Lyubov A Kurkalova

Research Interests

Lyubov (Luba) Kurkalova is interested both in (a) analyzing the impacts of policy and economic factors on forest and agricultural land use, production, and the environment, and in (b) developing the tools - spatially explicit models and econometric techniques - for such analyses. Her research program has received over $9.8 million in extramural funding from USDOE, NSF, and USDA. Dr. Kurkalova has published her research in multiple peer-reviewed journals including Energy Economics, Journal and Soil and Water Conservation, Environmental Modeling and Software, Biomass and Bioenergy, and Environmental Management.

External URL

https://orcid.org/0000-0002-8873-3908

Recent Publications

• Mulrooney, T.J., Liang, C.L., Kurkalova, L.A., McGinn, C., & Okoli, C. (2023). Quantitatively defining and mapping rural: A case study of North Carolina. Journal of Rural Studies, 97, 47-56, https://doi.org/10.1016/j.jrurstud.2022.11.011
• Azubike, C.S., Kurkalova, L.A., & Mulrooney, T.J. (2022). A comparison of raster-based forest land data in Crop Data Layer and National Land Cover Database. Forests, 13(7), 1023, https://doi.org/10.3390/f13071023
• Gebrehiwot, A.A., Hashemi-Beni, L., Kurkalova, L.A., Liang, C.L., & Jha, M.K. (2022). Using ABM to study the potential of land use change for mitigation of food deserts. Sustainability, 14, 9715, https://doi.org/10.3390/su14159715
• Liang, C.-L., Mooney, S., Kurkalova, L.A., Roper, D.K., & Hashemi Beni, L. (2021). Best practices and lessons learned in grant writing for agricultural and applied economists to engage in interdisciplinary studies. Applied Economics Teaching Resources, 3(2), 1-18, https://doi.org/10.22004/ag.econ.312078
• Bostian, M.B., Kurkalova, L.A., Barnhart, B.L., Jha, M.K., & Whittaker, G.W. (2021). Bilevel optimization of conservation practices for agricultural production. Journal of Cleaner Production, 300, 126874, https://doi.org/10.1016/j.jclepro.2021.126874
• Hashemi-Beni, L., Kurkalova, L.A., Mulrooney, T.J., & Azubike, C.S. (2021). Combining multiple geospatial data for estimating above ground biomass in North Carolina forests. Remote Sensing, 13(14), 2731, https://doi.org/10.3390/rs13142731
• Liang, C.-L., Kurkalova, L.A., Mulrooney, T., Jha, M., Hashemi Beni, L., Monty, G., & Miao, H. (2021). Introducing the innovative design to examine human-environment dynamics of food deserts. Journal of Agriculture, Food Systems, and Community Development, 10(2), 123-133. https://doi.org/10.5304/jafscd.2021.102.037
• Mulrooney, T.J., Foster, R., Liang, C.L., Miao, H., Jha, M., Hashemi-Beni, L., Monty, G., & Kurkalova, L.A. (2021). Using geospatial networking tools to optimize source locations as applied to the study of food availability: A study in Guilford County, North Carolina. Applied Geography, 128, 102415, https://doi.org/10.1016/j.apgeog.2021.102415
• Tran, D. Q., & Kurkalova, L. A. (2019). Persistence in tillage decisions: Aggregate data analysis. International Soil and Water Conservation Research, 7(2), 109-118, https://doi.org/10.1016/j.iswcr.2019.03.002  
• Kurkalova, L. A., & Tran, D. Q. (2018). Impact of stover collection on Iowa land use. In Land Allocation for Biomass Crops (pp. 145-157). Springer, Cham. (https://www.springer.com/us/book/9783319745350)
• Kurkalova, L. A., & Tran, D. Q. (2017). Is the use of no-till continuous or rotational? Quantifying tillage dynamics from time-ordered spatially aggregated data. Journal of Soil and Water Conservation, 72(2), 131-138, http://dx.doi.org/10.2489/jswc.72.2.131
• Kurkalova, L. A., & Carter, L. (2017). Sustainable production: Using simulation modeling to identify the benefits of green information systems. Decision Support Systems, 96, 83-91, https://doi.org/10.1016/j.dss.2017.02.006
• Boakye-Boaten, N. A., Kurkalova, L., Xiu, S., & Shahbazi, A. (2017). Techno-economic analysis for the biochemical conversion of Miscanthus x giganteus into bioethanol. Biomass and Bioenergy, 98, 85-94, http://dx.doi.org/10.1016/j.biombioe.2017.01.017
• Wade, T., Kurkalova, L., & Secchi, S. (2016). Modeling field-level conservation tillage adoption with aggregate choice data. Journal of Agricultural and Resource Economics, 266-285, https://www.jstor.org/stable/44131338