Vol. 1 No. 2 (2020)

Articles

• 19 Pages Download PDF: Socioeconomic Impact of Solar Pump on Farmer Livelihood in Southern Punjab, Pakistan: A Case Study of District Vehari

  Socioeconomic Impact of Solar Pump on Farmer Livelihood in Southern Punjab, Pakistan: A Case Study of District Vehari

  Hamza Zaka, Usman Mustafa, Muhammad Ramzan Sheikh

  https://doi.org/10.36923/jcmi.v1i2.454

  This study enlightens the socio-economic impact of solar energy on farmer livelihood of District Vehari. This is a quantitative study and primary data has been collected through well-structured questionnaire. Structure equation modelling (SEM) is adopted to analyse the impact of observed and unobserved variables on farmer livelihood as well as socio-economic well-being. A comparison of adopter and non-adopter has been done. Socio-economic well-being shows positive and significant on farmer livelihood but strength of impact in case of users of solar pump is more than non-users. In case of total income partial mediation takes place and has direct and indirect (through solar energy) impact is positive and significant on socio-economic well-being. Highest education in family has insignificant impact on solar energy showing that it does not play any role in adoption. The actual reason of non-adoption that has been observed is high cost of solar panel so there is need subsidised the installation of it by the government.

  pp. 1-19 Abstract views:151 Downloads:43

• 15 Pages Download PDF: The Determinants of Demand for Money: Empirical Evidence from Some Selected Developing Countries

  The Determinants of Demand for Money: Empirical Evidence from Some Selected Developing Countries

  Sabiha Parveen, Muhammad Sibt e Ali, Muhammad Atif Adeem

  https://doi.org/10.36923/jcmi.v1i2.455

  This study is to estimate money demand determinants of some selected developing countries by using panel data from 1992- 2015 covering 95 countries having different income level. This study is based on three main income group countries lower, middle and upper middle income economies. Demand for money (M2), gross domestic product (GDP), inflation, rate of deposit, population and consumption are taking as variables. The stationary of variables heck through panel unit root. Variables are stationary at level and first difference. The results are estimated from panel ARDL (autoregressive distributed lag) technique. Result shows that short run exist in all these countries and their results are fluctuating from country to country. In long run, inflation, population and consumption has strong impact but economic activities (GDP) and rate of deposit varies from country to country because every country’s rules and regulations are different. The objective of the study is to estimate the determinants of money demand. How people demand for money in different countries and its impact on economic activities.

  pp. 20-34 Abstract views:396 Downloads:85

• 14 Pages Download PDF: Exploring and Estimating the Size of Shadow Economy by Using Monetary Approach: Case Study of Pakistan

  Exploring and Estimating the Size of Shadow Economy by Using Monetary Approach: Case Study of Pakistan

  Shehreen Gull, Roeela Kausar, Anum Saleem

  https://doi.org/10.36923/jcmi.v1i2.456

  The core purpose of present article is to explore and estimate the size of Shadow Economy of Pakistan. The study used annual Time series data from time span of 1980 to 2018. The present research introduced Lending Interest Rate as additional variable for the very first time to estimate the Shadow or dim Economy. The study also focused on Currency Demand Approach (CDA) which is the best way of estimation the size of S.E. The results of ARDL, Unit Root Test (ADF) and Bound Test have also generated for the purpose. The study investigated positive relationship between Currency Circulation to Money Supply Ratio and GDP, Inflation, Interest rate and Total Tax Revenue through ARDL and estimated the required Shadow Economy. The study also explored the Shadow Economy. The study also explored the Shadow Economy of Pakistan and estimated the size of S.E. Size of tax evasion community has also derived by present research which represent that taxes are not the only measures of Shadow Economy.

  pp. 35-48 Abstract views:215 Downloads:65

• 15 Pages Download PDF: Estimating Health Determinants of Two Generations: Evidence from Selected Districts of Pakistan

  Estimating Health Determinants of Two Generations: Evidence from Selected Districts of Pakistan

  Imran Abbas, Sumaira Batool, Muhammad Ali Nawaz

  https://doi.org/10.36923/jcmi.v1i2.457

  Health status is an important indicator of quality of life. There are a number of social, economic and administrative factors and physical environment at personal, family, community, and national levels that shape the health status of individuals, households, communities or nations. These factors determine the health status of people, which is crucial to the economic development of the country. The present study estimates the range of health determinants for the two generations in Pakistan. The results show that access to health facilities, family literacy level, household size, housing and sanitation facilities, nutrition and drinking water, family income, maternal mortality rate and rural/urban area are important determinants of health across generations in the country. The study uses primary data of two generations, with sample size of 2000 households. This paper is the first of its kind in Pakistan which tries to find out the generational effect on determinants of health.

  pp. 49-63 Abstract views:168 Downloads:47

• 13 Pages Download PDF: Modeling the Impact of Export along with Government Education Spending on Economic Growth of Pakistan: An ARDL and Bound Test Approach

  Modeling the Impact of Export along with Government Education Spending on Economic Growth of Pakistan: An ARDL and Bound Test Approach

  Roeela Kausar, Muhammad Waseem, Shehreen Gull

  https://doi.org/10.36923/jcmi.v1i2.458

  The main focus of the present research work is to scrutinize the effect of export on the economic growth of Pakistan. For this motive, the research work put to use annual time sequence data for 46 years from1972 to 2018. In the affairs of dependent and independent variables, the make use of GD P as dependent and Exports, Exchange Rate, Capital Investment, Labour Force Participation Rate Education Spending and Inflation are utilized as independent variables. For data stationary justification, the study applied the Augmented Dickey-Fuller (ADF) unit root test. To find out the long–run and short-run results, the study used Autoregressive Distributed Lag (ARDL) approach. The empirical results show the optimistic and statistically significant effect of export on the GDP growth of Pakistan. Other independent variables like Capital Investment, Education Spending, and Labour Force Participation Rate also have a positive and unforgettable effect on the GDPP growth of Pakistan. Exchange Rate put a negative impact and significant in the long – run and Inflation put a positive effect on the GDP growth of Pakistan insignificant in the long – run.

  pp. 64-76 Abstract views:163 Downloads:46