Agricultural and Resource Economics - 2020

Greenland, A., Ion, M., Lopresti, J., & Schott, P. (2020). Using Equity Market Reactions to Infer Exposure to Trade Liberalization. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3649874

Edobor, E. W. (2020). Improved Technology Dissemination and Adoption in Sub-Saharan Africa: Global and Regional Food Security, Economic and Environmental Implications. 2020 Agricultural & Applied Economics Association Annual Meeting. Presented at the 2020 Agricultural & Applied Economics Association Annual Meeting, Kansas City, MO. Retrieved from https://ageconsearch.umn.edu/record/304492/files/18879.pdf

Tregeagle, D., & Wechsler, D. (2020, August 25). Report on NARBA’s 2020 Pricing and Marketing Survey. Fruit Growers News.

Goodhue, R., Mace, K., Tolhurst, T., Tregeagle, D., Wei, H., Grafton-Cardwell, B., … Steggall, J. (2020). Economic and pest management evaluation of nitroguanidine-substituted neonicotinoid insecticides: nine major California commodities. Department of Pesticide Regulation by the California Department of Food and Agricultures Office of Pesticide Consultation and Analysis and the University of California.

Tregeagle, D. (2020, December). Specialty Crops in 2020: COVID-19 and Other Challenges. NC State Economist. Retrieved from https://cals.ncsu.edu/agricultural-and-resource-economics/news/specialty-crops-in-2020-covid-19-and-other-challenges/

Wei, H., Goodhue, R., Mace, K., Rudder, J., Tolhurst, T., Tregeagle, D., … Steggall, J. (2020). Estimated Cost of the Withdrawal of the Insecticide Chlorpyrifos for Six Major California Crops. ARE Update, 23(4), 13–15.

Walden, M. L. (2020). Real solutions : common sense ideas for solving our most pressing problems. Chapel Hill, North Carolina: Wisdom House Books.

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Conducting cost-benefit analyses using scanner and label data. In Using Scanner Data for Food Policy Research (pp. 203–229). https://doi.org/10.1016/B978-0-12-814507-4.00008-0

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Estimating food demand systems using scanner data. In Using Scanner Data for Food Policy Research (pp. 141–175). https://doi.org/10.1016/B978-0-12-814507-4.00006-7

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Insights from past food research using scanner data. In Using Scanner Data for Food Policy Research (pp. 59–140). https://doi.org/10.1016/B978-0-12-814507-4.00005-5

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Methodological approaches for using scanner data. In Using Scanner Data for Food Policy Research (pp. 41–57). https://doi.org/10.1016/B978-0-12-814507-4.00004-3

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). What is scanner data and why is it useful for food policy research? In Using Scanner Data for Food Policy Research (pp. 1–12). https://doi.org/10.1016/B978-0-12-814507-4.00001-8

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Label and nutrition data at the barcode level. In Using Scanner Data for Food Policy Research (pp. 31–39). https://doi.org/10.1016/B978-0-12-814507-4.00003-1

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Measuring the food environment using scanner data. In Using Scanner Data for Food Policy Research (pp. 177–202). https://doi.org/10.1016/B978-0-12-814507-4.00007-9

Muth, M. K., Okrent, A. M., Zhen, C., & Karns, S. A. (2020). Sources of scanner data across the globe. In Using Scanner Data for Food Policy Research (pp. 13–30). https://doi.org/10.1016/B978-0-12-814507-4.00002-X

Edwards, E., & Guilfoos, T. (2020). The Economics of Groundwater Governance Institutions across the GlobeJEL codes. APPLIED ECONOMIC PERSPECTIVES AND POLICY. https://doi.org/10.1002/aepp.13088

Finch, C. E., Vann, M. C., Wells, R., Fisher, L. R., & Brown, A. B. (2020). Impacts of lower-leaf removal timing, number, and nitrogen application to flue-cured tobacco. CROP FORAGE & TURFGRASS MANAGEMENT, 6(1). https://doi.org/10.1002/cft2.20059

Goodwin, B. K., & Piggott, N. E. (2020). Has Technology Increased Agricultural Yield Risk? Evidence from the Crop Insurance Biotech Endorsement. AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS, 102(5), 1578–1597. https://doi.org/10.1002/ajae.12087

Fell, H., & Johnson, J. X. (2020). Regional disparities in emissions reduction and net trade from renewables. NATURE SUSTAINABILITY. https://doi.org/10.1038/s41893-020-00652-9

Lupi, F., Phaneuf, D. J., & Haefen, R. H. (2020). Best Practices for Implementing Recreation Demand Models. REVIEW OF ENVIRONMENTAL ECONOMICS AND POLICY, 14(2), 302–323. https://doi.org/10.1093/reep/reaa007

