Getachew Nigatu, Flavius Badau, R. Seeley, J. Hansen
{"title":"Factors Contributing to Changes in Agricultural Commodity Prices and Trade for the United States and the World","authors":"Getachew Nigatu, Flavius Badau, R. Seeley, J. Hansen","doi":"10.22004/AG.ECON.301181","DOIUrl":"https://doi.org/10.22004/AG.ECON.301181","url":null,"abstract":"Agricultural commodity prices play an important role in the production decisions of farmers and ranchers, including planted/harvested acreage of crops or inventory of livestock and, thus, the supply of agricultural commodities. This report examines changes in global demand and supply factors that contributed to agricultural commodity price declines during 2014-19 and changes that contributed to the rising trend in prices that peaked in 2007/08 and 2011/12. Additionally, the report projects how global commodity prices and trade could change out to 2021/22 given various assumptions on key factors, such as the growth in Gross Domestic Product (GDP) and agricultural production across countries. Information on these factors and their market impacts can inform and enhance public and private decision making on issues relating to agricultural markets. Model results suggest that if GDP growth slows in developing and emerging economies by 2.3 percentage points annually (the average annual rate of decline experienced in these countries over 2007-09), commodity prices would decrease on average by 4 percent per year over 2018/19 to 2021/22. However, the volume of global commodity trade would remain relatively stable. Second, if crop production by major producing countries (including the United States) were to decline by 3 percentage points, commodity prices are projected to rise by an average of 12 percent per year over 2018/19 to 2021/22. The volume of global commodity trade is projected to fall by an average of 2 percent per year for this scenario. Third, if U.S. crop production increases by an average of 1 percentage point, average commodity prices decline by 2 percent, and the volume of global commodity trade increases by an average of less than 1 percent over 2018/19 to 2021/22.","PeriodicalId":348588,"journal":{"name":"Economic Research Report","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130886922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Crane-Droesch, E. Marshall, Stephanie D. Rosch, A. Riddle, J. Cooper, S. Wallander
{"title":"Climate Change and Agricultural Risk Management Into the 21st Century","authors":"A. Crane-Droesch, E. Marshall, Stephanie D. Rosch, A. Riddle, J. Cooper, S. Wallander","doi":"10.22004/AG.ECON.292268","DOIUrl":"https://doi.org/10.22004/AG.ECON.292268","url":null,"abstract":"Programs that help farmers manage risk are a major component of the Federal Government’s support to rural America. Changes to this risk—and thus to the Government’s fiscal exposure— are expected as weather averages and extremes change over the coming decades. This study uses a combination of statistical and economic modeling techniques to explore the mechanisms by which climate change could affect the cost of the Federal Crop Insurance Program (FCIP) to the Federal Government, which accounts for approximately half of Government expenditures on agricultural risk management. Our approach is to compare scenarios of the future that differ only in terms of climate. Using weather scenarios for 2060-99 from general circulation models, we project decreases in corn and soybean yields and mixed changes to winter wheat yields, compared to a baseline scenario in which climate is identical to that of the past three decades. We use an economic model of the U.S. agricultural sector to estimate how projected yield changes may induce farmers to change what and where they plant, and the resulting impacts on production and output prices. These ingredients allow us to explore drivers of change in the cost of the FCIP’s Revenue Protection program, which is used as a heuristic for potential farm safety net programs that could exist in the future. Differences between the scenarios are driven by increasing prices for the three crops studied, caused by relatively lower production in the presence of inelastic demand, as well as by changing volatility in both yields and prices.","PeriodicalId":348588,"journal":{"name":"Economic Research Report","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126729480","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
E. Marshall, M. Aillery, M. Ribaudo, N. Key, S. Sneeringer, L. Hansen, S. Malcolm, A. Riddle
{"title":"Reducing Nutrient Losses From Cropland in the Mississippi/Atchafalaya River Basin: Cost Efficiency and Regional Distribution","authors":"E. Marshall, M. Aillery, M. Ribaudo, N. Key, S. Sneeringer, L. Hansen, S. Malcolm, A. Riddle","doi":"10.22004/AG.ECON.277567","DOIUrl":"https://doi.org/10.22004/AG.ECON.277567","url":null,"abstract":"Every summer, a large area forms in the northern Gulf of Mexico where dissolved oxygen becomes too low for many aquatic species to survive. This “hypoxic zone” is fueled by nutrient (nitrogen and phosphorus) runoff from the Mississippi/Atchafalaya River Basin (MARB), most of which comes from agriculture. This analysis used the ERS Regional Environment and Agriculture Programming (REAP) model and data from the USDA Conservation Effects Assessment Project (CEAP) to assess the most cost-effective way of achieving a 45-percent reduction in cropland nutrient loads to the Gulf. Strategies involve adoption of management practices that reduce nutrient loss from fields to water resources, off-field practices for intercepting nutrients, retirement of marginal cropland, and other changes in crop management. Results