• 제목/요약/키워드: Panel Data Regression Model

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The Moderating Effect of Internal Control on Performance of Cross-Border M&A under the Uncertainty of Economic Policy: Evidence from China

  • Huang, Xiao-Lin;Chen, Guan-Ting;Lee, Eun-Hye
    • Journal of Korea Trade
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    • 제23권7호
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    • pp.128-146
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    • 2019
  • Purpose - The purpose of this paper is to investigate the relationship between internal control, economic policy uncertainty, and performance of cross-border merger and acquisition (M&A) based on the panel data of Chinese listed firms. The authors expected that internal control has a positive moderating effect on the performance of cross-border M&A and that it mainly occurs during periods when economic policies are relatively stable. In addition, the authors tried to find out the mechanism of internal control affecting cross-border M&A and the corporate performance. Design/methodology - The authors tested the hypotheses by a multivariate regression model based on the panel data of Chinese listed firms from 2009 to 2017. The dependent variable is the change value of business performance (DROA_1,2,3) and the explanatory variables are cross-border M&A (MA), China's uncertainty of economic policy (EPU), and internal control level (IC) respectively. Findings - The authors find that internal control has a positive moderating effect on the relationship between cross-border M&A and corporate performance. Further, the authors find that the moderating effect is more significant in state-owned enterprises and that it mainly occurs during periods when economic policies are relatively stable. Originality/value - This paper is the leading study that tries to analyze empirically the relationship between internal control, economic policy uncertainty, and performance of cross-border M&A. It provides a new avenue through which internal control might reasonably mitigate the risks of cross-border M&A and correspondingly improve the performance of cross-border M&A. It also confirms the moderating effect of internal control on the performance of cross-border M&A under the uncertainty of economic policy.

Future water quality analysis of the Anseongcheon River basin, Korea under climate change

  • Kim, Deokwhan;Kim, Jungwook;Joo, Hongjun;Han, Daegun;Kim, Hung Soo
    • Membrane and Water Treatment
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    • 제10권1호
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    • pp.1-11
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    • 2019
  • The Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) predicted that recent extreme hydrological events would affect water quality and aggravate various forms of water pollution. To analyze changes in water quality due to future climate change, input data (precipitation, average temperature, relative humidity, average wind speed and sunlight) were established using the Representative Concentration Pathways (RCP) 8.5 climate change scenario suggested by the AR5 and calculated the future runoff for each target period (Reference:1989-2015; I: 2016-2040; II: 2041-2070; and III: 2071-2099) using the semi-distributed land use-based runoff processes (SLURP) model. Meteorological factors that affect water quality (precipitation, temperature and runoff) were inputted into the multiple linear regression analysis (MLRA) and artificial neural network (ANN) models to analyze water quality data, dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), suspended solids (SS), total nitrogen (T-N) and total phosphorus (T-P). Future water quality prediction of the Anseongcheon River basin shows that DO at Gongdo station in the river will drop by 35% in autumn by the end of the $21^{st}$ century and that BOD, COD and SS will increase by 36%, 20% and 42%, respectively. Analysis revealed that the oxygen demand at Dongyeongyo station will decrease by 17% in summer and BOD, COD and SS will increase by 30%, 12% and 17%, respectively. This study suggests that there is a need to continuously monitor the water quality of the Anseongcheon River basin for long-term management. A more reliable prediction of future water quality will be achieved if various social scenarios and climate data are taken into consideration.

콘크리트 포장상태 평가지수의 개발에 관한 연구 (A Study on Development of the Concrete Pavement Condition Index)

  • 권수안;김남호;서영찬
    • 한국도로학회논문집
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    • 제2권3호
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    • pp.145-153
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    • 2000
  • 포장의 합리적 유지관리를 위해서는 기본적으로 포장의 상태를 객관적으로 평가하고, 평가한 자료를 이용하여 경제성 분석을 실시함으로써 최적의 보수공법 및 보수우선순위를 결정해야 한다. 전체적인 포장 상태를 객관적으로 평가하기 위해서는 포장상태 평가지수와 같은 단일화된 평가 기준이 필요하다. 본 연구에서는 우리나라 고속도로 콘크리트 포장에 적합한 포장상태 평가지수를 개발하기 위하여 현장 상세조사 및 포장평가위원회의 평가를 실시하고, 그 결과의 회귀분석을 통해 포장평가지수를 개발하였다. 또한 개발된 포장평가지수를 이용하여 포장유지관리에서 이용되기 위한 보수공법그룹을 제시하였다. 개발된 포장평가지수의 상관계수는 0.68이었으며, 콘크리트 포장평가지수에 사용된 독립변수들은 종단평탄성, 균열, 패칭 등이었다.

