Three Essays on the Impact of Climate Change and Weather Extremes on the United States' Agriculture PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Three Essays on the Impact of Climate Change and Weather Extremes on the United States' Agriculture PDF full book. Access full book title Three Essays on the Impact of Climate Change and Weather Extremes on the United States' Agriculture by Phu Viet Le. Download full books in PDF and EPUB format.
Author: Phu Viet Le Publisher: ISBN: Category : Languages : en Pages : 274
Book Description
This dissertation incorporates three independent essays on the impact of climate change on the United States' agriculture, with each explores a different facet of climate change. There have been heated debates about the potential impact of climate change on the United States' agriculture. Several influential studies such as Schlenker, Hanemann, and Fisher (2005, 2006), Schlenker and Roberts (2006) suggest a potentially large negative impact of climate change on farmland values and crop yields, while others including Mendelsohn, Nordhaus, and Shaw (1994), and Deschenes and Greenstone (2007) believe that there is little impact or the US agriculture could be a major beneficiary of global warming. These opposing results inspired my work to examine another aspect of climate change that has not been carefully addressed in the current literature: the impact of climate and weather extremes. While any individual extreme event cannot be causally linked to climate change, there could be a higher probability of more severe extreme events in the future. There are several potential scenarios in which we may expect more heating, less cooling, and less fluctuations between the extremes with different forms of distributional shifts in climatic conditions, all having the same change in the mean temperature. For example, climate change may result in increased precipitations in Northern America in the form of more droughts and more flooding events. These differential changes in the distribution of climatic conditions may have a subtle impact on agriculture, which could not be identified by studying moment variables such as the mean and the variance of temperatures or precipitations. The three essays inherited two major empirical methods widely used in estimating the impact of climate change: hedonic regression and panel data. Hedonic regressions (also called the Ricardian approach) utilize cross-sectional variations to identify how climatic conditions such as the average temperature or precipitation capitalize in farmland values, and panel estimations that employ within variations to link weathers with annual crop yields or farm profits. However, there is a situation in which both techniques are insufficient. If economic agents have forward-looking behaviors, and under uncertainties, the decision making process will involve a dynamic optimization problem whose a reduced-form approach as derived from either cross-sectional or panel data technique may not truly identify the actual behaviors. I devised an innovative dynamic programming approach built up on the Ricardian method to estimate the impact of natural disasters such as extreme drought events on cropland conversions. In the first essay, using historical crop yield reports paired with high-resolution climate data, I discovered a small and positive effect of a decreasing diurnal temperature range on yields of five major crops including corns, wheat, cotton, soybeans, and sorghum. The asymmetric increases in observed maximum and minimum temperature have resulted in a falling diurnal temperature range across the United States. This effect could help mitigate some potential harmful impacts of climate change in the future, averaging up to a two percent yield offset for summer crops. Meanwhile, little impact on winter crops is expected. Moreover, the overall impact of climate change from a rising mean temperature and less fluctuations is dominantly harmful for most crops. The second essay presents a structural model of cropland conversions with an application to the impact of extreme droughts. Droughts are perhaps the most destructive events to the US agriculture. Extended periods of severe droughts in the late 20th century caused widespread economic damages comparable to that of the Dust Bowl in 1930s. I showed that those events contributed to converting lands from agricultural production to urban uses by damaging soil productivity and lowering farming profits. I concluded the Ricardian approach to estimating climate change impacts is insufficient. Specifically, the Ricardian method works well for equilibrium adjustments by assuming that farm owners are able to make complete adaptations to a changing environment. However, the Ricardian approach fails to take into account the presence of climate extremes whose adaptations are neither possible nor costless. As a consequence, this method may underestimate the true cost of transient events related to climate change such as extreme droughts. This finding carries a significant implication for the future of the US' private croplands. As the US is predicted to experience more precipitations in the future with climate change, it seems that there would be a beneficial impact of more water for crops. It may not necessarily be the case, however. Even with increased precipitations, drought conditions may occur more frequently and intensively. Damages from potentially extreme drought events were not considered in the Ricardian estimates. In the third essay, I examined the impact of extreme heating conditions on prime farmland conversions in California using the hedonic regression technique with a spatial dataset. I focused on the number of extreme heating days, defined as day with the recorded maximum temperature rises above 90 degree Fahrenheit. I found a small but significant nonlinear impact of extreme heating days on farmland conversions. A mild increase in the number of extreme heating days may be good for crops, thus helps keep farmlands in agricultural production. However, too excessive heating is harmful and accelerates conversions out of farming.
