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Journal articles on the topic 'Public education spending'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 February 2022

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1

Ellis, Jason. "A Short History of K-12 Public School Spending in British Columbia, 1970-2020." Canadian Journal of Educational Administration and Policy, no. 196 (June 30, 2021): 102–23. http://dx.doi.org/10.7202/1078520ar.

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This article looks at fifty years’ worth (1970-2020) of public K-12 education expenditure data from the Canadian province of British Columbia. It asks if spending has increased or decreased in this period and examines the causes and correlates of spending changes. Previous research has tended to assume that spending has decreased during this “neoliberal” period. However, historical and empirical research in this article gives a much different picture. K-12 public education spending in British Columbia – adjusted for inflation – is 250 percent higher in 2020 than it was in 1970. Meanwhile, enrolment in 2020 is only 110 percent of 1970 enrolment. The main cause of spending growth is increase in the number of teachers the system employs, which depended in no small part on the British Columbia Teachers’ Federation (BCTF)’s successful attempts to negotiate class size and composition rules. Other causes of spending growth are provincial and district spending priorities. Successive provincial governments have tried to rein in education spending by legislating cost controls on district spending and teacher contracts but have seldom achieved reductions for long. Spending increases and attempts at cost control are at best only linked partially to governing party ideology, with right-wing and left-wing provincial governments both initiating years of increases and cutbacks. More empirical research is needed, especially into spending’s effects on educational equity and quality, to complete the picture of education finance in British Columbia.

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2

Houston, David M. "Schoolhouse Democracy: Public Opinion and Education Spending in the States." Educational Researcher 48, no. 7 (August 6, 2019): 438–51. http://dx.doi.org/10.3102/0013189x19867948.

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Using new estimates of state-level public opinion, I explore the relationship between support for increased education spending and statewide per-pupil expenditures from 1986 to 2013. In the 1980s, there was a modest, positive relationship between public opinion and actual spending: States with greater support for increased education spending tended to have slightly higher per pupil expenditures. Over the next three decades, this relationship reversed. States with relatively low per-pupil expenditures tended to increase their spending at a slower rate despite steady growth in support for more spending. As a result, public opinion and education spending became inversely related. By the end of the time series, states with greater support for increased education spending tended to spend less per pupil. The changing distribution of local, state, and federal sources of education spending partially explains this pattern. As federal education expenditures rose, some states spent proportionally less from state and local sources, resulting in smaller overall spending increases in those states.

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3

Hodges, Jaret, and Jessica Ottwein. "Spending Floors in Gifted Education Services." Rural Educator 42, no. 1 (April 29, 2021): 32–45. http://dx.doi.org/10.35608/ruraled.v42i1.1106.

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For nearly two decades, the state of Texas mandated gifted education services and provided funding to public school districts. One policy that was unique to the state is the mandatory minimum spending. This research examines how these mandatory minimum spending floors influence spending in public school districts within the state and how that influence varies across locales. Our findings provide evidence that rural public school districts in Texas were more likely to operate near to the mandatory state minimum spending for gifted education than non-rural public school districts. In particular, rural public school districts allocated 50% of the funds towards gifted education programming as suburban public school districts when the minimum spending floors was accounted for. The results should provide caution to policy makers on the possible ramifications of removing spending floors on gifted education programming in rural public school districts.

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4

Mavisakalyan, Astghik. "Immigration, Public Education Spending, and Private Schooling." Southern Economic Journal 78, no. 2 (October 2011): 397–423. http://dx.doi.org/10.4284/0038-4038-78.2.397.

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5

Davin, Marion. "Public Education Spending, Sectoral Taxation, and Growth." Revue d'économie politique 124, no. 4 (2014): 553. http://dx.doi.org/10.3917/redp.244.0553.

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6

Herrera-A., Santiago, and Gaobo Pang. "How efficient is public spending in education?" Ensayos sobre Política Económica, no. 51 (June 2006): 136–201. http://dx.doi.org/10.32468/espe.5103.

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7

Mitra, Anuneeta. "Public Spending in Higher Education in India." Higher Education for the Future 2, no. 1 (January 2015): 71–91. http://dx.doi.org/10.1177/2347631114558191.

