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This study sheds light on possible spatial aggregation bias and mismeasurement in natural disaster impacts on economic growth when adopting the synthetic control method. Using the impacted US areas of Hurricane Katrina in 2005 as a case study, we compared trends of real GRDP per capita, population, and GRDP at New Orleans-Metairie metropolitan statistical area and Louisiana State, 1992–2017. This study empirically demonstrates that improper spatial units of analysis could distort the causal inference in the synthetic control method. Additionally, per capita growth as indicators of recovery from natural disasters is likely to misinterpret economic growth when affected regions experience a sharp decrease in population. These biased results arouse special attention to possible underestimation of natural disaster impacts, particularly when analysing economically lagging regions. Also, seemingly increasing per capita indicators do not always support evidence of creative destruction after natural disasters.
Seong D. Yun; Ayoung Kim. Economic impact of natural disasters: a myth or mismeasurement? Applied Economics Letters 2021, 1 -6.
AMA StyleSeong D. Yun, Ayoung Kim. Economic impact of natural disasters: a myth or mismeasurement? Applied Economics Letters. 2021; ():1-6.
Chicago/Turabian StyleSeong D. Yun; Ayoung Kim. 2021. "Economic impact of natural disasters: a myth or mismeasurement?" Applied Economics Letters , no. : 1-6.
Conservation tillage has been widely recommended for implementation in the U.S. for its environmental benefits. The effect of conservation tillage on crop yield is a subject of continued concern amongst farmers who have not adopted the practice. Previous empirical research on the yield performance of conservation tillage is largely limited to field trials, while observational studies remain scant. This article estimates the effects of conservation tillage on county average corn and soybean yields using remotely-sensed tillage practice adoption data in 646 counties across 12 Corn Belt states from 2005 to 2018. Exploiting deviations from county-specific means in the data, we find no evidence that conservation tillage negatively affects corn or soybean yields. We also find that it can mitigate the impact of drought on soybean yields. We explore how wider use of conservation tillage might offset the increase in drought-induced downside risk to soybean yields under climate change projections from five global climate models.
Bowen Chen; Benjamin M Gramig; Seong D Yun. Conservation tillage mitigates drought-induced soybean yield losses in the US Corn Belt. Q Open 2021, 1, 1 .
AMA StyleBowen Chen, Benjamin M Gramig, Seong D Yun. Conservation tillage mitigates drought-induced soybean yield losses in the US Corn Belt. Q Open. 2021; 1 (1):1.
Chicago/Turabian StyleBowen Chen; Benjamin M Gramig; Seong D Yun. 2021. "Conservation tillage mitigates drought-induced soybean yield losses in the US Corn Belt." Q Open 1, no. 1: 1.
Agro-climatic data by county (ACDC) is designed to provide the major agro-climatic variables from publicly available spatial data sources to diverse end-users. ACDC provides USDA NASS annual (1981–2015) crop yields for corn, soybeans, upland cotton and winter wheat by county. Customizable growing degree days for 1 °C intervals between −60 °C and +60 °C, and total precipitation for two different crop growing seasons from the PRISM weather data are included. Soil characteristic data from USDA-NRCS gSSURGO are also provided for each county in the 48 contiguous US states. All weather and soil data are processed to include only data for land being used for non-forestry agricultural uses based on the USGS NLCD land cover/land use data. This paper explains the numerical and geo-computational methods and data generating processes employed to create ACDC from the original data sources. Essential considerations for data management and use are discussed, including the use of the agricultural mask, spatial aggregation and disaggregation, and the computational requirements for working with the raw data sources.
Seong Do Yun; Benjamin M. Gramig. Agro-Climatic Data by County: A Spatially and Temporally Consistent U.S. Dataset for Agricultural Yields, Weather and Soils. Data 2019, 4, 66 .
AMA StyleSeong Do Yun, Benjamin M. Gramig. Agro-Climatic Data by County: A Spatially and Temporally Consistent U.S. Dataset for Agricultural Yields, Weather and Soils. Data. 2019; 4 (2):66.
Chicago/Turabian StyleSeong Do Yun; Benjamin M. Gramig. 2019. "Agro-Climatic Data by County: A Spatially and Temporally Consistent U.S. Dataset for Agricultural Yields, Weather and Soils." Data 4, no. 2: 66.
We merge inclusive wealth theory with ecosystem-based management (EBM) to address two challenges in the science of sustainable management of ecosystems. First, we generalize natural capital theory to approximate realized shadow prices for multiple interacting natural capital stocks (species) making up an ecosystem. These prices enable ecosystem components to be better included in wealth-based sustainability measures. We show that ecosystems are best envisioned as portfolios of assets, where the portfolio’s performance depends on the performance of the underlying assets influenced by their interactions. Second, changes in ecosystem wealth provide an attractive headline index for EBM, regardless of whether ecosystem wealth is ultimately included in a broader wealth index. We apply our approach to the Baltic Sea ecosystem, focusing on the interacting community of three commercially important fish species: cod, herring, and sprat. Our results incorporate supporting services embodied in the shadow price of a species through its trophic interactions. Prey fish have greater shadow prices than expected based on market value, and predatory fish have lower shadow prices than expected based on market value. These results are because correctly measured shadow prices reflect interdependence and limits to substitution. We project that ecosystem wealth in the Baltic Sea fishery ecosystem generally increases conditional on the EBM-inspired multispecies maximum sustainable yield management beginning in 2017, whereas continuing the current single-species management generally results in declining wealth.
