The Effect of CO2 Emissions, Energy Consumption, Coal Consumption on Gross Domestic Product per Capita in Indonesia

<p>Energy consumption in driving the industrialization of the economy in its development must be accompanied by regulatory policies that support so that this energy can be used efficiently. This study aims to determine the effect of CO2 emissions, energy consumption, and coal use on per capita economic growth in Indonesia. Secondary data used are time series sourced from the World Bank, the Central Bureau of Statistics, and related agencies during the period 1985 to 2019. The analytical tool used in this study is multiple linear regression based on Ordinary Least Square (OLS) along with statistical tests and Classical Assumption Test. The estimation results conducted show that the CO2 emission variable has a significant effect and has a positive relationship to Gross Domestic Product (GDP) per capita in Indonesia and the variables of coal consumption and energy consumption have a negative correlation to GDP per capita and seen from the probability value of the variable coal consumption statistically does not have a significant effect on GDP per capita in Indonesia.</p>

The Influence of Internal and External Factors on NPF And NPL

<p><em>Indonesia has two types of bank, islamic banking and conventional banking. In their activities, banks are often facing any risks, named financing risk (NPF) in the islamic banking and credit risk (NPL) in the conventional banking. Based on data by OJK, the value of NPF is always higher than NPL. However, in January-August 2020 the NPF tended to decrease while the NPL tended to increase, even indicating a movement that would excited the NPF value. Therefore, it's necessary to the research of the factors that influence both NPF and NPL, including the internal and external conditions of the bank. The data that used as reference is the secondary data from OJK of 10 both islamic and conventional commercial banks from the first quarter of 2019 to the third quarter of 2020. Furthermore, the data is analyzed with panel model fixed effect data analysis with the robust standard error estimation method and panels corrected standard error (PCSE cross-sectional SUR). By using 5% of significance level, this research results that NPF is only significantly and positively influenced by FDR. However, NPL is significantly and negatively affected by the inflation and ROA, also significantly and positively influenced by CAR, LDR, and BOPO.</em></p>

Effect of Water Quality, Environmental Quality on Economic Growth in South Sumatra Province 2013-2017

<p align="justify">Environmental problems are currently the most common problems in the Indonesian environment. This environmental problem can be caused by the characteristics of humans as economic beings from several things, ranging from natural factors or factors from humans themselves. Most of these problems sometimes do not have a solution to solve them. So that it causes natural and environmental damage to continue. This study aims to determinethe influence of development on water quality, air quality on economic growth in South Sumatra Province.Secondary data used is time series sourced from the Central Bureau of Statistics, IKPLHD and related agencies during the period 2013 to 2017. The analytical tool used in this study is multiple linear regression based on Ordinary Least Square (OLS) along with statistical tests and tests. Classic Assumptions. The estimation results conducted show that the variables of air quality and water quality have a significant influence and have a positive relationship to per capita economic growth in South Sumatra.</p>

The Effect of Industrial Sector and Transportation Sector on CO2 Emissions In Indonesia

<p><em>Environmental quality is an important aspect of life.</em><em> </em><em>This study aims to analyze the effect of industrial sector GDP and transportation sector GDP on environmental quality in terms of carbon dioxide emissions in Indonesia.</em><em> </em><em>This analysis uses multiple linear regression models with the Ordinary Least Square (OLS) method.</em><em> </em><em>The results of the analysis show that the GDP of the Industrial Sector has no significant effect on CO2 emissions, while Transportation GDP has a significant and positive effect on CO2 emissions, this is supported by the Environmental Kuznet Curve (EKC) theory.</em><em></em></p><p><strong><em> </em></strong></p><p><strong><em>Keywords</em></strong><em> : carbondioxyde emission, GDP of industry sector, GDP of transportation sector </em></p>

Internet Usage and Ideal Number of Children in Indonesia (The Analysis of The 2017 IDHS)

<p>Internet usage in Indonesia is growing rapidly each year. Information on the internet is considered to affect the way of thinking and the behaviour of its users. This can be seen, among other things, on the women internet user’s desired or ideal number of children. This research aims to study the patterns and differentials of the ideal number of children among women in Indonesia according to internet usage and the effect of the use of internet on women’s ideal number of children in Indonesia after controlling for the effects of socio-economic factors. This study used data from the results of 2017 Indonesia Demographic and Health Survey (DHS). The method used to analyze the data is multinomial logistic regression. The analysis is conducted on all childbearing-aged women (15-49 years old) and married childbearing-aged women. The results of the study show that childbearing-aged women who used the internet wanted less children compared to those who did not use the internet. The results of this study can be used as a reference by the related stakeholders to formulate policies that support fertility level management in Indonesia using information and communication technology, the internet in particular.</p>