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8

Baskaran, Thushyanthan, and Zohal Hessami. "Public education spending in a globalized world:." International Tax and Public Finance 19, no. 5 (November 15, 2011): 677–707. http://dx.doi.org/10.1007/s10797-011-9202-z.

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9

Girard, Donald E., Patrick Brunett, Andrea Cedfeldt, Elizabeth A. Bower, Christine Flores, Uma Rajhbeharrysingh, and Dongseok Choi. "Plug the Leak: Align Public Spending With Public Need." Journal of Graduate Medical Education 4, no. 3 (September 1, 2012): 293–95. http://dx.doi.org/10.4300/jgme-d-11-00199.1.

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Abstract We explore the history behind the current structure of graduate medical education funding and the problems with continuing along the current funding path. We then offer suggestions for change that could potentially manage this health care spill. Some of these changes include attracting more students into primary care, aligning federal graduate medical education spending with future workforce needs, and training physicians with skills they will require to practice in systems of the future.

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10

Karim, Mohammad Rezaul. "Public Education Spending and Income Inequality in Bangladesh." International Journal of Social Science and Humanity 5, no. 1 (2015): 75–79. http://dx.doi.org/10.7763/ijssh.2015.v5.425.

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11

Swaleheen, Mushfiq, Mohamed Sami Ben Ali, and Akram Temimi. "Corruption and public spending on education and health." Applied Economics Letters 26, no. 4 (May 4, 2018): 321–25. http://dx.doi.org/10.1080/13504851.2018.1468549.

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12

Philipson, Tomas, and Richard A. Posner. "Public Spending on AIDS Education: An Economic Analysis." Journal of Law and Economics 37, no. 1 (April 1994): 17–38. http://dx.doi.org/10.1086/467305.

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13

Haddad, Mônica A., Ricardo Freguglia, and Cláudia Gomes. "Public Spending and Quality of Education in Brazil." Journal of Development Studies 53, no. 10 (October 17, 2016): 1679–96. http://dx.doi.org/10.1080/00220388.2016.1241387.

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14

KUNDU, Amit. "The Effectiveness of Public Spending on Education and Health Care in Brazilian Economy." Nile Journal of Business and Economics 2, no. 2 (May 5, 2016): 55. http://dx.doi.org/10.20321/nilejbe.v2i2.51.

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<p>The present study endeavors to examine the role of government spending on the education and health sectors with regard to promoting the gross domestic product (GDP) of Brazil over the last three decades. Johansen cointegration test confirmed the existence of cointegrating relation. The causal impact of education and health care spending on GDP was further examined in the study. Results of the estimated models showed that public spending on education and public spending on health-care have not been able to exert any impact on GDP. On the contrary, it is found that one period lagged GDP slowed down the government spending on health-care. The variance decomposition analysis indicates that in Brazil education spending and health care spending may contribute just about 8.5% and 6% respectively in constituting a GDP growth profile in the coming future. Therefore, it is found that Brazil’s fiscal system has a relatively low impact on the distribution of income as far as public spending on education and health-care are concerned.</p>

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15

Kundu, Amit. "The Effectiveness of Public Spending on Education and Health Care in Indian Economy." Indian Economic Journal 65, no. 1-4 (March 2017): 140–58. http://dx.doi.org/10.1177/0019466217727885.

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The present study endeavours to examine the role of government spending on the education and health sectors with regard to promoting the gross domestic product (GDP) of India over the last three decades. Johansen cointegration test confirmed the existence of cointegrating relation. The causal impact of education and health care spending on GDP was further examined in the study. Results of the estimated vector autoregression (VAR) models showed that public spending on education and public spending on health care have not been able to exert any impact on GDP. On the contrary, it is found that two-periods-lagged GDP Granger caused the government spending on health care. The variance decomposition analysis indicates that in India, education spending and health care spending may contribute just about 3 per cent and 15 per cent respectively in constituting a GDP growth profile in the coming future. Therefore, it is found that India’s fiscal system has a relatively low impact on the distribution of income as far as public spending on education and health care are concerned. JEL Classification: I25

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16

Evans, William N., Robert M. Schwab, and Kathryn L. Wagner. "The Great Recession and Public Education." Education Finance and Policy 14, no. 2 (March 2019): 298–326. http://dx.doi.org/10.1162/edfp_a_00245.

