scholarly journals The Use of Remote Sensing Technique to Predict Gross Domestic Product (GDP): An Analysis of Built-Up Index and GDP in Nine Major Cities in Canada

2014 ◽  
Vol XL-7 ◽  
pp. 85-92 ◽  
Author(s):  
K. Faisal ◽  
A. Shaker
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Gross Domestic Product ◽  
National Income ◽  
Industrial Area ◽  
Urban Morphology ◽  
Landsat Tm ◽  
Domestic Product ◽  
City Development ◽  
Total Employment

City/regional authorities are responsible to design and structure the urban morphology based on the desired land-use activities. One of the key concerns regarding urban planning is to establish certain development goals, such as Gross Domestic Product (GDP). In Canada, the gross national income mainly relies on mining and manufacturing industries. In order to facilitate new city development, this study aims to utilize remote sensing and GIS techniques to assess the relationship between the industrial area and the reported GDP in nine major cities in Canada. Free archive multi-temporal Landsat TM images and land use vector data were obtained for year 2005 and 2010 during the summer season, where the socio-economic data, such as GDP, population, and total employment are obtained from Metropolitan Housing Outlook for the same duration. The Landsat TM images were first atmospherically corrected and the built-up values were computed using the Normalized Difference Built-up Index (NDBI) and Normalized Difference Vegetation Index (NDVI) from the Landsat images. The high built-up values within the industrial areas were acquired for further analysis. Finally, a correlation analysis was conducted between the GDP, Population, and Total Employment with respect to the built-up areas. Preliminary findings show that the <i>R</i><sup>2</sup> between the percentage of built-up areas and industrial area within the corresponding city is 0.82. In addition, the R2 between the built-up areas and GDP ranges from 0.73 to 0.78. Consistent findings are observed in the similar correlation between the built-up areas and population, as well as the built-up areas and the employment, where the <i>R</i><sup>2</sup> is within 0.72 to 0.73. With the correlation found, we believe that results can be used as a generic indication for the federal/municipals authorities, which are aiming or target for a specific GDP with respect to the planned industrial area.

scholarly journals An Economics Analysis: Trend & Performance of Agriculture Production in Haryana

2020 ◽  
Vol 5 (6) ◽  
pp. 1184-1189
Author(s):  
Dr. Rajinder Godara ◽  
Bal krishan
Keyword(s):  
Gross Domestic Product ◽  
National Income ◽  
Secondary Data ◽  
Industrial Sector ◽  
Domestic Product ◽  
Services Sector ◽  
Agriculture Sector ◽  
Yield Production ◽  
Tube Wells ◽  
And Performance

The Agriculture sector is the mainstay role of Indian’s Economy & livelihood through the generate of employment in the agriculture sector. With the passage of time the Agriculture & Allied Sector is continuously declining because of a cause of land fragmented day by day. Due to the land fragmented but ours’ dependency on the industrial sector as well as the services sector. In the agriculture sector in 2017-18 of the workforce, 50 percent of people engagement depends on the agriculture sector. Further agriculture sector contribution 17-18 percent of the total GDP (Gross domestic product) of national income. In Haryana state agriculture contribution is about 14.5 percent to its gross domestic product (GDP) while providing employment 51 percent of the workforce engaged in agriculture. Further, about 75% of the area is irrigated, through tube Wells and an extensive system of canals. About 2/3rd of the State has assured irrigation, most suited for a rice-wheat production system, whereas rain-fed lands around 1/5th are most suited for rapeseed & mustard, pearl millet, cluster bean cultivation, agro-forestry, and arid-horticulture. Methodology Statistical Techniques and Tools: The secondary data published from Haryana statistical Abstract, Economic The survey, Ministry of Agriculture and Farmers’ Welfare, published Research papers in the journal, and agriculture reports and so on. To compute the growth behavior of trends and performance of agriculture production in Haryana farm area, yield, production and income, the exponential function will be fitted. Review of Literature, Problem increasing the productivity in Haryana. Improved agriculture Productivity

Analisis Pengaruh Utang terhadap Perekonomian dan Kemiskinan di Indonesia Periode 1949-2017

2018 ◽  
Vol 1 (1) ◽  
pp. 1-24
Author(s):  
Dedi Junaedi ◽  
Muhammad Rizal Arsyad
Keyword(s):  
Gross Domestic Product ◽  
Foreign Debt ◽  
National Income ◽  
National Development ◽  
Secondary Data ◽  
Development Planning ◽  
Debt Management ◽  
Domestic Product ◽  
Population Number ◽  
Better Than

