SAES-422 Multistate Research Activity Accomplishments Report
Sections
Status: Approved
Basic Information
- Project No. and Title: OLD S1072 : U.S. Agricultural Trade and Policy in a Dynamic Global Market Environment
- Period Covered: 12/16/2020 to 12/16/2020
- Date of Report: 07/06/2021
- Annual Meeting Dates: 12/16/2020 to 12/16/2020
Participants
Participant Affiliation 1 DeLong, Karen The University of Tennessee 2 Henneberry, Shida Oklahoma State University 3 Kennedy, Lynn Louisiana State University 4 Muhammad, Andrew The University of Tennessee 5 Munisamy, Gopinath University of Georgia 6 Ribera, Luis Texas A&M 7 Salassi, Michael LSU 8 Schmitz, Troy Arizona State University 9 Sheldon, Ian The Ohio State University 10 Villoria, Nelson Kansas State University
Accomplishments
Kansas State University
The main accomplishments of the work completed during this reporting period are listed below.
China has become an increasingly important importer of corn and other agricultural commodities. This motivated us to study the extent to which China’s policies directed to protect their domestic markets have a diversification objective. In an article in Agricultural Economics, we find that China’s policies, in particular their administration of the tariff-rate-quotas for imported grains committed before the WTO, have helped China to diversify suppliers. This is an interesting finding as China’s demand could stimulate more production form South America and Eastern Europe, which in turn could help to diversify exporters. Such diversification has contrasting effects for U.S. producers. On the one hand, China’s reorientation of their supply source will contribute to erode market shares. On the other, a more diversified set of suppliers may reduce concerns in importing countries about the exposure to foreign shocks, which over time, could reduce the rationale for obstructing market access to U.S. corn exports.
On the area of risk management programs and trade policy, our research has help to understand how the government-supported risk management programs affect farm production and crop supply. For example, the U.S. federal crop insurance has expanded rapidly for the last several decades and one of his recent projects focuses on the impacts of crop insurance on crop supply. These policies have directly bearing on trade as their distortionary effects and compliance with the WTO framework remain underexplored. More work on this area is expected in the current reporting period.
On the area of climate instability and agricultural prices, our findings suggest that increased volatility could be offset with increases in the ratio of imports to total consumption or in the stock-to-use ratio at the beginning of the crop marketing year. The fact that both imports and stocks help to stabilize domestic prices suggests that their uses should hinge on a careful cost-benefit analysis, including the risk of facing world production more variable than domestic production and the costs of carrying maize inventories over time.
Virginia Tech:
Listed below are the accomplishments of S-1072 Virginia team members Mary Marchant and Jason Grant, both of whom are
members of the Center for Agricultural Trade at Virginia Tech's College of Agriculture and Life Sciences:
GRANT AWARDS
New Grants
1. "Expanding the Linked Global-Spatial Crop-Livestock Model to Include Dairy and a Prototype Fresh Fruit, Vegetable and
Tree Nut Model," Funded by: Office of the Chief Economist (OCE), USDA; Performance Period: Sep. 30, 2020 - Dec. 31,
2021; PI: Jason Grant; Co-PIs: Xin Ning, Mary Marchant, Charlotte Emlinger, and David Orden. $350,000
Description
Virginia Tech's Center for Agricultural Trade continues to work with USDA baseline model specialists to extend the VT-OCE
linked global livestock-crop partial equilibrium simulation model with the addition of a dairy products component including fluid
milk production and processed cheese, butter, yogurt, whey, and milk powders in a multiproduct modeling framework.
2. "Implications of COVID-19 for Agricultural Trade," Funded by: Economic Research Service, USDA; Performance Period:
Sep. 30, 2020 - Sep 30, 2021; PIs: John Bovay and Shamar Stewart, Co-PIs: Jason Grant. $50,000
Description
In 2020, the Covid19 pandemic challenged the global economy, spreading to nearly every country around the globe,
decreasing and even shuttering economic activity, and threatening the lives of some of our most vulnerable populations.
However, less is know how the pandemic influenced trade in staple agricultural products. This project seeks to enhance
understanding of the way in which the Covid19 pandemic impacted trade in agricultural products.
Ongoing Grants
3. Effects of Contested Regulatory Measures on U.S. and Global Agricultural Trade," Funded by: NIFA/AFRI Economics,
Markets and Trade Program, 2018-2021. PD: J.H. Grant (Co-PIs: D. Orden, M. Marchant and E.B. Peterson) (Collaborators:
Lee Ann Jackson (WTO), Christiane Wolff (WTO)). $337,611.