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We examine the impact of the Great Recession on public education finance and employment. Five major themes emerge from our work. First, nearly 300,000 school employees lost their jobs. Second, schools that were heavily dependent financially on state governments were particularly vulnerable to the recession. Third, local revenues from the property tax actually increased during the recession, primarily because millage rates rose in response to declining property values. Fourth, inequality in school spending rose sharply during the Great Recession. We argue, however, that we need to be very cautious about this result. School spending inequality has risen steadily since 2000; the trend in inequality we see in the 2008–13 period is very similar to the trend we see in the 2000–08 period. Fifth, the federal government's efforts to shield education from some of the worst effects of the recession achieved their major goal.

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17

Ward, Sue, Michael Parkinson, Pauline Asher, and Stephen Shaw. "Pointers: Public spending; Central government; Local government; Education; Prisons; Public money." Chartered Institute of Public Finance and Accountancy. Public Money 7, no. 1 (June 1987): 5–11. http://dx.doi.org/10.1080/09540968709387416.

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18

Landon, Stuart. "Institutional Structure and Education Spending." Public Finance Review 26, no. 5 (September 1998): 411–46. http://dx.doi.org/10.1177/109114219802600501.

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19

Ziberi, Besime, Rrezarta Gashi, and Mimoza Hodaj. "The Nexus Between Public Spending on Education and Economic Growth of Kosovo (Econometric Approach)." Economics and Business 34, no. 1 (February 1, 2020): 285–96. http://dx.doi.org/10.2478/eb-2020-0019.

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Abstract The main aim of this study is to analyse the trend of public spending dedicated to education in case of Kosovo over the years and to measure the impact of public spending in education on economic growth of Kosovo. In order to achieve the aim, the Pearson Correlation has been used and a multifactorial regression model (OLS) has been modified and adapted, where we have determined the Gross Domestic Product (GDP) as a dependent variable and as an independent variable in the model: (i) Public expenditure on secondary education and (ii) Public expenditure on higher education (university). The data used are secondary data from the Kosovo’s State Budget, Ministry of Finance and Transfers, and Kosovo Agency of Statistics. We have come to a conclusion that public spending dedicated to higher education (university) has a positive impact on Kosovo’s economic growth meanwhile public spending on secondary education does not show any effect. The paper suggests further recommendations on public spending policies dedicated to education in order to influence Kosovo’s economic growth.

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20

Fowles, Jacob T., and David A. Tandberg. "State Higher Education Spending: A Spatial Econometric Perspective." American Behavioral Scientist 61, no. 14 (November 30, 2017): 1773–98. http://dx.doi.org/10.1177/0002764217744835.

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This article uses spatial econometric modeling to estimate the extent to which state higher education spending in three categories (need-based aid spending, non-need-based aid spending, and appropriations to public universities) is affected by the spending decisions of neighboring states. Drawing on the relevant empirical and theoretical literature in public finance and economics, it evaluates three theoretically justified alternatives for defining the connectivity between states: physical proximity, relative population migration flows between states, and common state membership in regional interstate higher education compacts. Our empirical results find statistically significant geographical spatial interdependence in spending for need-based aid and higher education appropriations, but no equivalent effects for non-need-based aid. We discuss our results in the context of the continually evolving role of higher education in state budgets.

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21

Guleryuz, Ece H. "Interest Groups and Political Economy of Public Education Spending." International Journal of Research in Business and Social Science (2147-4478) 4, no. 3 (July 22, 2015): 28–41. http://dx.doi.org/10.20525/ijrbs.v4i3.20.

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This paper examines the relationship between the lobbying power of different interest groups and public education spending in a panel data estimation during the period 1996-2009 for 132 countries. The resource rents, manufacture exports, and agriculture value added are used as proxy variables for the lobbying power of the natural resource owners, manufacturers, and landowners, respectively, in order to substantiate the definition of the lobbying power of the interest groups more with economic fundamentals. As lobbying power is mediated through political institutions, different governance indicators are used individually and in interaction terms with the proxy variables in the estimations. It is found that when the country is more politically stable and the more the rule of law applies, the negative (positive) effect of the lobbying power of natural resource owners (manufacturers) on public education spending intensifies. The negative effect of landowners’ lobbying power diminishes as institutional quality as measured by governance indicators improves.

