Mining the Sea

2020 ◽  
Vol 6 (2) ◽  
pp. 222-249
Author(s):  
Timothy P. Clark
Keyword(s):  
Narrative Analysis ◽  
Food Systems ◽  
Food System ◽  
Time Series Data ◽  
The United States ◽  
Atlantic Menhaden ◽  
Series Data ◽  
Structural Factors ◽  
World Food ◽  
Internal Comparison

Using primary and secondary historical data, descriptive time-series data, and site observations, this study unpacks the developmental history of one of the United States' oldest, largest, and still working fisheries. This study uses narrative analysis to explore how processes of commodification and the institutional workings of capitalist food regimes drove specific developmental outcomes. Internal comparison across periods enables an analysis of why the fishery declined in recent decades. The case also reveals important dynamics of the capitalist world food system and demonstrates how intersectional considerations, particularly the intersection of race and class dynamics, can bolster the “tragedy of the commodity” theoretical framework. The study thus tests and expands on that framework by including the considerations of cross-cutting inequalities and the world food system. Overall, this study demonstrates how the demands of generalized commodity production, in conjunction with the institutional parameters of a world capitalist food system, link processes of development across terrestrial and aquatic food systems. Furthermore, the internal comparison elucidates the socio-structural factors that drove the severe decline of the 170-year-old Atlantic menhaden fishery.

Agro-Food System Restructuring and the Geographic Concentration of US Swine Production

10.1068/a352 ◽  
2003 ◽  
Vol 35 (2) ◽  
pp. 215-229 ◽  
Author(s):  
Rick Welsh ◽  
Bryan Hubbell ◽  
Chantal Line Carpentier
Keyword(s):  
Food Systems ◽  
Food System ◽  
Time Series Data ◽  
National Level ◽  
State Level ◽  
Series Data ◽  
Swine Industry ◽  
Geographic Concentration ◽  
Hog Production ◽  
State And Local

The US swine industry has dramatically reorganized over the last two decades. Economic concentration in the slaughter sector has increased and hog production has consolidated economically and geographically. Increases in the geographic concentration of hog production have led to water pollution through spills and leakage from high numbers of very large manure storage lagoons centered within limited areas, such as a few counties. The global restructuring of agro-food systems has promoted the development of intensive and concentrated livestock production. However, national, state and local institutions, and dynamics have also influenced the structure of geographic concentration of hog production. Using state-level and national-level time series data from 1975–1996, we find that national-level increases in concentration in the hog-processing sector are positively associated with geographic concentration of production within states. However, we also find that state, and even local, government policy can mitigate, or worsen, the geographic concentration of hog production.

Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

2017 ◽  
Vol 1 (2) ◽  
pp. 177-191
Author(s):  
Rizki Rahma Kusumadewi ◽  
Wahyu Widayat
Keyword(s):  
Time Series ◽  
Exchange Rate ◽  
Money Supply ◽  
Time Series Data ◽  
The United States ◽  
Economic Conditions ◽  
Series Data ◽  
Arch Model ◽  
United States Dollar ◽  
The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

scholarly journals The Economic, Social, and Environmental Impacts of Farmers Markets: Recent Evidence from the US

2021 ◽  
Vol 13 (6) ◽  
pp. 3423
Author(s):  
Phillip Warsaw ◽  
Steven Archambault ◽  
Arden He ◽  
Stacy Miller
Keyword(s):  
Food Systems ◽  
Food System ◽  
Agricultural Practices ◽  
The United States ◽  
Current Evidence ◽  
Farmers Markets ◽  
Future Research ◽  
Regional Food ◽  
Recent Scholarship ◽  
Fresh Food

Farmers markets are regular, recurring gatherings at a common facility or area where farmers and ranchers directly sell a variety of fresh fruits, vegetables, and other locally grown farm products to consumers. Markets rebuild and maintain local and regional food systems, leading to an outsized impact on the food system relative to their share of produce sales. Previous research has demonstrated the multifaceted impacts that farmers markets have on the communities, particularly economically. Recent scholarship in the United States has expanded inquiry into social impacts that markets have on communities, including improving access to fresh food products and increasing awareness of the sustainable agricultural practices adopted by producers, as well developing tools for producers and market stakeholders to measure their impact on both producers and communities. This paper reviews the recent scholarship on farmers markets to identify recent trends and synthesizes the current evidence describing the ways in which farmers markets contribute to the wellbeing of their communities, as well as identifying areas for additional future research.

scholarly journals Associations between Google Search Trends for Symptoms and COVID-19 Confirmed and Death Cases in the United States

2021 ◽  
Vol 18 (9) ◽  
pp. 4560
Author(s):  
Mostafa Abbas ◽  
Thomas B. Morland ◽  
Eric S. Hall ◽  
Yasser EL-Manzalawy
Keyword(s):  
Functional Data ◽  
Time Series Data ◽  
Principal Component ◽  
State Level ◽  
The United States ◽  
Functional Principal Component Analysis ◽  
Series Data ◽  
Dynamic Correlation ◽  
The Us ◽  
Google Search

