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Journal articles on the topic 'Growth rate'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 June 2025

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1

Zumstein, R. C., and R. W. Rousseau. "Growth rate dispersion by initial growth rate distributions and growth rate fluctuations." AIChE Journal 33, no. 1 (1987): 121–29. http://dx.doi.org/10.1002/aic.690330114.

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2

A.D., Mahdi Atia Jubouri, and Akdad Hussain HadiAl-Nasser M. "Use Analysis of internal Growth Rate and Sustainable Growth Rate and its Relation to Performance." International Journal of Management Sciences and Business Research 11, no. 10 (2022): 88–100. https://doi.org/10.5281/zenodo.7393370.

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<em>The study aims to study the relationship between the rate of sustainable growth and internal growth rate and the improvement of the performance of the company and the degree of relationship between these variables. For this purpose, a sample of the listed companies was used in the Iraqi Stock Exchange for 22 companies for the period 2010-2017 through use of the financial statements of the sample companies. The research focused on the data related to the internal rate of return (EGR), sustainable rate of return (SGR) General revenue using analytical statistical methods and methods such as the Mann-Whitney U and Spearman correlation tests and using the SPSS statistical program. V22. Linear regression analysis was used to examine the correlation between the deviation of the actual growth rate from the sustainable growth rate, return on assets (ROA), price to book value (P / B), community ratios and rapid rate. The study showed that there is a correlation between ROA and IGR and SGR and is not significant with the general rate of return. The results also showed a relationship and impact between most operational efficiency indicators, IGR and SGR.</em>

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3

Zhang, Zhiyong, John J. McArdle, and John R. Nesselroade. "Growth rate models: emphasizing growth rate analysis through growth curve modeling." Journal of Applied Statistics 39, no. 6 (2012): 1241–62. http://dx.doi.org/10.1080/02664763.2011.644528.

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4

Kitum, Toroitich Edward, Richard Siele Dr., and Alfred Serem Dr. "Inflationary Effects, Exchange Rate and Economic Growth Rate in Kenya." Journal of Economics, Finance and Management Studies 05, no. 12 (2022): 3463–71. https://doi.org/10.5281/zenodo.7393266.

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Human civilization has always been centred on economic growth. Economic growth difficulties are the main focus of government policy and study in the modern, globalized world. Kenya's overarching goal is to become a middle-income nation that is both globally competitive and wealthy and provides its residents with a high quality of life. The Kenya Vision 2030 is the country's development strategy. Different perspectives on the relationship between inflation, exchange rate and economic growth have shown diverging results. This study's particular goals were to determine the effect of inflation and exchange rate on Kenya's economic growth using Keynesian theory. This study used explanatory research design and adopted positivism philosophy. Annual data from 1980 to 2019 giving 40 observations was used. Vector Error Correction (VECM) Model was customized in analyzing the long run and short-run contribution of macroeconomic variables and gross domestic product in Kenya. From the VECM model, R-square value was 58.62, Chi-square of 26.913 (p > Chi2 = 0.0494) showing VECM was fit for parameter estimation. The coefficient of exchange rate was -0.828 with a p-value of 0.001 while the coefficient of inflation was 0.055,p value=0.020.The findings of this study will provide good fiscal and monetary policy recommendations to the government as well as guidance on how to solve the issue of weak economic growth. Because economic growth is predicted to slow down when inflation exceeds a particular threshold, the nation must control inflation. The government should support macroeconomic policies that strengthen the stability of Kenya's exchange rate versus the major world trading currencies while aiming for an ideal level of inflation because foreign currency rates have a detrimental impact on economic growth in Kenya. 

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Dr., Mohammad Masiullah Jatoi, and Khan Safia. "Impact of Interest Rate and GDP Growth Rate on Inflation of Pakistan (Time Series Analysis From 2005-2014)." SALU-Commerce & Economics Review 1, no. 1 (2015): 39–49. https://doi.org/10.5281/zenodo.3722778.