Author: Phu Viet Le Publisher: ISBN: Category : Languages : en Pages : 274
Book Description
This dissertation incorporates three independent essays on the impact of climate change on the United States' agriculture, with each explores a different facet of climate change. There have been heated debates about the potential impact of climate change on the United States' agriculture. Several influential studies such as Schlenker, Hanemann, and Fisher (2005, 2006), Schlenker and Roberts (2006) suggest a potentially large negative impact of climate change on farmland values and crop yields, while others including Mendelsohn, Nordhaus, and Shaw (1994), and Deschenes and Greenstone (2007) believe that there is little impact or the US agriculture could be a major beneficiary of global warming. These opposing results inspired my work to examine another aspect of climate change that has not been carefully addressed in the current literature: the impact of climate and weather extremes. While any individual extreme event cannot be causally linked to climate change, there could be a higher probability of more severe extreme events in the future. There are several potential scenarios in which we may expect more heating, less cooling, and less fluctuations between the extremes with different forms of distributional shifts in climatic conditions, all having the same change in the mean temperature. For example, climate change may result in increased precipitations in Northern America in the form of more droughts and more flooding events. These differential changes in the distribution of climatic conditions may have a subtle impact on agriculture, which could not be identified by studying moment variables such as the mean and the variance of temperatures or precipitations. The three essays inherited two major empirical methods widely used in estimating the impact of climate change: hedonic regression and panel data. Hedonic regressions (also called the Ricardian approach) utilize cross-sectional variations to identify how climatic conditions such as the average temperature or precipitation capitalize in farmland values, and panel estimations that employ within variations to link weathers with annual crop yields or farm profits. However, there is a situation in which both techniques are insufficient. If economic agents have forward-looking behaviors, and under uncertainties, the decision making process will involve a dynamic optimization problem whose a reduced-form approach as derived from either cross-sectional or panel data technique may not truly identify the actual behaviors. I devised an innovative dynamic programming approach built up on the Ricardian method to estimate the impact of natural disasters such as extreme drought events on cropland conversions. In the first essay, using historical crop yield reports paired with high-resolution climate data, I discovered a small and positive effect of a decreasing diurnal temperature range on yields of five major crops including corns, wheat, cotton, soybeans, and sorghum. The asymmetric increases in observed maximum and minimum temperature have resulted in a falling diurnal temperature range across the United States. This effect could help mitigate some potential harmful impacts of climate change in the future, averaging up to a two percent yield offset for summer crops. Meanwhile, little impact on winter crops is expected. Moreover, the overall impact of climate change from a rising mean temperature and less fluctuations is dominantly harmful for most crops. The second essay presents a structural model of cropland conversions with an application to the impact of extreme droughts. Droughts are perhaps the most destructive events to the US agriculture. Extended periods of severe droughts in the late 20th century caused widespread economic damages comparable to that of the Dust Bowl in 1930s. I showed that those events contributed to converting lands from agricultural production to urban uses by damaging soil productivity and lowering farming profits. I concluded the Ricardian approach to estimating climate change impacts is insufficient. Specifically, the Ricardian method works well for equilibrium adjustments by assuming that farm owners are able to make complete adaptations to a changing environment. However, the Ricardian approach fails to take into account the presence of climate extremes whose adaptations are neither possible nor costless. As a consequence, this method may underestimate the true cost of transient events related to climate change such as extreme droughts. This finding carries a significant implication for the future of the US' private croplands. As the US is predicted to experience more precipitations in the future with climate change, it seems that there would be a beneficial impact of more water for crops. It may not necessarily be the case, however. Even with increased precipitations, drought conditions may occur more frequently and intensively. Damages from potentially extreme drought events were not considered in the Ricardian estimates. In the third essay, I examined the impact of extreme heating conditions on prime farmland conversions in California using the hedonic regression technique with a spatial dataset. I focused on the number of extreme heating days, defined as day with the recorded maximum temperature rises above 90 degree Fahrenheit. I found a small but significant nonlinear impact of extreme heating days on farmland conversions. A mild increase in the number of extreme heating days may be good for crops, thus helps keep farmlands in agricultural production. However, too excessive heating is harmful and accelerates conversions out of farming.
