare is geographically approachable in local areas is more imperative to senior residents with restricted mobility. This paper proposes to examine the effect of elders’ healthcare accessibility on property prices of Taipei Metropolis, Taiwan.

Luo and Qi’s (2009) enhanced two-step floating catchment area method – taking both healthcare demand and supply into account – was used to measure three types of healthcare services: “physician-to-elder ratio”, “hospital bed-to-elder ratio” and “ambulance-to-elder ratio”. Spatial quantile regression (SQR) model was then used to examine the spatial effect of healthcare accessibility on different property price ranges.

The “physician-to-elder ratio” and “hospital bed-to-elder ratio” demonstrated expected consistent positive effects across all quantiles of property prices (p < 0.01) in SQR, and its effects aggravated as the quantiles of property prices rose. The “ambulance-to-elder ratio” demonstrated a non-linear influence on property prices (i.e. a negative effect on lowest quantile prices but a positive on higher quantile prices) possibly due to the semi-obnoxious characteristic of the ambulance. That is, residents living in lower priced neighbourhoods may dislike ambulances’ annoying sound of sirens (i.e. ambulances’ disamenity), while residents living in higher valued neighbourhoods may on the contrary appreciate ambulances’ healthcare services (i.e. amenity).

These findings are expected to offer some insights for government’s policies in providing elders in their later years with good residential quality and easy access to healthcare resource.

This paper is one of the few studies that consider the capitalization of the spatial healthcare accessibility to elders into property prices. In this ageing trend across the globe, although all the accessibility to medical resources should be equally critical, the application of spatial quantile regression revealed residents’ inconsistent tendency against semi-obnoxious ambulances. It provides a different perspective in defining the importance of healthcare accessibility in neighbourhoods.

The authors analyse the interactive influence of energy use, capital investment and finance on pollution in energy-dependent African countries.

The study analyses data from 5 selected energy-dependent African nations (i.e. Algeria, Egypt, Nigeria, Morocco and South Africa) between 1981 and 2020 using the fully modified ordinary least squares (FMOLS) approach.

The panel result reveals that capital investment and energy interaction and financial development and capital investment moderation reduce pollution in all the countries. However, for country-specific results, the interaction of investment and energy lowers emissions in Algeria, South Africa, Nigeria and Morocco but increases pollution in Egypt. Similarly, except for Egypt, financial development and capital investment interaction offset pollution in Algeria, Nigeria, South Africa and Morocco.

The limitation of the study stems from the inability to extend the scope to cover the entire African region. However, the fact that the authors selected the most prominent African nations in the sample to enable us to set the template for other smaller nations to follow makes the study tenable in its present form.

Energy-dependent African countries should invest in eco-friendly machines, technologies and equipment to lower pollution vis-à-vis production expansion.

The present research is more expansive by combining the finance and capital investment channels in the quest for decarbonising emerging African nations. Moreover, this is a comparative study, unlike past studies that mainly deploy a one-size-fits-all approach.

The purpose of this paper is to investigate for symmetries – in sign and size – between spot and futures prices in the markets of energy commodities.

The aforementioned objective is pursued using daily observations of spot and futures prices for the commodities of crude oil, Brent, heating oil, gasoline and natural gas, along with local nonlinear regression.

Symmetry in sign and size cannot be rejected. This means that, shocks of the same absolute magnitude, but of different sign, are transmitted from futures prices to spot prices with the same intensity. In addition, larger absolute value price shocks in the futures are transmitted to the spot markets with the same intensity compared with smaller ones. The findings of symmetry in the comovements among prices reveal a lack of those commodities on diversifying the investors’ investment risk.

To the best of the authors’ knowledge, this is the first study to use local nonlinear regression to test for sign and size symmetry between futures and spot prices in the energy commodities markets.

This paper analyzes the role that the climate change concern (CCC_i) has on the willingness to accept an environmental tax. The author aims to grasp how individual general tax preferences can differ with respect to the specific (environmental) tax. He focuses attention to the Italian case since it has been argued that the potential acceptability of a carbon tax in Italy is relatively high, and this topic has been scarcely explored so far among Italian citizens (Rotaris and Danielis, 2019).

The author conducted an online survey among 514 Italian economics students.

The CCC_i positively influences the environmental tax morale (ETM_i). The general tax morale (TM_i) positively affects the specific (environmental) TM_i. The CCC_i alters individual tax preferences. The author evidenced that also subjects with low TM_i turned out to be willing to pay an environmental tax if aware of the environmental issues.

Although the author used a common methodology in this strand of research, he is aware that in an online survey individuals can be influenced by the self-reporting and hypothetical choice bias (see Swamy et al., 2001), that in turn can characterize their reported preferences. Moreover, even if economics university students are commonly used as a subject pool in experimental economics settings, and although several studies showed that the behavioral responses of students are largely the same as those of nonstudents in identical experiments (for a discussion see Alm, 2012; Choo et al., 2016), there is awareness that in this case, they are not taxpayers yet (Barabas and Jerit, 2010).

