Pankaj Lal

Personal Details

First Name:	Pankaj
Middle Name:
Last Name:	Lal
Suffix:
RePEc Short-ID:	pla896
	[This author has chosen not to make the email address public]
	http://www.montclair.edu/profilepages/view_profile.php?username=lalp

Affiliation

Montclair State University, College of Science and Mathematics

http://www.montclair.edu/csam/
Montclair NJ

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.

Working papers

1. Onil Banerjee & Martin Cicowiez & Thomas Ochuodho & Michel Masozera & Bernabas Wolde & Pankaj Lal & Sebastian Dudek & Janaki R.R. Alavalapati, 2017. "Financing the Sustainable Management of Rwanda’s Protected Areas," CEDLAS, Working Papers 0211, CEDLAS, Universidad Nacional de La Plata.

   Cited by:

   1. Jun-Ya Liu & Qun-Ji Li & Gary Sigley & Hua Quan, 2021. "How Will the Cost Change after Transformation in Public Nature-Based Attractions? A Framework and Case Study," Sustainability, MDPI, vol. 13(11), pages 1-14, June.
   2. José Alberto Lara-Pulido & Ángela Mojica & Aaron Bruner & Alejandro Guevara-Sanginés & Cecilia Simon & Felipe Vásquez-Lavin & Cristopher González-Baca & María José Infanzón, 2021. "A Business Case for Marine Protected Areas: Economic Valuation of the Reef Attributes of Cozumel Island," Sustainability, MDPI, vol. 13(8), pages 1-18, April.
   3. Banerjee, Onil & Cicowiez, Martin & Dudek, Sebastian & Masozera, Michel & Horridge, Mark & Alavalapati, Janaki, 2017. "Economic and Land Use Impacts of Rwanda’s Green Growth Strategy: An Application of the Integrated Economic-Environmental Modelling Platform," Conference papers 332870, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.

Articles

1. Wolde, Bernabas & Lal, Pankaj & Burli, Pralhad, 2017. "Forestland owners’ willingness to consider multiple ways of supplying biomass simultaneously: Implications for biofuel incentive policies," Energy Policy, Elsevier, vol. 105(C), pages 183-190.

   Cited by:

   1. Wang, Zhanwu & Wang, Zhenfeng & Tahir, Nadeem & Wang, Heng & Li, Jin & Xu, Guangyin, 2020. "Study of synergetic development in straw power supply chain: Straw price and government subsidy as incentive," Energy Policy, Elsevier, vol. 146(C).
   2. Lim, Chun Hsion & Lam, Hon Loong & Ng, Wendy Pei Qin, 2018. "A novel HAZOP approach for literature review on biomass supply chain optimisation model," Energy, Elsevier, vol. 146(C), pages 13-25.
   3. Sharma, Bijay P. & Yu, T. Edward & English, Burton C. & Boyer, Christopher N. & Larson, James A., 2020. "Impact of government subsidies on a cellulosic biofuel sector with diverse risk preferences toward feedstock uncertainty," Energy Policy, Elsevier, vol. 146(C).

2. Melissa A. Harclerode & Pankaj Lal & Michael E. Miller, 2016. "Quantifying Global Impacts to Society from the Consumption of Natural Resources during Environmental Remediation Activities," Journal of Industrial Ecology, Yale University, vol. 20(3), pages 410-422, June.

   Cited by:

   1. Reinier de Adelhart Toorop & Dirk Schoenmaker & Willem Schramade, 2024. "Decision Rules for Corporate Investment," IJFS, MDPI, vol. 12(1), pages 1-15, March.
   2. Xiyi Wang & Shuzhen Peng & Hongbo Ling & Hailiang Xu & Tingting Ma, 2019. "Do Ecosystem Service Value Increase and Environmental Quality Improve due to Large–Scale Ecological Water Conveyance in an Arid Region of China?," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
   3. Michael Kühnen & Samanthi Silva & Rüdiger Hahn, 2022. "From negative to positive sustainability performance measurement and assessment? A qualitative inquiry drawing on framing effects theory," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 1985-2001, July.

3. Lal, Pankaj & Wolde, Bernabas & Alavalapati, Janaki & Burli, Pralhad & Munsell, John, 2016. "Forestland owners' willingness to plant pine on non-forested land for woody bioenergy in Virginia," Forest Policy and Economics, Elsevier, vol. 73(C), pages 52-57.

   Cited by:

   1. Burli, Pralhad & Lal, Pankaj & Wolde, Bernabas & Jose, Shibu & Bardhan, Sougata, 2019. "Factors affecting willingness to cultivate switchgrass: Evidence from a farmer survey in Missouri," Energy Economics, Elsevier, vol. 80(C), pages 20-29.

