Economic Impact of Off-Flavor to the U.S. Catfish Industry

This chapter discusses the origins of the 2007 financial crisis, subprime lending, and government-sponsored entities. It argues that the events driving financial markets to the precipice of collapse during the global financial meltdown gave rise to a regulatory framework that may have been a rational response to a market in free fall, but need to be reassessed in an era of recovery. In 2018, the U.S. economy may be, by many measures, viewed as wholly recovered from the economic impact of the crisis. The stock market is trading at record highs, having erased all the losses of the crisis period and then some. With this recovery, the Trump administration seeks to restrain the regulatory burden imposed during the crisis.

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Economic Impact of Aluminum-Intensive Vehicles on the U.S. Automotive Recycling Infrastructure

Journal of Industrial Ecology ◽

10.1162/108819800569717 ◽

2000 ◽

Vol 4 (2) ◽

pp. 117-134 ◽

Cited By ~ 23

Author(s):

Jane E. Boon ◽

Jacqueline A. Isaacs ◽

Surendra M. Gupta

Keyword(s):

Economic Impact ◽

The U.S

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Travel in the U.S.: 1972-1983; Trends and Economic Impact. Carlton S. Van Doren, Graham P. Brown, and Daniel R. Fesenmaier. Proceedings of the National Outdoor Recreation Trends Symposium II, vol. I, 1985, pp. 139-154. National Park Service Science Publications Office, 75 Spring Street, S.W., Atlanta, Georgia 30303

Journal of Travel Research ◽

10.1177/004728758602400455 ◽

1986 ◽

Vol 24 (4) ◽

pp. 40-40

Keyword(s):

Economic Impact ◽

National Park ◽

Outdoor Recreation ◽

National Park Service ◽

Service Science ◽

Spring Street ◽

Park Service ◽

The U.S

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Understanding the Economic Impact of the H-1B Program on the U.S.

SSRN Electronic Journal ◽

10.2139/ssrn.2883348 ◽

2016 ◽

Author(s):

John Bound ◽

Gaurav Khanna ◽

Nicolas Morales

Keyword(s):

Economic Impact ◽

The U.S

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A study on Economic Impact in the Context of American Election Based On AHP

Journal of Economic Science Research ◽

10.30564/jesr.v4i2.2775 ◽

2021 ◽

Vol 4 (2) ◽

Author(s):

Yang Yue ◽

Haomiao Niu ◽

Zhaoyun Gu

Keyword(s):

Environmental Protection ◽

Economic Impact ◽

Pearson Correlation ◽

Chinese Economy ◽

Control Measures ◽

Oil Consumption ◽

Analytic Hierarchy ◽

The Impact ◽

The U.S ◽

China’S Economy

In order to assess the economic impact of the different policies of the Trump and Biden candidates, we formulate metrics on five aspects: Covid-19 prevention and control measures, environmental protection policies, taxation, health care reform, foreign trade. Moreover, each metric is subdivided into several secondary metrics, making for a three-tier hierarchical structure. Take environmental protection policy as an example: Without direct data under Biden's policies, we collected data on U.S. CO2 emissions and U.S. oil consumption during Obama's presidency as Biden's legacy.First, use the analytic hierarchy process (AHP) to select indicators that can reflect the U.S. economy and determine the weight of each indicator. For the U.S. economy, Biden scored 2.6498, Trump 2.3502, suggesting that the election of Biden might make things better for the economy. For China's economy, Biden scored 0.6810 and Trump 0.3245, meaning Biden could give the Chinese economy more room to grow.To reduce the influence of AHP subjectivity on the results, Pearson correlation coefficient is introduced to establish P-AHP model. Take the impact on China's economy. Biden scored 0.5846 and Trump 0.4154.

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Small Business Institute Economic Impact Evaluation

American Journal of Small Business ◽

10.1177/104225878300800110 ◽

1983 ◽

Vol 8 (1) ◽

pp. 41-51 ◽

Cited By ~ 10

Author(s):

George T. Solomon ◽

K. Mark Weaver

Keyword(s):

Small Business ◽

Economic Impact ◽

Small Businesses ◽

Impact Evaluation ◽

Initial Study ◽

Small Business Administration ◽

Value Analysis ◽

Pilot Survey ◽

New Methodologies ◽

The U.S

Since the inception of the Small Business Institute (SBI) Program in 1972, the U.S. Small Business Administration (SBA) has conducted numerous client reaction and/or perceived value analysis evaluations. However, both the SBA and the Office of Management and Budget (OMB) were more interested in evaluating the objective utility and economic impact of the SBI Program. This article shares with the readers the results of the first national pilot survey of the Economic Impact of the SBI Program on client small businesses. This initial study not only examined the economic impact of the SBI Program but also introduced and tested new methodologies which might be useful in developing a generally accepted technique to collect and analyze the level of economic impact on client businesses assisted by the SBI program. The results of the study indicate that those small businesses receiving counseling assitance from the SBI Program showed more positive increases in their employment and financial profiles than comparable small businesses. Finally, the scope and depth of the SBI consultant teams recommendations directly affected the level and intensity of the positive changes.

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International Real Estate Review

International Real Estate Review ◽

10.53383/100310 ◽

2020 ◽

Vol 23 (4) ◽

pp. 467-482

Author(s):

Fathali Firoozi ◽

◽

Abolhassan Jalilvand ◽

Donald Lien ◽

Mikiko Oliver ◽

...

Keyword(s):

Real Estate ◽

Economic Impact ◽

Population Aging ◽

Housing Prices ◽

The Elderly ◽

Damping Effect ◽

The World ◽

Behavioral Divergence ◽

The Impact ◽

The U.S

Population aging and its economic impact have been receiving increasing attention in many countries around the world. This study offers an analysis of the impact of aging on the housing prices in Singapore relative to the U.S. as the benchmark. The study uses semiannual series over the period of 1998 to 2019 with the age subgroups organized in 5-year intervals. The literature contains conflicting arguments on the impacts of aging on housing prices. Based on observations made for Singapore and the U.S., this study supports the arguments that the elderly part of a population has a damping effect on housing prices. A novel behavioral divergence between Singapore and the U.S. emerges when the analysis focuses on the impact of the finer age subgroups on housing prices in the two countries. The “turning age”, which is defined as the approximate cut-off age when the impact of aging on housing prices turns from positive to negative, is approximately 55 years old in Singapore and 60 years old in the U.S.

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