scholarly journals A STUDY ON THE DETERMINANTS OF FINANCIAL PERFORMANCE OF U.S. AGRICULTURAL COOPERATIVES

2019 ◽  
Vol 20 (4) ◽  
pp. 633-647 ◽  
Author(s):  
Kuldeep Singh ◽  
Madhvendra Misra ◽  
Mohit Kumar ◽  
Vineet Tiwari

A significant number of studies have been made in the area of agricultural economics; however, there is a paucity of work that investigates factors or determinants which influence the financial performance of agro cooperatives. This paper investigates determinants of financial performance for the United States (U.S.) agricultural cooperatives for the period 2009–2017. By using the United States Department of Agriculture (USDA) database, we created a sample of 37 U.S. agro cooperatives. For analysis, we used panel regression analysis as it is suitable to deal with fixed effect or random effect error component presented in the model. Finding states that the U.S. agro cooperatives are found highly sensitive to economic policy uncertainty. The results provide evidence of a negative relationship between size and profitability. Moreover, the impact of growth and capital intensity is also reflected in the return on asset (ROA). In this study, we considered ROA as a proxy for firm performance. Implications and suggestions for further new research are also discussed.

2016 ◽  
Vol 6 (2) ◽  
pp. 197
Author(s):  
Vicar S. Valencia

This paper investigates the extent to which R&D alliance participation affects the survival performance of newly listed high tech firms. The estimation strategy identifies the impact through changes on a firm’s alliance status. Using longitudinal data on high tech firms that had an initial public offering in the United States, results suggest that R&D collaborating firms experience greater survival, relative to non-R&D collaborating firms. In particular, participation in an R&D alliance is associated with an attenuation of delistment due to poor financial performance.


2019 ◽  
Vol 6 (5) ◽  
pp. 131
Author(s):  
Wannakomol Supachart

The objective of this paper is to analyze the impact of economic policy uncertainty (EPU) in China, the United States, and Europe, which are influent to the Chinese stock markets. We employed Vector Autoregression (VAR) model with relative variables including the EPU indices and three Chinese stock markers indices to display the impulse responses of the markets to the EPUs. Our results indicate that the Chinese stock markets negatively respond to their domestic economic policy uncertainty in the first, second, and third month after the EPU shocks. Moreover, we also found the negative responses of the Chinese markets to the EPU from the United States that require five months to rebalance the markets. However, the Chinese markets seem positively respond to the shocks of the economic policy uncertainty in Europe and also took five months to archive market rebalancing. The significant correlation of the economic policy uncertainty between China and the United States resulted in cross-sectional correlation estimates among the EPU indices. Furthermore, there is the reasonable interesting result to claim that the economic policy uncertainty in China is statistically influenced by their own trade and fiscal policy uncertainty that may be considered to be related with China-US trade war in our conclusion.


2020 ◽  
Vol 15 (1) ◽  
pp. 127-141
Author(s):  
Mauro Joseph

AbstractThis paper explores the relationship between economic growth and intergenerational mobility in the United States. Data from metropolitan statistical areas in the U.S. is used to examine how two measures of intergenerational mobility impact growth rates. More precisely, I examine how absolute income mobility and relative income mobility are related the growth rate of real gross metropolitan product (RGMP) from 2001 to 2011. I find that absolute mobility has a positive relationship with RGMP growth over the time period, and that relative mobility exhibits a negative relationship with RGMP. Results are found to be robust to two stage least squares estimation.


