An Econometric Demand Model for Florida Green-skin Avocados

This article develops an inverse demand model for Florida green-skin avocados (Persea americana). Information from the model is used to assess the likely impact on growers’ prices resulting from a reduction in the supply of Florida green-skin avocados due to a recent outbreak of a deadly fungus in the Florida commercial avocado production area. Consideration is also given to the increased supply of green-skin avocados imported to the United States from the Dominican Republic (DR), as well as the increased availability of ‘Hass’ avocado in the U.S. market. The estimated own price flexibility of –0.551 evaluated at the mean suggests that Florida avocado prices are not very responsive to changes in quantity supplied. A reduction in the quantity supplied is likely to bring about a less than proportionate rise in the price. Moreover, any noticeable rise in prices due to the impact of the disease is likely to be short lived and may be insufficient to cover additional grove management costs. In the longer run, prices are expected to revert closer to their long-run trend (or decrease) as a result of increased shipments from the DR, and further increases in the availability of ‘Hass’ avocados.

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The Impact of Monetary and Fiscal Policies on the Stock Market in the United States (U.S); Evidence from Linear ARDL Framework

11th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES - Global Conference on Business and Social Sciences Proceeding ◽

10.35609/gcbssproceeding.2020.11(132) ◽

2020 ◽

Vol 11 (1) ◽

pp. 132-132

Author(s):

Aref Emamian

Keyword(s):

United States ◽

Stock Market ◽

The United States ◽

Real Effective Exchange Rate ◽

Annual Data ◽

Fiscal Policies ◽

Long Run ◽

The Us ◽

Short Run ◽

The Impact

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States

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Laurel Wilt: Current and Potential Impacts and Possibilities for Prevention and Management

Forests ◽

10.3390/f12020181 ◽

2021 ◽

Vol 12 (2) ◽

pp. 181

Author(s):

Rabiu O. Olatinwo ◽

Stephen W. Fraedrich ◽

Albert E. Mayfield

Keyword(s):

United States ◽

Tree Mortality ◽

The United States ◽

Persea Americana ◽

Laurel Wilt ◽

Important Species ◽

Invasive Insects ◽

Raffaelea Lauricola ◽

Redbay Ambrosia Beetle ◽

The Impact

In recent years, outbreaks of nonnative invasive insects and pathogens have caused significant levels of tree mortality and disturbance in various forest ecosystems throughout the United States. Laurel wilt, caused by the pathogen Raffaelea lauricola (T.C. Harr., Fraedrich and Aghayeva) and the primary vector, the redbay ambrosia beetle (Xyleborus glabratus Eichhoff), is a nonnative pest-disease complex first reported in the southeastern United States in 2002. Since then, it has spread across eleven southeastern states to date, killing hundreds of millions of trees in the plant family Lauraceae. Here, we examine the impacts of laurel wilt on selected vulnerable Lauraceae in the United States and discuss management methods for limiting geographic expansion and reducing impact. Although about 13 species belonging to the Lauraceae are indigenous to the United States, the highly susceptible members of the family to laurel wilt are the large tree species including redbay (Persea borbonia (L.) Spreng) and sassafras (Sassafras albidum (Nutt.) Nees), with a significant economic impact on the commercial production of avocado (Persea americana Mill.), an important species native to Central America grown in the United States. Preventing new introductions and mitigating the impact of previously introduced nonnative species are critically important to decelerate losses of forest habitat, genetic diversity, and overall ecosystem value.

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Economic crises and emission of pollutants: a historical review of select economies amid two economic recessions

Ekonomika ◽

10.15388/ekon.2016.1.9904 ◽

2016 ◽

Vol 95 (1) ◽

pp. 7-21 ◽

Cited By ~ 3

Author(s):

Andriy Stavytskyy ◽

Vincent Giedraitis ◽

Darius Sakalauskas ◽

Maik Huettinger

Keyword(s):

Historical Review ◽

The United States ◽

Gdp Per Capita ◽

Economic Crises ◽

Greenhouse Gasses ◽

Long Run ◽

Per Capita ◽

Carbon Dioxide Co2 ◽

Human Pollution ◽

The Impact

This paper investigates the historical trends in economic development through the impact of economic depressions and emissions of greenhouse gasses, namely carbon dioxide (CO2). The analysis includes four countries: the United States, the United Kingdom, Germany and Japan. The focus, therefore, will be on the impact of two economic crises and their effect on global warming. Temperature changes in the longer period are very often regarded as a result of human activity, which can be measured by the increase of GDP (per capita). The findings indicate that GDP (per capita) parameters cannot be considered as correct measures of human pollution activity. The results show that the long-run temperature can be evaluated with the help of annual average temperatures of the previous four years. The proposed model does not only provide quite satisfactory forecasts, but is very stable with coefficients variables that can make a model more reliable for practice.

