What is he best known for?
The fields of study he is best known for:
- Microeconomics
- Law
- Finance
His primary areas of investigation include Industrial organization, Microeconomics, Competition, Investment and Restructuring.
His studies deal with areas such as Electricity retailing, Electricity market and Commerce as well as Industrial organization.
His Electricity market study incorporates themes from Factor market, Marginal cost and Supply.
His Natural monopoly study, which is part of a larger body of work in Microeconomics, is frequently linked to Competitor analysis, Oil-storage trade and Voluntary participation, bridging the gap between disciplines.
His Competition research is multidisciplinary, incorporating elements of Liberalization and Vertical integration.
His Investment research integrates issues from Quality, Revenue, Finance and Incentive.
His most cited work include:
- Competition in the British Electricity Spot Market (1136 citations)
- Preemptive Patenting and the Persistence of Monopoly (1054 citations)
- The Theory of Commodity Price Stabilization: A Study in the Economics of Risk (516 citations)
What are the main themes of his work throughout his whole career to date?
David M. Newbery mostly deals with Microeconomics, Industrial organization, Investment, Market economy and Competition.
David M. Newbery combines topics linked to Welfare with his work on Microeconomics.
His Industrial organization research incorporates themes from Incentive and Electricity market.
His research in Investment intersects with topics in Cost–benefit analysis, Subsidy, Finance, Natural resource economics and Environmental economics.
Market economy and Electricity retailing are commonly linked in his work.
His Competition research incorporates elements of Restructuring, Marginal cost, Vertical integration, Liberalization and Supply.
He most often published in these fields:
- Microeconomics (26.63%)
- Industrial organization (26.11%)
- Investment (25.07%)
What were the highlights of his more recent work (between 2015-2021)?
- Investment (25.07%)
- Carbon price (11.49%)
- Subsidy (8.36%)
In recent papers he was focusing on the following fields of study:
His main research concerns Investment, Carbon price, Subsidy, Carbon tax and Cost–benefit analysis.
His Investment research is multidisciplinary, relying on both Finance, Spare part, Private finance initiative, Capital cost and Natural resource economics.
David M. Newbery combines subjects such as Economy, Variable cost, Industrial organization and Learning-by-doing with his study of Subsidy.
His Industrial organization research includes elements of Competition, Microeconomics, Market failure and Commerce.
His studies deal with areas such as General equilibrium theory and Econometrics as well as Cost–benefit analysis.
His study in the field of Electricity retailing also crosses realms of Trilemma.
Between 2015 and 2021, his most popular works were:
- Missing Money and Missing Markets: Reliability, Capacity Auctions and Interconnectors (97 citations)
- The benefits of integrating European electricity markets (82 citations)
- The benefits of integrating European electricity markets (82 citations)
In his most recent research, the most cited papers focused on:
- Law
- Microeconomics
- Finance
David M. Newbery mainly investigates Industrial organization, Subsidy, Investment, Electricity market and Value.
David M. Newbery has included themes like Microeconomics, Monopoly and Commerce in his Industrial organization study.
His Microeconomics study integrates concerns from other disciplines, such as Distributed generation and Risk management.
His work carried out in the field of Subsidy brings together such families of science as Battery and Competition.
The study incorporates disciplines such as Cost–benefit analysis, Natural resource economics and Learning-by-doing in addition to Investment.
David M. Newbery works mostly in the field of Electricity market, limiting it down to topics relating to Market economy and, in certain cases, Energy transition, Energy policy and Quality, as a part of the same area of interest.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