Since  independence,  Indonesia   has   experienced  seven   changes   of   national leadership. Starting from  Soekarno, Soeharto, BJ Habibie, Abdurahman Wahid, Megawati, Susilo Bambang Yudhoyono (SBY), to Joko Widodo. During that time, foreign debt is always present to patch the development budget deficit. Debt is expected to move the wheels of the economy, create growth, create jobs, and alleviate poverty. This study aims  to  analyze  the  effect  of  debt, inflation  and  government regime differences on economic growth and poverty levels in Indonesia, from the Old Order era, the New Order, to the Reform Order. The study used  secondary data obtained from Bank Indonesia,  the National  Development  Planning  Agency (Bappenas), the Central  Bureau of Statistics (BPS), the World Bank, and other reference sources such as books, journals and scientific  papers. The data used  are  the value of  foreign debt, national income (Gross Domestic Product / GDP), population,  number and ratio of  the poor, inflation  rate in the period 1949 - 2017. The results  of  multiple  regression analysis  with  dummy variable (using  Eviews 10 application  program) show the  following  results:  Foreign debt has  correlation with  the national economic condition, in particular the value of Indonesian Gross Domestic Product and the level  of poverty. Debt tends to increase the value of GDP and reduce poverty. In terms of debt governance as a driver of the economy and poverty, the Suharto and Habibie Era tend to be different and better than the Sukarno Era. While the debt management of Era Abdurrahman Wahid, Era Megawati, Era SBY and Era Jokowi no different or no better than Era Sukarno. Although  nationally  can increase GDP and reduce poverty, debt can not improve people's prosperity (read per capita income). Foreign debt even tends to reduce the level of welfare of the people. This applies to all government regimes.    

scholarly journals Talk of Markets

2021 ◽  
Author(s):  
Laura Adler ◽  
Daniel Hirschman
Keyword(s):  
Gross Domestic Product ◽  
Economic Sociology ◽  
Economic Value ◽  
Market Price ◽  
National Income ◽  
Domestic Product ◽  
Market Prices ◽  
Cultural Object ◽  
Key Features

This paper examines “market talk” as a pervasive and flexible cultural tool. We analyze two cases in which the market is invoked as a justification: employers’ pay-setting practices and the exclusion of unpaid housework from calculations of gross domestic product. Employers interpret a candidate’s past salary as “the market price” indicating that individual's value, and thus use salary history as the basis for salary offers. National income statisticians argue that the absence of market prices for housework renders housewives' true economic value uncalculable. We identify three key features of market talk: authority, credibility, and accessibility. These features offer a framework for understanding why actors invoke markets and with what effects. Beyond understanding how culture constitutes or affects markets, economic sociology must also understand the market as a cultural object and, in particular, as a potent and gendered form of justification.

scholarly journals Protection of Intellectual Property and its Economic Aspects

2016 ◽  
Vol 5 (3) ◽  
pp. 5
Author(s):  
Lenka Pelegrinová ◽  
Martin Lačný
Keyword(s):  
Intellectual Property ◽  
Gross Domestic Product ◽  
Intellectual Property Rights ◽  
National Income ◽  
Domestic Product ◽  
Cross Sectional ◽  
Panel Data Regression ◽  
Data Regression ◽  
Significant Probability ◽  
Per Capita

Intellectual property as assets in intangible form is classified in most countries under the definitions of the TRIPS Agreement and PCT according to the manner of its protection. This article presents results of an analysis of relationship between the protection of intellectual property rights at certain globalization level and verification of their influence on economic indicators in the selected countries of the research sample – 32 countries of a similar intellectual property protection system under the PCT. An examination of the level of globalization as a quantitative marker was enabled by the KOF Index of Globalization. The time and cross-sectional data enabled to test 352 objections by applying a non-parametric statistical method – panel data regression with the effect of random cross-sectional variables. The conclusions show that there is a statistically significant probability of the relation between the quantity of registered patents and the level of gross domestic product, gross domestic product per capita and adjusted net national income.

scholarly journals Modeling the Relationship between the Gross Domestic Product and Built-Up Area Using Remote Sensing and GIS Data: A Case Study of Seven Major Cities in Canada

2021 ◽  
Author(s):  
Kamil Faisal ◽  
Ahmed Shaker ◽  
Suhaib Habbani
Keyword(s):  
Remote Sensing ◽  
Total Population ◽  
Industrial Area ◽  
Economic Data ◽  
Total Employment ◽  
The Real ◽  
Real Gdp ◽  
Gis Data ◽  
The Relationship ◽  
Strong Linear Relationship

City/regional authorities are responsible for designing and structuring the urban morphology based on the desired land use activities. One of the key concerns regarding urban planning is to establish certain development goals, such as the real gross domestic product (GDP). In Canada, the gross national income (GNI) mainly relies on the mining and manufacturing industries. In order to estimate the impact of city development, this study aims to utilize remote sensing and Geographic Information System (GIS) techniques to assess the relationship between the built-up area and the reported real GDP of seven major cities in Canada. The objectives of the study are: (1) to investigate the use of regression analysis between the built-up area derived from Landsat images and the industrial area extracted from Geographic Information System (GIS) data; and (2) to study the relationship between the built-up area and the socio-economic data (i.e., real GDP, total population and total employment). The experimental data include 42 multi-temporal Landsat TM images and 42 land use GIS vector datasets obtained from year 2005 to 2010 during the summer season (June, July and August) for seven major cities in Canada. The socio-economic data, including the real GDP, the total population and the total employment, are obtained from the Metropolitan Housing Outlook during the same period. Both the Normalized Difference Built-up Index (NDBI) and Normalized Difference Vegetation Index (NDVI) were used to determine the built-up areas. Those high built-up values within the industrial areas were acquired for further analysis. Finally, regression analysis was conducted between the real GDP, the total population, and the total employment with respect to the built-up area. Preliminary findings showed a strong linear relationship (R2= 0.82) between the percentage of built-up area and industrial area within the corresponding city. In addition, a strong linear relationship (R2= 0.8) was found between the built-up area and socio-economic data. Therefore, the study justifies the use of remote sensing and GIS data to model the socio-economic data (i.e., real GDP, total population and total employment). The research findings can contribute to the federal/municipal authorities and act as a generic indicator for targeting a specific real GDP with respect to industrial areas.