Author: Wei Wei Wang Publisher: ISBN: Category : Languages : en Pages :
Book Description
This dissertation investigates three economic aspects of the climate change issue: optimal allocation of investment between adaptation and mitigation, impacts on a ground water dependent regional agricultural economy and effects on global food insecurity. This is done in three essays by applying mathematical programming. In the first essay, a modeling study is done on optimal temporal investment between climate change adaptation and mitigation considering their relative contributions to damage reduction and diversion of funds from consumption and other investments. To conduct this research, we extend the widely used Integrated Assessment Model?DICE (Dynamic Integrated Climate Economy) adding improved adaptation modeling. The model results suggest that the joint implementation of adaptation and mitigation is welfare improving with a greater immediate role for adaptation. In the second essay, the research focuses on the ground water dependent agricultural economy in the Texas High Plains Region. A regionally detailed dynamic land allocation model is developed and applied for studying interrelationships between limited natural resources (e.g. land and groundwater), climate change, bioenergy demands and agricultural production. We find out that the effect varies regionally across hydrologically heterogeneous regions. Also, water availability has a substantial impact on feedstock mix. In terms of biofuel feedstock production, the model results show that limited water resource cannot sustain expanded corn-based ethanol production in the future. In the third essay, a Computable General Equilibrium (CGE) model is applied in an attempt to study potential impacts of climate change on global food insecurity. Our results show that climate change alters the number of food insecure people in a regionally different fashion over time. In general, the largest increase of additional food insecure population relative to the reference case (no climate change) is found in Africa and South Asia, while most of developed countries will benefit from climate change with a reduced proportion of food insecure population. In general, climate change affects world agricultural production and food security. Integrated adaptation and mitigation strategy is more effective in reducing climate change damages. However, there are synergies/trade-offs between these two options, particularly in regions with limited natural resources.
Author: Yuquan Zhang Publisher: ISBN: Category : Languages : en Pages :
Book Description
This dissertation investigates: (1) the implications of including high-yielding energy sorghum under the Renewable Fuels Standard (RFS2) program; (2) the effects of RFS2 with and without projected climate change scenarios on U.S. agriculture; (3) the spatial distribution of cattle breeders in Texas to quantify how climate factors influence cattle breed selection. In the RFS2 energy sorghum work, the ability of the agriculture sector to meet the fuel requirements of RFS2 is examined with and without energy sorghum being a possibility using an agricultural sector model. The results show that energy sorghum would be a valuable contributor that would be used as a feedstock producing over 13 billion gallons per year of cellulosic ethanol. Without the presence of energy sorghum it is found that switchgrass serves as the major cellulosic ethanol feedstock. Findings also indicate that the presence of high-yielding energy sorghum does relax commodity prices and export reductions except for grain sorghum as energy sorghum competes with grain sorghum production. In addition, the results show that the introduction of energy sorghum has minimal effects on GHG mitigation potential in the agricultural sector. In the RFS2 and climate change research, the analysis shows that climate change eases the burden of meeting the RFS2 mandates increasing consumer welfare while decreasing producer welfare. The results also show that climate change encourages a more diversified use of biofuel feedstocks for cellulosic ethanol production, in particular crop residues. In the cattle breed research, summer heat stress is found to be a significant factor for breed selection: positive for Bos indicus and negative for Bos taurus and composite breeds. The estimation results also indicate a price-driven trade-off between Bos taurus and Bos indicus breeds.
Author: Kashif Ahmed Publisher: Kashif Ahmed ISBN: Category : Science Languages : en Pages : 126
Book Description
"The Impact of Climate Change on Agriculture and Food Security" is a comprehensive exploration of the far-reaching consequences of climate change on global food production systems. This book delves into the intricate relationship between climate patterns and agriculture, shedding light on the challenges and opportunities that lie ahead in ensuring food security in a changing climate. The book begins by examining the current state of the world's climate and how it influences agricultural practices. It meticulously analyzes the various manifestations of climate change, including shifts in temperature, precipitation patterns, extreme weather events, and their direct and indirect impacts on crop yields, livestock, and fisheries. The author combines scientific research, case studies, and expert insights to offer a nuanced understanding of the vulnerabilities and adaptive capacities of different agricultural regions. From the implications for smallholder farmers to the potential disruptions in global food supply chains, the book explores the multifaceted aspects of the climate-agriculture nexus. With a focus on sustainable solutions, "The Impact of Climate Change on Agriculture and Food Security" discusses mitigation and adaptation strategies, policy implications, and the role of technological innovations in safeguarding food production against the backdrop of a changing climate. The book serves as a crucial resource for policymakers, researchers, and anyone interested in the intersection of climate change, agriculture, and food security.