Analysis of Competitiveness and Determinant of Seaweed Export Value (Hs 121221) Indonesia to Export Destination in 2012-2018 Period

<p align="justify">The study was examined of Indonesian export of seaweed commodity (HS 121221) in 13 main export destination country (China, Korea, Vietnam, Chilli, Hong Kong, France, Spain, the Philippines, Denmark, Japan, Malaysia, Tunisia, and the United States) by using method of RCA (Revealed Comparative Advantage) index and EPD (Export Product Dynamics) index, and factors affecting the export of Indonesian seaweed to the main export destinations for 2012-2018. The Panel data regression method with a fixed-effect model is used to analyze the export model from the demand and supply side. The results showed that within 7 years period (2012-2018), RCA (Revealed Comparative Advantage), trade openness, and GDP had a positive and significant effect while LCU (Local Currency Unit), Consumer Price Index (CPI), and seaweed prices international influence negatively and significantly.</p>

The Dynamics of The Rupiah Exchange Rate in 2017-2020

<p align="justify">The exchange rate is one of the most important indicators in the economy. Moreover, with the increasing intensity of trade between countries, commonly referred to as international trade, this economic indicator becomes important for every country, including Indonesia. The change in the Indonesian exchange rate system to a free-floating system has made the exchange rate fluctuations more dynamic. The fluctuations are influenced by various factors, both internal and external. This study aims to determine the effect of the money supply (M₂), foreign exchange reserves, SBI interest rates and world crude oil prices on the rupiah/dollar exchange rate in 2017-2020 both in the short run and in the long run. The data used is monthly time series data from 2017-2020. The analytical method used in this study is the Error Correction Model (ECM). The results in this study indicate that in the short run and long run the money supply and foreign exchange reserves variables have a significant effect on the rupiah exchange rate in 2017-2020.</p>

Analysis of Palm Oil Price in Southeast Asia

<p align="justify">This study aimed to analyze some factors influencing fluctuations of palm oil (CPO) prices in 3 (three) countries in Southeast Asia. This study analyzes the factors that influence domestic CPO prices from the supply and demand side. International CPO prices, coconut oil prices, and CPO consumption are factors that influence domestic CPO price fluctuations from the demand side, while CPO production is a factor affecting domestic CPO price fluctuations from the supply side. This study uses a quantitative method, where the type of data used in this study is panel data taken from 3 countries, namely Indonesia, Malaysia, and Thailand from 1998-2019. The data were analyzed using multiple linear regression, where the variables used included domestic CPO prices, international CPO prices, coconut oil prices, CPO production, and CPO consumption as independent variables. This study shows that all the independent variables significantly affect the domestic CPO price variable, except for the CPO consumption variable, and all the independent variables have a positive effect on the domestic CPO price variable, except for the CPO production variable. The international CPO price variable is the most dominant in influencing domestic CPO price fluctuations<em>.</em></p>

Determinants of Fiscal Stress in Central Sulawesi 2014-2018 Period

<p align="justify">This study aims to analyze the effect the Local-owned Source Revenue, Regional Expenditure and Gross Regional Domestic Product on Fiscal Stress in Regencies/Cities of Central Sulawesi Province Period 2014 – 2018. Data analysis was using panel data regression method. The results of this study indicated that simultaneously variable Local-owned Source Revenue (PAD), Regional Expenditure (BD), and Gross Regional Domestic Product (PDRB) had a significant effect on Fiscal Stress in Regencies/Cities of Central Sulawesi Province for 2014 – 2018 period.<strong> </strong>Partially, Local-owned Source Revenue variable (PAD) had reduced and significantly decreased Fiscal Stress in the Regency/Cities of Central Sulawesi Province period 2014-2018. Regional expenditure variable (BD) had increase and significantly affected Fiscal Stress in Regencies/ Cities of Central Sulawesi Province Period 2014 – 2018. While Gross Regional Domestic Product (PDRB) variable had increase and was insignificant to Fiscal Stress in Regencies/Cities of Central Sulawesi Province 2014 – 2018 period.</p>