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Recent empirical research indicates that certain types of emissions follow an inverted-U or environmental Kuznets curve (EKC) as income grows. This regularity has been interpreted as a possible de-linking of economic growth and patterns of certain pollutants for developed economies. In this paper the empirical basis of this result is investigated by considering some statistical particularities of the various EKC studies performed. It is argued that the inverted-U relationship between income and emissions estimated from panel data need not hold for specific individual countries over time. Based on insights from 'intensity-of-use' analysis in resource economics, an alternative growth model is specified and estimated for three types of emissions (CO

Abstract In this study, we investigate the driving forces behind the changes in residential energy consumption (REC) in China’s urban and rural areas over the 2001–2012 period. Based on the logarithmic mean Divisia index method, the REC changes are decomposed into seven driving forces, which are climate change, energy price, energy expenditure mix, energy cost share (in total expenditure), expenditure share (in income), per capita income and population effects. According to the results, climate effect due to increasing days with abnormal temperature, energy cost share effect characterized by more expenditure to be paid for energy use, income effect describing constant income growth in the residential sector definitely increase REC in both urban and rural areas. In contrast, energy prices and energy expenditure mix effects negatively contribute to the REC increase, respectively because of the increase in energy prices and the transition from the low-priced energy to high-priced energy. Expenditure share and population effects play opposite roles in urban and rural areas, and the reasons and implications are analysed in depth.

Variation in household CO2 emissions between and within countries may have important consequences for the equity dimension of climate policies. In this Study we aim to identify some determinants of national household CO2 emissions and their distribution across income groups. For that purpose, we quantify the CO2 emissions of households in the Netherlands, UK, Sweden and Norway around the year 2000 by combining a hybrid approach of process analysis and input-output analysis with data on household expenditures. Our results show that average households in the Netherlands and the UK give rise to higher amounts of CO2 emissions than households in Sweden and Norway. Moreover, CO2 emission intensities of household consumption decrease with increasing income in the Netherlands and the UK, whereas they increase in Sweden and Norway. A comparison Of the national results at the product level points out that country characteristics, like energy supply, population density and the availability of district heating, influence variation in household CO2 emissions between and within countries. (C) 2008 Elsevier Ltd. All rights reserved.

Modern fuels are an important enabler of social and economic development. Still, over 2 billion people rely on traditional biomass for their daily energy needs. To overcome the negative effects of traditional energy on human health and the environment and to enhance the livelihood conditions of the poor, a transition towards cleaner and more efficient forms of energy is needed. Understanding household fuel choice and fuel switching behaviour is of vital importance in search for policies to support such a transition process. This paper adds to the existing energy transition literature in two ways. First, we provide a novel conceptual framework to analyze the decision environment underlying energy and fuel choices. Second, we apply this framework in a meta-analysis of existing choice models investigating energy switching and stacking behaviour in urban and rural areas in developing countries. The meta-analysis shows that socio-economic household characteristics appear to receive most attention so far in identifying groups of fuel users, while relatively little information is available on the impact of the external decision context on household energy choices. © 2012 Elsevier Ltd.

Abstract The primary focus of this study is to empirically investigate the natural gas consumption-economic growth nexus in Iran, while incorporating real gross fixed capital formation (GFCF) and the role of oil revenue (OR) as additional variables to make it a multivariate framework in order to avoid possible omission variable bias in the estimations. To this end, quarterly frequency data from 1990Q1 to 2017Q4. Structural break point unit root test like Zivot and Andrews is employed and complemented with traditional non-stationarity tests such as Augmented Dickey Fuller and Phillips and Perron unit tests to investigate the interest variables stationarity characteristics. Recently developed Bayer and Hanck (2013) combined cointegration test is used alongside the Pesaran et al. (2001) bounds testing cointegration to test for long-run relationship among the variables. Finally, we test for causal relationships through Modified Wald test of Tada-Yamamoto (1995) Granger causality tests is employed. Empirical findings show cointegration relationship between the variables while accounting for structural break. Further piece of empirical results suggest that natural gas consumption exerts a significant positive impact on economic output in Iran, and also that there is a one-way causality from natural gas consumption to economic output. Thus, our study corroborates the natural gas-led growth hypothesis; being natural gas consumption a suitable alternative, as a complementary green energy source (IGU, 2015). One important conclusion reached in our study is that there is need for energy portfolio diversification in Iran in order to attain full gains from the energy sector, reducing other energies' emissions. Further insights are elucidated in the main text. Our findings provide policymakers useful insight into the state of the energy sector in Iran.

Most households in sub-Saharan Africa rely on wood-based cooking fuels and their number is expected to rise. Despite this, national and subnational energy policies often neglect biomass cooking fuels. A Formative Scenario Analysis process is applied to show how the cooking fuel sector in Kilimanjaro Region (Tanzania) and Kitui County (Kenya) might evolve by 2030. In order to provide relevant knowledge for potential energy policies, this paper aims to identify the main drivers impacting the cooking fuel sector, and to assess and explore current and future demand and supply potential of biomass cooking fuels. Our results show that policies have the potential to substantially impact the future mix of cooking fuels and to foster or hamper the use of efficient cooking fuel technologies. Half of Kilimanjaro Region’s households could be supplied with biogas; in Kitui County, wood-based cooking fuels is likely to remain dominant but improving the efficiency of the technologies would reduce the demand for wood considerably. Hence, we argue that energy policies should explicitly consider biomass cooking fuels and endeavour to make this sector more sustainable and that priority should be given to increasing the sustainability of the biomass cooking fuel sector. Key leverage points to do so are improving the access to improved biomass technologies and capacity building.

This special issue is built around a series of impact assessments of land use policies and sustainable development in developing countries, carried out in the EU-funded project LUPIS (Sixth framework programme, Global Change and Ecosystems, Contract 36955). The project targeted at the development and testing of impact assessment tools of land-use-related policies in seven developing countries: Brazil, India, China, Indonesia, Kenya, Mali and Tunisia. This issue presents the current understanding of ex-ante assessment and includes contributions with comparative work across several countries, and case studies in individual countries, addressing important land-use related concerns.

This paper estimates the level of transient and persistent efficiency in the use of electricity in Swiss households using the newly developed generalized true random effects model (GTREM). An unbalanced panel dataset of 1994 Swiss households from 2010 to 2014 collected via a household survey is used to estimate an electricity demand frontier function. We further investigate whether energy and investment literacy have an influence on the household electricity consumption. The results show significant inefficiencies in the use of electricity among Swiss households, both transient (11%) and persistent (22%). We note that the high persistent inefficiency is indicative of structural problems faced by households and systematic behavioral shortcomings in residential electricity consumption. These results indicate a considerable potential for electricity savings and thus reaching the reduction targets defined by the Swiss federal council as part of the Energy Strategy 2050, wherein end-use efficiency improvement is one of the main pillars. The results support a positive role of energy and, in particular, investment literacy in reducing household electricity consumption. Policies targeting an improvement of these attributes could help to enhance efficiency in the use of energy within households.