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3,140 full-text articles. Page 44 of 102.

Perspective On Substance-Abuse Recovery Ecosystem From The Appalachian Regional Commission Federal Co-Chair, Tim Thomas 2020 Appalachian Regional Commission

Perspective On Substance-Abuse Recovery Ecosystem From The Appalachian Regional Commission Federal Co-Chair, Tim Thomas

Journal of Appalachian Health

The Appalachian Regional Commission (ARC) is a local, state, and federal partnership focused on economic development in the communities of the Appalachian Region. ARC Federal Co-Chairman Tim Thomas provides his perspective on how an economic development entity, such as ARC, can support efforts to address the Region’s drug crisis in a way that both saves lives and strengthens economic opportunity in communities throughout Appalachia.


Fiscal Challenges And Anticipated Changes To Kentucky's Population Health System, Jeffrey Howard 2020 University of Louisville

Fiscal Challenges And Anticipated Changes To Kentucky's Population Health System, Jeffrey Howard

Journal of Appalachian Health

The hallmark of public health is population-level intervention. However, current public health funding in Kentucky is largely programmatic or disease-based. As a result, public health leaders are not able to appropriately utilize present resources to pursue population health endeavors. However, a recent transformation of the public health system has emphasized multisector partnerships and efficient funding mechanisms that may increase resources to pursue population-level health interventions based on community health assessments.


Paso Del Norte Economic Indicator Review, July, Hunt Institute for Global Competitiveness 2020 University of Texas at El Paso

Paso Del Norte Economic Indicator Review, July, Hunt Institute For Global Competitiveness

Technical Reports

No abstract provided.


Borderplex Business Barometer, Volume 4, Number 7, Thomas M. Fullerton Jr., Steven L. Fullerton, Ana Gutierrez Zubiate, Ignacio Santana 2020 University of Texas at El Paso

Borderplex Business Barometer, Volume 4, Number 7, Thomas M. Fullerton Jr., Steven L. Fullerton, Ana Gutierrez Zubiate, Ignacio Santana

Border Region Modeling Project

No abstract provided.


Mexico Consensus Economic Forecast, Volume 23, Number 3, Thomas M. Fullerton Jr., Steven L. Fullerton, Ana Gutierrez Zubiate 2020 University of Texas at El Paso

Mexico Consensus Economic Forecast, Volume 23, Number 3, Thomas M. Fullerton Jr., Steven L. Fullerton, Ana Gutierrez Zubiate

Border Region Modeling Project

No abstract provided.


Borderplex Historical Data To 2018, Thomas M. Fullerton, Steven L. Fullerton 2020 University of Texas at El Paso

Borderplex Historical Data To 2018, Thomas M. Fullerton, Steven L. Fullerton

Border Region Modeling Project

No abstract provided.


Impacts Of Covid-19 On Nepalese Economy, Satis Devkota 2020 University of Minnesota - Morris

Impacts Of Covid-19 On Nepalese Economy, Satis Devkota

Economics & Management Publications

Even though Nepal reported the first confirmed case of COVID-19 in late January 2020, Nepal was one of the least affected countries in South Asia until the end of April 2020. Lockdown and social distancing were implemented from the very beginning and people also contributed voluntarily with certain exceptions to that government’s efforts. That has a positive effect on flattening the curves of COVID-19 affected people and the related death rates in Nepal. However, the macroeconomic consequences of the pandemic are pretty high for a remittance based small economy. This hardship is further escalated when the excessive inflow of the …


The Impact Of Human Capital On Shadow Economy In Indonesia, Neli Agustina 2020 Politeknik Statistika STIS

The Impact Of Human Capital On Shadow Economy In Indonesia, Neli Agustina

Economics and Finance in Indonesia

Shadow economy is a market for legal and illegal goods and services that escape recording and estimation of GDP. It can cause inaccurate estimation of GDP, declining tax revenue, and less precise economic policies. Improving the quality of human capital, both in education and health dimensions, can reduce shadow economy. The research aims to estimate shadow economy and analyze the influence of the quality of human capital on shadow economy in Indonesia. Applying time series multiple linear regression analysis, the findings show that the average shadow economy in Indonesia is 28.97 percent, changes in life expectancy negatively affect changes in …


Enhancing Resilience To Turbulent Global Financial Markets: An Indonesian Experience, Febrio Kacaribu 2020 University of Indonesia - Indonesia

Enhancing Resilience To Turbulent Global Financial Markets: An Indonesian Experience, Febrio Kacaribu

Economics and Finance in Indonesia

In the empirical literature, large and abrupt declines in capital inflows, or sudden stops, typically hit asset markets and generate output losses in the receiving countries. The significant decrease in capital flows to emerging markets in 2018 is a unique opportunity to test this premise. Using Indonesian data, we found that the sharp decline in capital inflows for over two consecutive quarters in 2018 had an adverse impact on the currency, equities, and bond markets, but no discernible output loss was recorded. Real GDP growth remained resilient throughout 2018 and held broadly steady at around 5 percent in the first …


Book Review: Central Bank Policy: Theory And Practice, Denny Irawan 2020 Arndt-Corden Department of Economics, Crawford School of Public Policy, The Australian National University.