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22

Kumari, Reena. "Public Spending on Technical Education in India:Inter-State Comparison." Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics 59, no. 3 (September 1, 2017): 167. http://dx.doi.org/10.21648/arthavij/2017/v59/i3/167643.

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23

Sutherland, Douglas, Robert Price, and Eric Gonand. "Improving public spending efficiency in primary and secondary education." OECD Journal: Economic Studies 2009, no. 1 (July 6, 2009): 1–30. http://dx.doi.org/10.1787/eco_studies-v2009-art4-en.

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24

Coen-Pirani, Daniele. "Immigration and spending on public education: California, 1970–2000." Journal of Public Economics 95, no. 11-12 (December 2011): 1386–96. http://dx.doi.org/10.1016/j.jpubeco.2011.05.006.

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25

Nelson, F. Howard. "The Myth of High Public Spending on American Education." International Journal of Educational Reform 1, no. 3 (July 1992): 213–24. http://dx.doi.org/10.1177/105678799200100302.

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26

Sun, Hua-ping, Wei-feng Sun, Yong Geng, Xi Yang, and Bless Kofi Edziah. "How does natural resource dependence affect public education spending?" Environmental Science and Pollution Research 26, no. 4 (December 8, 2018): 3666–74. http://dx.doi.org/10.1007/s11356-018-3853-6.

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27

Yuan, Cheng, and Lei Zhang. "Public education spending and private substitution in urban China." Journal of Development Economics 115 (July 2015): 124–39. http://dx.doi.org/10.1016/j.jdeveco.2015.02.006.

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28

Amin, Aloysius Ajab, and Augustin Ntembe. "Public Spending on Education and Learning Outcomes in Senegal." Journal of Developing Areas 55, no. 4 (2021): 297–314. http://dx.doi.org/10.1353/jda.2021.0091.

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29

Luthfia, Munhamik, and Baldric Siregar. "HOW DO GOVERNMENTS SPEND THEIR PUBLIC SPENDING?" Jurnal Economia 12, no. 2 (October 1, 2016): 135. http://dx.doi.org/10.21831/economia.v12i2.11297.

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Abstrak: Bagaimana Pemerintah Mengalokasikan Pengeluaran Publiknya? Tujuan penelitian ini adalah untuk menguji apakah belanja daerah untuk belanja pendidikan, kesehatan, dan ekonomi mempengaruhi kesejahteraan, dan apakah populasi mempengaruhi hubungan antara ketiga belanja tersebut dengan kesejahteraan. Penelitian ini menggunakan sampel seluruh provinsi di Indonesia tahun 2008-2013, kecuali Provinsi Kalimantan Utara. Metode yang digunakan adalah metode regresi berganda. Hasil penelitian menunjukkan bahwa belanja pendidikan memiliki pengaruh positif, belanja kesehatan memiliki pengaruh negatif tidak signifikan, dan belanja ekonomi memiliki pengaruh negatif signifikan terhadap kesejahteraan. Populasi sebagai variable moderasi tidak mampu memoderasi hubungan antara ketiga belanja tersebut dengan kesejahteraan. Kata Kunci: belanja pendidikan, belanja kesehatan, belanja ekonomi, populasi penduduk, dan kesejahteraan masyarakat. Abstract: How Do Governments Spend Their Public Spending? The objectives of this study are to examine whether the local expenditure for education, health, and economic influence economic welfare, and whether population influences the relationship between them. This study used the sample of all province in Indonesia 2008-2013, except Kalimantan Utara Province. The method used in this study is multiple regression methods. The result of this study states that education expenditure had a significant positive effect, health expenditure had not significant negative effect, while economic expenditure had a significant negative effect on the welfare. Population as the moderating variable cannot moderate the relationship between that expenditure with the welfare. Keywords: education expenditure, health expenditure, economic expenditure, population, and welfare.

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30

Gafar, John. "Do the Poor Benefit from Public Spending? A Look at the Evidence." Pakistan Development Review 44, no. 1 (March 1, 2005): 81–104. http://dx.doi.org/10.30541/v44i1pp.81-104.

