scholarly journals Real National Income Average Growth Rate: A Novel Economic Growth and Social Fair Evaluation Index

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Chien Wei Wu ◽  
Wei Zhan Hung
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Income Distribution ◽  
National Income ◽  
Economic Index ◽  
Average Growth Rate ◽  
Average Growth ◽  
Economic Growth Rate ◽  
The Difference ◽  
Real National Income

The purpose of this study is to propose a new economic index, namely, real national income average growth rate (RNIAGR), which measures the performance of economic growth with consideration for income distribution. This study also develops another new economic index, called five-scale real national income average growth rate (FSRNIAGR), which simplifies the calculation of RNIAGR. The merits of these new indexes are discussed to justify their efficacy. This paper also justifies the use of proposed index by showing that this index can actually measure the ordering of social welfare. To highlight the difference between this new index and the traditional ones, this paper compares the index with real economic growth rate using the data of Taiwan. In addition, this paper shows that when the real growth stagnates or even declines, this new index indicates that income distribution deteriorates.

scholarly journals KAJIAN SEKTOR PERTANIAN TERHADAP PEREKONOMIAN DI KABUPATEN MINAHASA UTARA

2017 ◽  
Vol 13 (3A) ◽  
pp. 15
Author(s):  
Kevin John Manoppo ◽  
Benu Olfie L. S ◽  
Lyndon ., Pangemanan
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Agricultural Sector ◽  
Central Bureau ◽  
Average Growth Rate ◽  
Average Growth ◽  
Economic Growth Rate ◽  
Agriculture Sector ◽  
North Sulawesi ◽  
Central Statistics

This study aims to determine the size of the contribution to the agricultural sector and to determine whether the agricultural sector became the basic sector and any agricultural sub-sector that became the base sector. The data used were collected from Central Bureau of Statistics of North Minahasa District, Central Statistics Agency of North Sulawesi, North Minahasa BAPPEDA. The data is then analyzed by calculating how much the contribution of agriculture sector to the economi of North Minahasa District, LQ, and economic growth rate. The results showed that the contribution of the agricultural sector tends to decrease in the period 2010-2015, but the agricultural sector is still the sector that has the largest contribution in PDRB Kabupaten Minahasa Utara. Average growth rate of agriculture sector during the period of 2010-2015 was amounted to 4.48% the calculation of LQ indicates that the agricultural sector was still the base sector in North Minahasa Regency and agriculture sub-sector which is the base sub-sector was horticulture and the others, annual plantation sector such as the livestock sub sector and fishery sub-sector.

More on the Dynamics of Agricultural Contribution to Economic Growth — Reply

1992 ◽  
Vol 21 (1) ◽  
pp. 75-81
Author(s):  
Edward Nissan
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Entire Period ◽  
Rate Data ◽  
Average Growth Rate ◽  
Annual Average ◽  
Average Growth ◽  
Period Data ◽  
Annual Average Growth Rate

In his note on my recent two articles in this journal, Professor Addington Coppin states that the results obtained for estimating agricultural contribution to economic growth in various economies are sensitive to employing annual average growth rate data, end-of-period output shares, and geometric “weights” in some of the calculations. He suggests that the results would have been more accurate by employing (1) simple percentage changes in the level variables over the entire period of consideration; (2) beginning-of-period data on output shares; and (3) arithmetic weights. This reply addresses the logic and correctness of the approach undertaken in my research that strengthen the confidence in the results offered in my articles.

scholarly journals Assessing the lockdown effect from excess mortalities

2021 ◽  
Author(s):  
Alexej Weber
Keyword(s):  
Growth Rate ◽  
South Korea ◽  
Growth Rates ◽  
Excess Mortality ◽  
Reproduction Number ◽  
Average Growth Rate ◽  
Average Growth ◽  
Reproduction Numbers ◽  
The Difference ◽  
Pharmaceutical Interventions

