This book analyses the effectiveness of climate finance as political instrument to reduce the effect of anthropogenic activities on climate change and promote the green growth in developing countries.
The book highlights that close attention should also be paid to the analysis of political contexts in a broad sense. Particularly focusing on the international negotiations process that enables the direction of funds toward specific needs and priorities and the issue of access to electricity. For example, the difficulties that developing countries face when trying to improve their green economic development without access to carbon remains a matter of the utmost importance and urgency for many developing countries that lack significant aid from developed countries.
This book will be of interest to a wide body of academics and practitioners in climate change and energy policies. Moreover, this project is a valid instrument for students in energy policies and climate programs.
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1.1 Introduction and Background |
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2.2 Natural Greenhouse Effect |
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2.4 Enhanced Greenhouse Effect |
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2.5 Adaptation and Mitigation |
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3.1 From Rio de Janeiro to Marrakech: a Brief Summary |
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3.3 The Framework to Assess the Climate Action |
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3.4 Analysis of Flow of Funds from Donors to Recipients Countries |
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3.4.1 Commitment vs. Disbursement |
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3.4.2 Geographical Distribution of Climate Funds |
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3.4.3 Disbursement and GHG Emissions |
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4 Assessing the Effectiveness of Climate Finance: Composite Indicators and Quantile Regression |
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4.2 Composite Indicator: An Introduction |
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4.2.1 A Composite Indicator for GHG Emissions: The Environmental Pollution Index |
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4.3 Quantile Regression with Cluster Data |
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5 Empirical Study of Climate Finance |
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5.3 A Composite Indicator for Environmental Performance |
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5.4 Distribution of Climate Funds: A Way to Combat Environmental Degradation? |
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6 Conclusions and Policy Implications |
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Plots and Quantile Regression Using R and Stata Commands |
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Giuseppe Scandurra is Associate Professor in Economic Statistics at the Department of Business and Quantitative Studies of the University of Naples Parthenope. He holds a B.S in International Economics and Ph.D. in Spatial Statistics from the same university.
Main research topics are related to energy policies and energy economics. He has published several papers in international refereed academic journals and book chapters in edited volumes; moreover, he has presented papers in several international conferences and workshops.
He is member of the Editorial Board of the International Journal of Economics and Finance and of the International Journal of Applied Statistics and Econometrics. He is also referee for several international academic journals in the area of energy economics, energy policies and applied statistics. He was member of the Advisory Board for the International Conference on Energy Economics and organized by Nevsehir University (Turkey).He also participates as a member in research projects and studies for national and international organizations.
Antonio Angelo Romano is Professor of Economic Statistics at the University of Napl
es Parthenope. After graduating in engineering, he continued with the free profession. Few years later he began his academic career. Currently he holds courses in data mining and economic statistics and he has also taught master and higher education schools.
In the first phase of his research he has focused on data quality and production, achieving significant results. Over the last years the research has moved on renewable energy and the impact of policies supporting this sector.
He is author of published in international academic journals. He has published several papers in international conferences and journals, and coordinated and/or participated in several research projects.
Alfonso Carfora is an official in the Economics and Statistics Research Officer of the Italian Revenue Agency. He was Research Fellow at the Department of Business and Quantitative Studies of the University of Naples Parthenope. He holds a B.S in International Economics, a Ph.D. in Spatial Statistics and a master degree in Applied Econometrics. Several papers published in international refereed journals or presented in international conferences related to: analysis of binary time series, business cycles; forecasting; tax evasion and compliance, taxpayers behavior, income distribution.
Monica Ronghi is a Research Fellow at the Department of Business and Quantitative Studies of the University of Naples Parthenope. She holds a B.S in International Economics and a Ph.D. in Statistics and quality of economic data with a thesis titled "Forecasting and simulation models. Application areas and potential synergies" that investigated possible synergies between econometric models and SystemDynamics simulation model. Fields of Interest: Energy, Environmental Economics and Policy, Climate Change and Renewable Energy.