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Inflation refers to the sustained increase in the aggregate or general price level in any economy; that fluctuates because of the different economic factors. In this study two independent variables (interest rate & GDP growth rate) and one dependent variable (inflation) is designed to examine their impact. The hypotheses regarding the impact were made to determine the significance between variables. This research work proved that there is significant impact of interest rate & GDP growth rate on inflation that’s why both hypotheses cannot be rejected. Spss-18 has been used for the interpretation of results by applying the technique of Linear Regression. Inclusively statistical results recommended that interest rate & GDP growth rate is significantly related with the inflation rate.

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6

Low, David. "Sensing growth rate." Trends in Microbiology 6, no. 3 (1998): 100. http://dx.doi.org/10.1016/s0966-842x(98)01235-9.

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7

Rafi, Kasra, and Jing Tao. "Uniform growth rate." Proceedings of the American Mathematical Society 144, no. 4 (2015): 1415–27. http://dx.doi.org/10.1090/proc/12816.

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8

Mitka, Mike. "Sustainable Growth Rate." JAMA 308, no. 6 (2012): 558. http://dx.doi.org/10.1001/jama.2012.9564.

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9

Nabergoj, Dominik, Petra Modic, and Aleš Podgornik. "Effect of bacterial growth rate on bacteriophage population growth rate." MicrobiologyOpen 7, no. 2 (2017): e00558. http://dx.doi.org/10.1002/mbo3.558.

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10

Chinedu, Obasi, and Ugo Chima. "Predicting Growth Rate of Students' Achievement in Mathematics Using Mathematical Growth Model." SJME (Supremum Journal of Mathematics Education) 2, no. 2 (2018): 44–51. https://doi.org/10.5281/zenodo.1405841.

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Students’ mathematics achievements in secondary school have an influential effect on their performance in university and their future careers. There are numerous innovative teaching strategies which are promising and have shown to improve students’ achievement in mathematics; one will wonder if there will be corresponding achievement growth in mathematics. Therefore, this paper predicts growth rate of students’ achievement in mathematics using mathematical growth model. A developmental survey design was employed where students’ WAEC mathematics achievement results from 1991-2016 were collected from the Development Division, West African Examination Council (WAEC) Lagos, Nigeria. The Logistic growth mathematical model was used to compute predicted achievement growth rate. The Statistical Package for Social Sciences (SPSS) was also used to plot the graph of the achievement data from 1991 to 2016. The result indicates that the predicted growth rate of students’ achievement in mathematics is approximately increased by 25.3% per year. This shows a weak upward trend in predicted rate of achievement at credit level and consequently indicates unsteady sustainability in mathematics achievement as well as economic growth. It is recommended among others that there should be investigation into factors responsible for the weak and unsteady achievement growth in WAEC general mathematics in Nigeria. Also, effective teaching and learning of mathematics at all levels of schooling should be ensured by all concerned in other to sustain the achievement growth in the subject.

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11

Mr., K. S. Gaikwad. "India's Population Growth as a Problem: A Geographical Analysis." International Journal of Advance and Applied Research 3, no. 8 (2022): 69–72. https://doi.org/10.5281/zenodo.7512351.

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The "early development" of western countries was largely influenced by a number of factors, one of which was population growth. Increased population provided more hands to work and more money to spend on newly manufactured goods. Beyond a certain extent, however, the extra burdens our economy's finite resources, especially in the case of developing nations. In terms of population size, India is the second-largest nation in the world. India's rapidly growing population is a result of our nation's high birth rates currently in place and sharply declining death rates. This study examines the elements that contribute to India's high birth rate and declining mortality rate in order to highlight the country's demographic challenge.

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12

Muraoka, Michihiro, Malcolm A. Kelland, Yoshitaka Yamamoto, and Kiyofumi Suzuki. "Critical Growth Rate of Hydrate Crystal Growth Inhibitors in the Low Growth Rate Region." Crystal Growth & Design 21, no. 9 (2021): 4979–85. http://dx.doi.org/10.1021/acs.cgd.1c00421.

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13

Al-Janabi, Dr Saad Majeed. "FINANCIAL EFFICIENCY AND ITS IMPACT ON SUSTAINABLE GROWTH RATE." American Journal Of Social Sciences And Humanity Research 4, no. 6 (2024): 151–87. http://dx.doi.org/10.37547/ajsshr/volume04issue06-25.

