695 research outputs found

    Exercise Can Give Us Brain-Boosting Superpowers?

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    An assessment of advertising practice and challenges in case of NIB Insurance Company (S.CO.)

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    Assessment of Factors Affecting the Performance of Small and Micro-Enterprises in the Case of Goba Town, South East Ethiopia

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    This study was conducted in Bale Goba, Oromia region with the objective of assessing factors affecting the performance of small and micro enterprises. Specifically it was aimed to identify internal and external factors that affect the performance of small and micro enterprise as well as to analyze the performance of the small and micro-enterprises at the study area. Data was collected from both primary secondary sources. There were five sectors at the study area sample were proportionally determined and then random sampling techniques was used to take sample from each sectors. To analyze the collected data descriptive and narrative method of analysis were employed and then the result was presented in tabular and graphical forms. The study revealed that the small and micro enterprise owners were motivated to start up the business due to lack of alternative source of income and the respondents evaluated theย  performance of their business as ;moderateโ€™. The majority of the respondents reported that the major internal factors affecting the performance of their business were lack of enough capital and poor quality of product. The research also revealed that the major determining external factors affecting the performance of small and micro-enterprises were problem of market linkage at the study area and increase in the price of input. Government should give due consideration in market linkage, price of raw material and search alternative way to reduce capital problem. Keywords: Assessment, Factors, Goba, small-Enterprises, Micro-Enterprises, Performanc

    Modeling Electrolyte Solutions in a Statistical Associating Fluid Theory (SAFT) Framework

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    SAFT-VR Mie is one of the most recent extensions of Statistical Associating Fluid Theory (SAFT). It is based on the Mie potential, which is a generalized form of the Lennard-Jones potential in which the exponents of the repulsive and attractive terms are allowed to vary from 12 and 6, respectively. In this thesis, the latest formulation of SAFT-VR Mie is implemented to accurately calculate densities and phase equilibria of both associating and non-associating fluid mixtures. The model is subsequently extended to mixtures with strongly dissociating electrolytes in water through the addition of a Born term to account for solvation effects and a Debye-Huฬˆckel term for long-range, electrostatic interactions. A single adjustable parameter is assigned to each ionic species (the cross dispersion energy between the ion and solvent) and is optimized against experimental data for electrolyte solution densities and mean ionic activity coefficients using a sequential Nelder-Mead algorithm with a parallel objective function evaluation. Model correlations for the activity coefficients and liquid densities, as well as predictive calculations of vapor pressure, osmotic coefficients and mixed ion properties, show that the modelโ€™s performance is comparable to that of other recent formulations for electrolyte solutions. Further improvement in a subsequent generation of the proposed equation of state will likely derive from a better description of dielectric phenomena, and adjustments to the parameter optimization strategy

    DETERMINANTS OF FOREIGN DIRECT INVESTMENT INTO SUB-SAHARAN AFRICA: A Panel Data Analysis (1990-2016)