suggest that proximity to the Gulf was a major factor in the location of nutrient-reduction efforts when reducing Gulf hypoxia was the only goal. When local as well as Gulf nutrient-reduction targets are applied, nutrient-reduction efforts are spread more evenly across the MARB. Adopting nutrient management practices, restoring wetlands, and retiring cropland to meet water quality goals also increased commodity prices, resulting in more intensive production outside the MARB and increased nutrient and sediment loadings to water in other watersheds.","PeriodicalId":348588,"journal":{"name":"Economic Research Report","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129580369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Characteristics of School Districts Offering Free School Meals to All Students Through the Community Eligibility Provision of the National School Lunch Program","authors":"S. Rogus, J. Guthrie, K. Ralston","doi":"10.22004/AG.ECON.276219","DOIUrl":"https://doi.org/10.22004/AG.ECON.276219","url":null,"abstract":"The Community Eligibility Provision (CEP) of the National School Lunch Program allows high-poverty schools to provide USDA school meals at no charge to all of their students. USDA reimbursement for meals is simplified by making use of routinely collected administrative data, such as participation in the Supplemental Nutrition Assistance Program (SNAP, formerly food stamps) or Temporary Assistance for Needy Families (TANF), rather than collecting school meal applications. Schools and districts with at least 40 percent of enrolled students identified as participating in these assistance programs through the administrative data—also known as the Identified Student Percentage, or ISP—are eligible to participate in the CEP. This report examines the characteristics of school districts that participated in the CEP in school year 2015-16—with participation defined as CEP being implemented in at least one eligible school in the district—using administrative data from USDA’s Food and Nutrition Service, the National Center for Education Statistics, and State education agencies, where available. The highest school-level ISP in the district was found to be significantly associated with CEP participation, holding other factors constant, although the association varied for different sized districts. Participation also varied significantly by region and length of time since CEP became available.","PeriodicalId":348588,"journal":{"name":"Economic Research Report","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128263883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mesbah J. Motamed, Ashley Hungerford, Stephanie D. Rosch, Erik J. O'Donoghue, Matthew J MacLachlan, G. Astill, J. Cessna, J. Cooper
{"title":"Federal Risk Management Tools for Agricultural Producers: An Overview","authors":"Mesbah J. Motamed, Ashley Hungerford, Stephanie D. Rosch, Erik J. O'Donoghue, Matthew J MacLachlan, G. Astill, J. Cessna, J. Cooper","doi":"10.22004/ag.econ.276229","DOIUrl":"https://doi.org/10.22004/ag.econ.276229","url":null,"abstract":"This report describes the current landscape of Federal risk management policies, including the Agricultural Act of 2014, and analyzes the outcomes and interactions of these programs. Despite their common objective of risk reduction, Federal programs differ in their payment mechanisms and their impacts on producer revenue, and uptake has varied significantly across programs and crops. Area-loss insurance programs, such as the Stacked Income Protection Plan and Supplemental Coverage Option, received low enrollments, while applications to the Noninsured Crop Disaster Assistance Program witnessed sizable growth. Differences in program enrollment and program provisions across crops led the bulk of Agriculture Risk Coverage payments to go to producers with corn and soybean base acres, while most Price Loss Coverage payments went to rice, peanuts, and wheat base acres. Half of dairy producers enrolled in the Margin Protection Program for Dairy, but large national margins led to few payments in 2015 and 2016. In contrast, changes in program design led the Livestock Gross Margin for Dairy program to make significantly more indemnity payments per policy. Outside of dairy, the Livestock Forage Program remains the largest livestock support program, though outlays have fallen in recent years.","PeriodicalId":348588,"journal":{"name":"Economic Research Report","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114138795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Christopher B. Burns, N. Key, Sarah A. Tulman, A. Borchers, Jeremy G. Weber
{"title":"Farmland Values, Land Ownership, and Returns to Farmland, 2000-2016","authors":"Christopher B. Burns, N. Key, Sarah A. Tulman, A. Borchers, Jeremy G. Weber","doi":"10.22004/AG.ECON.276249","DOIUrl":"https://doi.org/10.22004/AG.ECON.276249","url":null,"abstract":"Farmland plays a unique and important role in agriculture. Farm real estate (which includes land and the structures on it) accounts for over 80 percent of farm-sector assets. Farm real estate values reached record highs in 2015, driven by high net cash farm income and low interest rates. However, farmland appreciation has slowed considerably over the last 2 years due to lower commodity prices and lower net cash farm income, raising questions about the potential impact on farm financial stress. This study finds that farmland appreciation lowered the share of farms that were considered financially stressed in 2000-2012, particularly those that owned less than one-quarter of their acres operated. It also finds that farms that owned at least 50 percent of their acres purchased