We utilize functional data analysis techniques to investigate patterns of COVID-19 positivity and mortality in the US and their associations with Google search trends for COVID-19-related symptoms. Specifically, we represent state-level time series data for COVID-19 and Google search trends for symptoms as smoothed functional curves. Given these functional data, we explore the modes of variation in the data using functional principal component analysis (FPCA). We also apply functional clustering analysis to identify patterns of COVID-19 confirmed case and death trajectories across the US. Moreover, we quantify the associations between Google COVID-19 search trends for symptoms and COVID-19 confirmed case and death trajectories using dynamic correlation. Finally, we examine the dynamics of correlations for the top nine Google search trends of symptoms commonly associated with COVID-19 confirmed case and death trajectories. Our results reveal and characterize distinct patterns for COVID-19 spread and mortality across the US. The dynamics of these correlations suggest the feasibility of using Google queries to forecast COVID-19 cases and mortality for up to three weeks in advance. Our results and analysis framework set the stage for the development of predictive models for forecasting COVID-19 confirmed cases and deaths using historical data and Google search trends for nine symptoms associated with both outcomes.

scholarly journals Grappling With Complex Food Systems to Reduce Obesity: A US Public Health Challenge

2018 ◽  
Vol 133 (1_suppl) ◽  
pp. 44S-53S ◽  
Author(s):  
Anne Barnhill ◽  
Anne Palmer ◽  
Christine M. Weston ◽  
Kelly D. Brownell ◽  
Kate Clancy ◽  
...  
Keyword(s):  
Public Health ◽  
Environmental Sustainability ◽  
Food Systems ◽  
Food System ◽  
The United States ◽  
Community Members ◽  
Targeted Interventions ◽  
Health Community ◽  
Policies And Programs ◽  
State Programs

Despite 2 decades of effort by the public health community to combat obesity, obesity rates in the United States continue to rise. This lack of progress raises fundamental questions about the adequacy of our current approaches. Although the causes of population-wide obesity are multifactorial, attention to food systems as potential drivers of obesity has been prominent. However, the relationships between broader food systems and obesity are not always well understood. Our efforts to address obesity can be advanced and improved by the use of systems approaches that consider outcomes of the interconnected global food system, including undernutrition, climate change, the environmental sustainability of agriculture, and other social and economic concerns. By implementing innovative local and state programs, taking new approaches to overcome political obstacles to effect policy, and reconceptualizing research needs, we can improve obesity prevention efforts that target the food systems, maximize positive outcomes, and minimize adverse consequences. We recommend strengthening innovative local policies and programs, particularly those that involve community members in identifying problems and potential solutions and that embrace a broad set of goals beyond making eating patterns healthier. We also recommend undertaking interdisciplinary research projects that go beyond testing targeted interventions in specific populations and aim to build an understanding of the broader social, political, and economic context.

scholarly journals The 2010 Structural-Demographic Forecast for the 2010–2020 Decade: A Retrospective Assessment

2020 ◽  
Author(s):  
Peter Turchin ◽  
Andrey Korotayev
Keyword(s):  
Western Europe ◽  
Time Series Data ◽  
Political Instability ◽  
The United States ◽  
Stress Index ◽  
Series Data ◽  
Strongly Correlated ◽  
Retrospective Assessment ◽  
The United Kingdom ◽  
The Usa

This article revisits the prediction, made in 2010, that the 2010–2020 decade would likely be a period of growing instability in the United States and Western Europe (Turchin 2010). This prediction was based on a computational model that quantified in the USA such structural-demographic forces for instability as popular immiseration, intraelite competition, and state weakness prior to 2010. Using these trends as inputs, the model calculated and projected forward in time the Political Stress Index, which in the past was strongly correlated with socio-political instability. Ortmans et al. (2017) conducted a similar structural-demographic study for the United Kingdom and obtained similar results. Here we use the Cross-National Time-Series Data Archive for the US, UK, and Western European countries to assess these structural-demographic predictions. We find that such measures of socio-political instability as anti-government demonstrations and riots increased dramatically during the 2010–2020 decade in all of these countries.