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This research aims to know and measure the effect of financial efficiency in its dimensions (as an independent variable) on the rate of sustainable growth (as a dependent variable , the research provides a cognitive and applied framework through which it shows the relationship between these two variables, as a sample consisting of (9) Iraqi industrial companies listed in Iraq Stock Exchange, for the period (2013-2022). The research problem was raised in a number of questions, including: Can financial efficiency, in its dimensions, increase the sustainable growth rate in the companies in the research sample, and what is the level of both financial efficiency and the sustainable growth rate in the companies in the research sample, and reliance was placed on financial measures and statistical programs such as ( (SPSS) and (Excel), to answer these questions, test hypotheses, and analyze the relationship between these variables. The research reached a number of conclusions, the most important of which is that there is a statistically significant effect and correlation of financial efficiency with its indicators on the sustainable growth rate of the companies in the research sample, and this was confirmed by testing the research hypotheses. Through the program (SPSS.V.26) and relying on standard multiple linear regression for the research variables, this is consistent with the research hypotheses, and in light of the conclusions, the research reached a set of recommendations, the most important of which is: Companies must rely on their own resources from property rights more than borrowing to achieve a sustainable growth rate. Which helps it continue to compete strongly in the markets.

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14

Latov, Yury V. "Human Capital Growth Contra Birth Rate Growth." Journal of Institutional Studies 13, no. 2 (2021): 082–99. http://dx.doi.org/10.17835/2076-6297.2021.13.2.082-099.

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The necessity of a systemic reboot of the Russian policy of supporting families with children is substantiated, so that the orientation towards the growth of the population of Russia is replaced by the orientation towards increasing the human capital of future Russian workers. The new concept of family policy is based on the adaptation to Russian conditions of some of the basic principles of the policy of birth control in the PRC. The main idea is the need to differentiate fertility incentives for different social groups. They should be the highest for families of specialist workers (professionals), where the spouses have a high education and middle class income. To stimulate the birth and upbringing of children, it is proposed to use not only monetary incentives for the family, based on the scoring of the characteristics of parents, but also stimulation of free time by expanding womenʼs distance employment and pension benefits for «good» adult children. The proposed comprehensive concept is the result of the systematic use of many institutional theories – post-industrial society, modernization, human capital, Maslowʼs pyramid, etc.

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15

Judge, Russell A., Elizabeth L. Forsythe, and Marc L. Pusey. "Growth Rate Dispersion in Protein Crystal Growth." Crystal Growth & Design 10, no. 7 (2010): 3164–68. http://dx.doi.org/10.1021/cg1002989.

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16

Short, Ben. "Assessing actin’s growth rate." Journal of Cell Biology 208, no. 5 (2015): 499. http://dx.doi.org/10.1083/jcb.2085fta.

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17

Kapickis, Martins. "RATE OF FINGERNAIL GROWTH." Plastic and Reconstructive Surgery 112, no. 5 (2003): 1501. http://dx.doi.org/10.1097/01.prs.0000080586.85689.b3.

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18

Kakwani, Nanak, and Hyun H. Son. "POVERTY EQUIVALENT GROWTH RATE." Review of Income and Wealth 54, no. 4 (2008): 643–55. http://dx.doi.org/10.1111/j.1475-4991.2008.00293.x.

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19

Hansen, Lars Peter, and José A. Scheinkman. "Pricing growth-rate risk." Finance and Stochastics 16, no. 1 (2010): 1–15. http://dx.doi.org/10.1007/s00780-010-0141-9.

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20

Tesner, P. A. "Soot particle growth rate." Combustion, Explosion, and Shock Waves 29, no. 1 (1993): 47–50. http://dx.doi.org/10.1007/bf00755328.

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21

Adnan, Nazeli, Muhammad Teguh, Imam Asngari, and Deassy Apriani. "Indonesia's Economic Growth Rate." Oblik i finansi, no. 2(96) (2022): 143–51. http://dx.doi.org/10.33146/2307-9878-2022-2(96)-143-151.