The author’s results remark the importance of increasing climate change awareness among people to let them be more willing to pay the environmental tax, for instance through investments in sensibilization campaigns on the importance of energy source usage and climate-related topic. Then, an increase in the general TM_i leads to an increase in the specific (environmental) TM_i. The author’s evidence showed that people with high tax morale logically recognize the positive impact of paying an environmental tax when the CCC_i increases, since the more the theme becomes important, the larger the willingness to pay the specific tax. For this reason, policymakers should carry on campaigns to increase the general level of TM_i to increase the overall tax compliance level and the relative tax revenues, following the guidelines given by the Organisation for Economic Co-operation and Development (2019) to support taxpayer education programs, such as including TM_i research and analysis into education programs, improving the ease of paying taxes or strengthening revenue–expenditure links to build the social contract.

It should be paramount to increase awareness about environmental topics among people in general and among those who are relatively tax immoral. The author’s results remark on the importance of targeting energy and environmental tax policies to groups rather than to individuals. According to this evidence, we support the use of nonmonetary tools to nudge people in the environmental transition by changing their behavior in energy use, for instance through the taxation on fuel and other nonrenewable energy resources.

It is the first empirical study that analyzes the impact of CCC_i on the environmental TM_i in Italy, in particular controlling for the role of the general willingness to pay taxes (TM_i). To obtain individual attitudes toward tax payment, most of the empirical studies in behavioral economics employ international surveys. For studies across citizens living in European countries, the European Social Survey (ESS) and European Values Study (EVS) represent the most used ones (see, for instance, Martinez-Vazquez and Torgler (2009) in Spain; Torgler and Werner (2005) in Germany; Nemore and Morone (2019) in Italy). However, these surveys do not allow to study the relationship between the environmental and general TM_i across the same subject pool. In fact, despite the ESS (2016) provides individual responses about the willingness to pay an environmental tax, it does not provide information about the general individual attitude toward tax payment (this information is contained only in the ESS wave of 2004, hence referring to a different subject pool). On the contrary, each wave of the EVS (i.e. 2008, 2017) provides information about the general individual attitude toward tax payment, but this survey does not provide a question regarding the willingness to pay an environmental tax. Therefore, to obtain information about the willingness to pay both general and environmental taxes, across the same subject pool, it is needed to carry out a survey.

The Kingdom of Bahrain has had tremendous development in various areas in the last decade. As a result of this, increasing energy consumption in Bahrain puts a strain on the country's energy supplies and increased CO₂ emissions. This study investigates the determinants of carbon emissions in Bahrain.

This study employs the autoregressive distributed lag (ARDL) bounds test and vector error correction model (VECM) Granger causality cointegration methods for empirical analysis during 1980-2020. The unit root test and residual diagnosis have been applied to see the stationarity and normality of the model.

The analysis suggests no short run causality amid carbon emission, international trade, capital formation, economic development and energy consumption, but a long-run association jointly exist from the exogenous variables toward endogenous variables. The results of the study also revealed that trade and economic growth in Bahrain react negatively to environmental deterioration.

This research study’s outcome will help the policymakers to build sound external and environmental policies to sustain economic growth and suggested policymakers to emphasize on sustainable usage of energy, alternatives of energy supply, and creation of renewable energy to mitigate the impact of CO₂ emission.

The alternatives of energy supply and creation of renewable energy can positively influence the socio-economic state of the nation, like new job opportunities, revenue generation.

This study is unique as no other study till now has covered this period. The findings are also different as the past studies found short-run causality with the control variables, but the study found a long-run causality jointly.

The purpose of this study is to examine how households opt for their loan’s duration when it comes to energy efficiency retrofits (EERs). The primary focus is on the time horizon that these types of EERs will provide benefits to the households.

This study examines the second wave of the largest EER support program in Greece in recent years. The authors exploit an idiosyncrasy of the support program which offered interest-free loans. The baseline sample of this study includes approximately 18,000 households awarded the support and opted for a loan. To provide robustness and complement the analysis, the authors also use data from 38,000 households that were awarded support from the first wave of the EER program.

This study finds that EER investments that are likely to deliver longer-term benefits, in the form of energy savings, are positively associated with longer duration. This finding implies that households view such EERs as long-term investments that will consistently provide benefits in the future, thereby tolerating a longer period of incurring the inconvenience of paying monthly installments.

This study posits that an EER can be perceived by the household as an investment that saves money in the long term because of more efficient energy use. To this end, the authors bring forward the duration of the benefits accrued to the household as a driving factor to the household’s decision over the length of the loan.

This study expands on prior literature that has focused on consumer and loans for durables (e.g. cars) by examining EERs. However, EERs are different, as they can save households money in future periods. In addition, house EERs are at the forefront of energy policies and the design of future support programs at the epicenter of several initiatives.

