scholarly journals The Efficiency in Welfare Expenditure and Economic Growth

2011 ◽  
Vol 26 (3) ◽  
pp. 129-146
Author(s):  
Park Kyoung Don
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Environmental Factors ◽  
Social Welfare ◽  
Relative Efficiency ◽  
Optimal Growth ◽  
Welfare Regime ◽  
Welfare Spending ◽  
Welfare Expenditure

This paper analyzes the various arguments that support or oppose expansion in social welfare spending. A critical concern is the fear that as welfare expenditure increases, at some point, economic development will decrease. However, increased welfare investment is essential for achieving a welfare state to ensure the optimal growth of the economy and social welfare. OECD (Organisation for Economic Co-operation and Development) countries with a particular welfare regime that efficiently invests welfare spending are regarded as a reference for Korea. In consideration of the environmental factors in each nation, the relative efficiency Level of welfare spending is calculated with panel data. It is evident that Korea`s investment in social welfare from 2003 to 2007 was inefficient. One way to achieve an appropriate balance between social welfare and economic growth is to lessen the inefficiency of welfare investment.

PENGARUH PEMBANGUNAN INFRASTRUKTUR TERHADAP PDRB DI PROVINSI INDONESIA

Wahana ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 15-27
Author(s):  
Suripto Suripto ◽  
Eva Dwi Lestari
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Infrastructure Investment ◽  
Water Infrastructure ◽  
Infrastructure Development ◽  
Road Infrastructure ◽  
Health Infrastructure ◽  
Spatial Coverage ◽  
The Government

Economic growth is one indicator to measure  the success of economic development in a country. Economic development is closely related to infrastructure. Infrastructure development will have an impact on economic growth both directly and indirectly. Therefore, the role of the government in determining infrastructure development policies is very important to increase economic growth in Indonesia. The purpose of this study is to determine the effect of infrastructure on economic growth in Indonesia including road infrastructure, electricity infrastructure, investment, water infrastructure, education infrastructure and health infrastructure in Indonesia in 2015-2017.The analytical tool used in this study is panel data regression with the approach of Fixed Effect Model. The spatial coverage of this study is all provinces in Indonesia, namely 34 provinces, with a series of data from 2015 to 2017 with a total of 102 observations. The data used is secondary data obtained from BPS Indonesia.The results of the study show that (1) the road infrastructure variables have a negative and not significant effect on GDRP. (2) electrical infrastructure variables have a negative and not significant effect on GDRP. (3) investment variables have a positive and significant effect on GDRP. (4) water infrastructure variables have a positive and not significant effect on GDRP. (5) educational infrastructure variables have a positive and not significant effect on GDRP. (6) health infrastructure variables have a positive and significant effect on GDRP. Keywords: development, infrastructure, investment, GDRP, panel data

scholarly journals Do Carbon Emissions and Economic Growth Decouple in China? An Empirical Analysis Based on Provincial Panel Data

Energies ◽  
2019 ◽  
Vol 12 (12) ◽  
pp. 2411 ◽  
Author(s):  
Yu Hao ◽  
Zirui Huang ◽  
Haitao Wu
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Carbon Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Ekc Hypothesis ◽  
Capita Gross Domestic Product ◽  
Level Of Economic Development ◽  
The Relationship

Global warming has emerged as a serious threat to humans and sustainable development. China is under increasing pressure to curb its carbon emissions as the world’s largest emitter of carbon dioxide. By combining the Tapio decoupling model and the environmental Kuznets curve (EKC) framework, this paper explores the relationship between China’s carbon emissions and economic growth. Based on panel data of 29 provinces from 2007 to 2016, this paper quantitatively estimates the nexus of carbon emissions and economic development for the whole nation and the decoupling status of individual provinces. There is empirical evidence for the conventional EKC hypothesis, showing that the relationship between carbon emissions and per capita gross domestic product (GDP) is an inverted U shape and that the inflection point will not be attained soon. Moreover, following the estimation results of the Tapio decoupling model, there were significant differences between individual provinces in decoupling status. As a result, differentiated and targeted environmental regulations and policies regarding energy consumption and carbon emissions should be reasonably formulated for different provinces and regions based on the corresponding level of economic development and decoupling status.

scholarly journals Institutional models of public order as a factor of economic development and national welfare