AbstractBackground and AimsThe reported case numbers of COVID-19 are often used to estimate the reproduction number or the growth rate. We use the excess mortality instead, showing the difference between most restrictive non-pharmaceutical interventions (mrNPIs) and less restrictive NPIs (lrNPIs) with respect to the growth rate and death counts.MethodsWe estimate the COVID-19 growth rate for Sweden, South Korea, Italy and Germany from the excess mortality. We use the average growth rate obtained for Sweden and South Korea, two countries with lrNPIs, to estimate additional death numbers in Germany and Italy (two countries with mrNPIs) in a hypothetic lrNPIs scenario.ResultsThe growth rate estimated from excess mortality decreased faster for Germany and Italy than for Sweden and South Korea, suggesting that the mrNPIs have a non-negligible effect. This is not visible when the growth rate is calculated using the reported case numbers of COVID-19. This results in approximately 4 500 and 12 000 more death numbers for Germany and Italy, respectively.ConclusionThe reproduction numbers or growth rates obtained from reported COVID-19 cases are most likely biased. Expanding testing capacity led to an overestimation of the growth rate across all countries analyzed, masking the true decrease already visible in the excess mortality. Using our method, a more realistic estimate of the growth rate is obtained. Conclusions made for the reproduction number derived from the reported case numbers like the insignificance of most restrictive non-pharmaceutical interventions (lockdowns) might be wrong and have to be reevaluated using the growth rates obtained with our method.

scholarly journals Final Asigment

2019 ◽  
Author(s):  
Yulia Fitra
Keyword(s):  
Economic Growth ◽  
Income Distribution ◽  
Gross National Product ◽  
National Income ◽  
National Product ◽  
The People ◽  
Real Increase ◽  
Real National Income

Eonomic growth itself is a process where there is a real increase in gross national product or real national income in a country. Economic growth is essentially aimed at improving the welfare of the people (walfare), therefore it requires increased economic growth and more equitable income distribution. However, if the growth is followed by an improvement in income distribution, it will be difficult to create prosperity for the community in general, because the income distribution is uneven or does not run smoothly, so that it will automatically disrupt the Indonesian economy, and will be in poverty.

scholarly journals Analisis Komoditas Unggulan Tanaman Pangan Di Kabupaten Aceh Timur

2019 ◽  
Vol 4 (1) ◽  
pp. 80
Author(s):  
Agustina Arida ◽  
M Mujiburrahmad ◽  
Syamsul Anwar
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Rice Production ◽  
Food Crops ◽  
Green Beans ◽  
Location Quotient ◽  
Average Growth Rate ◽  
Average Growth ◽  
Aceh Province ◽  
The Government

Government efforts for agricultural development in order to increase economic growth in the current era of globalization aims to identify superior commodities that exist in the region. Thus, the government can increase competitiveness with other regions that produce the same commodity. The existence of superior commodities in an area reflects to agricultural resources  and economic potential that can be further developed to increase regional economic growth. The purpose of this study is to find what superior commodities to food crops are and to determine the growth rate of production of food crops in East Aceh Regency. This study used LQ (Location Quotient) analysis and Compounding Factor Growth Analysis. The scope of this research is limited to the production and planting area of food crops (rice, corn, soybeans, peanuts, green beans, cassava, sweet potatoes) in East Aceh Regency. The types of data in this study are secondary data with the type of data time series production and planting area of food crops in East Aceh Regency during from 2012 to 2016. There were 7 (seven) food crop commodities found in East Aceh Regency, two commodities that have advantages (LQ> 1), namely rice and soybeans. Both commodities are classified as superior commodities because they are influenced by factors in the amount of planting area and high production. The area of planting and production of the two commodities contributed to the planting area and production of the Aceh Province exceeding the contribution of the same planting area and production of commodities in other regions. For soybean commodities, the value of LQ obtained from the planting area is (1.59) and the production LQ is equal to (1.63). While the LQ rice planted area obtained is (1.01) and the production LQ is equal to (1.05). The average of the leading commodities that get the first rank are soybean commodities with an average LQ value of (1.59) and the second rank is rice commodities with an average LQ value of (1.05). In East Aceh District there were two leading commodity that have an average growth rate of production above the rate of growth of Aceh Province are soybeans with an average growth rate of production of (10.50). Whereas rice with an average production growth rate of (-2.88). The average growth rate of rice production in East Aceh Regency is below the average growth rate of rice production in Aceh Province.

scholarly journals Pengaruh Investasi Sektor Perikanan Terhadap Perekonomian Indonesia

2019 ◽  
Vol 6 (2) ◽  
pp. 76-81
Author(s):  
Agustina - Arida
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Significant Role ◽  
Agricultural Sector ◽  
Positive Impact ◽  
National Income ◽  
Simultaneous Equations ◽  
Least Square ◽  
Economic Growth Rate ◽  
Made In

