{"title":"Japan's Fish Consumption Patterns, Production, Trade, and Prospects for U.S. Exports","authors":"F. Taha","doi":"10.22004/AG.ECON.278807","DOIUrl":"https://doi.org/10.22004/AG.ECON.278807","url":null,"abstract":"Between 1988 and 1993, Japanese fish and shellfish catch dropped by one-third, falling to its lowest level in 25 years. Domestic prices sharply increased, but per capita fish and shellfish consumption is higher than that of all meats. To meet rising demand, Japan became the world's largest importer, absorbing one-third of global fish and shellfish imports, and the United States became its largest supplier. The outlook for exporting to Japan is excellent because the U.S. catch contains most of the species prized highly in the Japanese market, such as salmon, crabs, and Alaskan pollack.","PeriodicalId":84751,"journal":{"name":"Field staff reports","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1996-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90385209","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":"Defining Metropolitan Areas and the Rural-Urban Continuum: A Comparison of Statistical Areas Based on County and Sub-County Geography","authors":"J. Cromartie, Linda L. Swanson","doi":"10.22004/AG.ECON.278801","DOIUrl":"https://doi.org/10.22004/AG.ECON.278801","url":null,"abstract":"Accurate ,analysis of the economic and social problems currently facing urban and rural residents, as well as the implementation of programs to address them, depend to a large degree on how settlement is measured. County-based statistical areas misrepresent settlement patterns in parts of the Nation with large counties and limit our ability to track and analyze the geographical restructuring of U.S. population. Criteria currently used to delineate metro and nonmetro areas, and a more detailed county-level, rural-urban continuum, are applied to sub-county data in three States that represent different problems with county-level measurement of settlement patterns. Comparing the resulting sub-county areas with county-level areas shows significant improvement both in the territorial delineation of metro areas and in the classification of population in different types of nonmetro areas. The sub-county system delineates the interstitial space where a metro area ends and the hinterland begins, which is important at a time when central cities are losing their gravitational pull on surrounding metro territory.","PeriodicalId":84751,"journal":{"name":"Field staff reports","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1996-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90277126","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":"Philippines: Determinants of Wheat Import Demand","authors":"C. Levin, Chin-Zen Lin","doi":"10.22004/AG.ECON.278694","DOIUrl":"https://doi.org/10.22004/AG.ECON.278694","url":null,"abstract":"The Philippines relies entirely on imports to meet all of its wheat demand. Wheat marketing and distribution have been controlled by the private sector since 1986. The milling industry consists of 2 milling associations and 12 mills. The key factor in wheat importers' purchasing decisions is the price of wheat, with quality being the second most important factor. Between two high-quality sources, price is the more important factor; however, between an inferior and superior source, quality factors override price considerations. Protein and moisture are the most important quality characteristics. In general, dockage was not listed as one of the top five quality factors determining the country supplier. Selling cleaner U.S. wheat would result in possible premiums, although the amount of the premium is not known. In terms of the trade effects of cleaner U.S. wheat, all millers indicated that lower dockage levels, at the current price, would not result in an increase in demand for U.S. wheat imports in the short term.","PeriodicalId":84751,"journal":{"name":"Field staff reports","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1993-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80921714","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":"A 1989 Global Database for the Static World Policy Simulation (SWOPSIM) Modeling Framework","authors":"J. Sullivan, V. Roningen, S. Leetmaa, D. Gray","doi":"10.22004/AG.ECON.278638","DOIUrl":"https://doi.org/10.22004/AG.ECON.278638","url":null,"abstract":"This report documents a 1989 global database for the static world policy simulation (SWOPSIM) model building framework. A consistent set of data on production, consumption, trade, prices, and support has been assembled in the form of five large global models. Using SWOPSIM aggregation program, data from these global models can be aggregated to construct smaller global models which suit user needs while at the same time retaining global net trade • balances. The global models view the world in different ways with four of them emphasizing regional detail in Europe, the Western Hemisphere, Asia, and Africa. The report documents the base data and parameters for the models as well as the programs used to prepare and manipulate their data.","PeriodicalId":84751,"journal":{"name":"Field staff reports","volume":"52 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1992-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82252697","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":"Environmental and project displacement of population in India. Part I: Development and deracination.","authors":"C Maloney","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":84751,"journal":{"name":"Field staff reports","volume":" 14","pages":"1-16"},"PeriodicalIF":0.0,"publicationDate":"1991-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"22027028","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}
