Developing Public Sector Growth through E-Government and Democracy A Detailed Analysis

2020 ◽  
pp. 8-15
Author(s):  
Taufiq Gutawa
Keyword(s):  
Public Sector ◽  
Time Series Data ◽  
Series Data ◽  
Control Variables ◽  
Review Section ◽  
The Future ◽  
Efficiency And Effectiveness ◽  
Asean Countries ◽  
The Government ◽  
The Right

Public sector growth refers to the growth and development in the government-controlled departments and establishments. The industries and different sectors of a country that come under the influence of government come under public sector. E-government is actually the employment of innovative techniques and practices while performing several operations for the facilitation of citizens by the government. The core motive of using e-government practices to ensure the efficiency and effectiveness of those operations that are being performed for the public. Democracy refers to the right of citizens of a particular country in order to choose the leaders or government of their own choice based on the decision of majority. This study investigates promoting public sector growth through E-government adoption and democracy in ASEAN countries. Transparency rate and population factor are two important control variables which are induced in this research study. In the literature review section, previous related research studies have been indicated. The time-series data has been collected about concerned variables regarding ASEAN countries. The analyses portion includes unit root IPS, Pedroni cointegration and FMOLS regression and concluded that the hypotheses proposed by the researcher are accepted along with some share of impact of control variables. The researcher concluded that E-government and democracy positively impact public sector growth of ASEAN countries. At the last of this study, implications, limitations and future recommendations are also present. The implications include various theoretical, practical and policy making contexts. The future recommendations can be used by the future researchers so that they can increase the scope of their researches.

scholarly journals Analysis of Budget Imbalance Dynamics in Kenya

2018 ◽  
Vol 4 (4) ◽  
pp. 352
Author(s):  
Alex Oguso ◽  
Francis M. Mwega ◽  
Nelson H. Wawire ◽  
Purna Samanta
Keyword(s):  
Public Sector ◽  
Time Series Data ◽  
Supply And Demand ◽  
Series Data ◽  
Fiscal Consolidation ◽  
The Public ◽  
Distributed Lag ◽  
Seeking Behavior ◽  
Development Goals ◽  
The Government

<p><em>Kenya needs substantial and sustained fiscal consolidation to create fiscal space for financing the government’s election pledges, the Vision 2030 development projects, and sustainable development goals. However, the government has found it hard to sustain its fiscal consolidation attempts. This study investigates the fiscal consolidation constraints that act through the budget imbalance dynamics in Kenya using the </em><em>Olivera-Tanzi effect approach.</em><em> The study covers the period 2000-2015</em><em> using time series data and employs three </em><em>Auto-regressive Distributed Lag (ARDL) error correction models</em><em> in the analysis. The study showed that a </em><em>rise in the general price levels in the economy, adjustment of minimum wages, rise</em><em> in perceived levels of corruption in the public sector and the political budget cycles (occurrence of a general election) worsen the budget imbalances (deficits) thus </em><em>constrain fiscal consolidation efforts in Kenya. The study also demonstrated that </em><em>budget imbalance dynamics in Kenya could partly be explained by the Olivera-Tanzi proposition. </em><em>The study rec</em><em>ommends measures to reduce the fiscal imbalance gap in Kenya, which include controlling both supply and demand side inflationary pressure and dealing with rent seeking behavior in the public sector.</em></p>

Collective conflict in the public sector in France

2002 ◽  
Vol 8 (4) ◽  
pp. 688-700
Author(s):  
Marie-Armelle Souriac
Keyword(s):  
Public Sector ◽  
Collective Action ◽  
Collective Bargaining ◽  
Legal Regulation ◽  
Public Enterprises ◽  
Roles And Responsibilities ◽  
The Public ◽  
The Future ◽  
The Government ◽  
The Right