Book Review: Central Bank Policy: Theory And Practice, Denny Irawan

Economics and Finance in Indonesia

No abstract provided.


Corporate Income Tax Rate And Foreign Direct Investment: A Cross-Country Empirical Study, Amalia Indah Sujarwati 2020 Economics Graduate School, Universitas Indonesia and Ministry of Finance, Republic of Indonesia.

Corporate Income Tax Rate And Foreign Direct Investment: A Cross-Country Empirical Study, Amalia Indah Sujarwati

Economics and Finance in Indonesia

This study aims to explore the impact of Corporate Income Tax Rate (CITR) on Foreign Direct Investment (FDI), specified based on income levels of countries. Using an unbalanced fixed-effect method of 112 countries over the period of 2003-2017, our finding shows that CITR has no significant impact on FDI. Corporate Income Tax (CIT) is levied on all firms, and as CIT is generally more complex than other types of taxes, its influences on FDI are in question. Excluding tax havens from the sample, our findings show that CITR has a weak significance only in the lower-middle-income and low-income countries.


Gender Differences In Children's Non-Leisure Activities: A Decomposition Analysis, Dayang Haszelinna Abang Ali 2020 Universiti Sains Malaysia

Gender Differences In Children's Non-Leisure Activities: A Decomposition Analysis, Dayang Haszelinna Abang Ali

Economics and Finance in Indonesia

The prevalence of son preference indicates that girls will have less leisure time compared to boys. This study aims to examine gender differences in weekly hours in schooling, housework, and working among children in Indonesia using Tobit Model and decomposition model of Bauer & Sinning (2005), to test whether son preference explains the differences. The dataset was drawn from the fourth wave of Indonesia Family Life Survey (IFLS) in 2007. The results show significant gender differences in housework and working for children aged 5-14 years and insignificant gender gap in schooling for both age groups. These results confirm the existence …


The Impact Of Entrepreneurship On Economic Performance In Indonesia, Yohanes Kadarusman 2020 School of Business and Economics, Prasetiya Mulya University.

The Impact Of Entrepreneurship On Economic Performance In Indonesia, Yohanes Kadarusman

Economics and Finance in Indonesia

Entrepreneurship is claimed to have a positive and significant effect on economic growth in developed countries, but less so in developing countries. Using the growth model, this study examines the impact of entrepreneurship on economic performance in Indonesia as indicated by economic growth and income per-capita from 1985 to 2017. The estimation result confirms the non-significant effect of the growth of entrepreneurial ventures on the growth of GDP per-capita. However, the accumulation of the ventures has a positive and significant effect on the level of GDP per capita. The different typology of entrepreneurial ventures in Indonesia provides some insight to …


Nebraska Monthly Economic Indicators: June 24, 2020, Eric Thompson 2020 University of Nebraska at Lincoln

Nebraska Monthly Economic Indicators: June 24, 2020, Eric Thompson

Leading Economic Indicator Reports

The LEI-N rose by 2.45% during May of 2020. The May increase followed sharp declines in March and April. The May results indicate that the Nebraska economy will grow over the next 6 months, allowing the state to begin to recover from economic losses in March and April. Four of the five components of the leading indicator improved during May. There was a significant decline in initial claims for unemployment insurance. The slow rebound in airline passenger enplanements also began. In addition, building permits for single-family homes rebounded in May after an April drop. The value of the U.S. dollar …


Shift-Share Analysis: South Carolina, 2005 - 2018, Randall Jackson, Péter Járosi 2020 West Virginia University

Shift-Share Analysis: South Carolina, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …


Shift-Share Analysis: Virginia, 2005 - 2018, Randall Jackson, Péter Járosi 2020 West Virginia University

Shift-Share Analysis: Virginia, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of n Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …


Shift-Share Analysis: Ohio, 2005 - 2018, Randall Jackson, Péter Járosi 2020 West Virginia University

Shift-Share Analysis: Ohio, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …


Shift-Share Analysis: Tennessee, 2005 - 2018, Randall Jackson, Péter Járosi 2020 West Virginia University

Shift-Share Analysis: Tennessee, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts o f An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further …


Shift-Share Analysis: West Virginia, 2005 - 2018, Randall Jackson, Péter Járosi 2020 West Virginia University

Shift-Share Analysis: West Virginia, 2005 - 2018, Randall Jackson, Péter Járosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …


Shift-Share Analysis: Alabama, 2005 - 2018, Randall Jackson, Peter Jarosi 2020 West Virginia University

Shift-Share Analysis: Alabama, 2005 - 2018, Randall Jackson, Peter Jarosi

Shift Share Analyses

In County-level CIE Supply Chain Analysis, the second of five parts of An Economic Analysis of the Appalachian Coal Industry Ecosystem posted to the Commission’s website in January of 2018, we developed a set of metrics that were used to provide insights on the past and future supply chain implications of long-term coal industry decline in Appalachia.[1] These metrics were used to identify counties that have been heavily impacted by the decline of the coal industry, those that remain dependent on the coal industry ecosystem (CIE), and among the dependent counties, those that are at greatest risk of further impact. …


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