scholarly journals Appraisal of The Control 0f Industrial Policies to the Digital Economy: Proof from Tanzania

2020 ◽  
pp. 215-220
Author(s):  
Nuhu Sansa
Keyword(s):  
Gross Domestic Product ◽  
Digital Economy ◽  
Annual Reports ◽  
Domestic Product ◽  
Economic Openness ◽  
Industrial Policies ◽  
Technology Advancement ◽  
Simple Regression Model ◽  
Contemporary Study ◽  
Information And Technology

Recent in Tanzania evidence show that the rapid technology advancement resulted to the high and significant contribution to the Gross domestic product and economic development. Allude to that fact; the interrogation of policy infrastructure particularly industrial policies to pilot the digital economy is inescapable. The contemporary study is determined to explore the control of industrial policies to the digital economy specifically macroeconomic digital variables employed by the study (Information and Technology Gross Domestic Product and Population Using Internet) during the period from 2010 to 2017 in Tanzania. With respect to that, simple regression model is applied to inquire into the control of industrial policies to the digital economy in Tanzania during the period from 2010 to 2017. Ascribable to the sparseness of data, the only data accessible for the study during the period from 2010 to 2017 were gathered from the World Bank and the Bank Of Tanzania Annual Reports. Straight to investigate the control of industrial policies to the digital economy in Tanzania during the period from 2010 to 2017, industrial policies were represented by the economic openness which be positioned independent variable, while Information and Technology Gross Domestic Product and Population Using Internet were dependent variables in the study. The information discovered in the study was in actual fact catching the attention. Information discovered as a result of the exploration shows that the relationship between economic openness and all digital macroeconomic variable applied by the study (Information and Technology Gross Domestic Product and Population Using Internet) is Negative and meaningless. To such a degree industrial policies had no control to the digital economy during the period from 2010 to 2017 in Tanzania.

scholarly journals Effect of Economic and Agricultural Diversification on the Economic Growth in Nigeria

2020 ◽  
Vol 40 (01) ◽  
Author(s):  
Ohunyeye O. Felix ◽  
Obamen Joseph ◽  
Omonona Solomon ◽  
Agbaeze K. Emmanuel
Keyword(s):  
Economic Growth ◽  
Gross Domestic Product ◽  
Time Series Data ◽  
Test Method ◽  
Annual Reports ◽  
Domestic Product ◽  
Series Data ◽  
Agricultural Diversification ◽  
The Government ◽  
Bound Test

The study examines the effect of economic and agricultural diversification on economic growth in Nigeria. The objectives were to determine the effect of government agricultural spending on Nigeria’s Gross Domestic Product. Data were collected from secondary sourced using the time series data which was extracted from the Central Bank of Nigeria (CBN) annual Statistical Bulletin for the period and The Nigeria Bureau of Statistic annual reports. Data were analyzed using the Autoregressive Distributed Lag (ARDL) approach or Bound Test Method. The findings revealed that Government agricultural expenditure does not have a significant effect on Gross Domestic Product. The investigation suggested that the government at all level should increase their budgetary allocations for agriculture and also develop a functional agricultural long-term blueprint to improve the sector.

scholarly journals Analysis of the Contribution of China’s Industrial Policies to Agriculture Sector

2020 ◽  
pp. 143-148
Author(s):  
Nuhu A. Sansa
Keyword(s):  
Food Production ◽  
Economic Openness ◽  
Economic Variables ◽  
Industrial Policies ◽  
Agriculture Sector ◽  
The World Bank ◽  
Simple Regression Model ◽  
Dependent Variables ◽  
Independent Variable ◽  
The Relationship

Recent different literature argued that China‟s agriculture sector contribution to economic development is deteriorating. The agriculture sector contribution with regard to Agriculture GDP contribution, agriculture employment, and foreign exchange earnings were decreased. The present study is undertaken to investigate the contribution of industrial policies to the Agriculture sector of China during the period from 2007 to 2018. Simple regression model employed as a methodology to investigate the contribution of industrial policies to the agriculture sector in China during the period from 2007 to 2018. The data of all agriculture macro-economic variables applied in this study (Economic openness, Agriculture GDP, Agriculture Food Production, and Employment in Agriculture) were collected from the World Bank for the whole period from 2007 to 2018. In order to investigate the contribution of Industrial policies to the agriculture sector in China, industrial policies were represented by the economic openness which stands as independent variable, while agriculture GDP, Agriculture food production and employment in agriculture were dependent variables in the study. The information discovered in the study was in actual fact catching the attention. Information discovered as a result of the investigation shows that relationship between Economic openness and Agriculture GDP is Negative, While the relationship between economic openness and other Agriculture macro-economic variables (Agriculture Food Production and Agriculture Employment) is Positive and meaningfully during the period from 2009 to 2018 in China. That means Industrial policies had meaningful contribution to Agriculture Food production and Agriculture Employment, While Industrial policies had no contribution to Agriculture GDP during the period from 2009 to 2018 in China.

scholarly journals Does Minor Crops (Bajra, Barley and Jowar) Have Significant Association to Agriculture Sector of Pakistan? An Empirical Investigation

2019 ◽  
Author(s):  
Abdul Rehman ◽  
Abbas Ali Chandio
Keyword(s):  
Gross Domestic Product ◽  
Negative Impact ◽  
Least Square ◽  
Policy Implications ◽  
Annual Reports ◽  
Domestic Product ◽  
Agriculture Sector ◽  
Study Results ◽  
Integration Test ◽  
Minor Crops

This paper investigates and explores the minor crops production in Pakistan and its association with the agricultural gross domestic product. The agriculture sector of Pakistan has a rich contribution to the economic growth and development. Like major crops; minor crops also have a vital role to boost up the agriculture sector. Time span data was used in this study and it was collected from the Economy Survey of Pakistan annual reports. Augmented Dickey-Fuller (ADF) unit root test and Ordinary Least Square (OLS) method was used to analyze the data and results were interpreted by employing the Johansen co-integration test. Study results reveal that bajra, barely and jowar has a significant impact on the agricultural gross domestic product, while the total cropped area has a negative impact on AGDP. On the basis of the study results, we recommend the policy implications.

scholarly journals Assessing the Impact of Industrial Policies on Economic Development in Nepal

2016 ◽  
pp. 40-75
Author(s):  
Khom Raj Kharel
Keyword(s):  
Economic Development ◽  
Trade Balance ◽  
Industrial Development ◽  
Total Revenue ◽  
Total Trade ◽  
Economic Openness ◽  
Industrial Policies ◽  
Simple Regression Model ◽  
The Government ◽  
The Impact

This study analyzes the impact of industrial policies on Nepalese economic development. For this, simple regression model has been applied to estimate the impact of industrial policies on macroeconomic growth. The impact of industrial policies is analyzed as pre-liberalization period (1974/75-1991/92), post liberalization period (1991/92-2009/10) and whole period (1974/75- 2009/10). The result shows that there are significant positive relationship between economic openness and industrial registration, GDP, industrial GDP, employment, investment, foreign trade (imports and exports), trade balance, total revenue and trade tax in the whole of 1974/75- 2009/10. During pre-liberalization period, these relationships have also been found positive, as well. But, during the post liberalization period, the impact of economic openness on the growth of industries, GDP, employment, investment, total revenue, trade tax, total trade, import trade, export trade and trade balance are not found positive. To achieve the satisfactory result the government policies should be appropriately reviewed to make them investment friendly and accelerate the industrial development in Nepal.Economic Journal of Development Issues Vol. 17 & 18 No. 1-2 (2014) Combined Issue, Page: 40-75

scholarly journals Pengaruh Variabel Ekonomi Makro Pada Nilai Intrinsik Saham

2019 ◽  
pp. 2406
Author(s):  
I Komang Gede Darma Putra Sadia ◽  
I Gde Ary Wirajaya
Keyword(s):  
Exchange Rate ◽  
Gross Domestic Product ◽  
Stock Exchange ◽  
Intrinsic Value ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Sampling Technique ◽  
Total Sample ◽  
Annual Reports ◽  
Domestic Product

The purpose of this study was to find out and obtain empirical evidence of the effect of the rupiah exchange rate and gross domestic product on the intrinsic value of shares. The population of this study is non-financial companies listed on the Indonesia Stock Exchange for the period 2016-2017. The data sources used in this study are secondary data obtained in the annual reports of companies listed on the Indonesia Stock Exchange by accessing the site www.idx.co.id and the company's website. The sampling technique used was purposive sampling with a total sample of 283 companies in 2 years, so that in total 566 total observations were obtained. The data analysis used in this study is multiple linear regression analysis. Based on the results of the analysis it was found that the rupiah exchange rate variable had a negative effect on the intrinsic value of shares. While the gross domestic product variable has a positive influence on the intrinsic value of shares. Keywords: Price Earning Ratio, Rupiah Exchange Rate, Gross Domestic Product

scholarly journals Comparison of Gross Domestic Product Forecasts before and after the Covid-19