4. 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. Chang, Sun Joseph, 2018. "Forest property taxation under the generalized Faustmann formula," Forest Policy and Economics, Elsevier, vol. 88(C), pages 38-45.
   2. 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).
   3. 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.
   4. 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.
   5. Chang, Sun Joseph, 2020. "Twenty one years after the publication of the generalized Faustmann formula," Forest Policy and Economics, Elsevier, vol. 118(C).
   6. Tommi Ekholm, 2015. "Optimal forest rotation age under efficient climate change mitigation," Papers 1505.05669, arXiv.org, revised Oct 2015.
   7. 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).
   8. 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).
   9. Ekholm, Tommi, 2020. "Optimal forest rotation under carbon pricing and forest damage risk," Forest Policy and Economics, Elsevier, vol. 115(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.

5. Pankaj Lal & Janaki Alavalapati & Evan Mercer, 2011. "Socio-economic impacts of climate change on rural United States," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 16(7), pages 819-844, October.

   Cited by:

   1. Guyadeen, Dave & Henstra, Daniel & Kaup, Shivani & Wright, Grace, 2023. "Evaluating the quality of municipal strategic plans," Evaluation and Program Planning, Elsevier, vol. 96(C).
   2. Carla Salinas & Jon Mendieta, 2013. "The cost of mitigation strategies for agricultural adaptation to global change," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(7), pages 933-941, October.
   3. Lars Y. Pomara & Danny C. Lee, 2021. "The Role of Regional Ecological Assessment in Quantifying Ecosystem Services for Forest Management," Land, MDPI, vol. 10(7), pages 1-21, July.
   4. Farhan Ali & Shaoan Huang & Roland Cheo, 2020. "Climatic Impacts on Basic Human Needs in the United States of America: A Panel Data Analysis," Sustainability, MDPI, vol. 12(4), pages 1-20, February.
   5. Junia A. Purwandani & Gilbert Michaud, 2021. "What are the drivers and barriers for green business practice adoption for SMEs?," Environment Systems and Decisions, Springer, vol. 41(4), pages 577-593, December.
   6. 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.
   7. Kristie S. Gutierrez & Catherine E. LePrevost, 2016. "Climate Justice in Rural Southeastern United States: A Review of Climate Change Impacts and Effects on Human Health," IJERPH, MDPI, vol. 13(2), pages 1-21, February.
   8. Fischer, Alexandra Paige, 2018. "Pathways of adaptation to external stressors in coastal natural-resource-dependent communities: Implications for climate change," World Development, Elsevier, vol. 108(C), pages 235-248.
   9. Maura Stephens, 2016. "Challenges for Social-Change Organizing in Rural Areas," American Journal of Economics and Sociology, Wiley Blackwell, vol. 75(3), pages 721-761, May.
   10. Carla Salinas & Jon Mendieta, 2013. "Mitigation and adaptation investments for desertification and climate change: an assessment of the socioeconomic return," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(5), pages 659-672, June.
   11. Misal, Haleema & Varela, Elsa & Voulgarakis, Apostolos & Rovithakis, Anastasios & Grillakis, Manolis & Kountouris, Yiannis, 2023. "Assessing public preferences for a wildfire mitigation policy in Crete, Greece," Forest Policy and Economics, Elsevier, vol. 153(C).
   12. Carla Salinas & Jon Mendieta, 2013. "Numerical model to assess the impact of the strategies to mitigate desertification," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(5), pages 551-566, June.
   13. Carla Salinas & Jon Mendieta, 2013. "Effectiveness of the strategies to combat land degradation and drought," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(8), pages 1269-1281, December.
   14. Navarro, Andres & Tapiador, Francisco J., 2019. "RUSEM: A numerical model for policymaking and climate applications," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
   15. Eric E. Calloway & Nadine B. Nugent & Katie L. Stern & Ashley Mueller & Amy L. Yaroch, 2022. "Lessons Learned from the 2019 Nebraska Floods: Implications for Emergency Management, Mass Care, and Food Security," IJERPH, MDPI, vol. 19(18), pages 1-17, September.
   16. J. Montag & K. Swan & K. Jenni & T. Nieman & J. Hatten & M. Mesa & D. Graves & F. Voss & M. Mastin & J. Hardiman & A. Maule, 2014. "Climate change and Yakama Nation tribal well-being," Climatic Change, Springer, vol. 124(1), pages 385-398, May.

6. 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. 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.
   7. 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).
   8. 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.
   9. 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.
   10. 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).
   11. 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.
   12. Mirzaee, Ashkan & McGarvey, Ronald G. & Aguilar, Francisco X., 2024. "Feasibility of satisfying projected biopower demands in support of decarbonization interventions: A spatially-explicit cost optimization model applied to woody biomass in the eastern US," Energy Economics, Elsevier, vol. 136(C).
   13. 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.
   14. Mattmann, Matteo & Logar, Ivana & Brouwer, Roy, 2016. "Hydropower externalities: A meta-analysis," Energy Economics, Elsevier, vol. 57(C), pages 66-77.
   15. 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).
   16. 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.
   17. 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.
   18. 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.
   19. 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.
   20. 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.
   21. 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).
   22. 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.
   23. 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.
   24. 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.
   25. 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.
   26. 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).
   27. 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.
   28. 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.

More information

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Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.

1. NEP-AFR: Africa (1) 2017-05-14
2. NEP-ENV: Environmental Economics (1) 2017-05-14

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