Corporate Social Performance of Indonesian State-Owned and Private Companies

The objectives of this study are to analyze the difference of corporate social performance between State-owned and private companies in Indonesia, and also to analyze the correlation between the corporate social performance (CSP) and the corporate financial performance by using company size, and institutional ownership as control variables. The population of this study is Indonesian state owned and private companies in the year of 2001-2004. Purposive sampling was used in this study, and final samples are 461 companies. The CSP or CSR (Corporate social responsibility) score is measured by content analysis of corporate annual report using seven item developed by Michael Research Jantzi Research Associate, Inc. The data is tested by independent t-test to determine the mean difference and by using partial correlation test to know the correlation between the corporate social performance and financial performance. The results of this study are that there is no significant difference mean of corporate social performance between state-owned and private owned companies in Indonesia. In addition, the correlation test indicates that there is no association between corporation social performance and financial performance both in SOCs and POCs

Political and Economic Impacts of Brexit on UK

Brexit is a term used to explain about the departure or withdrawal of Great Britain from the European Union. Brexit is a very important political development of recent political scenario of Europe. It has its impacts on the economic and political future of both UK and EU. The UK is enjoying membership of the EU from the beginning. But in mid of 2016 a referendum was held in UK to decide whether they should remain in EU or exit. The British people decide in favor of exit with a simple majority of 51.9%. After that referendum British Prime Minister David Cameron resigned and new general elections were held in 2017. Since the referendum the UK and EU are negotiating on an exit deal and the UK is due to leave the union on 29th March 2019. It will have its dimensions and implications. There are voices rose demanding a new referendum on the issue because many British people think that the Brexit is not good for UK. There are pro EU voices in European countries who also wish UK to remain part of this community. In this descriptive study ‘impacts of Brexit on UK’ has been discussed and economic and political dimensions have been observed by the researchers

An Approach to Calculate Exact Coverage Area for Connected Wireless Sensor Network

واحدة من التقنيات المتقدمة المستخدمة في أنظمة الاتصالات للشبكة الذكية هي شبكة الاستشعار اللاسلكية (WSN). WSN لديها مجموعة واسعة من التطبيقات تغطي العديد من المجالات مثل، إدارة الكوارث، اكتشاف حقل المعركة، التأمين على الحدود، مراقبة صحة المرضى، وغيرها. أن مشاكل الربط والتغطية للمستشعرات في الآونة الاخيرة لها أهمية عظيمة.  في البحث، قمنا بعرض الاتصال وتغطية العقد في WSN, تم اعداد خوارزمية لحساب مساحة التغطية المضبوطة لمجموعة عقد شبكة الاستشعار بالتوزيع المتجانس المستوي لنموذج القرص البسيط. هذه الخوارزمية تعتمد ارتباطات العقد ضمن مدى الاتصالات الاقصى للعقدة لذلك لايوجد في المساحات مناطق منفصلة. في حين تم احتساب كل المساحات غير المغطاة بالاستشعار ضمن المنطقة قيد الاهتمام (RoI) ضمن المساحة المغطاة. لذا تم احتساب النسبة المئوية للمساحة المغطاة بالضبط. ان استخدام هذه الطريقة سيكون الحجر الاساس للدراسات التي تتطلب سيطرة أفضل لنشر عقد المتحسسات. One of the advanced technologies used in the communicating systems of the intelligent grid is Wireless Sensor Network (WSN). WSN has a wide range of applications covers many fields like catastrophe management, hostilities field recognition, border insurance, patient health monitoring, and others. The sensor connectivity and coverage problems recently have a great attention. In this paper, we presented the connectivity and coverage of nodes in WSN, a new algorithm is prepared to extract exact coverage area of plain uniform depletion of node samples according to simple disk model. This algorithm considers the connection of nodes within maximum range of transmission communications, therefore no disconnected graph occurs. While uncovered area within region of interest (RoI) inside coverage area is calculated, although many uncovered regions occurred. So the coverage percentage area is calculated in an exact solution. This algorithm will be one of keystone study to better control of sensor depletion.    &nbsp

Implementation of Basel II in Microfinance Sector of Pakistan

The Basel, the new accord on banking regulation and supervision covers the risk of capital and credit risk. Basel II covers the additional risk of market which completes the first and second pillars. It includes the disclosure of basic information to its market participants. This information is a sum of risks that institution has to face, capital risk exposure, risk assessment process, capital adequacy of the bank, the techniques to account fall the risks. The aim of the study was to implement Basel II in microfinance sector of Pakistan. The study is unique because it is never analyzed before in microfinance sector of Pakistan. The discussion method was used for results and results of the study shows that new accord will definitely help the managers and practitioners to evaluate the performance of this sector. Keywords: Basel 1, Basel II, Capital Accord, Microfinance, CAR, Operational Risk, Market Risk

