scholarly journals Accounting Implications of Micro-Fiscal Measures and Quality of Real Gross National Goods and Services: Empirical Evidence From Nigeria

2020 ◽  
Vol 11 (6) ◽  
pp. 155
Author(s):  
Akabom I. Asuquo ◽  
Arzizeh Tiesieh Tapang ◽  
Uwem E. Uwah ◽  
Nicholas O. Dan ◽  
Ashishie Peter Uklala
Keyword(s):  
Empirical Evidence ◽  
Inverse Relationship ◽  
Time Series Data ◽  
Series Data ◽  
Government Agencies ◽  
Exploratory Research ◽  
Direct Effects ◽  
Goods And Services ◽  
The Government

The study explored into accounting implications of micro-fiscal measures and quality of real gross national goods and services: empirical evidence from Nigeria for a period of thirty years. The objective was to examine how micro-fiscal measures affect real gross national goods and services using thirty years’ time-series data. The exploratory research methodology was applied and data collected were analysed using multiple regression and other statistical techniques. Findings of the study revealed that significant and direct effects were exerted on gross national goods and services by all the known and identified micro-fiscal measures in the review, except swap and levy ratios which had inverse relationship as revealed by their coefficients obtained from the analysis. Therefore, the government and government agencies have a duty to control macro-fiscal activities in terms of creation of national goods, wealth and services using the identified micro-fiscal mechanisms as the basis for decisions and policies making besides implementation.

scholarly journals The Nexus between Export and Economic Growth in Tanzania

2019 ◽  
Vol 1 (2) ◽  
pp. p95
Author(s):  
Romanus L. Dimoso (PhD, Economics) ◽  
UTONGA, Dickson (MSc. Economics)
Keyword(s):  
Economic Growth ◽  
Time Series Data ◽  
Series Data ◽  
Test Results ◽  
Causality Test ◽  
Goods And Services ◽  
Long Run ◽  
Causality Tests ◽  
The Government ◽  
Econometrics Analysis

This study explored the causal relationship between exports and economic growth in Tanzania. It analyzed time series data for the period of 1980 to 2015. Economic growth is measured in terms of growth per cent while exports are measured in percentage change of goods and services sold abroad. Econometrics analysis was employed in the due course. Such procedures as testing for the presence of unit root, co-integration and causality were done. Furthermore, the Johansen co-integration and Granger causality tests were employed to examine the long-run relationship among variables. The results of co-integration indicate the existence of one co-integrating equation. The causality test results exhibited causality which runs from economic growth to exports. The results conclude that, in the long run, there is a relationship between exports and economic growth in Tanzania. This study recommends the Government to make efforts to improve exports and eventually, in the long-run, rejuvenating the economy.

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 The Influence of Oil Price Uncertainty on Economic Activities in Nigeria

2021 ◽  
Vol 10 (2) ◽  
pp. 18-24
Author(s):  
Samson Ogege ◽  
Tarila Boloupremo
Keyword(s):  
Time Series Data ◽  
Unit Root Test ◽  
Secondary Data ◽  
Least Square ◽  
Oil Price ◽  
Series Data ◽  
Economic Activities ◽  
Annual Time Series ◽  
The Government

This paper seeks to appraise the uncertainty of oil price influence on the activities of Nigerian economy with regard to human development in Nigeria. The research utilized the annual time series data spanning between 1981-2018, and the stationarity of the observed variables was tested by carrying out a unit root test and the stationarity of most of the observed variables were revealed at first difference. The secondary data employed were analyzed with the aid of least square technique of data analysis to assess the association between the observed variables. In response to the outcomes of the analysis, it was revealed that crude oil price positively and insignificantly influences life expectancy, but significantly influences consumption per capital and contrarily, it revealed negative and insignificant influence on physical quality of life and education index. It was inferred by the study that, there is existence of a comparative association of oil price with the indicators of Nigerian economic development. However, there is divergence of influence of the mechanisms of economic attributes as well as performance indicators. The study recommends that, a strict measure of monetary policy should be adopted by the government to regulate the rates of interest and inflation in the economy on a regular basis.

scholarly journals Determinan dan Trend Kemiskinan di Kabupaten Wonosobo Provinsi Jawa Tengah

2020 ◽  
Vol 4 (1) ◽  
pp. 120
Author(s):  
Farida Nur Isnaini ◽  
Abdul Aziz Ahmad ◽  
Suharno Suharno
Keyword(s):  
Time Series Data ◽  
Secondary Data ◽  
Minimum Wages ◽  
Least Square ◽  
Domestic Product ◽  
Series Data ◽  
Ordinary Least Square ◽  
The Government ◽  
Observation Period

This study aims to analyze the effect of population, education, regional Minimum Wages, inflation, and Gross Regional Domestic Product on poverty and analyze poverty trends in Wonosobo Regency. This study uses secondary data in the form of time series data with an observation period of 2002-2017 and the research method is multiple linear regression with the Ordinary Least Square model. The analysis shows that education, regional minimum wages and gross regional domestic product have a negative and significant impact on poverty in Wonosobo Regency. Population growth, and inflation does not have a significant effect on poverty in Wonosobo Regency. In addition, the future poverty trend of Wonosobo Regency is negative. These findings imply the first need for skills and expertise training programs in improving the quality of education. Second, the government must increase regional minimum wages, so that people can meet their daily needs. The government needs to increase economic growth in all sectors of the economy by using its potential.