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ตญ์ œ๋Œ€ํ•™์› ๊ตญ์ œํ•™๊ณผ(๊ตญ์ œ์ง€์—ญํ•™์ „๊ณต),2019. 8. Jeong, Hyeok.์ด ์—ฐ๊ตฌ๋Š” SSA ํšŒ์›๊ตญ์˜ ์™ธ๊ตญ์ธ ์ง์ ‘ ํˆฌ์ž์˜ ์ฃผ์š” ๊ฒฐ์ • ์š”์ธ์„ ๊ทœ๋ช…ํ•˜๋Š” ๊ฒƒ์„ ๋‹ค๋ฃฌ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ตญ๊ฐ€๋“ค์ด ๊ฐ๊ตญ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ง€์—ญ ์ฐจ์›์—์„œ ๋” ๋ฏผ๊ฐํ•œ ์š”์†Œ๋ฅผ ์‹๋ณ„ํ•ด์•ผํ•˜๋Š” FDI๋ฅผ ๋” ๋งŽ์ด ๋Œ์–ด ๋“ค์ด๊ธฐ๋ฅผ ๊ณ ๋ คํ•ฉ๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ FDI์˜ ์ฃผ์š” ๊ฒฐ์ • ์š”์ธ์„ ํ™•์ธํ•˜๋Š” ๊ฒƒ์€ ์ •์ฑ… ์ž…์•ˆ์ž์—๊ฒŒ ์ค‘์š”ํ•œ ๊ณผ์ œ์ด๋‹ค. ๋‹ค๋ฅธ ๊ฐœ๋ฐœ ๋„์ƒ๊ตญ๊ณผ ๋น„๊ตํ•  ๋•Œ, ์‚ฌํ•˜๋ผ ์‚ฌ๋ง‰ ์ด๋‚จ ์•„ํ”„๋ฆฌ์นด์— ๋Œ€ํ•œ FDI ์œ ์ž…์€ ๋งค์šฐ ๋‚ฎ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์™ธ๊ตญ์ธ ์ง์ ‘ ํˆฌ์ž (Foreign Direct Investment, FDI)์˜ ์œ ์น˜์—์žˆ์–ด ๊ณต์‹ ๊ฐœ๋ฐœ ์›์กฐ์™€ ๋‚ด๋ฅ™ ์˜ํ–ฅ์˜ ์—ญํ• ์„ ํƒ๊ตฌํ•œ๋‹ค. ์–ด๋–ค ๋ฐฉ๋ฒ•์ด ์šฐ๋ฆฌ์˜ ๋ฐ์ดํ„ฐ์™€ ์ผ์น˜ํ•˜๋Š”์ง€ ์‹œํ—˜ ํ•œ ํ›„ ์—ฐ๊ตฌ๋Š” 1990 ๋…„์—์„œ 2016 ๋…„๊นŒ์ง€ SSA 44 ๊ฐœ๊ตญ์˜ ์ถ”์ •์น˜์— ๊ณ ์ • ํšจ๊ณผ ๋ชจ๋ธ์„ ์ ์šฉํ•˜๊ณ  ํ† ์ง€๋ฅผ ๋”๋ฏธ ํšจ๊ณผ๋กœ ๋ณด๋Š” ๊ฐ„๋‹จํ•œ OLS ์ถ”์ •๋ฒ•์„ ์ ์šฉํ–ˆ๋‹ค. ํ‰๊ฐ€ ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด ์‹œ์žฅ ๊ทœ๋ชจ, ๊ธฐ๋ฐ˜ ์‹œ์„ค, ๊ฐœ๋ฐฉ์„ฑ, ์‚ฌ์  ๋ฐ ์ •์น˜์  ์•ˆ์ •์„ฑ ๋ฐ ์ธํ”Œ๋ ˆ์ด์…˜์— ๋Œ€ํ•œ ๊ตญ๋‚ด ์‹ ์šฉ์€์ด ์ง€์—ญ์˜ ์™ธ๊ตญ์ธ ์ง์ ‘ ํˆฌ์ž ์œ ์น˜์˜ ์ฃผ์š” ๊ฒฐ์ • ์š”์ธ์ด๋‹ค. ๊ทธ ๊ฒฐ๊ณผ๋Š” ๋˜ํ•œ ODA์™€ ์ธํ”„๋ผ์™€์˜ ์ƒํ˜ธ ์ž‘์šฉ๊ณผ ์ •์น˜์  ์•ˆ์ •์„ฑ์„ ๋ณด์—ฌ์ฃผ๋Š” ODA๊ฐ€ SSA ๊ตญ๊ฐ€๋“ค๋กœ์˜ FDI ์œ ์ž…์— ์ƒ๋‹นํ•œ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค€๋‹ค. ๊ฒŒ๋‹ค๊ฐ€ ๊ตญ๊ฐ€๋“ค์€ ์ธํ”„๋ผ ๊ฐœ๋ฐœ ๋ฐ ์ •์น˜์  ์•ˆ์ •์„ ๊ฐœ์„ ํ•ด์•ผํ•œ๋‹ค. ์ด๋Š” ODA๊ฐ€ FDI๋ฅผ ๋” ๋งŽ์ด ๋Œ ์ด ์—ฐ๊ตฌ๋Š” SSA ํšŒ์›๊ตญ์˜ ์™ธ๊ตญ์ธ ์ง์ ‘ ํˆฌ์ž์˜ ์ฃผ์š” ๊ฒฐ์ • ์š”์ธ์„ ๊ทœ๋ช…ํ•˜๋Š” ๊ฒƒ์„ ๋‹ค๋ฃฌ๋‹ค. ์ด ์—ฐ๊ตฌ๋Š” ๊ตญ๊ฐ€๋“ค์ด ๊ฐ๊ตญ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ง€์—ญ ์ฐจ์›์—์„œ ๋” ๋ฏผ๊ฐํ•œ ์š”์†Œ๋ฅผ ์‹๋ณ„ํ•ด์•ผํ•˜๋Š” FDI๋ฅผ ๋” ๋งŽ์ด ๋Œ์–ด ๋“ค์ด๊ธฐ๋ฅผ ๊ณ ๋ คํ•ฉ๋‹ˆ๋‹ค. ๋”ฐ๋ผ์„œ FDI์˜ ์ฃผ์š” ๊ฒฐ์ • ์š”์ธ์„ ํ™•์ธํ•˜๋Š” ๊ฒƒ์€ ์ •์ฑ… ์ž…์•ˆ์ž์—๊ฒŒ ์ค‘์š”ํ•œ ๊ณผ์ œ์ด๋‹ค. ๋‹ค๋ฅธ ๊ฐœ๋ฐœ ๋„์ƒ๊ตญ๊ณผ ๋น„๊ตํ•  ๋•Œ, ์‚ฌํ•˜๋ผ ์‚ฌ๋ง‰ ์ด๋‚จ ์•„ํ”„๋ฆฌ์นด์— ๋Œ€ํ•œ FDI ์œ ์ž…์€ ๋งค์šฐ ๋‚ฎ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์™ธ๊ตญ์ธ ์ง์ ‘ ํˆฌ์ž (Foreign Direct Investment, FDI)์˜ ์œ ์น˜์—์žˆ์–ด ๊ณต์‹ ๊ฐœ๋ฐœ ์›์กฐ์™€ ๋‚ด๋ฅ™ ์˜ํ–ฅ์˜ ์—ญํ• ์„ ํƒ๊ตฌํ•œ๋‹ค. ์–ด๋–ค ๋ฐฉ๋ฒ•์ด ์šฐ๋ฆฌ์˜ ๋ฐ์ดํ„ฐ์™€ ์ผ์น˜ํ•˜๋Š”์ง€ ์‹œํ—˜ ํ•œ ํ›„ ์—ฐ๊ตฌ๋Š” 1990 ๋…„์—์„œ 2016 ๋…„๊นŒ์ง€ SSA 44 ๊ฐœ๊ตญ์˜ ์ถ”์ •์น˜์— ๊ณ ์ • ํšจ๊ณผ ๋ชจ๋ธ์„ ์ ์šฉํ•˜๊ณ  ํ† ์ง€๋ฅผ ๋”๋ฏธ ํšจ๊ณผ๋กœ ๋ณด๋Š” ๊ฐ„๋‹จํ•œ OLS ์ถ”์ •๋ฒ•์„ ์ ์šฉํ–ˆ๋‹ค. ํ‰๊ฐ€ ๊ฒฐ๊ณผ์— ๋”ฐ๋ฅด๋ฉด ์‹œ์žฅ ๊ทœ๋ชจ, ๊ธฐ๋ฐ˜ ์‹œ์„ค, ๊ฐœ๋ฐฉ์„ฑ, ์‚ฌ์  ๋ฐ ์ •์น˜์  ์•ˆ์ •์„ฑ ๋ฐ ์ธํ”Œ๋ ˆ์ด์…˜์— ๋Œ€ํ•œ ๊ตญ๋‚ด ์‹ ์šฉ์€์ด ์ง€์—ญ์˜ ์™ธ๊ตญ์ธ ์ง์ ‘ ํˆฌ์ž ์œ ์น˜์˜ ์ฃผ์š” ๊ฒฐ์ • ์š”์ธ์ด๋‹ค. ๊ทธ ๊ฒฐ๊ณผ๋Š” ๋˜ํ•œ ODA์™€ ์ธํ”„๋ผ์™€์˜ ์ƒํ˜ธ ์ž‘์šฉ๊ณผ ์ •์น˜์  ์•ˆ์ •์„ฑ์„ ๋ณด์—ฌ์ฃผ๋Š” ODA๊ฐ€ SSA ๊ตญ๊ฐ€๋“ค๋กœ์˜ FDI ์œ ์ž…์— ์ƒ๋‹นํ•œ ์˜ํ–ฅ์„ ๋ฏธ์นœ๋‹ค๋Š” ๊ฒƒ์„ ๋ณด์—ฌ์ค€๋‹ค. ๊ฒŒ๋‹ค๊ฐ€ ๊ตญ๊ฐ€๋“ค์€ ์ธํ”„๋ผ ๊ฐœ๋ฐœ ๋ฐ ์ •์น˜์  ์•ˆ์ •์„ ๊ฐœ์„ ํ•ด์•ผํ•œ๋‹ค.This study deals with to find out the main determinants of FDI in SSA countries. The studies consider countries to attract more FDI they should identify which factors are more sensitive for each countries as well as regional level. Therefore identifying the key determinants of FDI is a crucial task for policy makers. Compared to other developing countries, FDI inflow in to sub-Sahara Africa is very low, beside this study explores the role of Official Development Assistance and the landlocked effect in the attraction of Foreign Direct Investment (FDI). The study after testing which method is consistent with our data, fixed effect model is applied for the estimation of 44 SSA countries from the period 1990 to 2016 and simple OLS estimation method also applied to cheek the land looked dummy effect. The estimation results shows that Market size, Infrastructure, openness, Domestic credit to private and political stability and inflation are the key determinant in the attraction of FDI in this region. The results also show the interaction of ODA with infrastructure and ODA with political stability also has a significant effect of FDI inflow in to SSA countries. Besides, countries should also improve infrastructural development and political stabilities, as this strengthens the effectiveness of ODA in to attracting more FDI.CHAPTER ONE: INTRODUCTION 1 1.1 Background of the study 1 1.2 Statement of the Problem 3 1.3 Objective of the study 4 1.4 Research question 5 1.5 Significance of the Study 5 1.6 Scope and Organization of the study 5 CHAPTER TWO: OVERVIEW OF SUB-SAHARAN AFRICA 7 2.1 Introduction 7 2.2 Foreign direct investment to SSA countries 8 2.3 What determines the attraction of FDI in sub-Saharan Africa? 13 2.4 The nexus between FDI and foreign aid 14 CHAPTER THREE: REVIEW OF THE LITERATURE 16 3.1 Introductions 16 3.2 Theoretical Literature Review 17 3.2.1 Eclectic Theory of Foreign Direct Investment 18 3.2.2 Resource Seeking 20 3.2.3 Market Seeking FDI 21 3.2.3 Efficiency Seeking FDI 22 3.3 Empirical Literature Review 23 CHAPTER FOUR: DATA AND METHODOLOGY 27 4.1 Theoretical Framework 27 4.1.1 Model specification 27 4.1.2 Variables Descriptions 28 4.1.3 Data 32 4.2 Empirical Methodology 33 4.2.1 Advantage of Panel data regression 35 CHAPTER FIVE: FINDINGS AND DISCUSSION 36 5.1 Introduction 36 5.3 Result 38 5.3.1 Interaction effects 45 5.3.2 Robustness checks 48 CHAPTER SIX: CONCLUSION AND POLICY IMPLICATION 49 REFERENCE 53Maste

