Resources and Environmental Economics (REE) (ISSN:2630-4457) is an international peer-reviewed journal to discuss, analyze and evaluate the trend of resources economics and environmental economics. With the deterioration of resource shortage and polluted environment, this journal encourages to apply economic theory and method to natural issues. Submissions of original research, review article, commentary, perspective, opinion, as well as critical article in the field addressed would all be welcomed.

Topics of interest include, but are not limited to, the following:
--Resources economics
--Environmental economics
--Sustainable development
--Policy formulation, impact and response
--Management strategies
--Environmental quality indicators
--Modelling and simulation
--Renewable energy commercialization
--Environmental certification and audit

Vol 3 No 1 (2021)

Published: 2021-01-11

Abstract views: 403   PDF downloads: 108  

Page 229-238

Why is pollution embodied in Guangdong exports declining? The roles of trading scale, technology and structural changes

blankpage LongNi Liang, MingXu Wang, WeastSiu Siu

From 2007 to 2017, Guangdong exports grew at an average rate of 9.6%, while the energy consumption and carbon emission embodied in these trades demonstrated a declining trend. Is total real pollution embodied in exports showing the same trend? If so, what accounts for these changes? Prior studies have provided three explanations, producing greater amount of goods (“the scale effect”), adopting cleaner technologies in production processes (“the technology effect”), and producing proportionally more goods that are environmental-friendly (“the structural effect”). Question then arises as which factor is the driving force of such cleanup in the export business? To answer these questions, an EIO-LMDI (Environmental Input-Output and Logarithmic Mean Divisia Index) model is built to conduct a structural decomposition analysis of pollution embodied in Guangdong exports. We calculate that the pollution embodied in Guangdong export fell by 63 to 85 percent, depending on the pollutants. We further conclude that these pollution reductions are primarily driven by the technology advancement, with some industries, including the clothing industry, communications, computers and other electronic equipment, being more sensitive to the changes in technologies than others. The structural effect is more ambiguous. It only contributes to pollution reduction when the industry itself is pollution intensive.

Abstract views: 497   PDF downloads: 109  

Page 218-228

Evaluating net benefits of electricity generating technologies

blankpage Nisal Herath

Typically, the Levelized Cost of Electricity (LCOE) has been used to compare different electricity generation technologies. As LCOE does not account for intermittency and reliability, the updated net benefits methodology has been used. For various electricity generation technologies, with the use of the updated net benefits methodology, the net benefits of avoided emissions benefits, avoided energy cost benefits, avoided capacity cost benefits, energy costs, capacity costs and other costs at a per MW per year basis have been calculated. The results showed that nuclear generation had the highest net benefits in all of the scenarios considered. The net benefits of solar and wind generation increase when high coal and natural gas fuel price and with technological improvement which would increase the capacity factor and decrease the capital costs. Renewable and nuclear generation sources should play a significant role in the future electricity generation mix.

Abstract views: 309   PDF downloads: 87  

Page 239-244

SDGs and the engagement of EU citizens: The role of behavioral science in the energy transition

blankpage Manuela Amadori, Mariano Votta

The EU’s ambitious targets to increase energy efficiency and cope with the challenge of climate change have pushed several stakeholders, including public authorities and Distributed System Operators (DSOs), to actively invest in the energy transition and improve energy efficiency. Although a significant part of this investment concerns digital infrastructure (i.e., smart meters) allowing citizens to monitor and better manage their consumption of energy, it is pivotal to recognize the necessity for changes in the overall energy-related behavior of consumers. Against this background, the NUDGE project seeks to first analyze the behavior of European citizens with concern the energy consumption and to consequently design and test nudging interventions on different segments of the population, in the hope to derive recommendations tailored to each country and to design more general policies at European level. Hence, pilot projects will be carried out in households, energy communities, and schools in five different EU countries, while a general profiling survey will be disseminated online across the EU. Indeed, in order to profile users and assess the impact of an intervention, NUDGE takes a mixed approach which combines field experiments and randomized control trials with surveys, on-site observations, and reports. The latter provide additional insights to the psychological and contextual variables that result in the behaviors evidenced in the trials. Fundamental to this research is the collaboration of the consortium’s partner Cittadinanzattiva-Active Citizenship Network with a number of civic and consumer organizations of different European countries that have shown their interest in the initiative and will collaborate in the dissemination of the online questionnaire in their country. Overall, this project is carried out with the ambition to of raising awareness of the projects’ major outcomes among the European institutions, starting from the Inter-Institutional Group “SDG’s for well-being and consumers’ protection,” which was launched at European level in February 2021 with the support of various Members of the European Parliament and the endorsement of 48 European and National Associations.

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Muammer Kaya-photo  ISSN: 2630-4457
 Editor-in-Chief: Prof. Muammer Kaya(Turkey)
 Publishing Frequency: Bi-annual
 Article Processing Charges (APC):
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 Publishing Model:
Open Access