Andres Susaeta

Personal Details

First Name:	Andres
Middle Name:
Last Name:	Susaeta
Suffix:
RePEc Short-ID:	psu678
	[This author has chosen not to make the email address public]

Affiliation

Departments of Applied Economics
Oregon State University

Corvallis, Oregon (United States)
http://appliedecon.oregonstate.edu/
RePEc:edi:daorsus (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Oluoch, Sydney & Lal, Pankaj & Susaeta, Andres & Wolde, Bernabas, 2021. "Public preferences for renewable energy options: A choice experiment in Kenya," Energy Economics, Elsevier, vol. 98(C).

   Cited by:

   1. Faulques, Martin & Bonnet, Jean & Bourdin, Sébastien & Juge, Marine & Pigeon, Jonas & Richard, Charlotte, 2022. "Generational effect and territorial distributive justice, the two main drivers for willingness to pay for renewable energies," Energy Policy, Elsevier, vol. 168(C).
      • Martin Faulques & Jean Bonnet & Sébastien Bourdin & Marine Juge & Jonas Pigeon & Charlotte Richard, 2022. "Generational effect and territorial distributive justice, the two main drivers for willingness to pay for renewable energies," Post-Print hal-03775275, HAL.
      • Martin FAULQUES & Jean BONNET & Sébastien BOURDIN & Marine JUGE & Jonas PIGEON & Charlotte RICHARD, 2021. "Generational effect and territorial distributive justice, the two main drivers for willingness to pay for renewable energies," Economics Working Paper Archive (University of Rennes & University of Caen) 2021-01, Center for Research in Economics and Management (CREM), University of Rennes, University of Caen and CNRS.
   2. Zhang, Zhiying & Liao, Huchang & Tang, Anbin, 2022. "Renewable energy portfolio optimization with public participation under uncertainty: A hybrid multi-attribute multi-objective decision-making method," Applied Energy, Elsevier, vol. 307(C).
   3. Dugstad, Anders & Brouwer, Roy & Grimsrud, Kristine & Kipperberg, Gorm & Lindhjem, Henrik & Navrud, Ståle, 2024. "Nature is ours! – Psychological ownership and preferences for wind energy," Energy Economics, Elsevier, vol. 129(C).
   4. Almulhim, Abdulaziz I., 2022. "Understanding public awareness and attitudes toward renewable energy resources in Saudi Arabia," Renewable Energy, Elsevier, vol. 192(C), pages 572-582.

2. Gong, Peichen & Susaeta, Andres, 2020. "Impacts of forest tax under timber price uncertainty," Forest Policy and Economics, Elsevier, vol. 111(C).

   Cited by:

   1. Daigneault, Adam J. & Sohngen, Brent L. & Sedjo, Roger, 2020. "Carbon and market effects of U.S. forest taxation policy," Ecological Economics, Elsevier, vol. 178(C).

3. Susaeta, Andres, 2020. "Implications of future risk of fusiform rust on optimal forest management of even-aged slash pine plantations," Forest Policy and Economics, Elsevier, vol. 116(C).

   Cited by:

   1. Chang, Sun Joseph, 2020. "Twenty one years after the publication of the generalized Faustmann formula," Forest Policy and Economics, Elsevier, vol. 118(C).

4. Susaeta, Andres & Sancewich, Brian & Adams, Damian & Moreno, Paulo C., 2019. "Ecosystem Services Production Efficiency of Longleaf Pine Under Changing Weather Conditions," Ecological Economics, Elsevier, vol. 156(C), pages 24-34.

   Cited by:

   1. Susaeta, Andres & Sancewich, Brian & Klizentyte, Kotryna & Soto, Jose & Joshi, Omkar, 2024. "Profit efficiency in the provision of ecosystem services in the Cross Timbers forests," Land Use Policy, Elsevier, vol. 136(C).

5. Susaeta, Andres, 2018. "On Pressler’s indicator rate formula under the generalized Reed model," Journal of Forest Economics, Elsevier, vol. 30(C), pages 32-37.

   Cited by:

   1. Chang, Sun Joseph, 2020. "Twenty one years after the publication of the generalized Faustmann formula," Forest Policy and Economics, Elsevier, vol. 118(C).

6. Susaeta, Andres & Adams, Damian C. & Gonzalez-Benecke, Carlos, 2017. "Economic vulnerability of southern US slash pine forests to climate change," Journal of Forest Economics, Elsevier, vol. 28(C), pages 18-32.