more farmland during periods of high appreciation and land equity gains. Finally, using an economic model, it finds that current farmland values are not supported by returns to farming, suggesting that a decline in values is possible.","PeriodicalId":348588,"journal":{"name":"Economic Research Report","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121185463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Employment Spillover Effects of Rural Inpatient Healthcare Facilities","authors":"Cristina Miller, J. Pender, T. Hertz","doi":"10.22004/AG.ECON.266290","DOIUrl":"https://doi.org/10.22004/AG.ECON.266290","url":null,"abstract":"This report estimates the share of wage/salary employment in inpatient healthcare facilities—hospitals, nursing homes, and other residential care facilities—versus other industries in rural counties during 2001-15, and the spillover effects of additional inpatient facility employment, in rural counties. On average, we find no clear spillover effect of inpatient facility employment on employment in other sectors, i.e., the employment multiplier is approximately 1. The multiplier is larger in rural micropolitan counties (1.24 total jobs) than in the most rural (noncore) counties (0.89 total jobs), but neither of these estimates is significantly different from 1, implying the absence of spillovers.","PeriodicalId":348588,"journal":{"name":"Economic Research Report","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123719138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Innovation in the Rural Nonfarm Economy: Its Effect on Job and Earnings Growth, 2010-2014","authors":"Timothy R. Wojan, T. Parker","doi":"10.22004/AG.ECON.264596","DOIUrl":"https://doi.org/10.22004/AG.ECON.264596","url":null,"abstract":"Innovation—introducing new goods, services, or ways of doing business that are valued by consumers—is widely regarded as essential to dynamic and resilient local economies with long-term growth potential. However, innovation in the nonfarm rural economy has received relatively little attention. This report uses the first nationally representative sample of self-reported innovation at the U.S. establishment level to: (1) assess the level of innovation in rural establishments relative to their urban peers; (2) identify rural industries that are the most innovation-intensive; and (3) estimate how innovation at the local level may have affected the rate of recovery after the Great Recession.","PeriodicalId":348588,"journal":{"name":"Economic Research Report","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129735442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Food Insecurity, Chronic Disease, and Health Among Working-Age Adults","authors":"Christian A. Gregory, Alisha Coleman-Jensen","doi":"10.22004/AG.ECON.261813","DOIUrl":"https://doi.org/10.22004/AG.ECON.261813","url":null,"abstract":"This report documents the strong correlation between food security status and chronic health conditions among working-age adults living at or below 200 percent of the Federal poverty line (FPL). In general, lower food security is associated with higher probability of each of the chronic diseases we examine—hypertension, coronary heart disease (CHD), hepatitis, stroke, cancer, asthma, diabetes, arthritis, chronic obstructive pulmonary disease (COPD), and kidney disease. Food security status is also strongly related to the likelihood of chronic disease in general, to the number of chronic conditions afflicting the sufferer, and to self-assessed health. Moreover, looking at the entire range of household food security (high, marginal, low, and very low) is important for understanding individuals’ experience of chronic illness and, more generally, health. Indeed, food security status is more strongly predictive of chronic illness in some cases even than income. Income is significantly associated with just 3 of the 10 chronic diseases examined in this report, while food insecurity is associated with all 10.","PeriodicalId":348588,"journal":{"name":"Economic Research Report","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130959228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Daniel Hellerstein, Claudia Hitaj, David J. Smith, A. Davis
{"title":"Land Use, Land Cover, and Pollinator Health: A Review and Trend Analysis","authors":"Daniel Hellerstein, Claudia Hitaj, David J. Smith, A. Davis","doi":"10.22004/AG.ECON.263074","DOIUrl":"https://doi.org/10.22004/AG.ECON.263074","url":null,"abstract":"About 35 percent of the world’s food crops depend on pollinators, including managed honey bees, to reproduce. However, pollinators face a number of stressors, such as parasites, poor nutrition, pesticides, and diseases. A literature review indicates that pollinators may benefit from landscapes richer in high-quality forage (pollen and nectar sources) and highlights the different needs of managed honey bees and native (unmanaged)pollinators. This study uses 30 years of data on U.S. land uses to calculate a pollinator forage suitability index. When averaged across the Nation, the forage suitability index increased from 1982 to 2002 and declined slightly from 2002 to 2012—though in important honey bee regions (such as Central North and South Dakota), the decline from 2002 to 2012 is more pronounced. The study also analyzes the economics of providing better pollinator forage, such as assigning property rights for colony placement and voluntary government conservation programs to increase pollinator forage.","PeriodicalId":348588,"journal":{"name":"Economic Research Report","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130689590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}