The right to strike has been recognised in France, even as a right guaranteed by the Constitution, since 1946. Strikes in the public sector are subject to specific legal regulation, including requirements for minimum notice periods and, in some circumstances, minimum service requirements. This contribution examines these special legal features of public-sector strikes. It is necessary to clarify the respective roles and responsibilities of the management of public enterprises (or administrative authorities) and the government. The article also considers alternative (and new) forms of collective action and agreements. In the future there may well be even greater scope for the regulation of strikes to be covered by collective bargaining.

scholarly journals OPEN DEFECATION IN MALAWI: A BOX-JENKINS ARIMA APPROACH

2020 ◽  
Vol 5 ◽  
pp. 156-165
Author(s):  
Smartson. P. NYONI ◽  
Thabani NYONI
Keyword(s):  
Time Series Data ◽  
Series Data ◽  
Annual Number ◽  
Open Defecation ◽  
Sanitation And Hygiene ◽  
Vision 2030 ◽  
Annual Time Series ◽  
The Government ◽  
The Right ◽  
Annual Time

Using annual time series data on the number of people who practice open defecation in Malawi from 2000 – 2017, the study predicts the annual number of people who will still be practicing open defecation over the period 2018 – 2021. The study applies the Box-Jenkins ARIMA methodology. The diagnostic ADF tests show that the M series under consideration is an I (1) variable. Based on the AIC, the study presents the ARIMA (3, 1, 0) model as the optimal model. The diagnostic tests further show that the presented model is stable and its residuals are stationary in levels. The results of the study indicate that the number of people practicing open defecation in Malawi is likely to decline, over the period 2018 – 2022, from approximately 5.1% to almost 2.8% of the total population. Indeed, by 2030, open defecation can be eliminated in Malawi: hence, the country is in the right track with regards to its vision 2030 (on water, sanitation and hygiene). The study suggested a 3-fold policy recommendation to be put into consideration, especially by the government of Malawi.

scholarly journals Pemodelan Dan Peramalan Indeks Harga Konsumen (IHK) Kota Sampit Dengan Seasonal Arima (Sarima)

2020 ◽  
Vol 6 (2) ◽  
pp. 61-72
Author(s):  
Agustina Elisa Dyah Purwandari
Keyword(s):  
Time Series Data ◽  
Moving Average ◽  
Consumer Price Index ◽  
Real Income ◽  
Series Data ◽  
Autoregressive Integrated Moving Average ◽  
Goods And Services ◽  
Seasonal Factors ◽  
The Government ◽  
The Right

AbstractSampit is one of 82 cities in Indonesia which calculate inflation. Inflation is an increase of prices on goods and services in a region. Government’s control is very important because inflation relates to the real income, the exchange rate, import exports, and so on. Inflation is based on the Consumer Price Index (CPI). Because of CPI is a monthly data prices, it is highly influenced by seasonal factors. Therefore, CPI data modelling is needed because it helps the government to make appropriate policies. Method that can be used for time series data with seasonal influences is Seasonal Autoregressive Integrated Moving Average (SARIMA). The results of the study show that the right model for Sampit’s CPI is SARIMA with the order p = 1, d = 1, P = 1, D = 1, Q = 1, s = 12. It is the best model that can built and be used for forecasting because with 95 percent of confidence, the model explains 87.23 percent of data. Forecasting in this research use interval analysis and found that January 2020 may be the highest increase of CPI (inflation) in 2020. Keywords: CPI, Inflation, SARIMA

scholarly journals DETERMINAN INFLASI DAN PENGANGGURAN DI NEGARA ASEAN

2020 ◽  
Vol 3 (2) ◽  
pp. 328-334
Author(s):  
Yufita Listiana ◽  
Sariyani
Keyword(s):  
World Bank ◽  
Cross Sections ◽  
Time Series Data ◽  
Series Data ◽  
The World Bank ◽  
Panel Data Regression ◽  
Data Regression ◽  
Unemployment Data ◽  
Asean Countries ◽  
The Government

Unemployment and inflation are macro problems that are often faced by a country. This problem can trigger social and political problems. This study aims to analyze the influence between inflation and unemployment in ASEAN countries. The data used are inflation and unemployment data taken from the World Bank website. This research method uses panel data regression, which is a regression model that combines 1991-1209 Time Series data and Cross Sections from 10 ASEAN countries. The results showed that unemployment has a significant effect on inflation in ASEAN countries, the government is expected to maintain inflation and unemployment stability.

