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• Literature review papers related to the tourism-energy nexus are analyzed. • Four main groups are identified considering the quantitative methodology used. • Topics and discussions on the nexus between tourism and energy are developed. • Future research is discussed. The high dependence of tourism activities on energy consumption, and particularly on non-renewable energy, is a major barrier to building sustainable tourism models. For this reason, the analysis of tourism and energy use is a growing field of study within sustainability debates. Despite this, there is a gap in the literature and, to the best of our knowledge, there is no previous study that critically reviews the vast literature on the energy-tourism nexus. This paper aims to fill this gap in tourism knowledge. The main objective of this article is to conduct a systematic review of scientific studies with a quantitative empirical basis that examine this nexus, trying to answer the following questions: What are the main methodologies used to approach the tourism-energy nexus? which indicators or variables are relevant?; is there a consensus on the results?; and what are the main lines of discussion on the use of energy in tourism? To this end, we particularly focus on the main methodologies, results and perspectives during the period 2001–2021. A total of 1,189 articles were reviewed by abstract and title, 236 were included for the full review and 163 were finally selected. The results show how the nexus and energy dependence of tourism is assessed mainly from four major methodological groups: G1) econometric models, regressions and other statistical methodologies (67% of the sample); G2) surveys, questionnaires and energy audits (15%); G3) Life Cycle Analysis (13%) and G4) other approaches and environmental impact indicators to assess the relationship between energy and tourism (5%). The analysis between the causal relationships between tourism development, economic growth, energy use, environmental degradation and energy efficiency of accommodations are the main issues evaluated, considering a wide range of indicators/variables. Based on the gaps and limitations found in the literature review on tourism and energy, it is discussed how some findings should be interpreted with caution due to their methodological approaches and differences. Finally, some of the main lines of future research in this field are also presented. [ABSTRACT FROM AUTHOR]

• An index of Sustainable Agriculture for the EU-28 over the period 2005–2014 is computed. • A Granger-causality test for panel data is implemented. • A negative bidirectional relationship between climate change and agricultural yields is verified. • A negative bidirectional relationship between climate change and sustainable agriculture is identified. • Conventional agriculture negatively affects sustainable agriculture. Agriculture and climate change are characterized by a complex cause-effect relationship. The agricultural sector generates significant quantities of gas emissions that affect climate. The rise in the concentration of greenhouse gases in the atmosphere, the increase in temperatures as well as changes in the precipitation regime have repercussions on the volume, quality and stability of the agricultural and zoo technical production, but also on the natural environment in which agriculture is practiced. Based on the above, the purpose of the paper is twofold. Firstly, through the Wroclaw Taxonomic Method, we construct a composite indicator, called the Index of Sustainable Agriculture (ISA), and analyse 28 countries that have joined the European Union from 1 July 2013 to today (EU-28) over the period 2005–2014, according to 16 variables. Secondly, the Granger-causality test for panel data is implemented in order to verify the causal relationship among the ISA, climate change and agricultural production. In other words, we test which of the three analyzed variables turns out to be the cause variable and which, instead, turns out to be the effect variable. Furthermore, we test if there is a bidirectional causality among the variables. This analysis provides a wide overview on how European countries rank according to the ISA and its three crucial pillars, i.e. environmental, economic and social. Moreover, important causality relationships among the ISA, climate changes (approximated by mean annual temperature and mean annual precipitation and provided by the Climate Research Unit (CRU) Time-Series (TS) Version 3.22 of the University of East Anglia) and agricultural production (approximated by wheat and spelt yields and provided by EUROSTAT) are identified. In particular, the following hypotheses are verified: 1) there is a negative bidirectional relationship between climate change and agricultural yields; 2) there is a negative bidirectional causal relationship between climate change and sustainable agriculture; 3) conventional agriculture negatively affects sustainable agriculture. [ABSTRACT FROM AUTHOR]

Highlights • An integrated approach is developed for environmental sustainability. • Climate variability has significant impacts on local environmental sustainability. • Rio Grande Basin is sustainable under current climate conditions. • Rio Grande Basin will become less sustainable in the late 21st century. Abstract Extreme weather events have been affecting local environmental sustainability. Previous literature in this field evaluates environmental sustainability based mainly on past and current resource consumption and availability, however, knowledge about the status and potential changes of environmental sustainability under future climate extremes is missing. This paper proposes an integrated approach (combining the Ecological Footprint Analysis with econometric regressions) to predict future environmental sustainability under different climate scenarios. Based on the case study of the U.S. Rio Grande Basin, the results show that this region has been sustainable in 1982–2012, although sustainability levels have been declining over time. In addition, projections for the future show that the entire region will most likely move away from sustainability by the end of this century under the high emission scenario (e.g., RCP8.5). These findings are relevant for sustainable resource management and allocation of local environmental resources as well as for decision-making support regarding climate risk adaptation and mitigation strategies. [ABSTRACT FROM AUTHOR]