Protection of apricot Biodiesel from Thermal Degradation by using natural antioxidants of Fagopyrum tataricum (L.) Gaertn

The present study aims to improve the oxidation stability of wild apricot kernel oil biodiesel (WAKOB) by using natural antioxidants of Tartary buckwheat (Fagopyrum tataricum (L.) Gaertn). Biodiesel was synthesized at different catalyst (NaOH) concentrations, reaction temperatures, reaction time intervals and methanol-to-oil molar ratios. Thermal oxidative stability measurements were carried out according to EN14112 using a Rancimet instrument. Our results showed a high yield of biodiesel (97±1.092) at 65oC in the presence of 1% NaOH (%w/w oil) and methanol/oil molar ratio of 9:1 and for the time duration of 60 min. Proton nuclear magnetic resonance (1H NMR) confirmed the conversion percentage of kernel oil into biodiesel, which was further evidenced by Fourier transform infrared spectroscopy (FT-IR) and refractometer analyses. Methanolic fraction of Tartary buckwheat leaves (MTBWLF) was standardized to contain the highest amount of phenolics (209 mg gallic acid/100 g). In this study, the mixture of synthetic antioxidant butylated hydroxyl toluene (BHT) (0.25%) and methanolic extract of Tartary buckwheat leaves (0.5%) ensured high oxidation stability of biodiesel samples, leading to stabilizing factor of 4.86

Determinant of Inflation in Pakistan: An Econometrics Analysis, Using Johansen Co Integration Approach

The main object behind the study is to explore the long run and short run dynamics of inflation in case of Pakistan. For this purpose study used annual data 1971 to 2012. Johansen co integration approach is used to check long run equilibrium while ECM (Error Correction Model) is used to check short run dynamics. The result highlighted GDP, M2, energy crises, import and current government expenditure, output gap and adaptive expectation create inflation while development expenditure negatively corrected with inflation. The study concluded that in Pakistan demand side and supply side inflation persist. Key Word: Inflation, Long run and Short ru

Mixed noise removal using adaptive median based non-local rank minimization

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Relationship among Economic Growth and other Macroeconomic Variables: A Study of Pakistan

This study is investigating the short run and long run relationship among major macroeconomic variables and economic growth for the economy of Pakistan during 2000 - 2015. Autoregressive distributed lag (ARDL) model and bounds test have been applied to estimate the short run and long run relationship between GDP and  other major macroeconomic variables like,  labour force, rate of capital formation, money supply, inflation rate, trade rate, foreign direct investment (FDI) and unemployment. ARDL model indicates significant relationship between labour force, FDI and unemployment economic growth, in the long run, at 1% and 5% level. Keywords: Macroeconomic variables; capital formation; money supply; inflation; trade; FDI; unemployment; economic growth; ARDL model. JEL Code: O1; O4; F43. DOI: 10.7176/JRDM/54-07 Publication date: April 30th 201

EMOTIONAL CONTAGION AND JOB SATISFACTION AMONG TEACHERS OF CHILDREN WITH LEARNING DISABILITIES IN PAKISTAN

The Objective of current study was to investigate the relationship between emotional contagion, job satisfaction and different demographic variables among special education teachers. A sample of 80 special education teachers with age range of 20 to 50 years, from all kinds of learning disabilities, more than six months teaching experience were recruited from different special education centers of federal and Punjab. Emotional contagion was measured by Emotional Contagion Scale developed by Doherty (1997) and job satisfaction of teachers was measured by Teaching Satisfaction Scale (TSS) developed by Ho and Au (2002). Result showed that happiness is positively associated with job satisfaction and anger and sadness are negatively associated with job satisfaction, whereas emotions of love and fear were not associated with job satisfaction. Moreover, it has been found that different demographic variables of special education teachers such as education and pay scale are associated with job satisfaction whereas gender, age, job experience and marital status are not associated with job satisfaction. Results suggest that in order to improve job satisfaction of teachers, emotional contagion should be considered.   Article visualizations

Determinants of Dividend with Industry-wise Effect – Evidence from KSE 100 Index

This research have identified the industry-wise effect of dividend policy among non-financial listed companies of KSE – 100 Index. For this purpose data from 2006 to 2011 for 53 companies of different industries i.e. Fuel and Energy Sector, Chemicals Sector, Cement Sector, Engineering Sector, Textiles Sector and Transport and Communication Sector have been taken. Multiple Regression Analysis has been used to identify the prominent determinant of Dividend and Industry effect was captured through incorporating six dummy variables for said industries. Results highlighted that apart from profitability most powerful determinant of dividend there are other factors of life cycle, tangibility of assets are prominent whereas capital structure, size of firm and cash flows per share is not significant determinant of dividend. Apart from these variable, Industry-wise effect shows that all the above significant determinants remains significant within industry except textile sector