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Tax Avoidance and Corporate Risk: Evidence from a Market Facing Economic Sanction Country

  • SALEHI, Mahdi;KHAZAEI, Sharbanoo;TARIGHI, Hossein
    • The Journal of Asian Finance, Economics and Business
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    • 제6권4호
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    • pp.45-52
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    • 2019
  • The current study aims to investigate the relationship between tax avoidance and firm risk in an emerging market called Iran. The study population consists of 400 observations and 80 companies listed on the Tehran Stock Exchange (TSE) over a five-year period during 2012 and 2016. The statistical model used in this study is a multivariate regression model; besides, the statistical technique used to test the hypotheses proposed in this research is panel data. The results showed that low effective tax rate (tax avoidance) is more consistent than the higher effective tax rate. Moreover, there is no significant relationship between tax avoidance and future tax rate volatility. The findings also proved that lower effective tax rates are positively associated with future stock price volatility. This implies that since Iranian firms have many financial problems because of economic sanctions, they have a tendency to delay the disclosure of bad news about their firms. Needless to say, when a huge number of negative news reaches its peak, they immediately will enter the market and lead to a remarkable fluctuation in stock prices.

Factors Affecting Financial Risk: Evidence from Listed Enterprises in Vietnam

  • DANG, Hang Thu;PHAN, Duong Thuy;NGUYEN, Ha Thi;HOANG, Le Hong Thi
    • The Journal of Asian Finance, Economics and Business
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    • 제7권9호
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    • pp.11-18
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    • 2020
  • This paper analyzes factors affecting enterprise's financial risk listed on the Vietnam stock market. The panel data of research sample includes 524 non-financial listed enterprises on the Vietnam stock market for a period of eleven years, from 2009 to 2019. The Generalized Least Square (GLS) is employed to address econometric issues and to improve the accuracy of the regression coefficients. In this research, financial risk is measured by the Alexander Bathory model. Debt structure, Solvency, Profitability, Operational ability, Capital structure are independent variables in the study. Firm Size, firm age, growth rate are control variables. The model results show that in order to prevent and limit financial risk for enterprises listed on the Vietnam Stock Market, attention should be paid to variables reflecting Liability structure ratio, Quick Ratio, Return on Assets, Total asset turnover, Accounts receivable turnover, Net assets ratio and Fixed assets ratio. The empirical results show that there are differences in the impact of these factors on the financial risk in state-owned enterprises and non-state enterprises listed on the Vietnam stock market. The findings of this article are useful for business administrators, helping business managers make the right financial decisions to improve the efficiency of financial risk management in enterprises.

Factors contributing to participation in food assistance programs in the elderly population

  • Hong, Seo Ah;Kim, Kirang
    • Nutrition Research and Practice
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    • 제8권4호
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    • pp.425-431
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    • 2014
  • BACKGROUND/OBJECTIVES: The study objectives were to examine the participation rate in food assistance programs and explore the factors that contribute to such participation among the Korean elderly population. SUBJECTS/METHODS: The study sample comprised 3,932 respondents aged 65 years or older who were selected from a secondary data set, the fourth Korean Welfare Panel Study (KoWePS). The factors, related to participation in programs were examined based on the predisposing, enabling and need factors of the help-seeking behavior model. Multiple logistic regression analysis was used to select the best contributors among the factors related to program participation. RESULTS: The predisposing rate in food assistance programs was 8.5% (7.1% for men and 10.4% for women). When all variables were included in the model, living without spouse, no formal education, low income, having social security benefits and food insecurity in elderly men, and age, low income, having social security benefits and feeling poor in elderly women were significantly related to a higher tendency to program participation. CONCLUSIONS: The predisposing and need factors, such as living without spouse, low education level, food insecurity and feeling poor were important for program participation, as well as enabling factors, such as household income and social security benefits. A comprehensive approach considering these factors to identify the target population for food assistance programs is needed to increase the effectiveness and target population penetration of these programs.

Analysis of Unequal Distribution of Population Income in Indonesia

  • PRAWOTO, Nano;CAHYANI, Richa Dwi
    • The Journal of Asian Finance, Economics and Business
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    • 제7권7호
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    • pp.489-495
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    • 2020
  • Income inequality is a problem that is not only faced by developing countries such as Indonesia, but also developed countries. The difference lies in the proportion of an inequality that occurs and the solution to the level of difficulty experienced. Thus, this study aims to empirically analyze the unequal distribution of population income in Java island, Indonesia, by including the human development index, open unemployment rate, foreign investment, and the degree of fiscal decentralization. The research model used in this study was multiple linear regression to analyze the panel data with a fixed-effect model approach. The results of the study showed that human development index, open unemployment rate, and the degree of fiscal decentralization had a positive and significant effect on income inequality in Java island. Meanwhile, foreign investment had a negative and insignificant effect on income inequality in Java. It is because the value of the investment is more invested in the capital-intensive sector. The government is expected to be more selective in accepting foreign investments that enter the country, especially in Java, and it should be labor-intensive investments. In addition, the government has to equalize locations for foreign investment without reducing good cooperation with these foreign investors.