Transport infrastructure of the Rostov Oblast: Problems and prospects for development in the context of national projects implementation

2020 ◽  
Vol 19 (6) ◽  
pp. 1015-1034
Author(s):  
O.Yu. Patrakeeva
Keyword(s):  
Time Series Data ◽  
Mutual Influence ◽  
Rostov Oblast ◽  
Transport Infrastructure ◽  
Series Data ◽  
Cointegration Tests ◽  
Level Of Economic Development ◽  
Short Run ◽  
The Government ◽  
The Impact

Subject. The paper considers national projects in the field of transport infrastructure, i.e. Safe and High-quality Roads and Comprehensive Plan for Modernization and Expansion of Trunk Infrastructure, and the specifics of their implementation in the Rostov Oblast. Objectives. The aim is to conduct a statistical assessment of the impact of transport infrastructure on the region’s economic performance and define prospects for and risks of the implementation of national infrastructure projects in conditions of a shrinking economy. Methods. I use available statistics and apply methods and approaches with time-series data, namely stationarity and cointegration tests, vector autoregression models. Results. The level of economic development has an impact on transport infrastructure in the short run. However, the mutual influence has not been statistically confirmed. The paper revealed that investments in the sphere of transport reduce risk of accidents on the roads of the Rostov Oblast. Improving the quality of roads with high traffic flow by reducing investments in the maintenance of subsidiary roads enables to decrease accident rate on the whole. Conclusions. In conditions of economy shrinking caused by the complex epidemiological situation and measures aimed at minimizing the spread of coronavirus, it is crucial to create a solid foundation for further economic recovery. At the government level, it is decided to continue implementing national projects as significant tools for recovery growth.

ANALISA PREDIKSI INDEKS HARGA SAHAM GABUNGAN MENGGUNAKAN METODE ARIMA

2020 ◽  
Vol 2 (2) ◽  
pp. 454
Author(s):  
Julkifli Purnama ◽  
Ahmad Juliana
Keyword(s):  
Capital Market ◽  
Stock Price ◽  
Time Series Data ◽  
Arima Model ◽  
Secondary Data ◽  
Actual Data ◽  
Series Data ◽  
Analysis Technique ◽  
The Right ◽  
The Capital Market

Investment in the capital market every manager needs to analyze to make decisions so that the right target to produce profits in accordance with what is expected. For that, we need a way to predict the decisions that will be taken in the future. The research objective is to find the best model and forecasting of the composite stock price index (CSPI). Data analysis technique The ARIMA Model time series data from historical data is the basis for forecasting. Secondary data is the closing price of the JCI on July 16 2018 to July 16 2019 to see how accurate the forecasting is done on the actual data at that time. The results of the study that the best Arima model is Arima 2.1.2 with an R-squared value of 0.014500, Schwarz criterion 10.83497 and Akaike info criterion of 10.77973. Results of forecasting actual data are 6394,609, dynamic forecast 6387,551 selisish -7,05799, statistics forecas 6400,653 difference of 6,043909. For investors or the public can use the ARIMA method to be able to predict or predict the capital market that will occur in the next period.

JUSTICE AND SOCIAL CHANGE FOR INCLUSIVE EDUCATION IN INDONESIA AND ASEAN FOR DISABLED PERSONS (STUDY ON PEOPLE AFFECTED BY LEPROSY)

2017 ◽  
Vol 1 (1) ◽  
pp. 1-5
Author(s):  
Nuah Perdamenta Tarigan ◽  
Christian Siregar ◽  
Simon Mangatur Tampubolon
Keyword(s):  
Inclusive Education ◽  
Local Governments ◽  
Disabled Persons ◽  
Equal Rights ◽  
Central Java ◽  
The People ◽  
Asean Countries ◽  
The Government ◽  
The Moment ◽  
The Right