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This paper shows that public spending on basic services, to wit, primary and secondary education and basic health care, benefit the poor; while the non-poor are the principal beneficiaries of tertiary and education subsidies and hospital spending. The evidence also shows that expenditures on infrastructure spending tend to benefit the nonpoor disproportionately more than the poor.

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31

Asghar, Zahid, and Mudassar Zahra. "A Benefit Incidence Analysis of Public Spending on Education in Pakistan Using PSLM Data." LAHORE JOURNAL OF ECONOMICS 17, no. 2 (July 1, 2012): 111–36. http://dx.doi.org/10.35536/lje.2012.v17.i2.a5.

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Education is one of the most important means of economic development, and there is consensus among policymakers that it is better to be educated than not. The debate on education is not, therefore, whether it is good or bad, rather it centers on whether the state should intervene in its provision. Public provision of education at the school level is generally considered one of the most important investments for creating social opportunities to help the wider population actively participate in various economic activities. This study investigates whether public spending on education in Pakistan is pro-poor at various levels of schooling. We find that public spending at the primary and secondary level is progressive, while higher education spending is regressive. These results hold at the national and provincial level. Based on these findings, we recommend that the government increase its spending on primary, secondary, and technical education. Higher education, however, should be provided on merit, and the private sector should be encouraged to provide high-quality education.

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32

Taruno, Hendrawan Toni. "Public Spending and Poverty Reduction in Indonesia: The Effects of Economic Growth and Public Spending on Poverty Reduction in Indonesia 2009-2018." Indonesian Journal of Planning and Development 4, no. 2 (October 31, 2019): 49–56. http://dx.doi.org/10.14710/ijpd.4.2.49-56.

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Poverty is a complex and multidimensional issue. Over the past four decades, the number of poor in Indonesia has experienced a significant decline, from 40.10 percent in 1976 to 9.82 percent in March 2018. Nevertheless, the disparity of poverty rates between provinces is still quite high. The poverty rate in several provinces in Java Island, for example, is already at the single-digit level, while in Eastern Indonesia, is still more than double-digit level. As it is known, public spending and economic growth are two crucial instruments on poverty reduction programs. This study aims to investigate the role of economic growth and public spending, particularly education, health, and social protection on poverty reduction in Indonesia. By using panel data from 31 provinces during 2009-2018 period, this study used two regression models to analyze the effects of these two variables on poverty reduction, both in urban and rural areas. This study shows that public spending on health and education sectors has a slightly different effect on poverty reduction between urban and rural areas. Convincingly, spending allocation on health and education has had a significant effect to reduce poverty rate in rural areas, while the decline of poverty rates in urban is likely more influenced by spending on health. This study also shows that over the past ten years, economic growth and social protection spending did not have a significant effect on reducing poverty rates. Therefore, in order to reduce poverty more effectively, it would be better for the government to focus its poverty reduction programs on investment in health and education sectors.

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33

Knight, Tabitha. "Sex-Disaggregated Employment and Public Spending in China." Journal of Current Chinese Affairs 47, no. 1 (January 2018): 71–102. http://dx.doi.org/10.1177/186810261804700103.

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This paper econometrically analyses the relationship between public spending and women's and men's urban employment in China for the period 1999–2009. Theoretically, spending on healthcare and education could increase employment growth and women's relative employment via the expansion of paid care work (increasing labour demand) and reductions in unpaid labour (increasing labour supply). To empirically test this, female, male, and relative employment growth are estimated as functions of public spending while both demand-side and supply-side factors are controlled for. Economic growth is also included in a simultaneous equation estimation. While healthcare results are mixed, education spending is positively associated with economic growth, employment growth for both women and men, and women's relative urban employment. Using economic significance calculations, I describe how well-directed public policies can promote both economic growth and long- and short-run benefits in employment equality between the sexes.

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34

Geo-JaJa, Macleans A. "Educational decentralization, public spending, and social justice in Nigeria." International Review of Education 52, no. 1-2 (January 2007): 125–48. http://dx.doi.org/10.1007/s11159-005-5605-3.

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35

Kolosnitsyna, M. G., and Yu E. Ermolina. "Public Spending on Education and Economic Growth: Cross-Country Analysis." Voprosy statistiki 28, no. 3 (June 29, 2021): 70–85. http://dx.doi.org/10.34023/2313-6383-2021-28-3-70-85.