Description
International trade is vital to the prosperity of U.S. agriculture and accounts for 20% of U.S. farm income. To contribute toward
securing and creating opportunities for U.S. agriculture and food products to enter into and remain competitive in foreign
markets, this project seeks to significantly enhance our understanding of the impacts of sanitary and phytosanitary (SPS)
measures and technical barriers to trade (TBT) affecting the U.S and global agricultural trade. Specific objectives are: (i) to
create an inventory of SPS and TBT measures affecting the U.S. and global agricultural trade using a targeted approach of
exporters' revealed concerns; (ii) Develop a state-of-the-art econometric framework to provide new quantitative estimates of
the impact of revealed SPS and TBT specific trade concerns on the U.S. and global agricultural trade. (iii) Develop a discretetime
model to provide novel evidence on the extent to which SPS and TBT measures impact the duration and hazard rate of
U.S. and competing suppliers' agricultural trade. 2018-2019 project accomplishments include
a. Completed comprehensive TBT database over the 1995-2018 timeframe.
b. Completed model and estimation framework to determine impacts of SPS and TBT measures on trade flows
c. Completed comprehensive policy report outlining the results of this project
d. Preparation of journal articles and book chapters
e. This project has supported current Ph.D. student Khadija Rouchdi
4. "Developing a Linked Global-Spatial Crop and Livestock Simulation Model and International Trade Elasticity Estimation,"
Funded by: Office of the Chief Economist (OCE) and Economic Research Service (ERS) USDA; Performance Period: Sep.
30, 2019 - Dec. 31, 2020; PI: Jason Grant; Co-PIs: Mary Marchant, Charlotte Emlinger, Everett Peterson, and David Orden.
University of Tennessee
Accomplishments
What was accomplished under these goals?
Impact Statement
International markets account for a considerable portion of U.S. agricultural products sales thus our project serves U.S. producers and agribusiness by providing them updated and relevant information and analysis related to the impacts of domestic and international polices on trade.
In the short term, our project outputs enhance the knowledge of U.S. agricultural producers and agribusiness regarding the potential impact of policies or regulations on marketing their products. In the medium term, U.S. producers and agribusiness could identify the potential markets and make more adequate investment decisions based on the knowledge provided from our outputs. Enhancing the knowledge of policy impacts on trade could also help producers and investors reduce the uncertainties and risk of counting on a single/dominant market and make a more comprehensive and long-term investment plan. In the long term, our study could benefit the society from developing a stronger agricultural sector through the improvement in the decision process and related financial condition of U.S. agricultural producers and agribusiness. Consumers will benefit from acquiring low-cost and diverse agricultural products when producers and agribusiness gain more knowledge in allocating resources more effectively.
In 2019/20, our focus is on the impacts of U.S. and foreign policies, regulations, market structures, and productivity on U.S. food and agricultural trade, the economy, and the environment. The data used in those activities are primarily obtained from USDA or public accessed websites. We highlight two of our studies below.
- a) The Impact of US Sugar Prices on the Financial Performance of US Sugar-Using Firms
What is the issue?
US sugar policy protects domestic sugar producers from world sugar prices because the world sugar market consists of heavily subsidized sugar from countries such as India and Brazil. The world sugar market is often considered the most distorted commodity market because nearly all sugar-exporting countries subsidize their sugar industries. Due to the mechanics of the US sugar program, and the fact that the world sugar market consists of mostly subsidized sugar, US raw and refined wholesale prices for sugar are typically higher than world raw and wholesale sugar prices. For instance, from 2000 to 2017, US raw sugar prices have been, on average, 10 cents per pound higher than world sugar prices. Critics argue that the US sugar policy sustains a relatively small number of jobs in the sugar industry, while causing economic losses to sugar-using industries because US raw and wholesale prices are artificially higher than raw and wholesale world prices. The goal of this paper is to investigate if the higher US price of sugar (compared to the world price of sugar) negatively impacts the financial performance of sugar-using firms.
What has the team done to address the problem?