2021 ◽  
Author(s):  
Somayeh Afshari ◽  
Soheila Damiri
Keyword(s):  
Gross Domestic Product ◽  
Eastern Mediterranean ◽  
Annual Reports ◽  
Domestic Product ◽  
The World Bank ◽  
The World ◽  
Before And After ◽  
World Economic ◽  
The International Monetary Fund ◽  
Economic Outlook

The International Monetary Fund (IMF) and the World Bank (WB) publish annual reports on the world economic outlook. This study compared the Gross Domestic Product (GDP) of different countries by these 2 institutions, before and after the Covid-19 pandemic. The countries were selected from the 6 regions of Africa, the Americas, the Eastern Mediterranean, Europe, Southeast Asia, and the Western Ocean. In order to be able to compare these countries, WB reports were selected as a model and then the corresponding economic data were extracted from the IMF.

scholarly journals Trends in Gross Enrolment Ratio of Male Female Enrolment and Expenditure on Higher Education as Percentage of Gross Domestic Product India

2019 ◽  
Vol 9 (2) ◽  
pp. 1440-1442
Keyword(s):  
Higher Education ◽  
Gross Domestic Product ◽  
Human Resource Development ◽  
Secondary Data ◽  
Vital Role ◽  
Annual Reports ◽  
Domestic Product ◽  
Technology Services ◽  
The Government ◽  
Enrolment Ratio

Education plays a vital role in development of the society and the nation at large. It prepares and trained staff in any respect levels to manage capital, technology services and administration at each sector within the economy of the nation. India is presently at the stage of demographic transition wherever growth is retardation down however, the population of young people entering the labor/employment force continues to expand. This young and huge population ought to be educated for the betterment of the state. Gross Enrolment Ratio (GER) in higher education with respect to gender is having increasing trend. The proportion of students enrolling in the higher education has increased significantly during the last two decades and as a result the higher education institutes, private universities, private and government colleges, in India are increasing significantly. Though the government of India has its own limitations towards funding the higher education should formulate the policy of funding to the universities/educational institutes so that the quality and standard in higher education is maintained. The aim of this paper is to study the trends in male, female enrolment and expenditure on higher education as % of Gross Domestic Product (GDP) of country. The secondary data is taken from the annual reports of University Grants Commission, AISHE and Ministry of Human Resource Development of India. The data is analyzed by using MINITAB19 statistical software by fitting quadratic trend and the forecasts for the period 2018-19 to 2027-28 with respect to GER of Male, Female and public expenditure on higher education in India. The accuracy of the fitted model is measured on the basis of Mean Absolute Percent Error (MAPE). It was observed that student enrolment in higher education is increased but the expenditure on higher education as % of GDP has sown decreasing trend after 2000-2001.

scholarly journals Quantitative and qualitative aspects of measuring the digital economy

2019 ◽  
Vol 29 (4) ◽  
pp. 63-72
Author(s):  
T. A. Blatova ◽  
V. V. Makarov ◽  
N. S. Shuval-Sergeeva
Keyword(s):  
Gross Domestic Product ◽  
Business Models ◽  
Consumer Surplus ◽  
Well Being ◽  
Digital Economy ◽  
Domestic Product ◽  
Negative Consequences ◽  
Managerial Decision ◽  
Main Research ◽  
State Of The Economy

The main research subject is an assessment of a current state of the economy and the population well-being using conventional economic indicators. The article presents main trends that are available when people apply information and communication technology to business models and products that transform the economy and social and economic interaction. The analysis completed has showen that as an indicator in terms of digital economy the gross domestic product has no longer adequately presented an increase in a number and variety of services and complexity of the solutions developed. Authors propose new approaches to valuating a digital product based on measurements of the consumer surplus. Authors have shown that to solve problems of measuring the digital economy, we need reliable statistics for activity in the digital economy, so that the ongoing national economic policy does not have negative consequences for the country. There is the conclusion that in the near future, due to the lack of alternatives, the gross domestic product as an indicator will still be in use for measurements of the population well-being. Therefore, statistics quality, techniques for such data analysis, and efficient managerial decision-making based on them have been getting the most relevant.

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