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This paper aims to identify the relationship between public spending on education and GDP in two groups of countries: members and non-members of the OECD, based on statistical and econometric methods, including the methodology for international comparative analysis. The two selected groups of countries differ in their level of economic development: the OECD, the so-called ‘rich countries club’, and the second group, relatively low-income developing countries. The first part of the article deals with theoretical and information and methodological issues related to research on the relationship between educational development and economic growth, in particular the general theory of human capital investment, human capital in endogenous growth models, principles for empirical estimates of the relationship between education spending and economic growth. In the second part of the article, were tested the hypotheses concerning key factors of economic growth. The authors based them on studied theoretical sources, empirical works, and the proposed statistical base of empirical calculations. The paper substantiated the degree of impact of various factors using different groups of countries as an example. Based on panel data for 1995–2018, we estimate econometric models of the relationship between GDP and education expenditures, using time lags. The results confirm the positive impact of total education spending on GDP in the long term. However, the results differ for the two groups of countries. While in rich countries, investment in all levels of education has a positive impact on GDP, in poor countries, only primary education has a positive return, while spending on secondary and vocational education reduces GDP. This may be due to the lack of demand for high-level education in economies with poorly developed technologies and labor markets. As conclusions, the authors formulate proposals of a managerial and methodological nature regarding the need to consider the country’s development level in its educational policy and choose investment directions that are adequate to the current needs of the economy. In countries with a low level of development and a low level of education for the majority of the population, diverting public resources to finance professional education may slow economic growth in the short term. Conversely, increased coverage of mass primary education may contribute to rapid growth in the near future.

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36

Fischer, Georg-Benedikt, and Berthold U. Wigger. "Fiscal Competition and Higher Education Spending in Germany." German Economic Review 17, no. 2 (May 1, 2016): 234–52. http://dx.doi.org/10.1111/geer.12088.

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Abstract The present paper studies the determinants of higher education spending by the German federal states with a focus on the interplay between higher education spending of neighboring states. More specifically, the paper asks whether the German federal states free-ride on one another’s higher educational spending or whether they employ higher education spending to attract university graduates. We identify a positive relationship between the states’ higher education spending and conclude that the states compete for graduates rather than free-ride. We also consider the effect of the recent introduction of tuition fees in some, but not all German states. We do not find evidence that tuition fees led to crowding out of public higher education funds.

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37

Garzarelli, Giampaolo, Yasmina Rim Limam, and Stefania P. S. Rossi. "Public Governance and Productive Efficiency in Sub–Saharan Africa." Journal of Public Finance and Public Choice 32, no. 1 (April 1, 2014): 99–112. http://dx.doi.org/10.1332/251569214x15664520275057.

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Abstract Do economic variables operate through the channel of public governance to impact technical (or productive) efficiency in Sub Saharan Africa? We present different stochastic frontier models where technical efficiency is a relation between three economic variables, education, government spending, and trade openness, and three public governance variables, government effectiveness, political stability, and regulatory quality. In all cases, education operates through public governance to improve efficiency while government spending does not.

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38

SALWA TRABELSI. "PUBLIC EDUCATION SPENDING AND ECONOMIC GROWTH: THE GOVERNANCE THRESHOLD EFFECT." Journal of Economic Development 43, no. 1 (March 2018): 99–122. http://dx.doi.org/10.35866/caujed.2018.43.1.005.

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39

Marlow, Michael L. "Spending, school structure, and public education quality. Evidence from California." Economics of Education Review 19, no. 1 (February 2000): 89–106. http://dx.doi.org/10.1016/s0272-7757(99)00035-7.

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40

Manzano, Dulce. "Partisanship, Inequality and the Composition of Public Spending on Education." Political Studies 61, no. 2 (August 10, 2012): 422–41. http://dx.doi.org/10.1111/j.1467-9248.2012.00963.x.

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41

BLANKENAU, WILLIAM, and GABRIELE CAMERA. "Public Spending on Education and the Incentives for Student Achievement." Economica 76, no. 303 (July 2009): 505–27. http://dx.doi.org/10.1111/j.1468-0335.2008.00687.x.

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42

Di Gioacchino, Debora, Laura Sabani, and Simone Tedeschi. "Individual preferences for public education spending: Does personal income matter?" Economic Modelling 82 (November 2019): 211–28. http://dx.doi.org/10.1016/j.econmod.2019.01.007.