The team applied a regression analysis to examine the effect of the US sugar program on the financial performance of publicly traded food manufacturers who use sugar as a primary input. We used a standard financial accounting model and included the US-to-world sugar price ratio as an explanatory variable. The null hypothesis we test is that the US-to-world sugar price ratio does not affect sugar-using firm financial performance. Unexpectantly, the regression results provide statistical evidence that as the US sugar price increases relative to the world sugar price, sugar-using firm financial performance improves. This is likely a result of sugar-using firms passing higher sugar costs on to consumers. An ex post analysis indicates that the statistical tests have adequate power. Findings provide guidelines for future analyses investigating the relationship between the US sugar program and sugar-using firm financial performance.
What are the impacts of the team’s research?
The findings have been cited by the American Sugar Alliance in their press release, titled “New Report Finds No Evidence that U.S. Sugar Program Harms Profitability of Sugar-Using Companies.” This study has also been featured by various popular press outlets as it provides a new evidence to a long-debated issue related to the potential impact of U.S. sugar program on sugar-using companies. Dr. DeLong, in her interview, indicated that “The U.S. sugar program buffers domestic sugar producers against heavily subsidized foreign sugar, but sugar-using firms claim that this program maintains artificially high domestic prices and therefore decreases profits. The data show that when all other conditions remain the same, there is no evidence to support these claims.” The results have also been published in Agricultural and Food Economics.
- b) COVID-19 and Cotton Demand in China: Implications for U.S. Exports
What is the issue?
The COVID-19 outbreak has substantially reduced global spending on apparel and other cotton products. As the leading global market for cotton imports and leading exporter of clothing and apparel, China’s demand for cotton from exporting countries, such as U.S., has been adversely affected by this pandemic, and potentially influences U.S. cotton exports.
What has the team done to address the problem?
We examined Chinese demand for imported cotton by product form (raw cotton and yarn) and by source (e.g., U.S., India), as well as the dynamic price relationships across countries. Using year-to-date trade, demand estimates, and price forecasts, we assessed the impact of COVID-19 on Chinese imports and the countries supplying this market.
What are the impacts of the team’s research?
Based on our analysis, the most severe impacts of COVID-19 on Chinese cotton imports are either behind us, or the latter half of 2020 could potentially be just as bad as the early part of the year. The outcome depends on the impact of manufactured-product prices on imports. This research has increased understanding of the potential impact of the pandemic to U.S. and Tennessee agriculture. With the signing of the U.S.-China Phase One Trade Agreement in January 2020 and retaliatory tariff exemptions by the Chinese government in March 2020, the expectations for U.S. cotton exports to China in 2020 were significantly higher than the level in 2019. Our results suggest that Chinese imports of U.S. cotton in 2020 will fall well short of this
goal. This study has been accepted by Agribusiness: An International Journal.
Impacts
Publications
Oklahoma State
1 Shayanmehr, S.; Henneberry, S. R.*, Sabouhi Sabouni, M.; Shahnoushi Foroushani, N.*. 2020. “Climate Change and Sustainability of Crop Yield in Dry Regions Food Insecurity”. Sustainability, 12(23), p. 9890. https://doi.org/10.3390/su12239890
2 Bragoli, G. D., M. C. Edwards, S. R. Henneberry, C. E. Watters. 2020. “Interpreting the Impact of a Professional Development Program: The Views of Entrepreneur Fellows from Kenya, South Africa, and Uganda One Year Later". Journal of Agricultural and Extension Education (JIAEE), Forthcoming (accepted on 10.19.20, manuscript # 2020-1332).
3 Fakari Sardehae, B.; Shahnoushi, N.; Mohammadi, H.; Rastegari Henneberry, S. 2021. “The Limitations and Capacities of Crops and Horticultural Production in Iran.” Journal of Agricultural Science and Technology, Vol 23, Issue 4, July 2021. www.Jast.modares.ac.ir
4 Henneberry, S. R. and R. Radmehr. 2020. “Quantifying impacts of internships in an international agriculture degree program.” PLOS ONE, August 17, 2020. https://doi:10.1371/journal.pone.0237437
5 Radmehr, S. and S. R. Henneberry. 2020. “Energy Price Policies and Food Prices: Empirical Evidence from Iran.” Energies, Special Issue: Energy Policy and Policy Implications 2020, 13(15), August 4, 2020. https://doi.org/10.3390/en13154031
6 Shayanmehr, S.; S. R. Henneberry, M. S. Sabouni; N. Shahnoushi Foroushani. 2020. “Drought, Climate Change, and Dryland Wheat Yield Response: An Econometric Approach.” International Journal of Environmental Research and Public Health, Special Issue: Environment and Applied Ecology Section. Published 7/21/20. doi:10.3390/ijerph17145264 https://doi.org/10.3390/ijerph17145264
7 Liu, W., Radmehr, R., Zhang, S., Henneberry, S. R., and Wei, C. 2020. “Driving mechanism of concentrated rural resettlement in upland areas of Sichuan Basin: A perspective of marketing hierarchy transformation”, Land Use Policy, 99:104879, 2020. https://doi.org/10.1016/j.landusepol.2020.104879.
