Badan Pusat Statistik.īadan Pusat Statistik.
The Pakistan Development Review, 46(4), 645-655.īadan Pusat Statistik. Environmental effects of trade liberalisation: a case study of Pakistan.
BADAN PUSAT STATISTIK INDONESIA FREE
Is free trade good for the environment? The American Economic Review, 91(4), 877-908.Īzhar, U., Khalil, S., & Ahmed, H. Keywords: Economic Integration, AFTA, environmental quality, Environmental Kuznets CurveĪntweiler, W., Copeland, B. The result suggests that AFTA does not affect the environmental quality in Indonesia. Two independent variables, namely: number of population and economy opennes, other than Indonesia’s GDP per capita. An Ordinary Least Square (OLS) regression analysis is employed, and CO 2 emission as environmental quality indicator is used as dependent variable (it was planned that this study also used forest cover, and SO 2 emission, as dependent variables but data limitation problem on those variables has withdrawn the plan). This study aims to investigate the effect of AFTA on environmental quality in Indonesia, through investigating Environmental Kuznets Curve (EKC). Indonesia is the member of several economic integrations, including AFTA. Economic intergration is believed to increase economic activity in the country, and if Environmental Kuznets Curve (EKC) hypothesis is confirmed, increased national income will accelerate the environmental quality improvement. The effect of economic integration on environmental quality in the member country is still debatable. This promising result encourages the authors to develop the tool even further in another research and the authors have also provided some possible further development based on the result of this work.PT Shopee International Indonesia sebelumnya penulis berafiliasi di World-Wide Fund for Nature (WWF) Indonesia Based on the evaluation, the tool can level up the existing data’s maturity level from 2-star and 3-star to the maximum 5-star based on the Five Star Open Data Standard. The main framework of the tool is developed based on an existing framework, extended to give more detailed steps and match to the case study at the Badan Pusat Statistik Indonesia (Indonesian Central Bureau of Statistics). The tool would take government data in the form of Excel and CSV files, or in other words 2-star and 3-star respectively, and process them into the maximum 5-star data in various formats. Government agencies, represented by their administrators, could use the tool to process their existing data into the more mature ones. This paper describes a solution for the problem in the form of a semi-automated publishing tool that could be used to advance the current OGD maturity level in Indonesia. However, in contrary, the maturity level of the OGD published on the publishing sites is quite low, scoring only one up to three stars out of the maximum five stars according to the global Five Star Open Data standard. In Indonesia, the creation and use of OGD have been supported by the government since 2011. © 2017 IEEE.Open Government Data (OGD) refers to the data produced or commissioned by the government or the government-controlled entities that can be freely used, reused, and redistributed by anyone.