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OR30-01 Real-World Minimed™ 670G System Use and Glycemic Outcomes of Pediatric and Adult Individuals Living with Type 1 Diabetes (T1D) in the United States

Journal of the Endocrine Society ◽

10.1210/jendso/bvaa046.1708 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

Author(s):

Robert Alan Vigersky ◽

Michael Stone ◽

Pratik Agrawal ◽

Alex Zhong ◽

Kevin Velado ◽

...

Keyword(s):

Glycemic Control ◽

Real World ◽

Adult Population ◽

Age Groups ◽

The United States ◽

System Use ◽

System Data ◽

The Mean ◽

The Impact ◽

The U.S

Abstract Introduction: The MiniMed™ 670G system was FDA-approved in 2016 for adults and adolescents ≥14yrs, and in 2018 for children ages 7-13yrs with T1D. Since then, use of the system has grown to over 180,000 people in the U.S. The glycemic control benefits of real-world MiniMed™ 670G system Auto Mode use in the U.S. were assessed. Methods: System data (aggregated five-minute instances of sensor glucose [SG]) uploaded from March 2017 to July 2019 by individuals (N=118,737) with T1D and ≥7yrs of age who enabled Auto Mode were analyzed to determine the mean % of overall time spent <54mg/dL/<70mg/dL (TBR); between 70-180mg/dL (TIR); and >180mg/dL/>250mg/dL (TAR). The impact of Auto Mode was further assessed in a sub-group of individuals (N=51,254) with, at least, 7 days of SG data for both Auto Mode turned ON and turned OFF. The % of TIR, TBR and TAR, and the associated glucose management indicator (GMI) were evaluated for the overall OFF (2,524,570 days) and ON (6,308,806 days) periods, and across different age groups. Results: System data TIR was 71.3%; TBR was 0.4% and 1.9%, respectively; and TAR was 26.8% and 6.2%, respectively. User-wise data of Auto Mode OFF versus ON showed a mean of 70.3% of the time spent in Auto Mode, that TIR increased from 60.9% to 69.9%; and that both TBR and TAR decreased. For those 7-13yrs (N=1,417), TIR increased from 48.7% to 61.5%; TBR increased from 0.5% to 0.6% and from 2.0% to 2.2%, respectively; and TAR decreased from 49.3% to 36.3% and from 20.5% to 13.0%, respectively. For those 14-21yrs (N=4,194), TIR increased from 51.0% to 61.5%; TBR decreased from 0.7% to 0.6% and from 2.3% to 2.0%, respectively; and TAR decreased from 46.7% to 36.5% and from 18.5% to 12.5%, respectively. For those ≥22yrs (N=45,643), TIR increased from 62.2% to 70.9%; TBR decreased from 0.7% to 0.5% and from 2.6% to 1.9%, respectively; and TAR decreased from 35.2% to 27.3% and from 9.9% to 6.3%, respectively. The mean GMI decreased by 0.23% (overall), 0.48% (7-13yrs), 0.35% (14-21yrs), and 0.22% (≥22yrs), respectively, with Auto Mode ON versus OFF. Discussion: In over 6 million days of real-world MiniMed™ 670G system Auto Mode use in the U.S., TIR of a large pediatric and adult population with T1D improved by 9% compared to when Auto Mode was OFF, which was comparable to or exceeded the TIR observed in the smaller pivotal trials. These results further support outcomes of the pivotal trials and increased glycemic control with system use.

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Dietary and herbal supplements for weight loss: assessing the quality of patient information online

Nutrition Journal ◽

10.1186/s12937-021-00729-x ◽

2021 ◽

Vol 20 (1) ◽

Author(s):

Jeremy Y. Ng ◽

Saad Ahmed ◽

Catherine Jiayi Zhang

Keyword(s):

