Development of Strength-Based Youth Mentoring: Historical And Theoretical Perspectives, Empirical Results, and Policy Implications

2011 ◽  
Author(s):  
R. Bruce Thompson ◽  
Maryann Corsello ◽  
Samuel McReynolds ◽  
Bernice Conklin-Powers ◽  
Brittany Morley
Keyword(s):  
Policy Implications ◽  
Youth Mentoring ◽  
Empirical Results ◽  
Theoretical Perspectives ◽  
Strength Based

scholarly journals Revisit coal consumption, CO2 emissions and economic growth nexus in China and India using a newly developed bootstrap ARDL bound test

2017 ◽  
Vol 36 (3) ◽  
pp. 450-463 ◽  
Author(s):  
Feng-Li Lin ◽  
Roula Inglesi-Lotz ◽  
Tsangyao Chang
Keyword(s):  
Economic Growth ◽  
Granger Causality ◽  
Policy Implications ◽  
Coal Consumption ◽  
Causality Test ◽  
Ardl Model ◽  
Empirical Results ◽  
China And India ◽  
The Government ◽  
Bound Test

This study revisits coal consumption, CO2 emissions and economic growth nexus for both China and India using a newly developed Bootstrap ARDL model over the period of 1969–2015. Empirical results indicate no long-run relationship among these three variables for both China and India, and Granger causality test based on Bootstrap ARDL model indicates a feedback between coal consumption and economic growth, between economic growth and CO2 emissions and between coal consumption and CO2 emissions in China. However, we find a one-way Granger causality running from coal consumption to economic growth and the feedback hypothesis is confirmed between economic growth and CO2 emissions and between coal consumption and CO2 emissions in India. The coefficients signal that coal consumption is an important factor towards the promotion economic growth in both China and India. For China, higher economic growth reduces CO2 emissions, while for India, it further increases CO2 emissions. Our empirical results have important policy implications for the government conducting effective energy polices to promote economic growth in both China and India.

Secured Lending and Default Risk: Equilibrium Analysis, Policy Implications and Empirical Results

1991 ◽  
Vol 101 (406) ◽  
pp. 458 ◽  
Author(s):  
Arnoud W. A. Boot ◽  
Anjan V. Thakor ◽  
Gregory F. Udell
Keyword(s):  
Default Risk ◽  
Policy Implications ◽  
Equilibrium Analysis ◽  
Empirical Results

Profiles and Evolution of E-Government Readiness in Africa

2020 ◽  
Vol 11 (1) ◽  
pp. 43-65
Author(s):  
Niguissie Mengesha ◽  
Anteneh Ayanso ◽  
Dawit Demissie
Keyword(s):  
Public Administration ◽  
Composite Index ◽  
Policy Implications ◽  
Machine Learning Technique ◽  
Measurement Framework ◽  
Theoretical Perspectives ◽  
Telecommunication Infrastructure ◽  
Learning Technique ◽  
Cluster Profiles ◽  
Over Time

E-government has been one of the top government strategies in recent years. Several studies and projects have attempted to understand the scope of e-government and the measurement framework that can be deployed to track the readiness as well as progress of nations overtime. Among these initiatives is the United Nations Public Administration Network (UN PAN) that assesses the e-government readiness of nations according to a quantitative composite index based on telecommunication infrastructure, human capital, and online services. Using the UN PAN index data from 2008 to 2016, the article profiles African nations using unsupervised machine learning technique. It also examines the resulting cluster profiles in terms of theoretical perspectives in the literature and derive policy insights from the different groupings of nations and their evolution over time. Finally, the article discusses the policy implications of the proposed methodology and the insights obtained.

scholarly journals Financial Depth and Efficiency, and Economic Growth Nexus in Saudi Arabia and Oman

2018 ◽  
Vol 11 (2) ◽  
pp. 105-112
Author(s):  
Abdullah Saeed ◽  
Shayem Saleh
Keyword(s):  
Economic Growth ◽  
Saudi Arabia ◽  
Panel Data ◽  
Causal Relation ◽  
Policy Implications ◽  
Financial Deepening ◽  
Empirical Results ◽  
Financial Depth ◽  
Detrimental Impact