Berry, J., Fischer, G., & Guiteras, R. (2020). Eliciting and Utilizing Willingness to Pay: Evidence from Field Trials in Northern Ghana. Journal of Political Economy, 128(4), 1436–1473. https://doi.org/10.1086/705374

Edwards, E. C., & Leonard, B. (2020). Contracting and the Commons: Linking the Insights of Gary Libecap and Elinor Ostrom. In M. E. Jenkins, R. T. Simmons, & C. H. Harmer (Eds.), The Environmental Optimism of Elinor Ostrom (pp. 149–172). Retrieved from https://www.thecgo.org/research/the-environmental-optimism-of-elinor-ostrom/

Edwards, E. C., & Guilfoos, T. (2020). The Economics of Groundwater Governance Institutions Across the Globe (Working Paper Series No. No. 20-001). Retrieved from Center for Environmental and Resource Economic Policy website: https://cenrep.ncsu.edu/cenrep/wp-content/uploads/2020/04/Global-Groundwater-Governance.pdf

Yi, L., Duan, C., Tao, J., Huang, Y., Xing, M., Zhu, Z., … Chen, X. (2020). Disease Outbreak, Health Scare, and Distance Decay: Evidence from HPAI Shocks in Chinese Meat Sector. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 17(21). https://doi.org/10.3390/ijerph17218009

Edwards, E., Fiszbein, M., & Libecap, G. (2020). Colonial Origins, Property Rights, and the Organization of Agricultural Production: the US Midwest and Argentine Pampas Compared. https://doi.org/10.3386/w27750

Slade, R., Hazell, P., Place, F., & Renkow, M. (2020). Evaluating the impact of policy research: Evidence from the evaluation of rural policy research in developing countries. EVALUATION, 26(4), 541–561. https://doi.org/10.1177/1356389020931881

Katherine M. O'Donnell, Fackler, P. L., Johnson, F. A., Bonneau, M. N., Martin, J., & Walls, S. C. (2020). Category count models for adaptive management of metapopulations: Case study of an imperiled salamander. CONSERVATION SCIENCE AND PRACTICE, 2(4). https://doi.org/10.1111/csp2.180

Carriere, Y., Brown, Z., Aglasan, S., Dutilleul, P., Carroll, M., Head, G., … Carroll, S. P. (2020). Crop rotation mitigates impacts of corn rootworm resistance to transgenic Bt corn. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 117(31), 18385–18392. https://doi.org/10.1073/pnas.2003604117

Ge, M., Edwards, E. C., & Akhundjanov, S. B. (2020). Irrigation Investment on an American Indian Reservation. American Journal of Agricultural Economics, 102(4), 1083–1104. https://doi.org/10.1002/ajae.12077

Sanchez, L., Edwards, E. C., & Leonard, B. (2020). The economics of indigenous water claim settlements in the American West. Environmental Research Letters, 15(9), 094027. https://doi.org/10.1088/1748-9326/ab94ea

Edwards, E. C. (2020). Institutional and Organizational Analysis: Concepts and Applications. By Eric Alston, Lee Alston, Bernardo Mueller, and Tomas Nonnenmacher. Cambridge: Cambridge University Press, 2018. Pp. 406. $78.91, hardcover. The Journal of Economic History, 80(3), 926–927. https://doi.org/10.1017/S002205072000039X

Edwards, E. C., Go, D.-H., & Oladi, R. (2020). Predator–prey dynamics in general equilibrium and the role of trade. Resource and Energy Economics, 61, 101174. https://doi.org/10.1016/j.reseneeco.2020.101174

Pless, J., Fell, H., & Sirgin, B. (2020). Information Searching in the Residential Solar PV Market. The Energy Journal, 41(4), 255–278. https://doi.org/10.5547/01956574.41.4.jple

Vukina, T., & Nestic, D. (2020). Paying for animal welfare? A hedonic analysis of egg prices. AGRIBUSINESS, 36(4), 613–630. https://doi.org/10.1002/agr.21658

Paudel, K. P., Mishra, A. K., Pandit, M., Larkin, S., Rejesus, R., & Velandia, M. (2020). Modeling multiple reasons for adopting precision technologies: Evidence from US cotton producers. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 175. https://doi.org/10.1016/j.compag.2020.105625

Hare, A. T., Jordan, D. L., Edmisten, K. L., Leon, R. G., Post, A. R., Vann, R., … Washburn, D. (2020). Response of agronomic crops to planting date and double-cropping with wheat. AGRONOMY JOURNAL, 112(3), 1972–1980. https://doi.org/10.1002/agj2.20164