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.

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.

Factors affecting the development of e-government using a citizen-centric approach

2015 ◽  
Vol 6 (3) ◽  
pp. 206-222 ◽  
Author(s):  
Kanda Sorn-in ◽  
Kulthida Tuamsuk ◽  
Wasu Chaopanon
Keyword(s):  
Quantitative Research ◽  
Service Providers ◽  
Structured Interview ◽  
Government Agencies ◽  
Content Type ◽  
Factors Affecting ◽  
Government Services ◽  
Government Sector ◽  
The Government

Purpose – The purpose of this paper is to study the factors affecting the development of e-government by using a citizen-centric approach. Design/methodology/approach – This paper is a mixed-methods study consisting of qualitative and quantitative research. Data were collected from government agencies using a structured interview and questionnaire about e-government services. The research was collected from the people responsible for the management of an e-government project in 75 government agencies. In addition, the researcher collected data from 1,400 citizens by using an e-Survey questionnaire that grouped participants by age. Findings – By using a citizen-centric approach, the paper identified the factors affecting the development of e-government. There were five factors from the viewpoint of government agencies and citizen groups: quality of e-government services, policy and governance, information technology infrastructure, organization and economy and society. Research limitations/implications – The research covered the development patterns of e-government for services from government to citizens only. Practical implications – Seeing the importance of environmental factors for both service providers and service users would facilitate continuous improvement of e-government service provision by government agencies. Social implications – The results reflect citizens’ need for e-government services; quality is their priority. Hence, government agencies must consider the quality of the delivery of information and e-government services as they relate to the lifestyles and needs of citizens. Originality/value – The creation of knowledge from merging e-government concepts with citizen-centric principles is a modern government sector management theory. This research stresses the need for the government sector to see the need for e-government and to recognize the factors for its successful development. This means the design and development of e-government services should respond to the increasing needs of the citizens.

scholarly journals ANALISIS PENGARUH REMITANSI, INVESTASI ASING LANGSUNG, IMPOR DAN PERTUMBUHAN EKONOMI DI INDONESIA

2020 ◽  
Vol 2 (4) ◽  
Author(s):  
Regina Septriani Putri ◽  
Ariusni Ariusni
Keyword(s):  
Economic Growth ◽  
Foreign Direct Investment ◽  
Direct Investment ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
Positive Effect

Abstract : This study examined and analysis the effect of remittances, foreigndirect investment, imports, and economic growth in Indonesia in the long run andshort run. This study using Error Correction Model (ECM) method and using theannual time series data from 1989 to 2018. This study found that: (1) remittancehave an insignificant positive effect on economic growth in the long run and shortrun,(2)foreign direct investment have a significant positive impact on economicgrowth in the long run and short run, (3) import have an insignificant positiveimpact on economic growth both in the long run and short run. To increase theeconomic growth in the future, this study suggests the government to decresingimports of consume goods and increasing the inflow of capital goods, rawmaterial goods, remittances and foreign direct investment.Keyword : Remittance, Foreign Direct Investment, Import, Economic Growth andECM

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>

scholarly journals Current Situation of Egyptian Cotton: Econometrics Study Using ARDL Model

2019 ◽  
Vol 11 (10) ◽  
pp. 88
Author(s):  
Yosri Nasr Ahmed ◽  
Huang Delin
Keyword(s):  
Time Series Data ◽  
Agricultural Practices ◽  
Government Support ◽  
Series Data ◽  
Cotton Crop ◽  
Export Prices ◽  
The Government ◽  
Bound Test ◽  
Egyptian Cotton ◽  
Relative Profitability

The Egyptian cotton crop have experienced challenges in recent years from a drop in the quantity produced and exported, to a decrease in cultivated areas, this have affected the production quantity and value of exports. This study aims to bridge the research gap by exploring the nexus between cultivated area of cotton in Egypt, Relative profitability (cotton-clover/rice-clover), export quantity of cotton, the export prices of Egyptian cotton and the export prices of American cotton (Pima). In order to clarify the relationship between the variables studied and the cultivated area of cotton, the research use time series data from 1980 to 2016, using the Autoregressive Distributed Lag (ARDL) bound test to the find the co-integration between the variables after checking the stationarity in chosen variables with different unit root tests e.g. Augmented Dickey-Fuller (ADF) and the Phillips-Perron (PP). The results show, significant factors that influence the cultivated area of cotton include Relative profitability (cotton-clover/rice-clover), export quantity of cotton in long run term. Which underscores the need for government support in agriculture, in particular, cotton crop support. The increasing trend of cotton cost with declining revenue and decreasing in exports quantity is the main cause of decreased cultivated area of Egyptian cotton. Research recommends that support should be given to cotton farmers, in the form of agricultural equipment or training in good agricultural practices or set a price for cotton guaranteeing a decent profit margin for the farmers. The government (policy makers) should improve the productivity of cotton with the purpose of reducing the total costs and increasing the degree of competitiveness of the Egyptian cotton. Some effective policy measures may include but not limited to, farmer training programs and providing better extension services that will led to the capacity development of farmers.

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