Government Expenditure on Education: How Effective and Efficient is It? | Chapter 4 | Modern Perspectives in Economics, Business and Management Vol. 8

 The goal of this research is to look into and examine the efficiency and efficacy of local government education spending at the district and municipal levels in East Java from 2007 to 2014. Furthermore, the impact of local government spending, household education spending, and the gross regional domestic product (GRDP) on the educational outcome, namely the education index, is examined in this study.

The methodology for measuring the efficiency of local government expenditure on educational results was chosen as Data Envelopment Analysis (DEA). Constant return to scale (CRS) and variable return to scale (VRS) were assumed in the model (VRS). Panel data regression was used to calculate the effectiveness of government spending. The current study employed data from 38 districts and cities in East Java from 2007 to 2014 to support the analysis. The findings revealed that government spending on education is generally wasteful. Government Education Expenditure (PPP) had no significant impact on the educational index, however Household Education Expenditure (PPRT) and GRDP per Capita had a positive significant impact (IP). This suggests that government spending on education is ineffective in raising educational standards.

Author (S) Details

Achmad Solihin
Faculty of Economics and Business, Universitas Airlangga, Indonesia.

Djoko Mursinto
Faculty of Economics and Business, Universitas Airlangga, Indonesia.

Lilik Sugiharti
Faculty of Economics and Business, Universitas Airlangga, Indonesia.

View Book :- https://stm.bookpi.org/MPEBM-V8/article/view/3648

Econometrics Panel Data and Dea in Practice Guide | Book Publisher International

 This text book is designed to address the basic econometrics demands of master's and graduate students in economics, finance, and other social sciences, as well as other advanced scholars in the field of social science and science. Non-statistical research professionals will find the statistical and mathematical applications used to be relatively difficult to understand. The author elucidates local study areas, with specific examples drawn from earlier studies in the areas of auditing, savings and credit cooperative societies, and Tropics County Government activities. The use of empirical approaches such as non-parametric and parametric analysis, as well as data envelopment analysis in Stata software, is heavily emphasised in making sense of the data obtained. The Gauss Markov theorem, functional forms, vector error correction models, time series analysis, unit root tests, panel data models, data envelopment analysis (DEA), and structural equation modelling are among the specific subjects discussed. The book also contains a wealth of inefficiency and efficiency measurement routines in Stata utilising the DEA technique. The cited illustrations in the text book primarily involve author research in the areas of auditing services and front-office banking services in savings and credit cooperative societies (Saccos), as well as efficiency measurement targeting County Governments departments' operations with a specific sample drawn from the Tropics of Kenya. The use of DEA to measure efficiency in departments like as schools, hospitals, corporations, and universities, among others, is a serious replacement for the time-honored and subjective balanced score card approach often used in enterprises. When it comes to structural equation modelling (SEM), a modern topic of study in the field of econometrics, researchers and students can rely on this book. The application of panel data is briefly explored in this guide book.

Author(s) Details

Leonard R. Lari
KCA University, Kenya. and Moi University, Kenya.

View Book:- https://stm.bookpi.org/EPDDPG/article/view/2130

Variation of Ownership Structure and Firm Efficiency: An Empirical Evidence | Chapter 10 | Selected Topics in Humanities and Social Sciences Vol. 1

 Malaysia's firm ownership structure has shifted as business organizations thrive and the national economy expands. Furthermore, it has changed as a result of the government's economic transition, industrialization, and privatization policies implemented over the last four decades. Firms with various ownership structures may be said to have varying levels of efficiency. Highly concentrated firms are expected to be more efficient because this type of ownership structure may reduce the conflict of interest that exists between managers and shareholders. Publicly traded companies in Malaysia have been found to have a highly concentrated ownership structure. However, it is unclear whether this evidence applies to all industries. As a result, the goal of this paper is to see if there are differences in ownership structure and firm efficiency across sectors. To achieve this goal, the frequency distributions of ownership structure were calculated, as well as the efficiency scores of firms. Consumer goods, industrial goods, construction, and the trading/services sectors were all assessed. To estimate firm efficiency scores, Data Envelopment Analysis (DEA) was used with the assumptions of constant returns to scale (CRS) and variable returns to scale (VRS). The stratified random sampling method was used to select a sample of 156 firms listed on the Kuala Lumpur Stock Exchange (KLSE). According to the findings, there are differences in firm ownership structure and efficiency across sectors. According to this study, firms with high ownership concentration appear to be more efficient than firms with low ownership concentration. As a result, the government should ensure that Malaysian companies improve their corporate governance practices in order to increase efficiency.

Author(s) Details

Profesor Dr. Sallahuddin Hassan
School of Economics, Finance and Banking, UUM COB, Universiti Utara Malaysia, Malaysia.

Zalila Othman
School of Economics, Finance and Banking, UUM COB, Universiti Utara Malaysia, Malaysia.

Associate Profesor Dr. Mukaramah Harun
School of Economics, Finance and Banking, UUM COB, Universiti Utara Malaysia, Malaysia.

View Book :- https://stm.bookpi.org/STHSS-V1/article/view/1536