Stefanic, I., Campbell, R. K., Russ, J. S., & Stefanic, E. (2020). Evaluation of a blended learning approach for cross-cultural entrepreneurial education. INNOVATIONS IN EDUCATION AND TEACHING INTERNATIONAL, 57(2), 242–254. https://doi.org/10.1080/14703297.2019.1568901

Rejesus, R. M., & Jones, M. S. (2020). Perspective: enhancing economic evaluations and impacts of integrated pest management Farmer Field Schools (IPM-FFS) in low-income countries. PEST MANAGEMENT SCIENCE, 76(11), 3527–3536. https://doi.org/10.1002/ps.5912

Jorgensen, P. S., Folke, C., Henriksson, P. J. G., Malmros, K., Troell, M., Zorzet, A., … Carroll, S. P. (2020). [Review of Coevolutionary Governance of Antibiotic and Pesticide Resistance]. TRENDS IN ECOLOGY & EVOLUTION, 35(6), 484–494. https://doi.org/10.1016/j.tree.2020.01.011

Ramsey, A. F., Ghosh, S. K., & Goodwin, B. K. (2020). Rating exotic price coverage in crop revenue insurance. AGRICULTURAL FINANCE REVIEW, 80(5), 609–631. https://doi.org/10.1108/AFR-10-2019-0107

Zeytoon Nejad Moosavian, S. A., Hammond, R., & Goodwin, B. K. (2020). Risk aversion over price variability: experimental evidence. APPLIED ECONOMICS LETTERS, 27(21), 1739–1745. https://doi.org/10.1080/13504851.2020.1717426

Lu, H., Kandilov, I. T., & Zhu, R. (2020). The Impact of Internal Migration on the Health of Rural Migrants: Evidence from Longitudinal Data in China. JOURNAL OF DEVELOPMENT STUDIES, 56(4), 840–855. https://doi.org/10.1080/00220388.2019.1590553

He, J., Zheng, X., Rejesus, R., & Yorobe, J., Jr. (2020). Input use under cost-of-production crop insurance: Theory and evidence. AGRICULTURAL ECONOMICS, 51(3), 343–357. https://doi.org/10.1111/agec.12558

Yasar, M., & Rejesus, R. M. (2020). International linkages, technology transfer, and the skilled labor wage share: Evidence from plant-level data in Indonesia. WORLD DEVELOPMENT, 128. https://doi.org/10.1016/j.worlddev.2019.104847

Park, S., Goodwin, B. K., Zheng, X., & Rejesus, R. M. (2020). Contract elements, growing conditions, and anomalous claims behaviour in US crop insurance. GENEVA PAPERS ON RISK AND INSURANCE-ISSUES AND PRACTICE, 45(1), 157–183. https://doi.org/10.1057/s41288-019-00143-9

Ercumen, A., Prottas, C., Harris, A., Dioguardi, A., Dowd, G., & Guiteras, R. (2020). Poultry Ownership Associated with Increased Risk of Child Diarrhea: Cross-Sectional Evidence from Uganda. The American Journal of Tropical Medicine and Hygiene, 102(3), 526–533. https://doi.org/10.4269/ajtmh.19-0012

Fackler, P. L. (2020, January). Gambling with extinction: comments on Chauvenet et al. (2010). https://doi.org/10.1002/eap.1872

Dundas, S. J., & von Haefen, R. H. (2020). The Effects of Weather on Recreational Fishing Demand and Adaptation: Implications for a Changing Climate. Journal of the Association of Environmental and Resource Economists, 7(2), 209–242. https://doi.org/10.1086/706343

Willis, D. B., Hughes, D. W., Boys, K. A., & Swindall, D. C. (2020). Economic growth through entrepreneurship: Determinants of self-employed income across regional economies. PAPERS IN REGIONAL SCIENCE, 99(1), 73–95. https://doi.org/10.1111/pirs.12482

Wu, S., Goodwin, B. K., & Coble, K. (2020). Moral hazard and subsidized crop insurance. AGRICULTURAL ECONOMICS, 51(1), 131–142. https://doi.org/10.1111/agec.12545

Kandilov, A. M. G., & Kandilov, I. T. (2020). The minimum wage and seasonal employment: Evidence from the US agricultural sector. JOURNAL OF REGIONAL SCIENCE, 60(4), 612–627. https://doi.org/10.1111/jors.12474

Kandilov, I. T., & Renkow, M. (2020). THE IMPACTS OF THE USDA BROADBAND LOAN AND GRANT PROGRAMS: MOVING TOWARD ESTIMATING A RATE OF RETURN. ECONOMIC INQUIRY, 58(3), 1129–1145. https://doi.org/10.1111/ecin.12872