Nurcan Kilinc‐Ata
Economics and Econometrics · 2016
A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Economics and Econometrics — 32 citations into it; #22,358 of 23,481 by trust here, #18,597 by citations
- Renewable Energy, Sustainability and the Environment — 16 citations into it
- Electrical and Electronic Engineering — 11 citations into it
- Sociology and Political Science — 7 citations into it
- Pollution — 6 citations into it; #1,679 of 1,888 by trust here, #1,623 by citations
- Global and Planetary Change — 5 citations into it
Whom Nurcan Kilinc‐Ata trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Sanya Carley
- Magali A. Delmas
- A. Marques
- Steffen Jenner
- María J. Montes-Sancho
- J. Fuinhas
- B. Rabe
- C. Dong
- R. Schmalensee
- Leah Stokes
Who trusts Nurcan Kilinc‐Ata overall
Papers from Nurcan Kilinc‐Ata's perspective
Ordered by how strongly the researchers Nurcan Kilinc‐Ata trusts endorse each paper. Same corpus, a different order for every researcher.
- Why Do States Adopt Renewable Portfolio Standards?: An Empirical Investigation
- An analysis of feed-in tariff remuneration models: Implications for renewable energy investment
- State Renewable Energy Electricity Policies: An Empirical Evaluation of Effectiveness
- Deregulation and environmental differentiation in the electric utility industry
- US State Policies for Renewable Energy: Context and Effectiveness
- States on Steroids: The Intergovernmental Odyssey of American Climate Policy
- The impact of wind generation on the electricity spot-market price level and variance: The Texas experience
- Evaluating Policies to Increase Electricity Generation from Renewable Energy (Review of Environmental Economics and Policy)
- Feed-in tariff vs. renewable portfolio standard: An empirical test of their relative effectiveness in promoting wind capacity development
- Motivations driving renewable energy in European countries: A panel data approach