    The impact of Ethiopian land certification on land conservation, maintenance and tree planting

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    This study analyses the impact of land registration and certification on rural farm householdsโ€™ investment on conservation, maintenance and tree planting in Ethiopia. I used cross-sectional data collected from Tigray region in 2015. The Instrumental variable approach used to control for endogeneity in certificate ownership shows there is no systematic distribution in certificate ownership or no endogeneity. The estimation results suggest a mixed result with different outcome variables used as proxy for land related investment. There is positive and significant correlation between possession of land certificates and investment in conservation and maintenance or improvement of conservation structures. However, I didnโ€™t find a significant correlation between certificate and tree planting. Variables such as distance of farm plots and public investment on plots tend to have a strong and positive effect on farmers decision on land related investments.M-ECO

    Fatigue Life Assessment of Rib to Deck Welded Joint of the Hardanger Bridge โ€“ a Realistic Traffic Loading of FEM

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    The orthotropic steel decks in the Hardanger Bridge, as is common for long span suspension bridges, have welded joints that are susceptible to fatigue cracks. The rib-to-deck welded joints under the wheel load are the most common crack initiation sites. Crack in the weldment accelerates the degradation of other components of the bridge deck and ultimately shortens the fatigue life of the road bridge. The fatigue life of the rib-to-deck welded joint is determined by using Minerโ€™s damage accumulation rule of the rainflow cycle counted stress ranges of the nominal and Hot Spot stresses. A full-scale 20 m long finite element model of the box girders in the Hardanger Bridge was built following the design drawings provided by the Norwegian Public Road Administration (NPRA). The model was loaded with fatigue load models (FLM) in Abaqus. A realistic dynamic design of the FLM traffic loading on the bridge was achieved by user subroutine. The thesis compared the fatigue life of two fatigue load models, the national (FLM-N) and Eurocodeโ€™s FLM4. The effect of velocity on fatigue life of the welded joint was assessed by simulating vehicle with three different velocities while ensuring equal sampling rate. A validated whole span global model of Hardanger Bridge was provided for this thesis. The global model was loaded by vehicle equivalent concentrated load and corresponding moment of FLM-N and FLM-4. Stress response calculated from moment and axial force was used to estimate fatigue life. The fatigue load models cause high cycle fatigue damage on the welded joints of the orthotropic steel decks of the Hardanger Bridge. The Hot Spot stress fatigue life of the welded rib-to-deck joint was 135 years (FLM-N) and 24 years (FLM4). The corresponding nominal stress fatigue life was 1180 years (FLM-N). Stresses from loading the global model with a single vehicle at a time did not induce fatigue damage. The effect of velocities of the vehicles loaded resulted in insignificant changes of the fatigue life of the welded joint
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