"Improving Ecosystem Services from U.S. Agriculture: Yield Reserve vs. Land Retirement." Chenyang Hu, Wei Zhang, Darrell Bosch
Abstract Pressure for protecting and restoring water quality requires more reduction in nitrogen (N) loads from agriculture. Researchers have been evaluating agricultural production choices along both the extensive and intensive margins to improve ecosystem services. This study examines and compares the cost-effectiveness of a government budget-equivalent Yield Reserve Program and an expansion of land retirement program (CRP) on revenues, costs, output, and potential reductions in N loads from the production of 10 major crops, both nationally and regionally. Findings indicate that the Yield Reserve Program outperforms the CRP in terms of achieving N reduction under equivalent government budget expenditures. However, the N reduction under the Yield Reserve Program is partially offset by the “rebound effect” on corn acreage whereby corn acreage increases with the subsidized N reduction. The CRP expansion demonstrates a strong “slippage effect”, where the expansion of CRP acreage simply brings marginal land into crop production resulting in a smaller-than-expected N reduction. Sensitivity analysis shows that higher percentage of Yield Reserve in terms of the amount of subsidized N reduction tends to be more cost-effective, and more inelastic land supply tends to reduce the “slippage” of CRP expansion.
*3rd Place Winner in the Job Market Paper Competition at SAEA meeting on Feb 5, 2024
"Impact of Large-scale Solar on Property Values in the US: Diverse Effects and Causal Mechanisms." Chenyang Hu, Zhenshan Chen, Pengfei Liu, Wei Zhang, Xi He, and Darrell Bosch.
Abstract As the renewable energy transition continues into less receptive communities, local opposition is expected to intensify, potentially slowing the process. Since the local impacts are neither well quantified nor widely recognized, we lack policies and common practices to mitigate the potential associated welfare loss in affected communities. Based on a nationwide dataset combining property transactions and large-scale solar photovoltaic (LSSPV) sites, we analyze the heterogeneous effects of LSSPV on property prices and the associated causal pathways. Difference-in-differences estimates show that LSSPV significantly increases agricultural or vacant land value by about 19.4% within a 2-mile radius, while simultaneously reducing residential property values within 3 miles. The average negative impact on residential value is significant at -5.2% when proximity is combined with site visibility and -4.6% when the site is invisible; however, the latter becomes insignificant under alternative control group specifications. These negative residential value effects diminish with distance and over time. Heterogeneous effect estimates indicate that high solar lease potential, being in heavily Democratic-leaning counties, and brownfield redevelopment largely mitigate the negative residential value impact. The analysis reveals no significant heterogeneity across a few factors, including different levels of site visibility, directional orientation of properties relative to the LSSPV site, and different tracking systems. Multiple pieces of empirical evidence seem to indicate that the negative impact of LSSPV on residential values stems mainly from negative perceptions rather than physical disamenity levels. Our assessment provides benchmark information for local externality mitigation plans, potentially reducing community opposition and expediting the renewable energy transition.
Chenyang Hu, Zhenshan Chen, Pengfei Liu, Wei Zhang, Xi He, Darrell Bosch. “Impact of Large-scale Solar on Property Values in the US: Diverse Effects and Causal Mechanisms.” Proceedings of the National Academy of Sciences, 122 (24) e2418414122. https://doi.org/10.1073/pnas.2418414122.
Chenyang Hu, Wei Zhang, and Darrell Bosch. “Improving Ecosystem Services from U.S. Agriculture: Yield Reserve vs. Land Retirement.” Revise and Resubmit at Journal of Environmental Quality.
Duval, D., Bickel, A. K., Frisvold, G., Wu, X., Hu, C. (2018). Contribution of Agriculture to the Maricopa County and Gila River Indian Community Economies. Department of Agricultural and Resource Economics Cooperative Extension The University of Arizona.
"Impacts of Energy Price and Ethanol Demand Shocks on U.S. Agriculture: A Partial Equilibrium Approach." Chenyang Hu, Wei Zhang, and Darrell Bosch.
Abstract Pressure for reducing carbon emissions and increasing reliance on renewable fuels may give rise to higher and more variable energy prices. This study examines possible implications of energy price and ethanol demand shocks for U.S. agriculture. Higher energy prices lead to higher crop prices and lower crop output in most farm regions. Livestock production declines while livestock value increases because of higher prices. Higher ethanol demand leads to expansion of corn production. Livestock production increases in response to higher ethanol demand due to the increased availability of by-products used for animal feed. Agricultural stakeholders need to be prepared to anticipate effects of possible energy price increases and ethanol policy changes.
The job market paper and the first working paper use the Regional Environment and Agriculture Programming (REAP) model. The REAP model was developed by USDA’s Economic Research Service to analyze the intersection of agriculture and the environment for policy applications (Johannson, Peters, and House, 2007). Recent issues analyzed using the REAP model include policies to reduce hypoxia in the Gulf of Mexico (Marshall et al. 2018), climate change adaptation (Malcolm et al., 2015), and environmental implications of biofuels (Marshall et al. 2011 and Sands et al. 2017).
REAP is a partial equilibrium model implemented using nonlinear mathematical programming. The model maximizes net welfare (producer plus consumer surplus) from production of crops, livestock, and processed products subject to land supply constraints and production balance requirements (Sands et al. 2017). REAP is a price-endogenous model with prices determined by the intersection of demand and supply curves. As a partial equilibrium model, REAP does not have endogenous markets for factor inputs. REAP simulates a baseline equilibrium as well as alternative scenarios in which prices, policies, or other parameters to the model are changed. Effects of the scenarios can be evaluated for model outcomes including U.S. and regional values for land use, crop and livestock production, prices, farm income, and other indicators including environmental indicators such as erosion and nutrient and pesticide loadings (Sands et al. 2017).