Due to steadily increasing resource demand and accompanying raising public awareness, a variety of assessment methodologies evaluating resource use and its consequences were published in the last years. Existing methodologies are typically developed considering the specific characteristics of one particular resource type and as consequence are not suitable for cross-cutting assessment of different resource types. This paper proposes an 3-step approach for combining different resource use assessment methodologies allowing for a consistent assessment of product systems using different resource types. The first steps evaluate if the considered dimensions, categories, indicators, indicator models and underlying data are consistent. When this is the case, they can be included in the combined methodology without further adjustments. Differences are identified simultaneously and addressed in the subsequent steps. Within the steps guidance is provided on how the dimensions, categories and indicators of the methodologies can be adjusted to fit in the combined methodology. In a case study the proposed approach is applied to two methodologies developed by the authors assessing abiotic (ESSENZ method) and biotic resources and raw materials (BIRD method). The ESSENZ method consists of four dimensions, which are quantified by overall 21 categories and indicators. The BIRD method takes into account five dimensions and 24 corresponding categories and indicators. As none of the considered dimension of the two methodologies match, comparison of the considered resource types as well as application in a case study is not possible. By applying the proposed approach all five dimensions and 25 of the overall 27 categories and indicators can be integrated in the combined approach for a consistent assessment of abiotic and biotic resources and raw materials. The obtained combined methodology is then applied to three shelves made out of metal, wood and plastic. It could be shown that the introduced approach provides meaningful guidance on how to combine different resource use assessment methodologies and increases the findings gained from a combined and consistent assessment. [ABSTRACT FROM AUTHOR]

Abstract: Soil is one of the most important and most complex natural resources, but current developments (urbanisation, erosion and climate change) increasingly threaten this valuable resource in Europe and worldwide. The main objective of this paper is to introduce how changes in soil quality were modelled in the SENSOR project through two indicators: soil carbon content and soil water erosion. Indicators were calculated using state variables and model variables that were mainly derived from the CLUE model which predicts land use change in response to policy scenarios. In the case of erosion, accuracy of the calculations was evaluated by comparing GIS data with the results of the PESERA project. The PESERA and SENSOR models predicted comparable soil loss for the first year in the NUTS-X regions of Europe that were analysed. The higher resolution national soil-loss prediction USLE map largely overestimated the amount of soil loss compared to the PESERA and the SENSOR models in the NUTS-X regions of Hungary. This discrepancy may result from technical or methodological differences such as the spatial reference framework (NUTS-X regions), spatial resolution or levels of data aggregation. The soil organic carbon loss predictions for the NUTS-X regions of Europe are displayed on maps and background data are given in tables. The greatest decreases in soil carbon content may be expected in some regions of Poland, Latvia, Lithuania, south-eastern UK and eastern Germany. The greatest increases in soil carbon content may be expected in central and eastern parts of the UK, in Ireland, in northern and central Sweden and Estonia, in Greece, in central and southern Italy, in the island of Sardinia and in some regions of Spain. As erosion strongly reduces soil productivity these predictions have not only environmental but also socio-economic implications. The results presented in this paper could be used at EU level to locate regions where negative changes in soil quality can be expected. [Copyright &y& Elsevier]

• A regional green development index system is established based on the "driver-pressure-state-impact-response" model. • The level of regional green development in Hubei, China, is rising, and the gap between regions is narrowing. • The inter-regional spillover effect of green development is greater than the intra-regional spillover effect. • Technological innovation and the living environment have a positive spillover effect on green development. Green development strives to harmonize economic and social development with environmental protection. It is an innovative development model for people to follow in response to global climate change. This paper first combines the "driver-pressure-state-impact-response" (DPSIR) model with the entropy weighting method to measure the level of green development in Hubei Province from 2010 to 2018. Then, the spatial Durbin model (SDM) is used to analyse in depth the spatiotemporal evolutionary pattern and spatial spillover effects. The results indicate that after 2014, the levels of green development increased significantly and that regional differences gradually shrank. ρ = 0.409 indicates that the green development level has a positive spatial spillover effect, and the spillover effect between regions is greater than that within a region. The spatial spillover effects of the industrial structure and growth efficiency are −2.17 and −8.64, respectively, while the spatial spillover effects of technological innovation and the living environment are 7.35 and 0.32, respectively. Based on our findings, we provide several policy recommendations for developing countries to achieve green, coordinated and sustainable development. [ABSTRACT FROM AUTHOR]

• This study develops energy security and environmental sustainability index for South Asia. • We select comprehensive, meaningful, and most relevant set of energy and environmental indicators. • Mathematical programming approach is adopted for weighting and aggregation of indicators. • Results reveal Bhutan as more energy secure and environmentally sustainable country in South Asia. • Maldives obtained lowest ESESI score. The concept of energy security has received significant attention in studies. However, most of the studies often ignored to integrate environmental aspect in the energy security assessment. Therefore, to measure the energy security and environmental sustainability of South Asian countries, this study develops a new index, i.e., Energy Security and Environmental Sustainability Index (ESESI), which combines energy and environmental indicators. The study presents an analysis of the period 2006–2017. The results show that Bhutan outperforms the rest of the countries in South Asia based on different indicators. Likewise, the overall ESESI score reveals Bhutan as more secure regarding energy security and environmental sustainability. India comes second in the region with a stable score followed by Sri Lanka, which substantially increased its performance over time. Pakistan is ranked fourth; however, the country experienced a decreasing trend of ESESI score. Nepal, Bangladesh, and Afghanistan follow the list with reduced scores. Maldives obtained the lowest ESESI score during the study period 2006–2017. Lowest ESESI implies that the Maldives is the least energy secure and environmentally sustainable country in the region. Based on the above findings, this paper recommends cross-border energy trade and increase in trans-regional renewable energy investments for long-term energy security and environmental sustainability in the region. [ABSTRACT FROM AUTHOR]