AbstractThis paper aims to examine the financial depth and efficiency and economic growth nexus in the context of Saudi Arabia and Oman. In particular, this paper addresses on how financial depth and efficiency relate to economic growth and the causal relation between financial depth and efficiency and the economic growth in Saudi Arabia and Oman. Methodological wise, this study employs a panel data of Saudi Arabia and Oman over the period of 1990 - 2015 and uses the determination of line of best to analyze the causal relations. The empirical results show that financial deepening have desirable effects on the economic growth in Oman, while increasing financial depth and efficiency has detrimental impact to economic growth of Saudi Arabia. Based on these empirical facts, we conclude that the financial deepening in Saudi Arabia is not an economic prioritized strategy, but financial deepening is an economic prioritized strategy in Oman. Two main policy implications are reached.

scholarly journals Corporate R&D intensity decomposition: different data, different results?

2020 ◽  
Author(s):  
Pietro Moncada-Paternò-Castello ◽  
Sara Amoroso ◽  
Michele Cincera
Keyword(s):  
Research And Development ◽  
Analytical Methods ◽  
Innovation Policy ◽  
International Comparisons ◽  
Policy Implications ◽  
Data Sources ◽  
Empirical Results ◽  
Research And Innovation ◽  
Research And Innovation Policy ◽  
First Time

Abstract Research and Development (R&D) indicators are used to facilitate international comparisons and as targets for research and innovation policy. An example of such an indicator is R&D intensity. The decomposition of the aggregate corporate R&D intensity is able to explain the differences in R&D intensity between countries by determining whether is the result of firms’ underinvestment in R&D or of the differences across sectors. Despite its importance, the literature of corporate R&D intensity decomposition has been developed only recently. This article reviews for the first time the different methodological frameworks of corporate R&D intensity decomposition and how they are used in practice, shedding light on why sometimes empirical results seem to be contradictory. It inspects how the use of different data sources and analytical methods affect R&D intensity decomposition results, and what the analytical and policy implications are. The article also provides methodological and analytical guidance to analysts and policymakers.

Rural Tourism Demand in Galicia, Spain

2006 ◽  
Vol 12 (1) ◽  
pp. 21-31 ◽  
Author(s):  
Fidel Martínez Roget ◽  
Xosé A. Rodríguez González
Keyword(s):  
Panel Data ◽  
Policy Implications ◽  
Rural Tourism ◽  
Tourism Demand ◽  
Economic Cycle ◽  
Economic Determinants ◽  
Travel Costs ◽  
Empirical Results ◽  
Overnight Stays

This paper is a study of rural tourism demand in Galicia by means of panel data. The dependent variable used is the number of overnight stays. Empirical results suggest that the number of overnight stays in rural tourism establishments depends basically on economic determinants, such as the price of services in rural tourism establishments, the extent of transport (travel) costs and the economic cycle (tourists' income). The income variable exhibits the highest elasticity. Besides the influence of economic determinants, rural tourism demand depends mainly on the reputation (prestige) and peculiarities of each establishment. In light of these results, conclusions are drawn and policy implications are discussed.

scholarly journals Determinants of credit constraints for agricultural wholesalers in China

2020 ◽  
Vol 23 (4) ◽  
pp. 563-577
Author(s):  
Lifang Hu ◽  
Rigoberto A. Lopez ◽  
Yinchu Zeng
Keyword(s):  
Economic Growth ◽  
Credit Constraints ◽  
Sample Selection ◽  
Probit Model ◽  
Nationwide Survey ◽  
Food Distribution ◽  
Policy Implications ◽  
Empirical Results ◽  
Capital Assets ◽  
Using Data

Following market reforms and economic growth since the late 1970s, agricultural wholesale markets in China have developed substantially and become increasingly important in food distribution. This paper investigates the determinants of credit constraints on agricultural wholesalers. A probit model with sample selection is estimated for credit constraints and demand using data collected via a nationwide survey of 1,422 agricultural wholesalers, of whom approximately 39% were designated as credit-constrained. Empirical results confirm that an absence of relatives in the business supports the notion of further discouraging potential borrowers from applying for credit in the first place. Moreover, the probability of being credit-constrained is significantly lower for legal corporations, wholesalers who have higher-value capital assets, larger-sized wholesalers, and those in a better micro-finance environment. Some policy implications are outlined.

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