ABSTRACT Fisheries sub-sector in Indonesia has long maintained as the support of the nation's economy. Increased investment fisheries sub-sector has encouraged the acceleration of development in this sector, due to a positive impact on the structure of production, the availability and accessibility of capital, technology and the availability of skilled labor, which it is a component of the development of Indonesia's economic growth rate. The aim of research to determine the effect of increased investment toward increased revenues, and the influence of economic growth on investment. The model is made in the form of simultaneous equations, then estimated using 2SLS (two stage least square). Prior to estimation, to identify whether the equation which will direduce form has been identified or over-identified. The results of the agricultural sub-sector investment research has not been a significant impact on economic growth in Indonesia. Cases in Indonesia, economic growth or an increase in the national income will have an effect on the growth of investment. This is consistent with the theoretical aspects of these two variables, which, if income increases, the investment will also increase. Woke up only one-sided relationship, in this case affects only GDP but investment sub Investment agricultural sector has not been much (not significant) role in improving economic growth in Indonesia.

SEKTOR UNGGULAN DAN PERTUMBUHAN EKONOMI DALAM PENGEMBANGAN POTENSI EKONOMI DI KABUPATEN SRAGEN PROVINSI JAWA TENGAH

ProBank ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 221-229
Author(s):  
Yofhi Septian P ◽  
Tri Nurdyastuti
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Secondary Data ◽  
Average Growth ◽  
Economic Growth Rate ◽  
Service Companies ◽  
Central Java ◽  
Qualitative Descriptive ◽  
Transportation Routes ◽  
Crossing Point

Research Objectives To determine the Stregth, Weekness, Opportunuty, Threat Boyolali Regency in2010-2016. This study uses quantitative and qualitative descriptive data using secondary data from BPS Sragen Regency in 2010-2016. The research uses quantitative analysis calculations on regional potential, economic growth, and economic structure will then be analyzed qualitatively using SWOT, LQ, shift share analysis. From the results of the study above shows the largest results of the leading sectors of service companies amounted to 1.7 and 1.9 and the lowest water management amounted to 0.11 and 0.21. The LQ table results show that the location magnitude is dominated by large traders <the supply of drinks and communication information. 3. And the lowest in the financial sector is <transportation and mining of 0. Sragen regency is one of the districts in Central Java which has a very strategic location. Geographically, this regency is a crossing point for regional transportation routes between the cities of Semarang, Solo and Surabaya. The economic growth rate of Sragen Regency in 2016 was recorded at 5.72 percent. This growth rate was recorded as the fourth largest in Central Java Province and the highest among all regencies / cities in the ex-residency area of Surakarta. In addition, the rate of economic growth in Sragen Regency in the last few years has always been above the average growth rate of the Central and National Provinces of the Province.

An ERBF Network Prediction of Taiwan’s Crude Birth Rate Taking Economic Growth Rate and National Income Indices as Input Variables

2014 ◽  
Vol 1044-1045 ◽  
pp. 1721-1724
Author(s):  
Yi Ti Tung ◽  
Tzu Yi Pai
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Birth Rate ◽  
Mean Squared Error ◽  
National Income ◽  
Crude Birth Rate ◽  
Percentage Error ◽  
Economic Growth Rate ◽  
Squared Error ◽  
Input Variables

In this study, exact radial basis function (ERBF) network was used to predict Taiwan’s crude birth rate (CBR), taking the economic growth rate (EGR) and national income indices (NII) as input variables. To establish the ERBF network model, the EGR and NII were taken as the input variables, and the CBR was taken as the output variable. The results indicated that the minimum mean absolute percentage error (MAPE), mean squared error (MSE), root mean squared error (RMSE), and maximum correlation coefficient (R) was 0.00 %, 0.00, 0.00, and 1.00, respectively when training. Those for testing were 52.41 %, 27.88, 5.28, and 0.00, respectively. According to the results, ERBF network could predict CBR by taking the EGR and NII as input variables.

The Dynamics of Agricultural Contribution to Economic Growth — Comment

1992 ◽  
Vol 21 (1) ◽  
pp. 69-73
Author(s):  
Addington Coppin
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Rate Data ◽  
Average Growth Rate ◽  
Annual Average ◽  
Average Growth ◽  
Analytical Errors ◽  
Annual Average Growth Rate

This note points out several analytical errors in two recent articles by Edward Nissan on the agricultural contribution to economic growth in various economies. Inter alia, Nissan inappropriately employs annual average growth rate data, end-of-period output shares, and geometric “weights” in some of his calculations. In light of these errors, Nissan's results should, where possible, be recalculated.

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