scholarly journals Factors of Production Influencing Gross Domestic Product in Nepal

2021 ◽  
Vol 19 (2) ◽  
pp. 41-45
Author(s):  
Prabhat Jha ◽  
Shiva Chandra Dhakal
Keyword(s):  
Gross Domestic Product ◽  
Agricultural Land ◽  
Labour Force ◽  
National Income ◽  
Regression Function ◽  
Domestic Product ◽  
Average Growth Rate ◽  
Average Growth ◽  
Fixed Capital Formation ◽  
Factors Of Production

This study has analysed the factors of production, viz; agricultural land, working force and gross fixed capital formation (GFCF) of Nepal between 2000/01-2017/18 AD and has determined their effects on national income, viz; Gross Domestic Product (GDP) by using Cobb-Douglas regression function. The results showed an average growth rate of GDP, agricultural land, working force and GFCF to be 3.9%, 0.8%, 1.5% and 7.9%, respectively, with the values plummeting in 2015/16, due to occurrence of the devastating earthquake in 2015, but then again variable values skyrocketed following years. The regression analysis found that GDP was affected significantly by agricultural land and working force, but insignificant with GFCF. On an average, with the increase in agricultural land and working force by 1 %, GDP increased by 1.1% and 1.7%, respectively. Thus, policy regarding an increment of agricultural land use and employment of labour force must be framed to improve the Nepalese economy.

scholarly journals Revenue Productivity of the Tax System in Namibia: Tax Buoyancy Estimation Approach

2019 ◽  
Vol 11 (2(J)) ◽  
pp. 112-119
Author(s):  
A Shikongo ◽  
A Shikongo ◽  
O Kakujaha-Matundu ◽  
T Kaulihowa
Keyword(s):  
Gross Domestic Product ◽  
National Income ◽  
Domestic Product ◽  
Tax Revenue ◽  
Economic Activities ◽  
Tax System ◽  
Correction Model ◽  
Tax Rate ◽  
Revenue Collection ◽  
The Government

Buoyancy refers to how tax revenue responds to a gross domestic product without correcting for discretionary alterations in the tax system. The paper assessed the buoyancy of Namibia’s overall tax system in an attempt to measure the response of the tax system in entirety because of fluctuations in the national income and/or the deliberate act by the government to increase tax rate, reviewed tax code and tax machinery etc. The study employed the Engle-Granger approach to the error correction model to estimate the tax buoyancy for the period 2001 to 2014. The empirical findings from the study revealed that overall the Namibian tax system is income inelastic and not buoyant. This is confirmed by a low and negative value of 0.036 which is less than unit. Thus, the economy is not generating sufficient revenue both through discretionary tax measure and through the expansion in the economic activities. Therefore, the government need to introduce measures that will allow for more tax revenue collection to have a stable revenue base. This also means the government need to keep track of tax mobilization with growth in the gross domestic product as well as to ascertain taxes that are productive.

scholarly journals Islamic Responses to the Financial and Economic Crises

ICR Journal ◽  
2009 ◽  
Vol 1 (2) ◽  
pp. 255-257
Author(s):  
Abdul Karim Abdullah (Leslie Terebessy)
Keyword(s):  
Financial Crisis ◽  
Gross Domestic Product ◽  
Economic Crisis ◽  
Economic Activity ◽  
National Income ◽  
Standard Of Living ◽  
Domestic Product ◽  
International Level ◽  
Low Levels ◽  
Increase In Productivity

An economic crisis is the flip side of a financial crisis. A financial crisis, whether on a personal, national or international level, takes place when economic activity - the source of income - slows down or stops. Economic activity generates income. When production slows down income paid for the use of the factors of production also falls. As the gross domestic product declines so does national income. When there is a recession or a depression the economy needs to be revived - fast. An increase in efficiency or productivity contributes to higher profits, higher incomes, and a higher standard of living. Low productivity keeps income at low levels. When income increases without a proportionate increase in productivity, however, it is as if a car engine were running at a higher speed - but in the neutral gear. More income is being generated, but there is little corresponding increase in real wealth. Islam, in turn, appears to offer effective responses to a variety of crises - including financial and economic ones.

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