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Environmental Economics and Policy Analysis
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Environmental Economics and Policy Analysis

A special issue of Energies (ISSN 1996-1073). This special issue belongs to the section "B: Energy and Environment".

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 9438

Special Issue Editor

Dr. Dileep K. Birur

E-Mail Website
Guest Editor
College of Science & Mathematics, Montclair State University, Montclair, NJ, USA
Interests: energy and environmental economics; clean and renewable energy policies; agricultural and international trade policies; computable general equilibrium (CGE) modelling

Special Issue Information

Dear Colleagues,

Since the beginning of the new millennium, energy policies have gained an unprecedented importance across the globe, as they are crucial for economic growth, national security, reducing carbon emissions to combat climate change, and environmental sustainability. The evolution of clean and renewable energy has called for a host of policy interventions such as tax credits, direct subsidies, and mandates by the national governments. The intense interest from policy makers and researchers has contributed immensely to the literature on the economic modelling of these energy policies. This Special Issue will focus on the prospects of clean and renewable energy policies in the context of the changing global economic order.

This Special Issue seeks to feature studies on the theoretical and empirical modelling of energy and environmental policies that could accelerate the sustainable transition towards clean energy economies. Contributions are expected to shed light on the challenges ahead and the policy levers that could help in the transition to clean energy given the economic consequences of the current global pandemic. This Special Issue is anticipated to elicit innovative economic and environmental analyses that help in shaping the clean and renewable energy future across the world.

Dr. Dileep K. Birur
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Energy and environmental modeling
  • Clean and renewable energy policies
  • Energy policy and climate change
  • Biofuels, solar power, and wind power
  • Computable general equilibrium (CGE) modelling
  • Partial equilibrium models
  • Applied econometric modelling
  • Spatio-economic modelling
  • Life cycle analysis
  • Pandemic (COVID-19) implications on clean energy strategies

Published Papers (4 papers)