The purpose of this paper is to examine the impact of fossil fuel prices – crude oil, natural gas and coal – on different electricity prices in Mexico. The use of alternative variables for electricity price helps to increase the robustness of the analysis in comparison to previous empirical studies.

The authors use an unrestricted vector autoregressive model and the sample covers the period January 2006 to January 2016.

Empirical findings suggest that crude oil, natural gas and coal prices have a significant positive impact on electricity prices – domestic electricity rates – in Mexico in the short run. Furthermore, crude oil and natural gas prices have also a significant positive impact on electricity prices – commercial and industrial electricity rates.

Two are the main contributions. First, this paper explores the nexus among crude oil, natural gas, coal and electricity prices in Mexico, while previous studies focus on the US, UK and some European economies. Second, instead of using one electricity price as a reference of national or domestic electricity sector, the analysis considers alternative Mexican electricity prices.

There is a paucity of studies on the subject of environmental assets and their value. This is particularly the case with the forests. In Croatia, coastal forests are an important public asset especially given their value as an indispensable part of the Mediterranean landscape, yet often threatened by fires. Recognising this value of forests, the ongoing project concerning the coastal forest protection and reconstruction was initiated in 1995. An aspect of the project was to ascertain the aesthetic and recreational value that forests have for local residents. Therefore, the aim of this paper is to report selected survey results, but more important, to give an outline of the methodological approach developed for this complex task. Contingent valuation method, as the most frequently used method for the valuation of public non‐marketed goods and environmental assets was applied. Two surveys were conducted describing hypothetical forest preservation and forest reforestation programmes. The focus of the surveys was to test local residents' willingness to pay for the protection of forests in view and for the reforestation of burnt areas in view. Results demonstrated that majority of respondents was willing to pay for the protection of forests in view as well as for reforestation, and their main motive for paying was esthetical. Both univariate and multivariate methods were applied in order to assess the best predictors of willingness to pay for both surveys.

This study investigates organizational climate under the thriving at work perspective using a network approach. The authors demonstrate how organizational climate functions as a complex system and what relationships between variables from different dimensions are the most important to characterize the construct.

By surveying 119,266 workers from 284 companies based in Brazil, the authors estimated a Gaussian graphical model with LASSO regularization for the complete dataset and for two subsets of cases randomly drawn from the whole dataset. The walktrap algorithm was applied for community detection, and a strong model for measurement invariance was fit to test whether the organizational climate is perceived similarly across groups.

Results show that the networks estimated for both groups are quite consistent, with similar number of communities and items detected. The same pattern was found for the expected influence of each item. Measurement invariance was confirmed, showing that organizational climate is perceived similarly in both groups. The most important community detected and whose items have higher levels of centrality was organizational commitment, followed by a community centered around macro-organizational aspects covering cultural integrity, organizational agility and responsible leadership.

Studies in the field have attested to the possibility of investigating the phenomenon from four (Campbell et al., 1970) to over 80 dimensions (Koys and DeCottis, 1991). As a result, since several dimensions have been produced to investigate organizational climate, there is no consensus on the quality and number of dimensions that should be considered to measure such a vast and multifaceted construct. Built on thriving at work perspective, eight dimensions were devised to cover a wide range of characteristics that distinguish organizational climate, including those related to Industry 4.0 (Coetzee, 2019). However, one may argue that a few dimensions, namely social responsibility, diversity and inclusion, or even more items describing work-life balance could expand the depth and breadth of the instrument and potentially trigger new associations that might eventually impose a new logic to the comprehension of climate as a system. Future studies combining the dimensions investigated in this study with other dimensions are therefore highly recommended for an even more comprehensive investigation.

The results of this investigation show how to apply psychological networks to gain insights into different variables and dimensions of organizational climate. These findings can be used for the development of organizational policies focused on the most relevant aspects of organizational climate. This information would allow organizations to go beyond simply describing the individual frequencies for each item and could even be used to create a weighted scoring model that could prioritize variables with higher levels of centrality.

To the authors’ knowledge, this is the first study that investigates organizational climate using psychological networks; it provides a better understanding of the relationships established between items from different dimensions as opposed to the common cause framework whose focus is on the investigation of dimensions separately.

The purpose of this paper is to provide a conceptualization of the construct of cultural identity (CI) and develop and validate a measurement scale for the construct. This study examines experience-related cognitions and the positive and negative emotional dimensions in cultural identity.

The paper describes the process of the development of the instrument, the sample, as well as the validation of the instrument. This study performs both exploratory factor analysis and confirmatory factor analysis to examine the reliability and validity of the scale developed.

The final CI scale has three dimensions: six items for the cognitive dimension, five items for the emotional dimension and seven items for the behavioral dimension. The scale shows internal consistency, reliability, construct validity and nomological validity.

This is the first CI scale to be developed for the measurement of CI of traditional Chinese medicine.