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43

Li, Zhongda, Lu Liu, and Meijin Wang. "Intergenerational income mobility and public education spending: Evidence from China." Children and Youth Services Review 40 (May 2014): 89–97. http://dx.doi.org/10.1016/j.childyouth.2014.03.002.

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44

Akbar, Muhammad, Sabahat Subhan, and Haidar Farooqe. "The Impact of Public Spending on Poverty through the Channel of Social Infrastructure: An Empirical Analysis of Asian Economies." Global Economics Review V, no. IV (December 30, 2020): 12–23. http://dx.doi.org/10.31703/ger.2020(v-iv).02.

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This study empirically investigated the mediating role that education plays to channelize Public Spending towards Poverty alleviation in Asian economies. To capture the direct and indirect link between the main explained variable poverty and explanatory variable Public Spending, a relatively new methodology known as Moderated Mediation, has been adopted. For empirical analysis, Seemingly Unrelated Regression technique (SUR) was employed. Results revealed an inverse and significant relationship between Public Spending and Poverty in direct as well as indirect way. The direct impact of public spending on Poverty alleviation programs expressed a strong impact on poverty reduction. The indirect impact that public spending has on poverty through education found inverse and highly significant. The high rate of population growth, unemployment and high inflation cause poverty in sampled Asian economies. Suitable policies need to be adopted in order to cope with poverty in the aforementioned economies.

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Fardoush, Zannatul. "Impact of Public Spending on the Quality of Life in Rural Bangladesh." Advances in Social Sciences Research Journal 7, no. 4 (April 19, 2020): 47–61. http://dx.doi.org/10.14738/assrj.74.8067.

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Public spending is one of the most effective instruments in improving the quality of life as an entrenched goal of economic development. However, as the resources are limited, a better distribution would, therefore, require a thorough investigation regarding the impact analysis of public spending on actual development factors. This paper has examined the link between public expenditures in different sectors of economy and improvement in the quality of life through the channel of agricultural growth or rural development in Bangladesh and also throughs the education channel such as the school enrollments. A simultaneous equation model in the form of a 3-Stage Least Square (3SLS) technique has been used to explore the impacts of public spending. By using the data from 1982-2017, this study finds that public spending in education, health, social safety net, and agriculture has positive impacts on the quality of life advancement. A 1 percent increase in public spending in education would result in an increase in quality of life (proxied by life expectancy) by 0.182 percent on average, ceteris paribus. The public expenditure elasticities in health, social safety net, and agriculture on the quality of life are found as 0.05, 0.03, 0.04 respectively. The only concern is the spending in the transportation and communication sector which is probably due to the misallocation and mismanagement of available resources and funds into this sector. Hence, to grasp the agricultural and rural development, the government should continue to institutionalize the policies that support the education of the poor in rural areas.

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Iskandar, Azwar, and Rahmaluddin Saragih. "REGIONAL GOVERNMENT SPENDING EFFICIENCY ON HEALTH AND EDUCATION IN DECENTRALIZATION ERA : EVIDENCE FROM INDONESIA." INFO ARTHA 3, no. 1 (September 8, 2019): 13–27. http://dx.doi.org/10.31092/jia.v3i1.452.

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The purpose of this paper is to assess spending efficiency of regional governments in Indonesia on health and education during the fiscal decentralization period year of 2010-2017. Relying on a sample of 33 provinces as regional government, this paper compute efficiency scores adopting nonparametric frontier that estimated by Data Envelopment Analysis (DEA) to study spending inefficiency. Results of the paper show that in west regions, Bali, Bangka Belitung, DI Yogyakarta, Jawa Tengah, and Kep. Riau relatively most efficient in public spending both on health and education in period of study. DKI Jakarta and Jawa Barat have efficient score on health, and Bengkulu has efficient score on education. On the other hand, in east regions, Gorontalo, Kalimantan Tengah, Kalimantan Timur and Sulawesi Utara were also most efficient in public spending on health and education services. Maluku and Sulawesi Tenggara have efficient score on health, and Kalimantan Selatan, Maluku Utara, Nusa Tenggara Barat, and Sulawesi Barat have efficient score on education. The results show that provinces in east regions of Indonesia were relatively more efficient in public spending both on health and education for promoting equal distribution of income

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Chan, Sok-Gee, and Mohd Karim. "Public spending efficiency and political and economic factors: Evidence from selected East Asian countries." Ekonomski anali 57, no. 193 (2012): 7–23. http://dx.doi.org/10.2298/eka1293007c.

