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AbstractThe development and implementation of effective policies for promoting energy efficiency in the household sector has been an emerging target of the EU. A recent analysis of Latvian households included in a smart metering pilot, shows this type of housing as the most statistically significant variable to impact electricity savings. This study deals with the statistical analysis of residential buildings to find simplified correlations for the assessment of factors affecting changes in electricity consumption, in particular, taking into account selected building characteristics, as well as the personal, socio-economic, socio-demographic characteristics of households. Multiple linear regression analysis is used to present and compare results between two groups – the target group with smart meters and control group without smart meters by differentiating among typical heating types as determined in a field study.

Abstract The tendencies of the development of real estate market could affect the tendencies within the real estate development. The development of the real estate market could be influenced by the variety of factors, depending on the economic system of the country and other factors. The aim of the research is to analyse the tendencies in the Latvian real estate market, by paying particular attention to its influencing factors and sustainable real estate development. The literature review, comparative, historical, statistical analysis, observation and logical access methods have been used in the research. The research provides an interdisciplinary view on the topic. Particular attention is paid to the case of Latvia. The research can be used to promote the importance of sustainability and sustainable development using different forms, mostly economic and environmental ones. Changes within the economic dimension, including changes of real estate market prices, and other significant aspects of real estate development can influence the sustainability of the real estate market in general and may affect the financial results of market participants. Thus, the research can also be useful for real estate developers for a planned, balanced and financially successful entrepreneurship in the changing environment.

The importance of sustainable tourism in environmental literature is well documented, while there is a need to explore its different socio-economic and environmental factors that are helpful to promote sustainable development across countries. The objective of the study is to investigate the relationship between international tourism (ITOUR), energy demand (ED), carbon dioxide emissions (CO2), and economic growth (EG) by using a panel data of top 10 tourism-induced countries for the period of 1995-2016. The findings confirmed the Environmental Kuznets Curve (EKC) hypothesis in the panel of top 10 countries. Moreover, the results show that FDI inflows negatively influenced natural environment in the form of high mass carbon emissions, which supported "pollution haven hypothesis (PHH)." The energy demand escalates carbon emissions across countries. The study confirmed the feedback relationship between (i) tourism income (TI) and ED, and (ii) CO2 emissions and international tourism departures (ITD), while study supported the growth-led tourism income across countries. The study concludes that government(s) should have to focus on ecotourism policies and energy resources in a way to mitigate carbon emissions that is imperative for sustainable development across countries.

Global economic trends have shown the progression of social inequalities and environmental deterioration in the grey economy. New economic practices and policies need to be developed in order to achieve the sustainable development goals (SDGs). A green economy (GE) has a correlative role with the implementation of sustainable development (SD), which could revive the grey economy, human well-being, and social equity, as well as substantially decrease environmental risks and ecological scarcities. This study aims to develop a hybrid methodological and mathematical approach to prioritize the most effective variables from classified GE and SDGs criteria (23 criteria) to implement SD. This study has deliberated over the Decision making trial and evaluation laboratory (DEMATEL) technique for considering interconnections among numerous criteria to collect the most effective variables (12 criteria) based on three pillars (3Ps) of SD. Likewise, the analytic network process (ANP) technique ranked these effective variables by considering their network relations based on three indicators. Lastly, integration was used to finalize and prioritize the most effective variables based on their weight from the ANP technique. This study will highlight the green economy with exclusive environmental issues and sustainable growth as the greatest effective variables among GE and SDGs criteria for SD implementation.

AbstractGlobal CO2emissions from different industries have been increasing at an alarming rate. This growth is outpacing the efforts, nations are putting in place to reduce their carbon footprints. In this topical review, we critically analyze the level of CO2emissions on a global scale and across various industries and activities within them and the dominant anthropogenic forcing instability. The global CO2emission from various economic sectors such as industries, transportation and variety of waste sources were traced globally and regionally. To contextualize our review, the sector wise CO2emission trends data for a period more than a decade is reviewed which highlighted the main sources of emissions. The data shows the overall reduction of carbon footprints and its progress across various sectors is very limited. The governing factors for this continued global pattern can be ascribed to two main factors: high consumer demands, and poor efforts towards shifting low and zero carbon services across all sectors. Some efforts have been witnessed to shift towards clean fuels and renewables, particularly in Europe and North America. However, rapid growth in industrialization limits the shifting of fossil-based energy systems towards less harmful systems. In Asia, particularly in eastern, southern, and south-eastern regions, the carbon footprints were found to increased owing to a huge demand for materials production, travelling and energy services. Therefore, it is of utmost importance to identify, understand and tackle the most persistent and climate-harmful factors across all industries and drive such policies to substitute the fossil fuels with renewables.

This study investigates the causal relationship between public investment and sovereign debt (i.e., external and domestic public debt) with respect to the limits of public-debt sustainability for four countries with the highest GDP (i.e., the United States, China, Japan, Germany) during the period of 2000–2015. In summary, this study establishes quantitative evidence based on empirical findings to support the claim that sovereign debt is harmful to the financing of public infrastructure if it breaches certain thresholds, as proposed in this study, and according to the literature. By this approach, the findings enable us to make recommendations about the need for mobilizing domestic resources and innovating new financial models to promote sustainable development within the limits of sustainable public debt. In short, this paper concludes that performing a project for sustainable development by implementing unsustainable financing models will always end up with unsustainable economic outcomes.

Household air pollution (HAP), primarily from biomass fuels used for cooking, is associated with adverse health outcomes and premature mortality. It affects almost half of the world’s population, especially in low-income and low-resourced communities. However, many of the ’improved’ biomass cookstoves (ICS) aimed at reducing HAP lack empirical evidence of pollutant reduction and reliability in the field. A scoping review guided by the Joanna Briggs Institute framework was systematically conducted to explore and analyse the characteristics of cookstoves to assess the ICS available to meet the socio-economic and health needs of households in sub-Sahara Africa (sSA). The review searched Scopus, PubMed, Web of Science, EMBASE, Global Health Database on OVID, BASE, and conducted a grey literature search from 2014 to 2022 for all field-based ICS studies. In addition, user perspectives were explored for cookstoves analysed as available, affordable, and effective in reducing harmful biomass emissions. The search returned 1984 records. Thirty-three references containing 23 ICS brands were included. The cookstoves were analysed into seven categories: (1) efficiency in HAP reduction, (2) availability, (3) affordability, (4) sustainability, (5) safety, (6) health outcomes, and (7) user experience. Most (86.9%) of the improved cookstoves showed a reduction in harmful emission levels compared to the traditional three-stone fire. However, the levels were higher than the WHO-recommended safe levels. Only nine were priced below 40 USD. Users placed emphasis on cookstoves’ suitability for cooking, fuel and time savings, safety, and price. Equality in cooking-related gender roles and psychosocial benefits were also reported. The review demonstrated limited field testing, a lack of evidence of ICS emissions in real-life settings in sSA, heterogeneity in emission measurements, and incomplete descriptions of ICS and kitchen features. Gender differences in exposure and psychosocial benefits were also reported. The review recommends improved cookstove promotion alongside additional measures to reduce HAP at a cost affordable to low-resource households. Future research should focus on detailed reporting of study parameters to facilitate effective comparison of ICS performance in different social settings with different local foods and fuel types. Finally, a more community-based approach is needed to assess and ensure user voices are represented in HAP intervention studies, including designing the cookstoves.