scholarly journals Estimation Curve Semiparametric Regression with the Spline Linear Approach to Poverty Data in Bali Province

Author(s):  
I Wayan Sudiarsa

In semiparametric regression, nonparametric components can be approached by spline. Splines are pieces of polynomial that are segmented and continuous. The one advantages of spline is the presence of knot points that indicate changes in the pattern of data behavior. This research purposetoobtain semiparametric regression curve estimation with linear spline approach. The method of optimization approach used by ordinary least square (OLS). Based on this research, there are two variables that have a significant effect on the percentage of poor people in Bali Province, namely the Open Unemployment the rate of economic growth. The total variance of response that can be explained by predictor in this model is 67.97% with MSE of 9.7854.  

2020 ◽  
Vol 13 (1) ◽  
pp. 180
Author(s):  
Montassar Kahia ◽  
Anis Omri ◽  
Bilel Jarraya

This study extends previous environmental sustainability literature by investigating the joint impact of economic growth and renewable energy on reducing CO2 emissions in Saudi Arabia over the period 1990–2016. Using the fully modified ordinary least-square (FMOLS) and dynamic ordinary least-square DOLS estimators, we find that economic growth increases CO2 emissions in all estimated models. Moreover, the validity of the environmental Kuznets curve (EKC) hypothesis is only supported for CO2 emissions from liquid fuel consumption. The invalidity of the EKC hypothesis in the most commonly used models implies that economic growth alone is not sufficient to enhance environmental quality. Renewable energy is found to have a weak influence on reducing the indicators of environmental degradation. We also find that the joint impact of renewable energy consumption and economic growth on the indicators of CO2 emissions is negative and insignificant for all the estimated models, meaning that the level of renewable energy consumption in Saudi Arabia is not sufficient to moderate the negative effect of economic growth on environmental quality. Implications for policy are also discussed.


Author(s):  
Tomiwa Sunday Adebayo ◽  
Abraham Ayobamiji Awosusi ◽  
Seun Damola Oladipupo ◽  
Ephraim Bonah Agyekum ◽  
Arunkumar Jayakumar ◽  
...  

Despite the drive for increased environmental protection and the achievement of the Sustainable Development Goals (SDGs), coal, oil, and natural gas use continues to dominate Japan’s energy mix. In light of this issue, this research assessed the position of natural gas, oil, and coal energy use in Japan’s environmental mitigation efforts from the perspective of sustainable development with respect to economic growth between 1965 and 2019. In this regard, the study employs Bayer and Hanck cointegration, fully modified Ordinary Least Square (FMOLS), and dynamic ordinary least square (DOLS) to investigate these interconnections. The empirical findings from this study revealed that the utilization of natural gas, oil, and coal energy reduces the sustainability of the environment with oil consumption having the most significant impact. Furthermore, the study validates the environmental Kuznets curve (EKC) hypothesis in Japan. The outcomes of the Gradual shift causality showed that CO2 emissions can predict economic growth, while oil, coal, and energy consumption can predict CO2 emissions in Japan. Given Japan’s ongoing energy crisis, this innovative analysis provides valuable policy insights to stakeholders and authorities in the nation’s energy sector.


Author(s):  
Muhammad Imran Nazir ◽  
Rehana Tabassam ◽  
Ifran Khan ◽  
Muhammad Rizwan Nazir

This study investigates the causal relationship between banking sector development, inflation, and economic growth for six Asian countries (Bangladesh, China, India, Malaysia, Pakistan and Sri Lanka) over the period of 1970-2016. Using a Pedroni panel, Kao co-integration test, Panel Granger causality-based Error Correction Model, Dynamic ordinary least square (DOLS), and Fully modified ordinary least square (FMOLS), this study finds that the development of the banking sector generally has a positive relationship with economic growth in the long-run. This results show that in the long-run, monetary policy play a vital role in the economic growth. This study also confirmed the response causality between the indicators of banking sector development and economic growth. Based on the empirical findings, this research provides important policy implications to the banking sector and economic supervisory bodies in order to achieve the long run economic growth.


Author(s):  
Muhammad Usman

The goal of this study is to explore the impact of high tech exports on economic growth of Pakistan. To examine this relationship, data are collected from World Bank database, State Bank of Pakistan data source and Statistical Bureau of Pakistan. Time span of study is consisting of 20 years from 1995 to 2014. By using ordinary least square (OLS) with robust standard error, results confirm that there is a positive and statistically significant impact of high tech exports on economic growth. Although Pakistan is an agriculture country and its economic growth is largely depend upon farming, but for long run economic growth, Pakistan has to increase its high tech exports.