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This paper analyses public spending efficiency and the effect of political and economic factors on public spending efficiency in East Asian countries for the period 2000-2007. In the first stage, the non-parametric Data Envelopment Analysis (DEA) approach is used to estimate public spending efficiency scores. In the second stage, the Tobit regression model is then used to determine the effect of political and economic factors on public spending efficiency. Results of the study show that China is relatively efficient in public spending on education, health, and maintaining economic performance and stability, Japan on infrastructure, and Singapore on promoting public services. In addition, countries in East Asia are relatively less efficient in public spending for promoting equal income distribution. The results also indicate that political stability and financial freedom have a positive effect on public spending efficiency. However, voice, accountability, and civil liberties have a negative effect on public spending efficiency.

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Busemeyer, Marius R., Julian L. Garritzmann, Erik Neimanns, and Roula Nezi. "Investing in education in Europe: Evidence from a new survey of public opinion." Journal of European Social Policy 28, no. 1 (May 26, 2017): 34–54. http://dx.doi.org/10.1177/0958928717700562.

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Public opinion research has found that increasing the investment in education is generally very popular among citizens in Western Europe. However, this evidence from publicly available opinion surveys may be misleading, because these surveys do not force respondents to prioritize between different parts of the education system or between education and other social policies, nor do they provide information about citizens’ willingness to pay for additional investment in education. To address these deficiencies, we conducted an original, representative survey of public opinion on education and related policies in eight European countries. Our analysis confirms that citizens express high levels of support for education even when they are forced to choose between education and other areas of social spending. But not all educational sectors enjoy equally high levels of support: increasing spending on general schooling and vocational education is more popular than increasing spending on higher education and early childhood education. Furthermore, we find that citizens are, in fact, willing to pay additional taxes in order to finance investment in education, at least in some countries and for some sectors of the education system.

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Busemeyer, Marius R., and Lina Seitzl. "The partisan politics of early childhood education in the German Länder." Journal of Public Policy 38, no. 2 (February 6, 2017): 243–74. http://dx.doi.org/10.1017/s0143814x16000313.

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AbstractThis article analyses the role of partisan politics in the recent expansion of early childhood education and care in the German Länder. In contrast to recent work in comparative public policy that often diagnoses a waning of partisan effects, we find broad support for the notion that partisan differences continue to matter in this policy field. The government participation of left-wing parties is positively and significantly associated with changes in public spending on early childhood education, independent of whether this is measured as a percentage of gross domestic product or in terms of per-capita spending. In contrast, left-wing partisanship is not associated with changes in the share of public spending devoted to independent (private) institutions. Coalition status, particularly governing in a Grand Coalition, somewhat mediates these effects. Our empirical analysis is based on the findings from a cross-sectional time-series analysis based on an original data set of spending data for the 16 Länder for the time period between 1992 and 2010.

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Liu, Weilin, Jingdong Li, and Rong Zhao. "Rural Public Expenditure and Poverty Alleviation in China: A Spatial Econometric Analysis." Journal of Agricultural Science 12, no. 6 (May 15, 2020): 46. http://dx.doi.org/10.5539/jas.v12n6p46.

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In China, one of the most important reducing poverty means is continuous and large-scale public financial investment. This paper investigated the structural differences between rural public expenditure (namely, education, health, social security, infrastructure, living environment) and poverty in 27 provinces of China in 2010-2016 from the spatial econometric perspective. The results showed the structural differences in poverty reduction effects of government spending are very obvious, indicating that expenditures on education, health care, social security and infrastructure have all shown good poverty alleviation effects, while living environment spending has no significant effect on poverty reduction. We further find that government spending not only promote poverty reduction in the region, but also reduce poverty in economically and geographically similar areas, which suggests that future work should look more closely at whether and how the effect of government spending on poverty varies by structure. Thus, the findings established in this paper have significant implications for targeted poverty alleviation measures in China through government spending policies.

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