2021 ◽  
Vol 2021 (54) ◽  
pp. 93-117
Author(s):  
Viktoriia Nebrat ◽  
◽  
Keyword(s):  
Economic Growth ◽  
Economic Policy ◽  
Economic Development ◽  
Social Welfare ◽  
Legal Protection ◽  
Public Welfare ◽  
Public Order ◽  
National Welfare ◽  
The One ◽  
Access Model

The relevant scientific problems include characterizing different models of public order in the context of divergence of economic development; deepening the understanding of public welfare as a measure to meet the needs and results of public policy; assessment of the cognitive and practical potential of modern concepts of historical and institutional explanation of the differentiation of the world economy for the optimization of regulatory measures of economic policy in Ukraine. The purpose of this article is to determine the features of the relationship between the nature of institutions, in particular institutional models of public order, on the one hand, and economic development and social welfare on the other. The research methodology combines the tools of evolutionary economic theory, comparative analysis and institutional history. The theoretical basis is the idea of D. North on the types of institutional models of public order. Despite the historical and national features of the formation and functioning of different economic systems, their success and failure can be explained on the basis of typology of North's models. The open access model is more conducive to economic growth and social welfare. Ensuring the institutional conditions for the realization of human rights, economic freedom and legal protection contributes to higher results. Instead, the restricted access model is characterized by slow economic growth and vulnerability to challenges, low level of social consolidation and economic solidarity, dominance of hierarchical ties and insecurity of property rights. It has been proven that institutional changes aimed at increasing public welfare should ensure the transformation of the economic model towards greater availability of resources and opportunities, replacing extractive relations and vertical relations with partnerships and horizontal relations. Economic policy analysis and evaluation is an important component of successful institutional transformations.

scholarly journals HUBUNGAN ANTARA KORUPSI DENGAN PERKEMBANGAN PASAR SAHAM DAN PERBANKAN: KAJIAN EMPIRIS PADA SEMBILAN NEGARA DIKAWASAN ASEAN+3

2017 ◽  
Vol 15 (1) ◽  
pp. 1
Author(s):  
Muhammad Fazri ◽  
Hermanto Siregar ◽  
Heni Hasanah
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Stock Market ◽  
Financial Institutions ◽  
Development Process ◽  
Institutional Influences ◽  
Banking Development ◽  
Macroeconomic Stability

Banking and stock market are two financial institutions which play an important role in the economic development process. Many studies suggest that the development of banking and stock market are able to increase the economic growth. There are factors which influence the development of these two financial institutions, for example macroeconomic stability and institutional influences such as corruption. This study aims to analyze how corruption affects the development of banking and stock market and also tries to identify the role of development of banking to reduce corruption. This study uses panel data for nine countries of ASEAN +3 region, during 2003-2012. The result shows that corruption hinders the development of banking and stock market. In addition, banking development will reduce corruption.

scholarly journals HUBUNGAN KAUSALITAS KEMISKINAN, TINGKAT PENGANGGURAN, DAN PERTUMBUHAN EKONOMI DI PROVINSI SULAWESI SELATAN

2020 ◽  
Vol 16 (1) ◽  
pp. 13-23
Author(s):  
Akhmad Akhmad
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Causal Relationship ◽  
Vector Autoregression ◽  
Short Term ◽  
South Sulawesi ◽  
Long Run ◽  
Short And Long Term

Economic development basically aims to increase economic growth, reduce poverty and unemployment. Therefore the research aims to find out the causal relationship between economic growth, unemployment and poverty in the Southern Province. This research used panel data of 24 districts / cities in South Sulawesi Province during 2007 to 2018, which was obtained from the Central Statistics Agency. Data were then analyzed using Vector Autoregression analysis. The results showed that shocks to economic growth have an impact on reducing unemployment and poverty rates both short and long term. Meanwhile shocks to unemployment, have an impact on increasing poverty rates in the short and long term, and have an impact on declining economic growth in the short term, but slowly economic growth returns to the balance point. Furthermore, the shock to poverty also has an impact on increasing unemployment in the short term, but slowly leads to a point of convergence in the long run. It is better to make economic growth decrease in the short term, but slowly towards the point of balance in the long run.

scholarly journals The Effect of Carbon Sink Plantation Projects on Local Economic Growth: An Empirical Analysis of County-Level Panel Data from Guangdong Province