Weight Loss ◽

Health Information ◽

Healthcare Providers ◽

The United States ◽

Consumer Health Information ◽

Consumer Health ◽

High Quality ◽

The Mean ◽

The Impact

Abstract Background Given the high prevalence of dietary and herbal supplement (DHS) use in tandem with the growing ease of internet access, patients commonly search online for consumer health information about these products. One common reason for DHSs use includes weight loss. Healthcare providers need to be aware of the quality of online information about DHSs for weight loss so they can adequately counsel their patients and provide them with guidance surrounding the identification of high-quality information resources. This study aimed to assess the quality of online DHSs consumer health information for weight loss that a “typical” patient might access online. Methods Six search terms were used to generate the first 20 websites on the Google search engine in four countries: Australia, Canada, the United Kingdom, and the United States (n = 480 websites). After applying exclusion criteria, eligible websites were quality assessed using the DISCERN instrument. This tool is comprised of 16 questions, each evaluated on a 5-point scale. The averages and standard deviations for each DISCERN instrument item, in addition to overall summed scores between 15 and 75 were calculated. Results Across 87 eligible websites, the mean summed score was 44.80 (SD = 11.53), while the mean overall DISCERN score of each website was 2.72 (SD = 0.99). In general, websites detailed and achieved their specified aims and described treatment benefits. However, most websites failed to describe the impact of treatment on overall quality of life and the impact of a no treatment option. The highest-scoring websites were largely government or health portal websites, while the lowest-scoring websites were largely commercial in nature. Conclusion High variability in DISCERN instrument scores was found across all websites assessed. Healthcare providers should be aware of the fact that their patients may be accessing misinformation online surrounding the use of DHSs for weight loss. Therefore, it is important for healthcare providers to ensure that they are providing their patients with guidance on how to identify high-quality resources online, in order that safe, effective, and evidence-based decisions are made surrounding the use of DHSs for weight loss.

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Exploring the impact of plant-based milk alternatives in the US

10.31219/osf.io/j89qm ◽

2021 ◽

Author(s):

Samara Mendez ◽

Jacob Peacock

Keyword(s):

The United States ◽

Milk Consumption ◽

Demand Model ◽

Milk Products ◽

Data Variability ◽

The Us ◽

Dairy Milk ◽

The Impact ◽

The Relationship ◽

Different Sources

This project aims to evaluate the impact of the increasing availability of plant-based milk alternatives on demand for fluid dairy milk in the United States. We investigate this question by conducting three analyses: (1) gathering and comparing different sources of plant-based sales data to investigate data variability and to determine whether plant-based milk sales are sufficient to replace declining dairy sales, (2) summarizing research on the relationship between plant-based and dairy milks to determine whether the products are price substitutes for each other, and (3) estimating demand for whole and 2% dairy milk in separate periods between 2001-2019 and comparing one period's responsiveness to price fluctuations against the other period to determine whether dairy milk demand has undergone major changes that could have been caused by the expansion of plant-based milk products. Our results confirm that the volume plant-based milk consumed has increased over time, but not enough to fully explain the observed decline in dairy milk consumption. We find that dairy sales are relatively insensitive to changes in prices of plant-based milks while plant-based milk sales respond to changes in prices of lower-fat dairy milks more than higher-fat dairy milks. Unusual data patterns and estimation results suggest that the dairy demand model needs refinement before drawing confident conclusions, but our tentative findings indicate that whole and 2% dairy milk consumption is decreasing despite decreases in price and that consumer responsiveness may have changed in recent years. That said, the overall results suggest that we cannot confidently attribute all of this potential change in dairy milk demand to consumption of plant-based milk products.

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The debate over Hubbert’s Peak: a review

GeoArabia ◽

10.2113/geoarabia1102181 ◽

2006 ◽

Vol 11 (2) ◽

pp. 181-210 ◽

Cited By ~ 2

Author(s):

Moujahed Al-Husseini

Keyword(s):

Production Rate ◽

Oil And Gas ◽

Oil Production ◽

The United States ◽

United States Geological Survey ◽

Recoverable Reserves ◽

Long Run ◽

Crude Oil Production ◽

The Mean ◽

Oil And Gas Companies

ABSTRACT The application of various quantitative techniques and assumptions by different authors to forecast the world’s conventional crude oil production in the 21st Century results in highly inconsistent predictions. The forecasts attempt to pinpoint the peak world oil production year (Hubbert’s Peak), peak production rate, and post-peak decline rate, based on estimates of the ultimate recoverable reserves (EURR). These techniques, pioneered by M.K. Hubbert in the mid-1950s, generally consider economic factors, such as the price of oil, as irrelevant in the long run. Some authors support a Low EURR World Scenario (about 2.0 trillion barrels, of which half has already been produced) and forecast Hubbert’s Peak in this decade. Other authors estimate the EURR at about 3.0 trillion barrels (Median EURR World Scenario), and this estimate is the mean EURR assessment of the United States Geological Survey and similar to assessments by several major oil and gas companies. An EURR of 3.0 trillion barrels implies Hubbert’s Peak will occur in 2020, or so, at a production rate of about 90–100 million barrels/day (compared to 85 million barrels/day in late 2005). A few authors support a High EURR World Scenario (4.0 trillion barrels or more) with Hubbert’s Peak in 2030 at a rate of 120 million barrels/day. Sensitivity analysis for Hubbert’s Curve suggest that Hubbert’s Peak moves by three years for every 200 billion barrels of error in the EURR.