Gendered Funding: United Way Board Composition and the Funding of Women- and Girl-Serving Organizations

2021 ◽  
pp. 089976402110574
Author(s):  
Lauren Dula
Keyword(s):  
Time Series Data ◽  
Critical Mass ◽  
Interrupted Time Series ◽  
The United States ◽  
Women In Leadership ◽  
Representative Bureaucracy ◽  
Series Data ◽  
Leadership Positions ◽  
United Way ◽  
Bureaucracy Theory

Representative bureaucracy theory posits that the passive representation of women in leadership positions will lead to active representation of the concerns of women in general. This article attempts to identify whether this theory plays out on boards of nonprofit funding organizations, specifically United Ways across the United States. Using random effects modeling of interrupted time series data covering 15 years, the findings suggest a small yet significant nonlinear effect of women in leadership positions on boards upon the size of funding for women- and girl-serving organizations. This partially supports representative bureaucracy theory, but raises questions as to why there is a negative representational effect past a certain “critical mass” of women.

Abstract 19225: Impact of Change in Resuscitation Guidelines on National Out-of-hospital Cardiac Arrest Outcomes: Fulfilled Expectations?

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Shaker M Eid ◽  
Aiham Albaeni ◽  
Rebeca Rios ◽  
May Baydoun ◽  
Bolanle Akinyele ◽  
...  
Keyword(s):  
Time Series ◽  
Cardiac Arrest ◽  
Time Series Data ◽  
Statistical Significance ◽  
Interrupted Time Series ◽  
The United States ◽  
Series Data ◽  
National Database ◽  
Resuscitation Guidelines ◽  
Hospital Cardiac Arrest

Background: The intent of the 5-yearly Resuscitation Guidelines is to improve outcomes. Previous studies have yielded conflicting reports of a beneficial impact of the 2005 guidelines on out-of-hospital cardiac arrest (OHCA) survival. Using a national database, we examined survival before and after the introduction of both the 2005 and 2010 guidelines. Methods: We used the 2000 through 2012 National Inpatient Sample database to select patients ≥18 years admitted to hospitals in the United States with non-traumatic OHCA (ICD-9 CM codes 427.5 & 427.41). A quasi-experimental (interrupted time series) design was used to compare monthly survival trends. Outcomes for OHCA were compared pre- and post- 2005 and 2010 resuscitation guidelines release as follows: 01/2000-09/2005 vs. 10/2005-9/2010 and 10/2005-9/2010 vs. 10/2010-12/2012. Segmented regression analyses of interrupted time series data were performed to examine changes in survival to hospital discharge. Results: For the pre- and post- guidelines periods, 81600, 69139 and 36556 patients respectively survived to hospital admission following OHCA. Subsequent to the release of the 2005 guidelines, there was a statistically significant worsening in survival trends (β= -0.089, 95% CI -0.163 – -0.016, p =0.018) until the release of the 2010 guidelines when a sharp increase in survival was noted which persisted for the period of study (β= 0.054, 95% CI -0.143 – 0.251, p =0.588) but did not achieve statistical significance (Figure). Conclusion: National clinical guidelines developed to impact outcomes must include mechanisms to assess whether benefit actually occurs. The worsening in OHCA survival following the 2005 guidelines is thought provoking but the improvement following the release of the 2010 guidelines is reassuring and worthy of perpetuation.

scholarly journals Exchange Rate Dynamics and the Bilateral Trade Balance: The Case of U.S. Agriculture

2009 ◽  
Vol 38 (2) ◽  
pp. 213-228 ◽  
Author(s):  
Jungho Baek ◽  
Won W. Koo ◽  
Kranti Mulik
Keyword(s):  
United States ◽  
Exchange Rate ◽  
Bilateral Trade ◽  
Time Series Data ◽  
The United States ◽  
Agricultural Trade ◽  
Agricultural Products ◽  
Series Data ◽  
J Curve ◽  
Trading Partners

This study examines the dynamic effects of changes in exchange rates on bilateral trade of agricultural products between the United States and its 15 major trading partners. Special attention is paid to investigate whether or not the J-curve hypothesis holds for U.S. agricultural trade. For this purpose, an autoregressive distributed lag (ARDL) approach to cointegration is applied to quarterly time-series data from 1989 and 2007. Results show that the exchange rate plays a crucial role in determining the short- and long-run behavior of U.S. agricultural trade. However, we find little evidence of the J-curve phenomenon for U.S. agricultural products with the United States’ major trading partners.

scholarly journals Revisiting the Relationship between Economic Growth and Government Size

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Atrayee Ghosh Roy
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Government Expenditure ◽  
Private Investment ◽  
The United States ◽  
Simultaneous Equation ◽  
Series Data ◽  
Government Size ◽  
Government Investment ◽  
Government Consumption

The purpose of this paper is to explore the association between government size and economic growth in the United States using time-series data over the period 1950–2007. In particular, this paper examines the effects of two key components of government expenditure, namely, government consumption and government investment, on US economic growth. A simultaneous-equation model is used to deal with the problem of bi-directional relationship between government size and economic growth. The results suggest that an increase in government consumption slows economic growth, while a rise in government investment enhances economic growth. Furthermore, the results also show that government investment crowds out private investment. Therefore, the overall effect of total government expenditure on economic growth is ambiguous.

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