8 Wu, T.; S. R. Henneberry; J. Ng’ombe, R. T. Melstrom. 2020. “Chinese Demand for Agritourism in Rural America.” Sustainability. Special Issue: Emerging Destinations Tourism Economics, 12(7), 3052, April 10, 2020. https://doi.org/10.3390/su12073052
9 Zayone, T. I., S. R. Henneberry, and R. Radmehr. 2020. “Effects of Agricultural, Manufacturing and Mineral Exports on Angola’s Economic Growth. Energies (ISSN 1996 -1073).” 13 (6): 1494. March 21, 2020. https://doi.org/10.3390/en13061494
10 Gao, Y., Z. Zheng; S. R. Henneberry. 2020. “Is Nutritional Status Associated with Income Growth? Evidence from Chinese Adults.” China Agricultural Economic Review, CAER-11-2019-0216.R2. ISSn 1756-137X, April 28, 2020. https://doi.org/10.1108/CAER-11-2019-0216
University of Florida
1. Adams, D.C., Soto, J.R., Lai, J., Escobedo, F.J., Alvarez, S., and Kibria, A.S.M.G. (2020). Public Preferences and Willingness to Pay for Invasive Forest Pest Prevention Programs in Urban Areas. Forests, 11(10),1056. https://doi.org/10.3390/f11101056
2. Ferreira J-P, Ramos PN, Lahr ML. (2020). The rise of the sharing economy: Guesthouse boom and the crowding-out effects of tourism in Lisbon. Tourism Economics, 26(3), 389-403. Doi:10.1177/1354816619839849
3. Ferreira, J.-P, Isidoro, C., Moura Sá, F., Mota, J.-C. (2020) The economic value for cycling – a methodological assessment for Starter Cities. Hábitat y Sociedad ,13: 29-45. http://dx.doi.org/10.12795/HabitatySociedad.2020.i13.03
4. Lahr, ML, Ferreira, JP, Többen, JR. (2020) Intraregional trade shares for goods‐producing industries: RPC esimates using EU data. Pap Reg Sci. 99: 1583– 1605. https://doi.org/10.1111/pirs.12541
5. Lai, J., Morgan, S., Kassas, B., Kropp, J., and Gao, Z. (2020). Spending of Economic Stimulus Payments and Changes in Food Purchasing During the COVID-19 Pandemic. Choices, 35(3),1-8.
6. Lai, J., and Widmar, N.O., (2020). Revisiting the Digital Divide in the COVID‐19 Era. Applied economic perspectives and policy, 00(00),1-7. https://doi.org/10.1002/aepp.13104
7. Lai, J., and Widmar, N., and Bir, C. (2020). Eliciting Consumer Willingness to Pay for Home Internet Service: Closing the Digital Divide in the State of Indiana. Applied economic perspectives and policy, 42(2),263-282. https://doi.org/10.1002/aepp.13000
8. Morgan, S.N., N.M. Mason, and M.K. Maredia. (2020). “Lead-farmer extension and smallholder valuation of new agricultural technologies in Tanzania.” Food Policy 97: 1–11.