Author: Hongliang Zhang Publisher: ISBN: Category : Climatic changes Languages : en Pages : 147
Book Description
Increased temperature and precipitation variability and frequent extreme weather events due to climate change pose a threat to farming operations and agricultural communities. The recent IPCC assessment shows that the projected climate change will, on average, reduce wheat yields by 5% in temperate regions without adaptation and even more if temperatures continue to rise. Designing policies for helping climate-vulnerable farmers requires a comprehensive understanding of the impacts of climate change on agricultural systems and potential adaptation strategies. This dissertation consists of three essays that address several relevant issues from an economic perspective. The first essay presents an empirical analysis to assess the impacts of climate change on farm-level economic outcome distributions for winter wheat systems (including winter wheat yield, farm revenue, expenditure, and net return) in the U.S. Pacific Northwest by using a flexible moment-based approach. Results indicate that a warming climate, on average, reduces winter wheat yield but increases farm economic returns in this region, while droughts have a large negative impact on the ex-ante distributions of winter wheat yields and farm net returns. Using the econometric estimates, the farm-level climate vulnerability is quantified and examined. The second essay examines the effects of conservation tillage (including no-till and other conservation tillage) on winter wheat yield and production risk. We test the hypothesis that conservation tillage practices are risk-reducing. We use farm-level tillage practice data from the 2012 Agricultural Census for the U.S. Pacific Northwest. Results are estimated using a three-stage approach by integrating a multinomial logit model with a flexible moment-based approach. We find that conservation tillage has a negative effect on winter wheat productivity. We also find statistical evidence that conservation tillage is risk-increasing. Implications of the results for using conservation tillage to adapt to climate change are discussed. The third essay compares the difference-in-difference and fixed effects approaches to estimate long-term climate impacts versus short-term weather effects on U.S winter wheat systems. A county-level panel dataset is used to assess the effects of climate and weather variables on winter wheat yield and farm revenue in the U.S. Pacific Northwest and the central Great Plains. The net effect of a warming climate is found to be negative on the winter wheat production both in the short run and the long run. Implications of the results for short-term adjustments and long-term adaptations are discussed.
Author: Sun Ling Wang Publisher: ISBN: Category : Agricultural industries Languages : en Pages : 45
Book Description
This paper employs a stochastic frontier approach to examine how climate change and extreme weather affect U.S. agricultural productivity using 1940-1970 historical weather data (mean and variation) as the norm. We have four major findings. First, using temperature humidity index (THI) load and Oury index for the period 1960-2010 we find each state has experienced different patterns of climate change in the past half century, with some states incurring drier and warmer conditions than others. Second, the higher the THI load (more heat waves) and the lower the Oury index (much drier) will tend to lower a state's productivity. Third, the impacts of THI load shock and Oury index shock variables (deviations from historical norm fluctuations) on productivity are more robust than the level of THI and Oury index variables across specifications. Fourth, we project potential impacts of climate change and extreme weather on U.S. regional productivity based on the estimates. We find that the same degree changes in temperature or precipitation will have uneven impacts on regional productivities, with Delta, Northeast, and Southeast regions incurring much greater effects than other regions, using 2000-2010 as the reference period.
Author: Food and Agriculture Organization of the United Nations Publisher: Food & Agriculture Org. ISBN: 9251337187 Category : Science Languages : en Pages : 108
Book Description
Global climate studies show that not only temperatures are increasing and precipitation levels are becoming more varied, all projections indicate these trends will continue. It is therefore imperative that we understand changes in climate over agricultural areas and their impacts on agriculture production and food security. This study presents new analysis on the impact of changing climate on agriculture and food security, by examining the evidence on recent climate variability and extremes over agricultural areas and the impact of these on agriculture and food security. It shows that more countries are exposed to increasing climate variability and extremes and the frequency (the number of years exposed in a five-year period) and intensity (the number of types of climate extremes in a five-year period) of exposure over agricultural areas have increased. The findings of this study are compelling and bring urgency to the fact that climate variability and extremes are proliferating and intensifying and are contributing to a rise in global hunger. The world’s 2.5 billion small-scale farmers, herders, fishers, and forest-dependent people, who derive their food and income from renewable natural resources, are most at risk and affected. Actions to strengthen the resilience of livelihoods and food systems to climate variability and extremes urgently need to be scaled up and accelerated.
Author: Phu Viet Le
Author: Phu Viet Le
Author: Wei Wei Wang
Author: John M. Reilly
Author: Yuquan Zhang
Author: Kashif Ahmed
Author: Climate Change Science Program (U.S.)
Author: Hongliang Zhang
Author: Wayne L. Decker
Author: Sun Ling Wang
Author: Food and Agriculture Organization of the United Nations