Justice that has not existed and is apparent among the disabilities in Indonesia is very large and spread in the archipelago is very large, making the issue of equality is a very important thing especially with the publication of the Disability Act No. 8 of 2016 at the beginning of that year. Only a few provinces that understand properly and well on open and potential issues and issues will affect other areas including the increasingly growing number of elderly people in Indonesia due to the increasing welfare of the people. The government of DKI Jakarta, including the most concerned with disability, from the beginning has set a bold step to defend things related to disability, including local governments in Solo, Bali, Makassar and several other areas. Leprosy belonging to the disability community has a very tough marginalization, the disability that arises from leprosy quite a lot, reaches ten percent more and covers the poor areas of Indonesia, such as Nusa Tenggara Timur, Papua, South Sulawesi Provinces and even East Java and West Java and Central Java Provinces. If we compare again with the ASEAN countries we also do not miss the moment in ratifying the CRPD (Convention of Rights for People with Disability) into the Law of Disability No. 8 of 2016 which, although already published but still get rejections in some sections because do not provide proper empowerment and rights equality. The struggle is long and must be continued to build equal rights in all areas, not only health and welfare but also in the right of the right to receive continuous inclusive education.

scholarly journals Hypothesizing directional causality between the governance indicators and economic growth: the case of Afghanistan

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Mohammad Naim Azimi ◽  
Mohammad Musa Shafiq
Keyword(s):  
Economic Growth ◽  
Rule Of Law ◽  
Time Series Data ◽  
Political Stability ◽  
Wald Test ◽  
Series Data ◽  
Vector Autoregressive ◽  
Government Effectiveness ◽  
Governance Indicators ◽  
The Government

AbstractThis paper examines the causal relationship between governance indicators and economic growth in Afghanistan. We use a set of quarterly time series data from 2003Q1 to 2018Q4 to test our hypothesis. Following Toda and Yamamoto’s (J Econom 66(1–2):225–250, 1995. 10.1016/0304-4076(94)01616-8) vector autoregressive model and the modified Wald test, our empirical results show a unidirectional causality between the government effectiveness, rule of law, and the economic growth. Our findings exhibit significant causal relationships running from economic growth to the eradication of corruption, the establishment of the rule of law, quality of regulatory measures, government effectiveness, and political stability. More interestingly, we support the significant multidimensional causality hypothesis among the governance indicators. Overall, our findings not only reveal causality between economic growth and governance indicators, but they also show interdependencies among the governance indicators.

scholarly journals PENGARUH KORUPSI, DEMOKRASI DAN POLITIK TERHADAP KEMISKINAN DI DELAPAN NEGARA ASEAN DENGAN PERTUMBUHAN EKONOMI SEBAGAI VARIABEL MODERASI

2019 ◽  
Vol 1 (3) ◽  
pp. 845
Author(s):  
Yolanda Yolanda
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Predictor Variable ◽  
Combination Method ◽  
Annual Reports ◽  
Series Data ◽  
Transparency International ◽  
Negative Effect ◽  
Asean Countries ◽  
The Relationship

This study aims the influence of corruption, democracy and politics on poverty in ASEAN countries with economic growth as a moderating variable. The method used is using the panel regression model. This data uses a combination method between time series data from 2013 - 2016 and a cross section consisting of 8 countries. Data obtained from World Bank annual reports, Transparency International and Freedom House. The results of this study indicate that (1) Corruption Perception Index (CPI) has a significant and negative effect on poverty, meaning that if the CPI increases then poverty will decrease (2) Democracy has no significant and negative effect on poverty. This means that if democracy increases, poverty will decrease (3) Politics has a significant and negative effect on poverty, meaning that if politics increases, poverty will decrease (4) Economic growth has a significant and positive effect on poverty, meaning if economic growth increases then poverty will decline (3) Economic growth unable to moderate the relationship between corruption, democracy and politics towards poverty in 8 ASEAN countries. Economic growth as an interaction variable is a predictor variable (Predictor Moderate Variable), which means that economic growth is only an independent variable.

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