J. Kitchen, Elizabeth A. Mack, Rural Economy Division.
{"title":"Macroeconomic Shocks: Effects on the General Economy, Agricultural Prices, and Rural Unemployment","authors":"J. Kitchen, Elizabeth A. Mack, Rural Economy Division.","doi":"10.22004/AG.ECON.278583","DOIUrl":"https://doi.org/10.22004/AG.ECON.278583","url":null,"abstract":"This report examines macroeconomic shocks and the effects of the shocks on agricultural prices and the rural unemployment rate. The macroeconomic model described in this report is a structural, simultaneous equation model of quarterly frequency based on the Neoclassical-Keynesian Synthesis of macroeconomic theory. The model also includes linkages to agricultural and food prices and to the rural unemployment rate. We used the model in separate simulations to evaluate the effects of monetary policy, fiscal policy, the exchange rate, the price of crude oil, and a drought.","PeriodicalId":84751,"journal":{"name":"Field staff reports","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1991-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83883677","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":"Computable General Equilibrium Modeling of Agricultural Policies: Documentation of the 30-Sector FPGE GAMS Model of the United States","authors":"M. Kilkenny","doi":"10.22004/AG.ECON.278539","DOIUrl":"https://doi.org/10.22004/AG.ECON.278539","url":null,"abstract":"This paper explains how U.S. agricultural policies are modeled in the 30-sector computable general equilibrium (CGE) model of the United States called the FPGE GAMS model (Earm Policy in General Equilibrium, General Algebraic Modeling System). The main features of the FPGE GAMS model are (1) farm programs are modeled explicitly rather than by using ad valorem equivalents; (2) every dollar spent and received under farm programs is accounted for; and (3) the facts that farm households earn nonfarm income and nonfarm households own farmland is made explicit. Policy modeling issues are discussed. There is a detailed explanation of the equations representing farm programs, spending, and program effects. Data sources and methods of calibration and parameterization are explained. A social accounting matrix (SAM) of the United States highlighting farm program expenditures and receipts is included.","PeriodicalId":84751,"journal":{"name":"Field staff reports","volume":"67 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1991-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74990726","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":"Leasing Farmland in the United States","authors":"D. Rogers","doi":"10.22004/AG.ECON.278610","DOIUrl":"https://doi.org/10.22004/AG.ECON.278610","url":null,"abstract":"Land leasing plays a vital role in U.S. agriculture, allowing landlords to receive monetary returns from land they do not wish to operate, and allowing tenants to acquire use rights to land. Agricultural leasing is no longer seen as a temporary step toward full ownership, but as an effective way to gain control of land resources. Leasing can be used to expand or contract the farm operation, to conserve limited capital for financing farm operations, to enhance management flexibility, and to reduce risk. This report examines the extent of agricultural leasing, the characteristics of owners who lease land to others, and the nature of leasing arrangements. It is based on the data file of the 1988 Agricultural Economics and Land Ownership Survey (AELOS), a follow-on to the 1987 Census of Agriculture. AELOS provides information on the ownership of land held by operators and nonoperators of farms.","PeriodicalId":84751,"journal":{"name":"Field staff reports","volume":"73 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1991-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83741232","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":"The USDA/ERS computable general equilibrium (CGE) model of the United States.","authors":"S. Robinson, M. Kilkenny, K. Hanson","doi":"10.22004/AG.ECON.278341","DOIUrl":"https://doi.org/10.22004/AG.ECON.278341","url":null,"abstract":"This paper documents the basic Computable General Equilibrium (CGE) model of the U.S. economy developed at the Economic Research Service (ERS), USDA. The paper both describes the model equations in detail and how the model is \"benchmarked\" to a base data set. The paper also lists the computer program used to implement the model. The objective of the CGE work program at ERS is to provide a multisectoral framework for analyzing the effect of changes in agricultural policies and exogenous shocks on the farm sector, on the rural economy, on related nonagricultural sectors, and on the rest of the economy. The basic model has provided a starting point for a variety of extensions and applications exploring a number of policy issues. To date, work has largely focused on issues of agricultural trade policy and the effect of alternative domestic policies.","PeriodicalId":84751,"journal":{"name":"Field staff reports","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73349897","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":"Rural-Urban Continuum Codes for Metro and Nonmetro Counties, 1993","authors":"M. A. Butler, Rural Economy Division.","doi":"10.22004/AG.ECON.278774","DOIUrl":"https://doi.org/10.22004/AG.ECON.278774","url":null,"abstract":"This report provides a one-digit code for each of 10 classifications for all U.S. counties. The classifications describe a county by degree of urbanization and nearness to a metro area. These codes allow researchers to break county data into finer residential groups than the standard metro-nonmetro classification of the Bureau of the Census.","PeriodicalId":84751,"journal":{"name":"Field staff reports","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"1990-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80153012","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}