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Research

23 pages, 2337 KiB  
Article
Partitioning for “Common but Differentiated” Precise Air Pollution Governance: A Combined Machine Learning and Spatial Econometric Approach
by Yang Yi, Le Wen and Shan He
Energies 2022, 15(9), 3346; https://doi.org/10.3390/en15093346 - 4 May 2022
Viewed by 2122
Abstract
Effective governance of air pollution requires precise identification of its influencing factors. Most existing studies attempt to identify the socioeconomic factors but lack consideration of multidimensional heterogeneous characteristics. This paper fills this long-ignored research gap by differentiating governance regions with regard to multidimensional [...] Read more.
Effective governance of air pollution requires precise identification of its influencing factors. Most existing studies attempt to identify the socioeconomic factors but lack consideration of multidimensional heterogeneous characteristics. This paper fills this long-ignored research gap by differentiating governance regions with regard to multidimensional heterogeneity characteristics. Decision tree recursive analysis combined with a spatial autoregressive model is used to identify governance factors in China. Empirical results show several interesting findings. First, geographic location, administrative level, economic zones and regional planning are the main heterogeneous features of accurate air pollution governance in Chinese cities. Second, significant influencing factors of air pollution in different delineated regions are identified, especially significant differences between coastal and non-coastal cities. Third, the trends of heterogeneity in urban air governance in China are to some extent consistent with national policies. The approach identifies factors influencing air pollution, thus providing a basis for accurate air pollution governance that has wider applicability. Full article
(This article belongs to the Special Issue Environmental Economics and Policy Analysis)
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21 pages, 1527 KiB  
Article
The Effect of the Swiss CO2 Levy on Heating Fuel Demand of Private Real Estate Owners
by Nicola Francescutto and Nicole A. Mathys
Energies 2022, 15(9), 3019; https://doi.org/10.3390/en15093019 - 20 Apr 2022
Cited by 1 | Viewed by 1795
Abstract
To effectively mitigate climate change, it is crucial to better understand the reaction of fossil-fuel demand to price and tax changes, and more precisely to climate policy instruments such as a carbon levy. The Swiss CO2 levy on heating fuels was introduced [...] Read more.
To effectively mitigate climate change, it is crucial to better understand the reaction of fossil-fuel demand to price and tax changes, and more precisely to climate policy instruments such as a carbon levy. The Swiss CO2 levy on heating fuels was introduced in 2008 at CHF 12/tCO2eq, and was increased steadily up to CHF 84/tCO2eq during the period of 2016/2017. This paper investigated the effectiveness of the levy as an instrument to reduce heating fuel demand, and hence carbon emissions, of private real estate owners. The Swiss Household Budget Survey 2006–2017 constituted the main data source. Before–after and pseudo-panel regressions were used to capture the CO2 levy’s effects, and a large set of household characteristics, as well as climatic conditions, were controlled for. No significant effects in the first two policy periods of 2008–2013 were found. Over the period of 2014–2017, a significant reduction in house owners’ heating fuel demand of up to 14% with respect to 2006–2007 was detected. The effect was less significant and smaller in magnitude for flat owners. A significant CO2 levy semielasticity of heating fuel demand of −1.3% for house owners was further estimated. Hence, the results confirmed the effectiveness of the CO2 levy under the conditions that the levy was sufficiently high, as during the years of 2014–2017, and households directly paid the levy and were responsible for decisions concerning heating and insulation, as was the case for house owners. Full article
(This article belongs to the Special Issue Environmental Economics and Policy Analysis)
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14 pages, 1184 KiB  
Article
Green Energy in Ukraine: State, Public Demands, and Trends
by Aleksandra Kuzior, Alla Lobanova and Liudmyla Kalashnikova
Energies 2021, 14(22), 7745; https://doi.org/10.3390/en14227745 - 18 Nov 2021
Cited by 17 | Viewed by 2704
Abstract
The main purpose of this paper is to analyze and address the challenges of implementing green energy in Ukraine, in particular, to identify its advantages and disadvantages. The implementation of solar renewable sources—stations, panels, and batteries—is emphasized. The results of sociological surveys of [...] Read more.
The main purpose of this paper is to analyze and address the challenges of implementing green energy in Ukraine, in particular, to identify its advantages and disadvantages. The implementation of solar renewable sources—stations, panels, and batteries—is emphasized. The results of sociological surveys of Ukrainian public opinion on environmental issues, in particular, energy issues, are presented. The existence of public demand for renewable energy and the readiness of the population to use renewable energy sources are identified. A strategy for strengthening the country’s energy independence in the face of new globalization challenges is defined. General scientific methods as well as special methods were used in this paper: statistical analysis, secondary analysis of data from sociological studies of public institutions, and desk analysis of documents and reports from public services. In this paper, it is concluded that Ukraine is geographically and territorially attractive for green energy development and investment. It is important that there is a public and state demand in the country to strengthen the country’s energy security, in particular, through the introduction of renewable energy sources. Therefore, despite drawbacks and obstacles, green energy in Ukraine has great prospects. Full article
(This article belongs to the Special Issue Environmental Economics and Policy Analysis)
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18 pages, 4154 KiB  
Article
Assessment of Switchgrass-Based Bioenergy Supply Using GIS-Based Fuzzy Logic and Network Optimization in Missouri (U.S.A.)
by Huynh Truong Gia Nguyen, Erik Lyttek, Pankaj Lal, Taylor Wieczerak and Pralhad Burli
Energies 2020, 13(17), 4516; https://doi.org/10.3390/en13174516 - 1 Sep 2020
Cited by 4 | Viewed by 1974
Abstract
Bioenergy has been globally recognized as one of the sustainable alternatives to fossil fuels. An assured supply of biomass feedstocks is a crucial bottleneck for the bioenergy industry emanating from uncertainties in land-use changes and future prices. Analytical approaches deriving from geographical information [...] Read more.
Bioenergy has been globally recognized as one of the sustainable alternatives to fossil fuels. An assured supply of biomass feedstocks is a crucial bottleneck for the bioenergy industry emanating from uncertainties in land-use changes and future prices. Analytical approaches deriving from geographical information systems (GIS)-based analysis, mathematical modeling, optimization analyses, and empirical techniques have been widely used to evaluate the potential for bioenergy feedstock. In this study, we propose a three-phase methodology integrating fuzzy logic, network optimization, and ecosystem services assessment to estimate potential bioenergy supply. The fuzzy logic analysis uses multiple spatial criteria to identify suitable biomass cultivating regions. We extract spatial information based on favorable conditions and potential constraints, such as developed urban areas and croplands. Further, the network analysis uses the road network and existing biorefineries to evaluate feedstock production locations. Our analysis extends previous studies by incorporating biodiversity and ecologically sensitive areas into the analysis, as well as incorporating ecosystem service benefits as an additional driver for adoption, ensuring that biomass cultivation will minimize the negative consequences of large-scale land-use change. We apply the concept of assessing the potential for switchgrass-based bioenergy in Missouri to the proposed methodology. Full article
(This article belongs to the Special Issue Environmental Economics and Policy Analysis)
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