scholarly journals AN ECONOMIC ANALYSIS MEASURING THE INTERDEPENDANCE OF JANAN AND THE U.S.

Author(s):  
Pete Mavrokordatos
Keyword(s):  
2019 ◽  
Vol 9 (2) ◽  
pp. 21-43
Author(s):  
Paul Jordan Washburn

The health of a corporation relies most heavily upon healthy human beings' value-based productivity for optimal growth and evolution. A duality between personhoods and their respective systems' weighted impacts are in question, as the U.S. Healthcare industries weighted impact affects all other U.S.-GDP subsectors. The author performed an analysis of 21 main U.S.-GDP subsectors based on unclassified 1960-2014 U.S. Bureau of Economic Analysis reports. The author derived a [Consumption:Value] ratio-based equation, demonstrating results in [0.0,2.0] and U.S. dollar scales. The U.S.-GDP-Healthcare subsector increased its average annual consumption by $122,232,000,000 and was part of the U.S.-GDP's 71.4% demonstrating a reduced value ratio between 1960-1969 and 2005-2014. The author describe a weighted duality of personhoods classification, a potential ripple effect violation, and presents a new description of a pathologic, malignant organic business model due to a negatively balanced [Consumption:Value] alteration. These findings highlight reduced marginal utility and value of the U.S.-Healthcare subsector.


1980 ◽  
Vol 12 (2) ◽  
pp. 165-165
Author(s):  
Mark Henry

In a recent article in this journal, DiPietre, Walker, and Martella presented the derivation of the Total Requirements Tables for the 1972 U.S. input-output study. As this same derivation is available from the Bureau of Economic Analysis, it is unfortunate that the article contains a minor algebraic error.The error is made in the derivation of equation 7 in the article and is carried through equations 8 and 9.


Author(s):  
W. Sanz ◽  
Carl-W. Hustad ◽  
H. Jericha

Carbon Capture and Storage (CCS) is a recognized technology pathway to curb the increasing emissions of carbon dioxide (CO2) from the power generation sector. But most available technologies are still on the study or laboratory-scale level, so that considerable R&D efforts are needed to achieve commercialization level. The Graz Cycle originally presented in 1995 by Jericha [1] is an oxyfuel technology and promises highest efficiency using state-of-the-art turbine materials and improved thermodynamic developments in a comparatively complex interaction of rotating machinery, condensers and heat exchanger components. But although detailed conceptual design for all main components has been presented, there is still a large step towards a Graz Cycle pilot demonstration plant. In order to facilitate construction of a demonstration plant we consider the performance of a near-term Graz Cycle process design based on modest cycle data and available turbomachinery components using a simplified flow scheme. The work is supported by on-going development work for a first generation oxyfuel turbine that has already been undertaken by Clean Energy Systems, Inc. [2]. Their further work on a second generation oxyfuel turbine received $30 million funding support from the U.S. Department of Energy in September 2010 [3]. Two near-term Graz Cycle plants are presented based on basic and advanced operating conditions of the proposed commercially available turbine. Besides the turbine the additional equipment for a first-generation cycle is discussed. The predicted optimum net efficiency is 23.2% (HHV). A near-term zero-emission power plant can only be commercially attractive if it will be deployed in a niche market. Therefore an economic analysis commensurate with an early pre-FEED conceptual study is carried out for the U.S. Gulf Coast where revenue from multiple product streams that could include power, steam, CO2 and water, as well as argon and (potentially) nitrogen from the ASU is provided. The economic analysis suggests that a capital investment of $94 million can secure construction of a 13.2 MWe zero emission oxyfuel power plant and yield a 14.5% (unlevered) return on capital invested.


Author(s):  
Stephen Coate ◽  
Brian Knight

Abstract The market for pets in the U.S. is important economically and socially. Pets differ from standard economic goods in significant ways, and the market displays a number of interesting problems, most notably pet overpopulation. Despite this, the market has been ignored by economists. This paper develops a dynamic model of the market for pets and uses it to study the problem of pet overpopulation. The positive predictions of the model square well with key features of the markets for dogs and cats in the U.S. The model is used to understand, from a welfare economic perspective, the sense in which there is overpopulation of pets and the underlying causes of the problem. The paper also employs the model to consider what policies might be implemented to deal with the problem. A calibrated example is developed to illustrate these corrective policies and quantify the potential welfare gains.


HortScience ◽  
2003 ◽  
Vol 38 (1) ◽  
pp. 128-130 ◽  
Author(s):  
Edmund M. Tavernier ◽  
Robin G. Brumfield

The greenhouse, nursery, and sod (GNS) sector in the United States accounted for $10 billion in gross sales or 5% of gross farm receipts, in 1998. Despite its significant economic contributions, the sector receives little attention from policymakers. Part of the problem lies in the absence of empirical economic analysis that addresses the impact of the sector on the U.S. economy. The absence of such analysis places the sector at a disadvantage when agricultural policies are designed to address agricultural imbalances, such as farm income problems, and hinders the ability of the sector to lobby for policies favorable to GNS producers. This study provides estimates of the economic impacts of the GNS sector on the U.S. economy and quantifies the linkages between the GNS sector and other economic sectors. The results show that the sector contributed over $26 billion and $17 billion in output and value added economic activity, respectively, and over 438,000 jobs.


1990 ◽  
Vol 19 (1) ◽  
pp. 37-48 ◽  
Author(s):  
Donald J. Liu ◽  
Harry M. Kaiser ◽  
Olan D. Forker ◽  
Timothy D. Mount

The market impacts of generic dairy advertising are assessed using an industry model which encompasses supply and demand conditions at the retail, wholesale, and farm levels, and government intervention under the dairy price support program. The estimated model is used to simulate price and quantity values for four advertising scenarios: (1) no advertising, (2) historical fluid advertising, (3) historical manufactured advertising, and (4) historical fluid and manufactured advertising. Compared to previous studies, the dairy-industry model provides additional insights into the way generic dairy advertising influences prices and quantities at the retail, wholesale, and farm levels.


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