2019 ◽  
Author(s):  
Samara Mendez

Tracking the capability of the egg production industry to supply the food industry with enough cage-free eggs to meet retailers' and restaurants' animal welfare commitments is important to industry groups and farm animal advocacy organizations alike. In this project, we synthesize an analysis-ready data set that tracks cage-free hens and the supply of cage-free eggs relative to the overall numbers of hens and table eggs in the United States. The data set is based on reports produced by the United States Department of Agriculture (USDA), which are published weekly or monthly. The data will be updated periodically as new USDA reports are released. We supplement these data with definitions and a taxonomy of egg products drawn from USDA and industry publications. The data include flock size (both absolute and relative) and egg production of cage-free hens as well as all table-egg-laying hens in the US, collected to understand the impact of the industry's cage-free transition on hens. Data coverage ranges from December 2007 to present. Initial analysis of cage-free trends shows that, as of the most recent version of this report, 26% of all table-egg-laying hens lived in cage-free systems. This figure represents an increase of 23 percentage points over the entire sample period of December 2007 to April 2020.Revised: May 29, 2020


2021 ◽  
Author(s):  
Yuxun Zhou ◽  
Mafizur Rahman Mohammad ◽  
Khanam Rasheda ◽  
Robert Taylor Brad

Abstract Purpose – In responding to COVID-19, governments around the world have imposed various restrictions with different levels of success. One important aspect of pandemic control is the willingness of individuals to stay home when possible. The purpose of this paper is to study the impact of government restrictions on human mobility in the United StatesMethodology/approach – Structural equation modelling is used to explore the issue. First, we use path regression analysis and factor analysis to identify the main factors that influence mobility. Second, we use total effect decomposition to investigate the deeper relationship between government restrictions and human mobility.Finding – Two important findings are revealed First, the economic environment is the fundamental and direct factor affecting human mobility. There is a significant negative relationship between economic environment and human mobility, meaning that where economic conditions are bad mobility is greater. Second, government restrictions and the scale of the pandemic do not directly affect human mobility. Government restriction indirectly influences human mobility through economic environment as a mediating variable. Therefore, the economic environment has a significant mediating effect.Originality/value – Existing literature lacks research on the mediating effect between government restrictions and human mobility. This paper provides new empirical evidence for the research topic by studying the mediating effect between government restrictions and human mobility. This provides policymakers with a more detailed picture of the processes through which policies operate.


2020 ◽  
Vol 10 (4) ◽  
pp. 385-402
Author(s):  
José Osorio-Antonia ◽  
Lila Margarita Bada-Carbajal ◽  
Luis Arturo Rivas-Tovar

PurposeThe purpose of this paper is twofold. First, the impact of the North American Free Trade Agreement (NAFTA) on the agribusinesses of corn production in Mexico is analyzed, taking into special consideration the policy of encouragement to small producers, productive restructuring and identification of positive and negative effects. Second, the evolution of the US–Mexican maize belts (1994–2017) is analyzed, establishing the economic and political impacts with respect to NAFTA.Design/methodology/approachThe paper opted for a documentary meta-analysis study using data from the United States Department of Agriculture (USDA) and the System of Agricultural and Fishery Information (SIAP) in Mexico. The data were completed with documentary analysis of research on maize productivity.FindingsProvided is the information about the impacts of maize belts in the United States (US) and Mexico, where it was determined that the leading states maintained productive hegemony to a greater and lesser extent and that Mexico experienced a productive reorientation. The findings show that it is a myth that there are losers in the maize agroindustry of Mexico and the United States as it is suggested that after twenty-four years they have become complementary.Research limitations/implicationsSummarized is the state of knowledge from 1994 to 2017, aligned to the databases of the United States and Mexico.Originality/valueA need to study the relation between the productive evolution of maize production and NAFTA is identified.


SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A277-A278
Author(s):  
M A Silva ◽  
E M Brennan ◽  
E Noyes ◽  
A Royer ◽  
R Nakase-Richardson