   Cited by:

   1. Henderson, Jesse D. & Parajuli, Rajan & Abt, Robert C., 2020. "Biological and market responses of pine forests in the US Southeast to carbon fertilization," Ecological Economics, Elsevier, vol. 169(C).

7. Susaeta, Andres & Chang, Sun Joseph & Carter, Douglas R. & Lal, Pankaj, 2014. "Economics of carbon sequestration under fluctuating economic environment, forest management and technological changes: An application to forest stands in the southern United States," Journal of Forest Economics, Elsevier, vol. 20(1), pages 47-64.

   Cited by:

   1. Loisel, Patrice, 2020. "Under the risk of destructive event, are there differences between timber income based and carbon sequestration based silviculture?," Forest Policy and Economics, Elsevier, vol. 120(C).
   2. Chang, Sun Joseph, 2018. "Forest property taxation under the generalized Faustmann formula," Forest Policy and Economics, Elsevier, vol. 88(C), pages 38-45.
   3. Moeller, Jonas C. & Susaeta, Andres & Deegen, Peter & Sharma, Ajay, 2024. "Profitability analysis of southern plantations through timber alone or timber and carbon integration in pine-sweetgum mixes," Forest Policy and Economics, Elsevier, vol. 161(C).
   4. Ekholm, Tommi, 2020. "Optimal forest rotation under carbon pricing and forest damage risk," Forest Policy and Economics, Elsevier, vol. 115(C).
   5. Patrice Loisel & Guillerme Duvillié & Denis Barbeau & Brigitte Charnomordic, 2019. "EvaSylv: A user-friendly software to evaluate forestry scenarii including natural risk," Working Papers hal-02282504, HAL.
      • Patrice Loisel & Guillerme Duvilli'e & Denis Barbeau & Brigitte Charnomordic, 2019. "EvaSylv: A user-friendly software to evaluate forestry scenarii including natural risk," Papers 1909.07288, arXiv.org.
   6. Nguyen, Trung Thanh & Nghiem, Nhung, 2016. "Optimal forest rotation for carbon sequestration and biodiversity conservation by farm income levels," Forest Policy and Economics, Elsevier, vol. 73(C), pages 185-194.
   7. Chang, Sun Joseph, 2020. "Twenty one years after the publication of the generalized Faustmann formula," Forest Policy and Economics, Elsevier, vol. 118(C).
   8. Tommi Ekholm, 2015. "Optimal forest rotation age under efficient climate change mitigation," Papers 1505.05669, arXiv.org, revised Oct 2015.
   9. Susaeta, Andres & Carney, Tyler, 2023. "Optimal regimes of prescribed burning in forest plantations in the presence of risk of wildfires in the southeastern United States," Forest Policy and Economics, Elsevier, vol. 151(C).
   10. Ekholm, Tommi, 2016. "Optimal forest rotation age under efficient climate change mitigation," Forest Policy and Economics, Elsevier, vol. 62(C), pages 62-68.
   11. Susaeta, Andres & Adams, Damian C. & Gonzalez-Benecke, Carlos, 2017. "Economic vulnerability of southern US slash pine forests to climate change," Journal of Forest Economics, Elsevier, vol. 28(C), pages 18-32.

8. Susaeta, Andres & Carter, Douglas R. & Adams, Damian C., 2014. "Impacts of Climate Change on Economics of Forestry and Adaptation Strategies in the Southern United States," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 46(2), pages 1-16, May.
   • Susaeta, Andres & Carter, Douglas R. & Adams, Damian C., 2014. "Impacts of Climate Change on Economics of Forestry and Adaptation Strategies in the Southern United States," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 46(2), pages 257-272, May.