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Identification of Harvest Maturity Indicators for ‘Hass’ Avocado Adaptable to Field Conditions

HortTechnology ◽

10.21273/horttech04025-18 ◽

2018 ◽

Vol 28 (6) ◽

pp. 815-821 ◽

Cited By ~ 1

Author(s):

Pablo Rodriguez ◽

Juan Camilo Henao ◽

Guillermo Correa ◽

Ana Aristizabal

Keyword(s):

Fruit Development ◽

Development Time ◽

Principal Component ◽

The United States ◽

International Markets ◽

Fruit Color ◽

Persea Americana ◽

Market Requirements ◽

Hass Avocado ◽

Harvest Maturity

‘Hass’ avocado (Persea americana) is a fruit in high demand in international markets, and Colombia is expanding its export to the United States. Avocado quality and shelf life are related to its harvest time. However, there is not enough information on harvest indicators in Colombia that allow producers to adequately harvest fruit to comply with market requirements. Therefore, the aim of this study was to estimate maturity indicators during two harvest periods. We harvested fruit between the years 2016 and 2017 in eight farms distributed in three regions of the Department of Antioquia, Colombia, and selected those in the postanthesis stages. We assessed variables such as fruit color, weight, dimensions, oil content (OC), and dry matter (DM). The results were analyzed using simple and multiple regressions as well as by principal component analysis (PCA). The results showed a high linear relation between DM and OC (R2 ≥ 78.88) and a significant relation between OC, rainfall, fruit development time, and environmental temperature. Nondestructive indicators that allow the establishment of DM in the field (R2 ≥ 73.57) varied according to the region and included fruit color (L*, b*), volume (P ≤ 0.05), and fruit development time. These indicators could reduce maturity heterogeneity during the harvest period.

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The Effect of Scale, Technique, Composition and Trade Openness on Energy Demand: Fresh Evidence from Malaysia

10.31235/osf.io/xy2z6 ◽

2019 ◽

Author(s):

Muhammad Shahbaz ◽

Md. Mahmudul Alam ◽

Gazi Salah Uddin ◽

Loganathan Nanthakumar

Keyword(s):

Energy Consumption ◽

Energy Demand ◽

Structural Breaks ◽

Negative Impact ◽

Trade Openness ◽

Growth Effect ◽

Demand Model ◽

Bounds Testing ◽

Long Run ◽

The Impact

The aim of this paper utilizes an energy demand model to investigate the impact of trade openness on energy consumption by incorporating scale and technique, composition and urbanization effects in the case of Malaysia. The study covers the sample period of 1970-2011 using quarter frequency data. We applied the bounds testing approach in the presence of structural breaks to examine the long run relationship between the variables. The VECM Granger causality is used to detect the direction of causality between the variables. Our findings indicate that growth effect (scale and technique effect) has a positive (negative) impact on energy consumption whereas composition effect stimulates energy demand in Malaysia.. Energy consumption is positively influenced by both from openness and urbanization. This study opens new policy insights for policy making authorities to articulate a comprehensive energy and trade policy to sustain economic growth and improve the environmental quality of Malaysia.

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Tax reform initiated by D. Trump: Economic and social aspects

Finance and Credit ◽

10.24891/fc.27.3.693 ◽

2021 ◽

Vol 27 (3) ◽

pp. 693-720

Author(s):

Elena Yu. MAKUSHINA ◽

Dar'ya M. KARMANOVA ◽

Aleksei S. KUCHER

Keyword(s):

United States ◽

Policy Development ◽

Tax Reform ◽

The United States ◽

Subsequent Increase ◽

Tax Revenues ◽

Long Run ◽

Macroeconomic Indicators ◽

The Impact ◽

The U.S

Subject. The article addresses the tax reform of 2017, initiated by D. Trump. Objectives. The aim is to determine the relationship between the total volume of tax revenues to the budget of the U.S. Government and the growth of U.S. GDP in the long run. Methods. To identify the impact of the tax reform on the investment climate in the country and the subsequent GDP growth, we formulate a hypothesis and propose a regression model. The quarterly data from 04.01.1960 to 07.01.2019 serve as a statistical sampling, published by financial departments of the U.S. Office of Management and Budget and the U.S. Bureau of Economic Analysis. The study rests on the econometric analysis enabling to identify the impact of the volume of tax revenues from the corporate income tax and individual income taxes on the level of the GDP of the United States. Results. In the short term, we observe a decrease in tax revenues and a subsequent increase in the budget deficit, in the long term – an increase in business activity of the country, a growth in foreign direct investment, and, consequently, an increase in the GDP. The paper offers a model for assessing the economic growth of the GDP of the United States, in which tax predictors were used in combination with macroeconomic indicators. Conclusions. The experience of the United States and the results of this study may be used by the governments of developing countries and experts in the field of taxation for tax policy development.

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