9. Moss, Charles B. and Dong Hee Suh. (2020). Effect of Compliance Cost on the Supply of Bank Credit to Agriculture: A Differential Approach. American Journal of Agricultural Economics, 102(3): 713-726. [DOI: 10.1002/ajae.12074]
10. Oehmke, James F., Charles B. Moss, Lauren Nadya Singh, Theresa Bristok Oehmke, and Lori Ann Post. (2020). Dynamic Panel Surveillance of COVID-19 Transmission in the United States to Inform Health Policy: Observational Statistical Study Journal of Medical Internet Research , 22(10):e21955. [DOI: 10.2196/21955]
11. Post, Lori A., Salem T Argaw, Cameron Jones, Charles B. Moss, Denielle Resnick, Lauren Nadya Singh, Robert Leo Murphy, Chad J. Achenbach, Janine White, Tariq Ziad Issa, Michael J. Boctor, James F. Oehmke. (2020). A SARS-CoV-2 Surveillance System in Sub-Saharan Africa: Modeling Study for Persistence and Transmission to Inform Policy. Journal of Medical Internet Research 2020;22(11):e24248. [DOI: 10.2196/24248]
12. Post, Lori Ann, Tariq Ziad Issa, Michael J. Boctor, Charles B. Moss, Robert L. Murphy, Michael G. Ison, Chad J. Achenbach, Danielle Resnick, Lauren Nadya Singh, Janine White, Joshua Marco Faber, Kasen Culler, Cynthia A. Brandt, and James Francis Oehmke. (2020). Dynamic Metrics for Public Health Surveillance Are Imperative to Gain Control of the COVID-19 Pandemic in America: Longitudinal Trend Analysis. Journal of Medical Internet Research (In Press) [DOI: 10.2196/24286]
13. Neuhofer, Z., B. McFadden, A. Rihn, X. Wei, H. Khachatryan, and L. House (2020). Can the updated nutrition facts label decrease sugar-sweetened beverage consumption? Economics & Human Biology 37: 100867. https://doi.org/10.1016/j.ehb.2020.100867
14. Schmitz, Andrew, Charles B. Moss, and Troy G. Schmitz. 2020. The Economic Effects of COVID-19 on the Producers of Ethanol, Corn, Gasoline, and Oil. Journal of Agricultural & Food Industrial Organization 18(2) [DOI: 10.1515/jafio-2020-0025].
15. Simnitt, S., L. House, S. Larkin, J. Sweeney Tookes, and T. Yandle (2020). Using Markets to Control Invasive Species: Lionfish in the US Virgin Islands. Marine Resource Economics, 35(4): 319-241.
16. Spreen, T.L., L.A. House, and Z. Gao (2020). The Impact of Varying Financial Incentives on Data Quality in Web Panel Surveys, Journal of Survey Statistics and Methodology, 8(5): 832-850. https://doi.org/10.1093/jssam/smz030
17. Stainback, G.A., Lai, J., Pienaar, E., Adam, D.C., Wiederholt, R., and Vorseth, C. (2020). Public preferences for ecological indicators used in Everglades restoration. PLOS One, 15(6),e0234051. https://doi.org/10.1371/journal.pone.0234051
18. Van Treese II, J. W. and Olexa, M.T. (2020). Application of the Florida-Friendly Landscaping Statute to Homeowner Disputes Regarding Violation of Restrictive Covenants. The Florida Bar Journal. Volume 94(6): 34-41. November/December 2020
19. Widmar, N., Bir, C., Lai, J., and Wolf, C. (2020). Public Perceptions of Veterinarians from Social and Online Media Listening. Veterinary Sciences, 7(2),75. https://doi.org/10.3390/vetsci7020075
1. Campbell, J., A. Rihn, and H. Khachatryan. 2020. Factors Influencing Home Lawn Fertilizer Choice in the United States. HortTechnology, 30(3), 296-305. https://doi.org/10.21273/HORTTECH04454-19
2. Hall, C.R., Hodges, A.W., H. Khachatryan, and M.A. Palma. (2020). Economic Contributions of the Green Industry in the United States in 2018. Journal of Environmental Horticulture, 38(3), 73-79. https://doi.org/10.24266/0738-2898-38.3.73
3. Khachatryan, H., A. Rihn, G. Hansen, and T. Clem. (2020). Landscape Aesthetics and Maintenance Perceptions: Assessing the Relationship between Homeowners’ Visual Attention and Landscape Care Knowledge. Land Use Policy, 95, 104645. https://doi.org/10.1016/j.landusepol.2020.104645
4. Knuth, M., B. Behe, P. Huddleston, C. Hall, R. Thomas, and H. Khachatryan. 2020. Water Conserving Message Influences Purchasing Decision of Consumers. Special Issue Water Use and Scarcity, Water, 12(12), 3487. https://doi.org/10.3390/w12123487
5. McGinnis, E., A. Rihn, N. Bumgarner, S. Krishnan, J. Cole, C. Sclar, and H. Khachatryan. 2020. Enhancing Consumer Horticulture’s Millennial Outreach: Social Media, Retail and Public Garden Perspectives. HortTechnology, 30(6), 642-649. https://doi.org/10.21273/HORTTECH04697-20
6. Wei, X., H. Khachatryan, and A. Rihn. (2020). Production Costs and Profitability for Selected Greenhouse Grown Annual and Perennial Crops: Partial Enterprise Budgeting and Sensitivity Analysis. HortScience. 55(5), 637-646. https://doi.org/10.21273/HORTSCI14633-19
7. Walters, L., Wade, T., & Suttles, S. (2020) Food and Agricultural Transportation Challenges Amid the COVID-19 Pandemic. Choices, 35(3).