2021 ◽  
Vol 13 (24) ◽  
pp. 13864
Author(s):  
Juan Wu ◽  
Fangmiao Hou ◽  
Wenjing Yu
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Carbon Sink ◽  
Causal Effect ◽  
Guangdong Province ◽  
Ordinary Least Squares ◽  
Economic Benefits ◽  
County Level ◽  
Difference In Differences

In recent years, there has been an increased focus on carbon sink plantation projects. Carbon sink plantations can slow global climate change and promote sustainable economic development, which is well suited to the needs of both ecological protection and economic growth. This article aims to accurately assess the causal effect of carbon sink plantation projects on economic development at the county level and explore its effect mechanisms. In this study, 56 counties in Guangdong Province were selected as the research areas, providing balanced panel data from 2006 to 2018. Then the propensity score matching and difference-in-differences (PSM-DID) model was used to estimate both the average and dynamic effects of carbon sink plantation projects on county-level economic development. The ordinary least squares (OLS) multiple regression results of the single-difference method and difference-in-differences (DID) model show that carbon sink plantation projects have a significant role in promoting county-level economic development. In addition, our findings suggest that the economic benefits of carbon sink plantation projects began to gradually appear from the sixth year after the projects were implemented.

Study on the Non-linear Effect of Tourism Industry Agglomeration on Economic Growth in China——Based on Inter-provincial Panel Data

2021 ◽  
Vol 7 (6) ◽  
pp. 6213-6221
Author(s):  
Lin Li
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Threshold Value ◽  
Tourism Industry ◽  
Linear Effect ◽  
Industry Agglomeration ◽  
Non Linear Effect ◽  
Non Linear ◽  
Level Of Economic Development

Objectives: There are few studies on the non-linear effect of tourism industry agglomeration on economic growth. Based on this, this paper uses the panel data of provinces in 2007-2017 to analyze the spatial characteristics of China's tourism industry agglomeration, and uses the threshold regression model to analyze the role of China's tourism industry agglomeration in promoting economic growth. The results show that: China's tourism industry shows obvious characteristics of spatial agglomeration. The provinces with high degree of industrial agglomeration are mainly Beijing, Shanghai, Yunnan, Guangdong, Guizhou, Sichuan and Shanxi; The non-linear effect of China's tourism industry agglomeration on economic growth is significant. When the level of economic development is less than the threshold value of 10.552, tourism industry agglomeration promotes economic growth. When the level of economic development is greater than the threshold value of 10.552, the impact of tourism industry agglomeration on economic growth is negative. Williamson hypothesis of China's tourism industry agglomeration is established.

PENGARUH PEMBANGUNAN INFRASTRUKTUR TERHADAP PDRB DI PROVINSI INDONESIA

Wahana ◽  
2019 ◽  
Vol 22 (1) ◽  
pp. 15-27
Author(s):  
Suripto Suripto ◽  
Eva Dwi Lestari
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Panel Data ◽  
Infrastructure Investment ◽  
Water Infrastructure ◽  
Infrastructure Development ◽  
Road Infrastructure ◽  
Health Infrastructure ◽  
Spatial Coverage ◽  
The Government

Economic growth is one indicator to measure  the success of economic development in a country. Economic development is closely related to infrastructure. Infrastructure development will have an impact on economic growth both directly and indirectly. Therefore, the role of the government in determining infrastructure development policies is very important to increase economic growth in Indonesia. The purpose of this study is to determine the effect of infrastructure on economic growth in Indonesia including road infrastructure, electricity infrastructure, investment, water infrastructure, education infrastructure and health infrastructure in Indonesia in 2015-2017.The analytical tool used in this study is panel data regression with the approach of Fixed Effect Model. The spatial coverage of this study is all provinces in Indonesia, namely 34 provinces, with a series of data from 2015 to 2017 with a total of 102 observations. The data used is secondary data obtained from BPS Indonesia.The results of the study show that (1) the road infrastructure variables have a negative and not significant effect on GDRP. (2) electrical infrastructure variables have a negative and not significant effect on GDRP. (3) investment variables have a positive and significant effect on GDRP. (4) water infrastructure variables have a positive and not significant effect on GDRP. (5) educational infrastructure variables have a positive and not significant effect on GDRP. (6) health infrastructure variables have a positive and significant effect on GDRP. Keywords: development, infrastructure, investment, GDRP, panel data

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