   Cited by:

   1. Deegen, Peter & Matolepszy, Kai, 2015. "Economic balancing of forest management under storm risk, the case of the Ore Mountains (Germany)," Journal of Forest Economics, Elsevier, vol. 21(1), pages 1-13.
   2. Dymond, Caren Christine & Giles-Hansen, Krysta & Asante, Patrick, 2020. "The forest mitigation-adaptation nexus: Economic benefits of novel planting regimes," Forest Policy and Economics, Elsevier, vol. 113(C).
   3. Knoke, Thomas & Gosling, Elizabeth & Thom, Dominik & Chreptun, Claudia & Rammig, Anja & Seidl, Rupert, 2021. "Economic losses from natural disturbances in Norway spruce forests – A quantification using Monte-Carlo simulations," Ecological Economics, Elsevier, vol. 185(C).
   4. Halbritter, Andreas & Deegen, Peter & Susaeta, Andres, 2020. "An economic analysis of thinnings and rotation lengths in the presence of natural risks in even-aged forest stands," Forest Policy and Economics, Elsevier, vol. 118(C).
   5. Fanny Groundstroem & Sirkku Juhola, 2021. "Using systems thinking and causal loop diagrams to identify cascading climate change impacts on bioenergy supply systems," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 26(7), pages 1-48, October.
   6. Susaeta, Andres & Sancewich, Brian & Adams, Damian & Moreno, Paulo C., 2019. "Ecosystem Services Production Efficiency of Longleaf Pine Under Changing Weather Conditions," Ecological Economics, Elsevier, vol. 156(C), pages 24-34.

9. Susaeta, Andres & Lal, Pankaj & Alavalapati, Janaki & Mercer, Evan, 2011. "Random preferences towards bioenergy environmental externalities: A case study of woody biomass based electricity in the Southern United States," Energy Economics, Elsevier, vol. 33(6), pages 1111-1118.

   Cited by:

   1. Herbes, Carsten & Friege, Christian & Baldo, Davide & Mueller, Kai-Markus, 2015. "Willingness to pay lip service? Applying a neuroscience-based method to WTP for green electricity," Energy Policy, Elsevier, vol. 87(C), pages 562-572.
   2. Ladenburg, Jacob, 2014. "Dynamic properties of the preferences for renewable energy sources – A wind power experience-based approach," Energy, Elsevier, vol. 76(C), pages 542-551.
   3. Popkin, Jennifer H. & Duke, Joshua M. & Borchers, Allison M. & Ilvento, Thomas, 2013. "Social costs from proximity to hydraulic fracturing in New York State," Energy Policy, Elsevier, vol. 62(C), pages 62-69.
   4. Gianluca Grilli, 2017. "Renewable energy and willingness to pay: Evidences from a meta-analysis," ECONOMICS AND POLICY OF ENERGY AND THE ENVIRONMENT, FrancoAngeli Editore, vol. 2017(1-2), pages 253-271.
   5. Campbell, Robert M. & Venn, Tyron J. & Anderson, Nathaniel M., 2016. "Social preferences toward energy generation with woody biomass from public forests in Montana, USA," Forest Policy and Economics, Elsevier, vol. 73(C), pages 58-67.
   6. Menegaki, Angeliki, N. & Olsen, Søren Bøye & Tsagarakis, Konstantinos P., 2016. "Towards a common standard – A reporting checklist for web-based stated preference valuation surveys and a critique for mode surveys," Journal of choice modelling, Elsevier, vol. 18(C), pages 18-50.
   7. Sundt, Swantje & Rehdanz, Katrin, 2014. "Consumer's willingness to pay for green electricity: A meta-analysis of the literature," Kiel Working Papers 1931, Kiel Institute for the World Economy (IfW Kiel).
      • Sundt, Swantje & Rehdanz, Katrin, 2015. "Consumers' willingness to pay for green electricity: A meta-analysis of the literature," Energy Economics, Elsevier, vol. 51(C), pages 1-8.
   8. Ma, Chunbo & Rogers, Abbie A. & Kragt, Marit E. & Zhang, Fan & Polyakov, Maksym & Gibson, Fiona & Chalak, Morteza & Pandit, Ram & Tapsuwan, Sorada, 2015. "Consumers’ Willingness to Pay for Renewable Energy: A Meta-Regression Analysis," Working Papers 204197, University of Western Australia, School of Agricultural and Resource Economics.
      • Ma, Chunbo & Rogers, Abbie A. & Kragt, Marit E. & Zhang, Fan & Polyakov, Maksym & Gibson, Fiona & Chalak, Morteza & Pandit, Ram & Tapsuwan, Sorada, 2015. "Consumers’ willingness to pay for renewable energy: A meta-regression analysis," Resource and Energy Economics, Elsevier, vol. 42(C), pages 93-109.
   9. Ladenburg, Jacob & Lutzeyer, Sanja, 2012. "The economics of visual disamenity reductions of offshore wind farms—Review and suggestions from an emerging field," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(9), pages 6793-6802.
   10. Cerdá, Emilio & López-Otero, Xiral & Quiroga, Sonia & Soliño, Mario, 2024. "Willingness to pay for renewables: Insights from a meta-analysis of choice experiments," Energy Economics, Elsevier, vol. 130(C).
   11. Seul-Ye Lim & Seung-Hoon Yoo, 2019. "Will South Korean Residential Consumers Accept the Renewable Heat Incentive Scheme? A Stated Preference Approach," Energies, MDPI, vol. 12(10), pages 1-9, May.
   12. Oerlemans, Leon A.G. & Chan, Kai-Ying & Volschenk, Jako, 2016. "Willingness to pay for green electricity: A review of the contingent valuation literature and its sources of error," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 875-885.
   13. Alló, Maria & Loureiro, Maria L., 2014. "The role of social norms on preferences towards climate change policies: A meta-analysis," Energy Policy, Elsevier, vol. 73(C), pages 563-574.
   14. Demel, Simona & Longo, Alberto & Mariel, Petr, 2020. "Trading off visual disamenity for renewable energy: Willingness to pay for seaweed farming for energy production," Ecological Economics, Elsevier, vol. 173(C).
   15. Campbell, Robert & Venn, Tyron & Anderson, Nathaniel, 2015. "Quantifying Social Preferences toward Woody Biomass Energy Generation in Montana, USA," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205678, Agricultural and Applied Economics Association.
   16. Soon, Jan-Jan & Ahmad, Siti-Aznor, 2015. "Willingly or grudgingly? A meta-analysis on the willingness-to-pay for renewable energy use," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 877-887.
   17. Brennan, Noreen & van Rensburg, Thomas M., 2020. "Public preferences for wind farms involving electricity trade and citizen engagement in Ireland," Energy Policy, Elsevier, vol. 147(C).
   18. Brennan, Noreen & Van Rensburg, Thomas M, 2016. "Wind farm externalities and public preferences for community consultation in Ireland: A discrete choice experiments approach," Energy Policy, Elsevier, vol. 94(C), pages 355-365.
   19. Ugarte Lucas, Paula & Gamborg, Christian & Lund, Thomas Bøker, 2022. "Sustainability concerns are key to understanding public attitudes toward woody biomass for energy: A survey of Danish citizens," Renewable Energy, Elsevier, vol. 194(C), pages 181-194.
   20. Zhao, Xiaoli & Cai, Qiong & Ma, Chunbo & Hu, Yanan & Luo, Kaiyan & Li, William, 2017. "Economic evaluation of environmental externalities in China’s coal-fired power generation," Energy Policy, Elsevier, vol. 102(C), pages 307-317.
   21. Vecchiato, Daniel & Tempesta, Tiziano, 2015. "Public preferences for electricity contracts including renewable energy: A marketing analysis with choice experiments," Energy, Elsevier, vol. 88(C), pages 168-179.
   22. Martínez-Cruz, Adán L. & Núñez, Héctor M., 2021. "Tension in Mexico's energy transition: Are urban residential consumers in Aguascalientes willing to pay for renewable energy and green jobs?," Energy Policy, Elsevier, vol. 150(C).
   23. Kaenzig, Josef & Heinzle, Stefanie Lena & Wüstenhagen, Rolf, 2013. "Whatever the customer wants, the customer gets? Exploring the gap between consumer preferences and default electricity products in Germany," Energy Policy, Elsevier, vol. 53(C), pages 311-322.
   24. Mattmann, Matteo & Logar, Ivana & Brouwer, Roy, 2016. "Hydropower externalities: A meta-analysis," Energy Economics, Elsevier, vol. 57(C), pages 66-77.
   25. Bakkensen, Laura & Schuler, Paul, 2020. "A preference for power: Willingness to pay for energy reliability versus fuel type in Vietnam," Energy Policy, Elsevier, vol. 144(C).
   26. Lim, Seul-Ye & Lim, Kyoung-Min & Yoo, Seung-Hoon, 2014. "External benefits of waste-to-energy in Korea: A choice experiment study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 34(C), pages 588-595.
   27. Zhao, Xiaoli & Cai, Qiong & Li, Shujie & Ma, Chunbo, 2018. "Public preferences for biomass electricity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 95(C), pages 242-253.

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