8. Wei, X., H. Khachatryan, and A. Rihn. (2020). Consumer Preferences for Labels Disclosing the Use of Neonicotinoid Pesticides: Evidence from Experimental Auctions. Journal of Agricultural and Resource Economics, 45(3), 496-517. doi: 10.22004/ag.econ.302462
9. Zhang, X., and H. Khachatryan. (2020). Investigating Monetary Incentives for Environmentally Friendly Residential Landscapes. Special Issue Urban Environmental Policy and Planning: Land Use and Water, Water, 12(11), 3023. https://doi.org/10.3390/w12113023
Ohio State
1 S. McCorriston and I.M. Sheldon, “Economic Nationalism: US Trade Policy vs. Brexit”, Ohio State Business Law Journal, 14(1), 2020.
2 J. Eum, I. M. Sheldon and S. Thompson, “Product Quality in Food and Agricultural Trade: Firm Heterogeneity and the Impact of Trade Costs,” Journal of Agricultural and Resource Economics, forthcoming.
3 I.M. Sheldon, “Reflections on a Career as an Industrial Organization and International Economist,” Applied Economic Perspectives and Policy, forthcoming.
4 D.C.K. Chow and I.M. Sheldon, “Understanding the Economic and Political Effects of Trump’s China Tariffs,” William and Mary Business Law Review, forthcoming.
5 I.M. Sheldon and J. Grant, “Global Trade in Agricultural Products: The Likely Impact of COVID-19”, in Economic Impacts of COVID-19 on Food and Agricultural Markets, CAST, June 2020.
The University of Tennessee
1. Dellachiesa, A. and T.E. Yu. 2019. “The Impact of Output, Energy and Trade on Greenhouse Gas Emissions in Mercosur Member States: A Panel Cointegration Analysis.” Brazilian Review of Economics and Agribusiness, 17:151-170.
2. DeLong, K.L., K.L. Jensen, S. Upendram, E.A. Eckelkamp. 2020. “Consumer Preferences for Tennessee Milk.” Journal of Food Distribution Research, 51(2): 111-130.
3. Ellis, J., K.L. DeLong, D.M. Lambert, S. Schexnayder, P. Krawczel, and S. Oliver. 2020. “Analysis of Closed Versus Operating Dairies in the Southeastern United States.” Journal of Dairy Science, 103(6): 5148-5161.
4. Hong, C, W Wu, and A Muhammad. 2020. “The Spillover Effect of Export Processing Zones” China Economic Review 63, 101478.
5. Koç, A.A., T.E. Yu, T. Kıymaz, and B. Sharma. 2019. “Effects of Government Supports and Credits on Turkish Agriculture: A Spatial Panel Analysis.” Journal of Agribusiness in Developing and Emerging Economies, 9:391-401
6. Muhammad, A, SA Smith, and S MacDonald. 2019. “How Has the Trade Dispute Affected the U.S. Cotton Sector?” Choices 34(4).
7. Muhammad, A., J. Thompson, and K.L. DeLong. 2020. “Implications of KORUS on U.S. beef in South Korea.” International Journal of Trade and Global Markets, 13(4): 378-393.
8. Trejo-Pech, C.J.O., K.L. DeLong, D.M. Lambert, and V. Siokos. 2020. “The Impact of US Sugar Prices on the Financial Performance of US Sugar-Using Firms.” Agricultural and Food Economics, 8(6): 1-17.
9. Ufer, D, A Countryman, & A Muhammad (2020) “How Important are Product Attributes for U.S. Lamb Imports? International Food and Agribusiness Management Review, 23(3): 411-423
Michigan State
1. Ortega, D. L., Lusk, J. L., Lin, W., & Caputo, V. (2020). Predicting responsiveness to information: consumer acceptance of biotechnology in animal products. European Review of Agricultural Economics. Accepted, online
2. Lin, W., Ortega, D.L., Ufer, D., Caputo, V., Awokuse, T. (2020). Blockchain-based traceability and demand for U.S. beef in China. Applied Economic Perspectives and Policy. Accepted, forthcoming
Louisiana State University
1 Lazard, P.M., and P.L. Kennedy (2020), “Trouble at Old River: The Impact of a Mississippi River Avulsion on U.S. Soybean Exports,” Journal of Food Distribution Research, 51,3(Nov. 2020): In Press.
