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.

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

The Impact of Population Aging on Economic Growth: Panel Data Evidence from Middle East Countries

2021 ◽  
pp. 67-86
Author(s):  
Abdullah Abdulaziz Bawazir ◽  
Mohamed Aslam ◽  
Ahmad Farid Osman
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Middle East ◽  
Fixed Effects ◽  
Population Aging ◽  
Developed Countries ◽  
Ordinary Least Squares ◽  
Dependency Ratio ◽  
Middle East Countries ◽  
The Developed Countries

This study examines the relationship between population aging and economic growth in a panel of 10 selected Middle East countries for the period of 1996–2016. For this purpose, this study uses two different measures of population aging, namely population aged 65 and over and old dependency ratio, to investigate their impacts on economic growth. The study utilizes the three alternative models of static panel data comprised of the pooled ordinary least squares, random effects, and fixed effects. The results of the robust fixed effects model indicate that the population aged 65 and over and the old dependency ratio have a positive effect on economic growth. The finding supports the argument indicating that an aging population does not necessarily adversely affect economic growth in the developing countries as it does in the developed countries. Therefore, the elderly population is not a matter of concern for the Middle East and the mechanisms through which the effect can take place are savings behavior and human capital accumulation of the individuals.

scholarly journals ODA and Provincial Economic Growth in Vietnam

2019 ◽  
Vol 6 (1) ◽  
pp. 1
Author(s):  
Dang Ngoc Duc ◽  
Do Thi Ngoc Lan
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Empirical Evidence ◽  
Case Studies ◽  
Causal Relationship ◽  
Granger Causality ◽  
Focal Point ◽  
Causal Effect ◽  
Granger Causality Test ◽  
Causality Test

The focal point of this paper is focused on assessing the causal relationship between ODA and economic growth in the localities of Vietnam. This research uses panel data of ODA and GDP from 63 provinces of Vietnam by using Granger Causality test. The results showed that ODA has a causal effect on economic growth (GDP) and vice versa, economic growth decides to attract ODA in provinces in Vietnam. This result complements studies on the causal relationship between ODA and economic growth using new empirical evidence through case studies in the provinces of Vietnam.

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 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.

scholarly journals The Determinants of Economic Growth in CEMAC through a Panel Data Approach

2016 ◽  
Vol 4 (2) ◽  
pp. 483
Author(s):  
Nzingoula Gildas Crepin
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Good Governance ◽  
Generalized Method Of Moments ◽  
Central Africa ◽  
Ordinary Least Squares ◽  
Fixed Effects Model ◽  
Main Determinants ◽  
Determinants Of Economic Growth

<div><p><em>This article highlights through a panel data approach the determinants of economic growth; observed over the last decade in the Economic and Monetary Community of Central Africa (CEMAC) and necessary to reach emerging economies stage. To do this, we essentially used Stata 12 software to come up with the results, and a panel data sample comprising six CEMAC member states, namely Congo, Cameroon, Gabon, Equatorial Guinea, Central African Republic and Chad, for the period ranging from 2000 to 2013. The results obtained after estimating ordinary least squares, fixed effects model, random effects model, generalized method of moments (GMM) and specification tests show that the best model to estimate these types of data is the fixed effects model. Besides, the main determinants of economic growth in CEMAC over that period are Foreign Direct Investment (FDI) and loans lending to the economy (LOAN). After estimation, FDI is found positive and significant on economic growth, while LOAN is significant and found negative maybe due to lack of good governance.</em></p></div>

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 Impact of Demographic Variables on Economic Growth in South Asian Countries: A Panel Data Analysis

2021 ◽  
Vol 3 (1) ◽  
pp. 49-58
Author(s):  
Nisar Ahmad ◽  
Sara Nayyab
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Life Expectancy ◽  
South Asian ◽  
Total Fertility Rate ◽  
Ordinary Least Squares ◽  
Demographic Variables ◽  
Fertility Rate ◽  
Asian Countries ◽  
The Impact

This study find the impact of demographic variables on economic growth in selected South Asian countries; Pakistan, India, Bangladesh and Sri-Lanka using panel data from 1976 to 2017. Fertility rate and life expectancy are used as demographic variables and GDP is used to indicate the economic growth. Panel unit root tests including Levin-Lin & Chu, Im-Pesaran & Shin, ADF-Fisher χ2, PP-Fisher χ2 are applied to check the stationary of variables. Pedroni and Kao Panel Co-integration are employed to test the co-integration among variables. Fully Modified Ordinary Least Squares (FMOLS) estimators are obtained for long run relationship. Results show that total fertility rate and life expectancy have significant impact on economic growth in these four South Asian countries. For example, one unit increase in total fertility rate depresses the economic growth by 0.106 units. However, economic growth is accelerated by 0.196 units due to one year increase in life expectancy.

Clustering, growth and inequality in China

2020 ◽  
Vol 20 (5) ◽  
pp. 1207-1239
Author(s):  
Di Guo ◽  
Kun Jiang ◽  
Chenggang Xu ◽  
Xiyi Yang
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Income Inequality ◽  
Instrumental Variables ◽  
Industrial Clusters ◽  
Regional Economic Growth ◽  
County Level ◽  
Cluster Development ◽  
Rural Income ◽  
Urban Rural

Abstract This study examines the effects of China’s industrial clusters on regional economic growth and urban–rural income inequality within a region. A density-based index (DBI) is developed to capture the unique features of cluster development in China. From a county-level DBI panel data constructed based on firm- and county-level datasets, we find that clusters enhance local economic growth substantially. Moreover, the existence of entrepreneurial clusters (clusters mainly consist of nonstate-owned firms) helps to reduce local urban–rural income inequality by increasing the income of local rural residents. We also find that the clustering effects on growth and reduction of inequality are less significant in more urbanized regions or megacities. Identification issues are carefully addressed by deploying two-stage estimations with instrumental variables and Granger test.

scholarly journals Does High-Speed Rail Opening Affect the Health Care Environment?–Evidence From China

2021 ◽  
Vol 9 ◽  
Author(s):  
Cai-Xia Song ◽  
Cui-Xia Qiao ◽  
Jing Luo
Keyword(s):  
Health Care ◽  
Economic Development ◽  
Panel Data ◽  
High Speed ◽  
Health Care Environment ◽  
Difference In Differences ◽  
High Speed Rail ◽  
Care Environment ◽  
Healthcare Environment ◽  
Different Levels

Using the panel data of 280 prefecture-level cities in China from 2004 to 2014, this paper examines the effects of high-speed rail opening on health care environment based on Difference-in-Differences method (DID). Through an empirical analysis, the results proved that high-speed rail opening can significantly promote the health care environment and this effect is different in regions with different levels of economic development. Finally, we tested the mechanisms of how the high-speed rail opening affects the healthcare environment. High-speed rail opening improves the healthcare environment by increasing road accessibility and promoting economic development. Our results support the view that high-speed rail opening has an important contribution to the improvement of health care conditions.

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