A major health policy concern is the presence of inefficiencies in health care provision. This study estimates the technical efficiency for ambulatory services and inpatients care in private sector hospitals in Pakistan. Efficiency scores for the sample hospitals, estimated using Stochastic Frontier Analysis, are aggregated at the regional (district) level to identify the existence of spatial interdependence. The results from the spatial analysis suggest that efficiency has a positive spillover for outpatient care in small hospitals. Big hospitals, however, show inconsistent results. We concluded that small hospitals compete in outpatients with the motive of profit maximization.

Behavioral finance challenged paradigms of standard finance by questioning rationality assumptions posed by market efficiency that had been a focal point for researches in finance and economics. This study aimed to test Strong-Form Efficient Market Hypothesis by employing data from emerging Stock Markets of Pakistan before its amalgamation and applied a different methodology. Firms were tested upon data availability and accordingly, ten firms were selected out of sixteen further for usability criteria of data. A part of the current study also validates the usefulness of dividend announcements for valuing the stock of KSE listed firms and suggested utilizing it in stock price revision. The market was found weak and strong form inefficient whereas the hypothesis for semi-strong form sustained overall

The study aimed at exploring the relationship between efficiency and profitability of private commercial banks operating in Pakistan. The efficiency represented by technical efficiency has been assessed by non-parametric data envelopment analysis approach while profitability indicated by return on assets has been computed through conventional ratio analysis for period 2009 to 2013. The analysis revealed that technical efficiency declined during the study period and remained at 89%. HMB was identified as the top-performing bank in technical efficiency while MCB remained highly profitable. Banks were then grouped based on TE and ROA. MBL, UBL, DIB, SCB, BAH, HBL and HMB observed as top-performing banks based on TE and ROA. These banks are considered a role model for other inefficient and less profitable banks. Whereas, other banks were grouped as weak, based on below-average ROA and TE scores. These banks can adopt distinct product mix or business strategies to become profitable in future.

The study explores how bureaucratic efficiency effects international trade in Bangladesh, Pakistan, India, and Srilanka. A composite indicator of government effectiveness is used to measure bureaucratic efficiency and model is estimated by using the SYS-GMM. It is well recognized that bureaucratic efficiency is vital to the enhancement of trade, whereas the result shows that a negative relationship exists between bureaucratic efficiency and trade openness. Similarly, encouraging link exists between government size and international trade as the government provides different services to enhance the trade at the international market.

This study reviews the growth strategies and their effect on the efficiency and productivity of the microfinance sector of Pakistan. The sector needs to have adopted intensive growth strategy instead of extensive strategies of wide expansion in term of physical infrastructure and human resources, which had increased the financial sustainability risks for the credit constrain institutions. The sixdimension model of outreach used in this study also shows that the sector does not achieve the targets set forth for these micro finance institutes with respect to its active borrowers’ outreach. The sector has mainly focused the big cities and urban areas whereas the poverty levels are higher in rural areas. The government has also shown its interest by launching two different types of loan schemes. Among the three different types of institution, the microfinance banks dominate the sector.

An experimental research study was designed to analyze the efficiency of accelerated learning to facilitate the understanding of the English language at secondary level. The population of the present study consists of all students of grade 9 who were enrolled in Government High School Heir, Bedian Road Lahore in academic year 2018-2019. By applying simple random sampling technique, sixty-four (64) students were preferred as a sample. Data were collected by conducting pre-test and post-test and analyzed by SPSS software version 21. The analysis pointed out that the students taught through accelerated learning perform better as compared to the students taught via traditional method. Furthermore, it was also found that the students who were taught via accelerated learning method of teaching can perform maximum learning levels of domains as compared to others. The study recommended that subject English should be taught with accelerated learning method of teaching at secondary level.

This paper investigates listed firm efficiency on Pakistan Stock Exchange by using Data Envelopment Analysis (DEA). The reason for application and calculation of the DEA score is to know how much the firms are efficient in utilizing their resources to be converted into output (sales/Net Income). An optimization technique (DEA) that helps calculate efficiencies of firm’s decision making Units (DMU’s) by taking different inputs and outputs variables. This paper uses DEA in measuring efficiency of 136 Pakistani firms listed on Pakistan Stock Exchange (PSX). Using secondary data set of 136 firms for the period 2008-2017, efficiency measurements are calculated by using financial ratios and financial indicators as input and output variables. Results show that some of the firms are efficient in utilizing their available resources in an efficient way to convert it into output, while some are inconsistent in efficiently utilizing their resources (inputs) to get the desired outputs.

In view of corporate lifecycle theory, financial distress is one of the fundamental phase in the life of a firm. Despite being unaffected by Global Financial Crises 2008, that time period proved critical for the corporate sector of Pakistan. This study aims to measures the firm-level financial distress in Pakistan by employing the bankruptcy models of Altman-(1968), Ohlson-(1980), Zmijewski-(1984) and JZ-(2016) for all nonfinancial firms for the years, 2002-2014. The major findings show that Z-score is the best bankruptcy forecast model, followed by Zmijewski model. This study has significance and policy implications as it will help to choose best bankruptcy studies for timely prediction of financial distress leading towards bankruptcy and helps firms to trigger corrective measures thus helping firms from entering into failure.

This study generally examines the influence of education, health, experience and government loans on farmers productivity in district Nowshera. Specifically, this study (a) finds out the role of socio-economic factors determining tomato production in district Nowshera and (b) estimates technical efficiency of the tomato farmers in the area. Primary data has been collected through a field survey from 61 tomato producers of selected villages of the district. The results reveal on the average tomato farms in the study area are 95% efficient, indicating a 5% potential for the farms to attain the maximum output level while the range of efficiencies was 89% to 99%. Moreover, the results also showed education, health, experience and government loans playing a significant role in the determination of the tomato production. On the basis of these results, it is suggested that government increase spending on education and health as such loans can play an important role in the tomato farming in district Nowshera.