2 Kennedy, P.L., A. Schmitz, A., and F. Zhang (2020), “Sugar Recovery Rates in Louisiana, Florida, and Australia (1900–2018): Sugarcane Varietal Development and Cultural Practices,” Crop Science, 2020;1–11. https://doi.org/10.1002/csc2.20281.
3 Schmitz, A., P.L. Kennedy, and F. Zhang (2020), “Sugarcane and Sugar Yields in Louisiana (1911-2018): Varietal Development and Mechanization,” Crop Science, 60,3:1303–1312. Online version at https://doi.org/10.1002/csc2.20045.
Kansas State University
1 Perry, E.D., J. Yu, and J. Tack. 2020. Using insurance data to quantify the multidimensional impacts of warming temperatures on yield risk. Nature Communications 11(4542). https://doi.org/10.1038/s41467-020-17707-2
2 M.R. Taylor, L. Sudbeck, C. Wilson, and J. Yu. 2020. Quality Effects on Kansas Land Price Trends, Journal of the American Society of Farm Managers and Rural Appraisers, 167–170.
3 Goodrich, B.K., J. Yu, and M. Vandeveer. 2020. Participation Patterns of the Rainfall Index Insurance for Pasture, Rangeland and Forage (RI-PRF) Program, forthcoming, The Geneva Papers on Risk and Insurance - Issues and Practice (Special Issue on Agricultural Insurance), https://doi.org/10.1057/s41288-019-00149-3
4 Yu, J., and N. P. Hendricks. 2020. Input Use Decisions with Greater Information on Crop Conditions: Implications for Insurance Moral Hazard and the Environment, forthcoming, American Journal of Agricultural Economics, https://doi.org/10.1093/ajae/aaz035
5 Kim*, Y., J. Yu, and D. L. Pendell. 2020. Effects of Crop Insurance on Farm Disinvestment and Exit Decisions, European Review of Agricultural Economics, https://doi.org/10.1093/erae/jbz035
6 Chen, Bowen, Nelson B. Villoria and Tian Xia (2020). “Trade Impacts of Tariff Quota Administration in China’s Grain Markets: An Empirical Assessment.” Agricultural Economics 51:2, pp. 191-206.
7 Villoria, N.B (2019) “Consequences of Agricultural Total Factor Productivity Growth for the Sustainability of Global Farming: Accounting for Direct and Indirect Land Use Effects.” Environmental Research Letters, Volume 14, Number 12, November 2019, https://doi.org/10.1088/1748-9326/ab4f57.
8 Yu, J., N.B. Villoria, and N.P. Hendricks, The Incidence of Foreign Market Accessibility on Farmland Rental Rates, 2019 International Agricultural Trade Research Consortium Annual Meeting, Washington DC, December 8 – 10, 2019
9 Yu, J., N.B. Villoria, and N.P. Hendricks, The Incidence of Foreign Market Accessibility on Farmland Rental Rates, Agricultural Economics Seminar, Mississippi State University, February 28,2020
10 Yu, J., N.B. Villoria, and N.P. Hendricks, The Incidence of Foreign Market Accessibility on Farmland Rental Rates, National Bureau of Economic Research Conference on “Agricultural Markets and Trade Policy” (Virtual), April 30 – May 1, 2020
11 Villoria, N.B., Shourish Chakravarty* and Michael Delgado. “Land Supply Elasticity in the U.S. A Spatially Explicit Approach” Selected Paper at the 2020 AAEA Annual Meeting. Virtual. August 10-11, 2020.
12 Villoria, N.B., Shourish Chakravarty and Michael Delgado. “Land Supply Elasticity in the U.S. A Spatially Explicit Approach.” 23rd Annual Conference on Global Economic Analysis. Virtual. June 17-19, 2020.
13 Yu, Jisang*, Nelson B. Villoria, and Nathan Hendricks. “The Incidence of Foreign Market Accessibility on Farmland Rental Rates.” NBER Agricultural Markets and Trade Policy Conference, Online due to COVID-19. April 30-May 1, 2020.