An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey

This study attempts to examine empirically dynamic causal relationships between carbon emissions, energy consumption, income, and foreign trade in the case of Turkey using the time series data for the period 1960-2005 This research tests the interrelationship between the variables using the bounds testing to cointegration procedure The bounds test results indicate that there exist two forms of long-run relationships between the variables In the case of first form of long-relationship, carbon emissions are determined by energy consumption, income and foreign trade In the case of second long-run relationship, income is determined by carbon emissions, energy consumption and foreign trade An augmented form of Granger causality analysis is conducted amongst the variables The long-run relationship of CO2 emissions, energy consumption, income and foreign trade equation is also checked for the parameter stability The empirical results suggest that income is the most significant variable in explaining the carbon emissions in Turkey which is followed by energy consumption and foreign trade Moreover, there exists a stable carbon emissions function The results also provide important policy recommendations

From production-based to consumption-based national emission inventories

Economic growth, trade and energy: implications for the environmental Kuznets curve

The Global Energy Assessment (GEA) brings together over 300 international researchers to provide an independent, scientifically based, integrated and policy-relevant analysis of current and emerging energy issues and options. It has been peer-reviewed anonymously by an additional 200 international experts. The GEA assesses the major global challenges for sustainable development and their linkages to energy; the technologies and resources available for providing energy services; future energy systems that address the major challenges; and the policies and other measures that are needed to realize transformational change toward sustainable energy futures. The GEA goes beyond existing studies on energy issues by presenting a comprehensive and integrated analysis of energy chalenges, opportunities and strategies, for developing, industrialized and emerging economies. This volume is a invaluable resource for energy specialists and technologists in all sectors (academia, industry and government) as well as policymakers, development economists and practitioners in international organizations and national governments.

Global Energy Assessment: Toward a Sustainable Future

The embodiment of carbon in imports of manufactured products: Implications for international agreements on greenhouse gas emissions

Index numbers have been used to decompose aggregate trends in energy intensity, i.e., the ratio of energy use to activity. By making a direct appeal to the theory underlying price index numbers used by the energy decomposition literature, this note proposes the chain weighted Fisher Ideal Index as a formula that solves the `residual problem.' The connection to index number theory also allows us to illustrate that the measures of activity used to define energy intensity need not be additive across the sectors that are involved in the decomposition. We give an empirical example using recent U.S. manufacturing data of the Fisher Ideal Index, compared to the Tornqvist Divisia index, a popular index in the energy literature.

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A Note on the Fisher Ideal Index Decomposition for Structural Change in Energy Intensity

Measuring industrial energy intensity: practical issues and problems

Distributed energy resources (DER) have been promoted as the least-cost approach to meeting steadily increasing energy demand. However, it is unclear whether DER deployment can maintain or improve the electric power supply reliability and quality currently available to consumers. This report addresses two key factors relating to this question: 1) characteristics of existing power supply reliability, and 2) costs resulting from supply interruptions characteristic of the existing power grid. Interruption cost data collected by the University of Saskatchewan was used in conjunction with data generated by the United States Department of Energy’s Annual Survey of Manufacturers, along with industry shares of gross domestic product (GDP) and gross output to derive interruption cost estimates for U.S. industries at the 2-digit Standard Industrial Classification (SIC) level. Interruption cost estimates are presented as a function of outage duration (e.g., 20 minutes, 1-hour, 3-hour), and are normalized in terms of dollars per peak kW.

/pdf/electric-power-interruption-cost-estimates-for-individual-3tbbgng4tx.pdf

Joseph M. Roop

Papers

The embodiment of carbon in imports of manufactured products: Implications for international agreements on greenhouse gas emissions

A Note on the Fisher Ideal Index Decomposition for Structural Change in Energy Intensity

Measuring industrial energy intensity: practical issues and problems

Electric Power Interruption Cost Estimates for Individual Industries, Sectors, and the U.S. Economy

Modeling of industrial energy consumption: An introduction and context