Abstract Introduction For persons with moderate-to-severe traumatic brain injury (TBI), chronic cognitive impairment contributes to long term disability. Health comorbidities may contribute to the neurologic burden in TBI. Indeed, obstructive sleep apnea (OSA) is associated with neuropathological and cognitive changes. The objective of this study was to examine the relationship between OSA and cognition after TBI. Methods Participants were prior inpatient rehabilitation patients drawn from the Tampa VA TBI Model Systems longitudinal study. Post-discharge interviews occurred 2 to 6 years post-TBI. Participants reported whether they were diagnosed with OSA and completed the Brief Test of Adult Cognition by Telephone (BTACT) which measures recall, working memory, processing speed, fluency, and reasoning. Participants with polysomnography (PSG) were separately analyzed to examine the impact of sleep apnea severity (i.e., Apnea-Hypopnea Index [AHI]) on cognition. Results Participants (N=104) were mostly male (95.2%), age M=37.7 (SD=12.5), Education M=13.6 years (SD=2.1), and 45.2% were diagnosed with OSA. Participants with and without OSA did not differ by age, education, gender, or time since injury at time of BTACT (ps > .05). ANCOVAs were conducted examining OSA diagnosis on BTACT subscale scores, covarying TBI severity level, but results did not reach statistical significance (ps > .05). A subset of participants with OSA had PSG (n=27), AHI score quartiles = 6.7/10.4/21.6. Higher AHI was associated with poorer reasoning (Spearman ρ = -0.45, p = .019). Nonsignificant results were found for word recall (Spearman ρ = -0.35, p = .074) and processing speed (Spearman ρ = -0.36, p = .069). Conclusion Severity of sleep apnea may influence aspects of cognition among persons with TBI, although these results are preliminary and need replication with a larger and more representative sample. Support This work was supported by the Veterans Health Administration Central Office VA TBI Model Systems Program of Research and subcontract from General Dynamics Information Technology [W91YTZ-13-C-0015, HT0014-19-C-0004] from the Defense and Veterans Brain Injury Center (DVBIC); and from the United States Department of Veterans Affairs [W81XWH-13-2-0095]; and from the United States Department of Defense Congressionally Directed Medical Research Programs; and from the Patient Centered Outcomes Research Institute (PCORI) [CER-1511-33005].


2021 ◽  
Author(s):  
Dejan Romih

Although the Covid-19 pandemic (the Great Lockdown), which began in March 2020, is not over yet (mainly due to new SARS-CoV-2 variants, such as Delta), there is already a growing body of evidence that suggests that the Covid-19 pandemic has contributed to an increase in economic policy uncertainty in the United States and the rest of the world. In this paper, I examine the impact of economic policy uncertainty on industrial production in the United States before the Covid-19 pandemic. Using vector autoregression, I found that industrial production in the United States responds negatively to a positive economic policy uncertainty shock in the United States. This suggests that US economic policymakers need to prevent economic policy uncertainty in the United States


Policy Papers ◽  
2013 ◽  
Vol 2013 (60) ◽  
Author(s):  

High uncertainty in general, and high policy uncertainty more specifically, can have important impact on global investment and output growth. Much of the recent policy uncertainty emanated from the United States and Europe—the world’s two largest economies. Spillovers from policy uncertainty can occur through several channels. Trade can be affected if increased policy uncertainty adversely affects economic activity and import demand in the United States and Europe. Policy uncertainty could also raise global risk aversion, resulting in sharp corrections in financial markets and capital outflows from emerging markets. This background note attempts to quantify the impact of U.S. and European policy uncertainty on other regions. Specifically, it addresses the following questions: What do we mean by policy uncertainty? How well can we measure it? How has policy uncertainty in the United States and Europe evolved during the past several decades? And how large are the spillovers to economic activity in other regions? The analysis suggests that sharp increases in U.S. and European policy uncertainty in the past have temporarily lowered investment and output in other regions to varying degrees. It also suggests that a marked decrease in policy uncertainty in the United States and Europe in the near term could help boost global investment and output.


Author(s):  
Kevin A. Sabet ◽  
Ken C. Winters

This chapter reviews policy implications associated with legalizing marijuana for medical and recreational purposes. The authors discuss the current landscape and attitudes toward marijuana use and review the enforcement polices of the federal government, including the impact of policies within the United States Department of Justice and the United States Government Accountability Office. The chapter also examines the expanding marijuana industry and warns against the growth of ‘Big Marijuana’ and the industry’s ability to influence policy. Finally, after reviewing the important pros and cons of legalizing this drug, the authors offer several guidelines for states to optimize care when legalization is implemented.


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