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This book is open access under a CC BY 4.0 license. This book examines how China can increase the share of natural gas in its energy system. China’s energy strategy has global ramifications and impact, and central to this strategy is the country’s transition from coal to gas. The book presents the culmination of a two-year collaboration between the Development Research Center of the State Council (DRC) and Shell. With the Chinese government’s strategic aim to increase the share of gas in the energy mix from 5.8% in 2014 to 10% and 15% in 2020 and 2030 respectively, the book outlines how China can achieve its gas targets. Providing both quantifiable metrics and policy measures for the transition, it is a much needed addition to the literature on Chinese energy policy. The research and the resulting recommendations of this study have fed directly into the Chinese government’s 13th Five-Year Plan, and provide unique insights into the Chinese government and policy-making. Due to its global impact, the book is a valuable resource for policy makers in both China and the rest of the world.
This book is designed to provide the economic skills to make better management or policy decisions relating to energy. It requires a knowledge of calculus and contains a toolbox of models along with institutional, technological and historical information for oil, coal, electricity, and renewable energy resources.
India's gas sector is changing due to the development of domestic supply, the transition of the Indian economy, and global developments such as the increasing availability of LNG and new policy agendas on climate change. This book examines supply and demand, policy and pricing, and the future role of gas within the energy sector as India develops
A volume on the pricing of gas in international trade. Gas accounts for around 25% of global energy demand and international gas trade is growing rapidly. The book covers the development of international gas pricing in all regions of the world where gas is traded, and considers whether gas could become a global market.
This paper investigates the response of consumer price inflation to changes in domestic fuel prices, looking at the different categories of the overall consumer price index (CPI). We then combine household survey data with the CPI components to construct a CPI index for the poorest and richest income quintiles with the view to assess the distributional impact of the pass-through. To undertake this analysis, the paper provides an update to the Global Monthly Retail Fuel Price Database, expanding the product coverage to premium and regular fuels, the time dimension to December 2020, and the sample to 190 countries. Three key findings stand out. First, the response of inflation to gasoline price shocks is smaller, but more persistent and broad-based in developing economies than in advanced economies. Second, we show that past studies using crude oil prices instead of retail fuel prices to estimate the pass-through to inflation significantly underestimate it. Third, while the purchasing power of all households declines as fuel prices increase, the distributional impact is progressive. But the progressivity phases out within 6 months after the shock in advanced economies, whereas it persists beyond a year in developing countries.
Energy taxes can produce substantial environmental and revenue benefits and are an important component of countries’ fiscal systems. Although the principle that these taxes should reflect global warming, air pollution, road congestion, and other adverse environmental impacts of energy use is well established, there has been little previous work providing guidance on how countries can put this principle into practice. This book develops a practical methodology, and associated tools, to show how the major environmental damages from energy can be quantified for different countries and used to design the efficient set of energy taxes.
Quantitative models are omnipresent –but often controversially discussed– in todays risk management practice. New regulations, innovative financial products, and advances in valuation techniques provide a continuous flow of challenging problems for financial engineers and risk managers alike. Designing a sound stochastic model requires finding a careful balance between parsimonious model assumptions, mathematical viability, and interpretability of the output. Moreover, data requirements and the end-user training are to be considered as well. The KPMG Center of Excellence in Risk Management conference Risk Management Reloaded and this proceedings volume contribute to bridging the gap between academia –providing methodological advances– and practice –having a firm understanding of the economic conditions in which a given model is used. Discussed fields of application range from asset management, credit risk, and energy to risk management issues in insurance. Methodologically, dependence modeling, multiple-curve interest rate-models, and model risk are addressed. Finally, regulatory developments and possible limits of mathematical modeling are discussed.