SOROT ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 87
Author(s):  
Miftakul Khoiri ◽  
Syapsan Syapsan ◽  
Sri Endang Kornita

Terdapat beberapa permasalahan yang berbeda pada sumber daya di setiap daerah, yaitu investasi, tenaga kerja dan teknologi sebagai faktor pembentuk output perekonomian daerah. Penelitian ini menganalisis hubungan antara investasi dalam bentuk Penanaman Modal Asing (PMA), Penanaman Modal Dalam Negeri (PMDN), belanja modal pemerintah, angkatan kerja dan ekspor dengan pertumbuhan ekonomi. Tujuan penelitian adalah melihat pengaruh besarnya faktor-faktor tersebut terhadap Pertumbuhan ekonomi di Provinsi Riau 2000-2018. Untuk kepentingan khusus penelitian dengan tujuan melihat pengaruh krisis keuangan global tahun 2008 terhadap pertumbuhan ekonomi maka dimasukkan variabel dummy krisis keuangan. Penelitian ini adalah penelitian kuantitatif dengan metode regresi berganda log-log linier dan data time series. Model diestimasi dengan metode Ordinary Least Square (OLS). Hasil penelitian menunjukkan bahwa PMA, PMDN, angkatan kerja dan ekspor signifikan positif mempengaruhi pertumbuhan ekonomi yang diukur dengan nilai Produk Domestik Regional Bruto (PDRB). Begitu juga dengan dummy krisis keuangan global meskipun berlangsung singkat ternyata berpengaruh terhadap PDRB di Provinsi Riau. Namun demikian ditemukan bahwa belanja modal pemerintah tidak signifikan mempengaruhi pertumbuhan PDRB.There are some problems in resources of the regions, namely investment, labour force, and technology as the component factors to make the output of the region’s economy. This study aims to analyze the relationship between investment as consist of foreign direct investment (FDI), private investment, government capital expenditure, labour force, export and economic growth to the gross regional domestic product growth of regency in Riau Province 2000-2018. For the specific purpose of describing global financial crises in 2008 influence the economic growth, we put the dummy variable of the financial crisis in the model. This research is quantitative descriptive with the multiple regression model of log-linear and time series method using Ordinary Least Square (OLS). The study shows that government capital expenditure is statistically not significant to affect the gross regional domestic product growth. FDI, private investment, labour force and export is statistically significant to affect the gross regional domestic product growth. As well as a dummy of the global financial crisis is statistically significant to affect the gross regional domestic product growth.


Jurnal Ecogen ◽  
2019 ◽  
Vol 1 (3) ◽  
pp. 539
Author(s):  
Surya Irmayani ◽  
Zul Azhar ◽  
Melti Roza Adry

This purpose of the research  are to the analyse the Economic Growth, Education Participation Rate, Urban Population, Population Density, Number of Rainfall in terms of Damage Natural Disasters in Indonesia. This type of research is associative descriptive research. This study is based on data 2015 obtained from institutions and related institution. Methods that being used are Ordinary Least Square (OLS). The estimation results show that Economic Growth has a significant negative effect the Damage Natural Disasters in Indonesia, Education Participation Rate has a not significant effect the Damage Natural Disasters in Indonesia, Urban Population has a significant positive effect the Damage Natural Disasters in Indonesia, Population Density has a not significant effect the Damage Natural Disasters in Indonesia, Number of rainfall has a not significant effect the Damage Natural Disasters in Indonesia. Keywords: Economic Growth, Education Participation Rate, Urban Population, Population Density, Number of Rainfall


Author(s):  
Friday Osaru Ovenseri Ogbomo ◽  
Precious Imuwahen Ajoonu

This paper examined the impact of Exchange Rate Management on economic growth in Nigeria between 1980 and 2015. The study was set to gauge how the management of exchange rate in Nigeria has impacted the economy. The study employed the Ordinary Least Square (OLS) method in its analysis. Co-integration and Error Correction Techniques were used to establish the Short-run and Long-run relationships between economic growth and other relevant economic indicators. The result revealed that exchange rate management proxy by various exchange rates regimes in Nigeria was not germane to economic growth. Rather, government expenditure, inflation rate, money supply and foreign direct investment significantly impact on economic growth in Nigeria. It is against this backdrop that the Nigerian economy must diversify her export base to create room for more inflow of foreign exchange.  


2019 ◽  
Vol 4 (1) ◽  
pp. 44-46
Author(s):  
Wilson Bangun

Economic growth as a mesurement and reflect of the people prosperity. Employee production factor have a better contribution if  to compare with capital and technology production factors on Indonesian economic growth. However, Indonesian workforce quality is lowest in ASEAN-5. The research methodology is using the Cobb-Douglas production function with the Ordinary Least Square (OLS), the using equation formulation: lnY = ln a + bi  +e. This research using data is secondary data: production factors using data of progressing of FDI and domestic investment, source of  the World Bank, 2004-2016; Employment is using data of progressing of Indonesia workforce,  sourced from the Biro Pusat Statistik Republik Indonesia, 2004-2016. The research results show that influence of the production factors toward Indonesia economic growth is strongly. This researchs aim to knowledge a large the contribution of production factors on Indonesian Economic growth.


2020 ◽  
Author(s):  
Mehdi Seraj ◽  
Cagay Coskuner ◽  
Seyi Saint Akadiri ◽  
Negar Bahadori

Abstract This study revisited Dani Rodrik (2008) work on real exchange rate undervaluation and economic growth by using the Fully Modified Ordinary Least Square (FMOLS) and Dynamic Ordinary Least Square (DOLS). This research, to the best of authors' knowledge, is the first to use FMOLS and DOLS approach to empirically evaluate Rodrik work on the real exchange rate and economic growth using a Panel periodic data (six sets of five years) of 82 countries throughout 1990 to 2018. We used the Balassa Samuelson method to estimate the predicted real exchange rate and real exchange rate undervaluation. Finally, the study is in support of Rodrik conclusion that, real exchange undervaluation has a significant impact on the economic growth of the developing economies and statistically insignificant in the developed economies.


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