Seong Yun; Barbara Hutniczak; Joshua K. Abbott; Eli P. Fenichel. Ecosystem-based management and the wealth of ecosystems. Proceedings of the National Academy of Sciences 2017, 114, 6539 -6544.
AMA StyleSeong Yun, Barbara Hutniczak, Joshua K. Abbott, Eli P. Fenichel. Ecosystem-based management and the wealth of ecosystems. Proceedings of the National Academy of Sciences. 2017; 114 (25):6539-6544.
Chicago/Turabian StyleSeong Yun; Barbara Hutniczak; Joshua K. Abbott; Eli P. Fenichel. 2017. "Ecosystem-based management and the wealth of ecosystems." Proceedings of the National Academy of Sciences 114, no. 25: 6539-6544.
Nitrogen fertilizer is one of the most important inputs to corn production and farmers manage their crop by deciding how much to apply, when to apply it and how to apply it to maximize their yields and resulting profit. There is risk inherent in crop fertility management because once nitrogen is applied to the soil it is no longer immobile and cropland is subject to loss of this costly input under different weather conditions. Days suitable for field work, a farm’s machinery set, and weather conditions determine when field preparation and planting activities are completed each year. This paper documents the methods and data used to evaluate the economic costs and benefits of the agronomic practice of “splitting” nitrogen fertilizer—applying some at or just before planting and a second application after the plant has already emerged and is in greatest need of nutrients. An example of how to use the free online decision support tool Corn Split NDST (splitn.agclimate4u.org) to evaluate the climate risk and economics of post-planting N applications is developed to illustrate the application of methods described
Ben Gramig; Raymond Massey; Seong Yun. Nitrogen application decision-making under climate risk in the U.S. Corn Belt. Climate Risk Management 2017, 15, 82 -89.
AMA StyleBen Gramig, Raymond Massey, Seong Yun. Nitrogen application decision-making under climate risk in the U.S. Corn Belt. Climate Risk Management. 2017; 15 ():82-89.
Chicago/Turabian StyleBen Gramig; Raymond Massey; Seong Yun. 2017. "Nitrogen application decision-making under climate risk in the U.S. Corn Belt." Climate Risk Management 15, no. : 82-89.
A model of post-disaster migration responses and income consequences poses that damage severity and individual resilience affect moving decisions. Forced moves are linked to little resilience relative to damage incurred and post-move income reductions. The empirical analysis analyzes households affected by hurricanes Katrina and Rita. Using American Community Survey data, unobserved heterogeneous income damages are framed as treatment, with the moving decision being the treatment decision. An endogenous switching regression addresses self-selection issues. The results suggest that movers encountered double victimization: (1) they were forced to move and their income declined; (2) low-income households were more severely affected than the average.
Seong Do Yun; Brigitte S. Waldorf. THE DAY AFTER THE DISASTER: FORCED MIGRATION AND INCOME LOSS AFTER HURRICANES KATRINA AND RITA. Journal of Regional Science 2016, 56, 420 -441.
AMA StyleSeong Do Yun, Brigitte S. Waldorf. THE DAY AFTER THE DISASTER: FORCED MIGRATION AND INCOME LOSS AFTER HURRICANES KATRINA AND RITA. Journal of Regional Science. 2016; 56 (3):420-441.
Chicago/Turabian StyleSeong Do Yun; Brigitte S. Waldorf. 2016. "THE DAY AFTER THE DISASTER: FORCED MIGRATION AND INCOME LOSS AFTER HURRICANES KATRINA AND RITA." Journal of Regional Science 56, no. 3: 420-441.
This paper focuses on labor market outcomes of young college graduates in the US, analyzing the nexus between migration, overeducation, and economic conditions. A series of overeducation probit models are estimated, using data from the March Supplements of the Current Population Survey, 2000–2014. We find that labor migrants are less prone to being overeducated as unemployment rates increase. For stayers, in contrast, we find a positive link between overeducation propensities and unemployment rates. As a result of this response divergence, overeducation probabilities of stayers exceed those of movers during times of medium to high unemployment rates. The results are robust to various definitions of overeducation and various sample restrictions.
Brigitte Waldorf; Seong Yun. Labor migration and overeducation among young college graduates. Review of Regional Research 2015, 36, 99 -119.
AMA StyleBrigitte Waldorf, Seong Yun. Labor migration and overeducation among young college graduates. Review of Regional Research. 2015; 36 (2):99-119.
Chicago/Turabian StyleBrigitte Waldorf; Seong Yun. 2015. "Labor migration and overeducation among young college graduates." Review of Regional Research 36, no. 2: 99-119.