ICF에 기반한 산업재해 여성 근로자의 업무수행능력에 영향을 미치는 요인연구 (Factors Related to Job Performance of Female Patients with Workplace Injuries by using ICF Model)

  • 이민재;김환
    • 대한물리의학회지
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    • 제13권2호
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    • pp.21-31
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    • 2018
  • PURPOSE: This study examined the differences between male and female workers by investigating the various factors that affected the workers' abilities to return to work according to the International Classification of Functioning standards. METHODS: We analyzed the personal factor, environmental factor, work performance and participation factor related to ICF according to worker's gender. For this purpose data from the third Worker's Compensation Insurance panel survey conducted by the Korea Workers' Compensation & Welfare Service were analyzed. In order to verify the research model, we used frequency analysis, cross analysis to compare the differences between male and female workers according to personal, environmental, work performance, and participation factors and hierarchical regression analysis to identify significant factors affecting job performance. RESULTS: The results, indicate that the level of education, license status, working period, socioeconomic status and employment type of female workers were lower than those of male workers. Factors that have the greatest influence on job performance are grade of disability, status of disability, economic activity status, and instrumental activities of daily living (p<.05). CONCLUSION: It is necessary to provide socially stable employment support and social policy support without discrimination to allow disabled female workers to return to work and maintain their jobs and to study factors influencing job performance further.

무역원활화가 양국 간 무역에 미치는 영향 -중국과 일대일로 회원국을 중심으로- (The Impact of Trade Facilitation on Bilateral Trade Flows-Focusing on China and the other Belt and Road member countries)

  • 관해명;박하일
    • 무역학회지
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    • 제45권4호
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    • pp.25-43
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    • 2020
  • This study mainly measures the level of trade facilitation in member countries along the "the Belt and Road" and discusses the impact of trade facilitation on bilateral trade. Based on the research results of domestic and foreign scholars, this study made a new systematic measuring system which covering 4 indicators and 15 subordinate indicators, to obtain the trade facilitation index. Based on the extended gravity model, this paper conducts a panel data, for more than 50 major trading members along the "the Belt and Road" during 2010~2017 as an example to empirically study the relationship between the trade facilitation level of major trading members and the volume of China's import and export trade. The results show that the level of trade facilitation among member countries is not high and the trade facilitation variable has positive value, indicating that the trade facilitation variable has positive effect on increasing bilateral trade. If the trade facilitation increases by 1% respectively, the bilateral trade level will increase by 0.98% separately. Finally, according to the regression results of four aspects of the trade facilitation index system, e-business development plays the most significant role in promoting trade facilitation.

영과잉 토빗모형을 이용한 한국 소득분포 자료의 베이지안 분석 (Bayesian analysis of Korean income data using zero-inflated Tobit model)

  • 황지수;김세완;오만숙
    • 응용통계연구
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    • 제30권6호
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    • pp.917-929
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    • 2017
  • 한국노동패널조사에서 제공하는 2015년 한국 생산가능인구의 월평균 소득분포를 보면 0 관측치의 비율이 과도하게 높은 형태를 보여 기존의 소득분포에 주로 사용되는 토빗모형으로는 설명에 한계가 있다. 본 연구에서는 영과잉 특성을 반영하여 영과잉 토빗모형을 사용하여 한국인의 소득 자료를 분석한다. 영과잉 토빗모형은 2단계 모형으로 1단계에서는 소득이 0인 그룹을 두 그룹으로 나누는데, 첫 번째 그룹은 노동시장 참여의지가 없어 시장에 참여하지 않으므로 0이 관측되는 그룹(genuine zero)이고 두 번째 그룹은 노동시장 참여의지는 있으나 낮은 임금으로 인하여 절단되어 0이 관측되는 그룹(random zero)으로 가정하였다. 두 번째 random zero 그룹은 0 이상의 연속 자료와 결합하여 토빗모형을 적용한다. 1단계와 2단계 모형에 관심 있는 설명변수를 가진 회귀모형을 적용하여 노동시장 참여여부와 임금 수준에 영향을 미치는 요인을 알아본다. 마코브 체인 몬테칼로 기법을 사용하여 모수를 추정하고 기존의 토빗모형과 비교한 결과 영과잉 토빗모형이 0의 빈도추정과 모형 적합도 면에서 우수한 결과를 보였다. 분석결과 나이가 많을수록, 남자가 여자보다, 학력이 낮을수록, 노동시장에 참여할 가능성이 매우 유의하게 높으며, 사회경제적 지위가 높을수록 그리고 유보임금이 낮을수록 노동시장에 참여하지 않을 확률이 높은 것으로 나타났다. 임금수준을 보면, 남자가 여자보다, 학력이 높을수록, 기혼이 미혼 보다 매우 유의하게 더 높은 임금을 받는 것으로 나타났다.