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Economic growth can be a benchmark for a country's welfare and play a role as a determinant and direction for future development. This study aims to analyze the factors that influence the economic growth of 6 islands in Indonesia (Sumatra, Java, Bali and Nusa Tenggara, Borneo, Sulawesi, Maluku and Papua). The following factors were selected for analysis: government expenditure, non-oil and gas exports, investment, population, and the number of workers. This study used secondary data from publications by Bank Indonesia, the Central Statistics Agency (BPS), the Investment Coordinating Board, the World Bank, and other relevant institutions. The collected data covers the period from 2011 to 2020. This study used quantitative descriptive analysis methods with panel data regression analysis. The results of the regression of panel data show that variables of government spending, investment, and non-oil and gas exports did not have a significant influence on economic growth. In contrast, the number of people and the number of workers significantly influenced the economic growth of 6 islands in Indonesia during the analyzed period. The island with the highest economic growth rate is Sulawesi Island, while Borneo Island has the lowest economic growth rate among the six islands in Indonesia. The development of government spending and the highest value of non-oil and gas exports were led by Jawa Island, while the lowest value came from Bali and Nusa Tenggara islands. In addition, due to the rapid development of the population and becoming an industrial centre area, Jawa Island also has the highest investment development, a dense population and the most labour compared to other islands. Meanwhile, the opposite condition occurs in Maluku Island and Papua.

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22

Tavare, N. S. "Crystal growth rate dispersion." Canadian Journal of Chemical Engineering 63, no. 3 (1985): 436–42. http://dx.doi.org/10.1002/cjce.5450630312.

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23

Pritchett, C. J., S. Y. Coleman, and A. Fiennes. "Growth rate of tumours." British Journal of Surgery 75, no. 6 (1988): 619. http://dx.doi.org/10.1002/bjs.1800750637.

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24

Rastogi, Ananya. "Estimating cell growth rate." Nature Computational Science 3, no. 8 (2023): 666. http://dx.doi.org/10.1038/s43588-023-00505-3.

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25

Mydlarz, J., and D. Briedis. "Growth rate dispersion vs size-dependent growth rate for MSMPR crystallizer data." Computers & Chemical Engineering 16, no. 9 (1992): 917–22. http://dx.doi.org/10.1016/0098-1354(92)80042-8.

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26

Rojkowski, Zbigniew H. "Crystal growth rate models and similarity of population balances for size-dependent growth rate and for constant growth rate dispersion." Chemical Engineering Science 48, no. 8 (1993): 1475–85. http://dx.doi.org/10.1016/0009-2509(93)80053-s.

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27

Dr., Shivaji C. Nagpure, A. R. Mhaske Dr., and S.D.Kokate. "Trade Performance of Banana in India." International Journal of Research and Review 6, no. 5 (2019): 113–23. https://doi.org/10.5281/zenodo.3989344.

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The banana sector in India is quite different from that of the other major producing countries like China, Indonesia, Brazil, Philippines and Ecuador who mainly export banana. Apart from being the major producer India is also the major consumer of banana. Demand for banana is most evenly distributed over the years because of high production, suitable environment for the growth of banana. Hence, the present study explores the trade performance of banana in India (from 1995-96 to 2014-15) using by compound growth rate and Cuddy Della instability index and also workout the NPC for competitiveness. The import of banana has been decreasing as compared to banana export with the growth rate of 8.35 per cent level in the overall study period. It is due to the effective and large production of banana. The growth rate of banana export from India in quantity was found significantly positive with 20.37 per cent for the second period (2005-06 to 2014-15) while significantly positive growth of 16.10 per cent was seen during the overall period (1994-95 to 2014-15) under the study. The growth rate of banana in; area, production and productivity were found to be increasing. The growth rate in area and production of banana was 3.70 and 5.01 per cent respectively. The growth in productivity was found to be non-significant with 2.00 per cent over the study period. The productivity of banana showed negative growth rate with -0.15 per cent in the first period (1994-95 to 2014-15) while positive growth rate of 1.60 per cent was found during the overall study period (1994-95 to 2014-15).The growth rate of area under banana in major banana producing states was estimated highest in Gujrat with 5.70 per cent followed by other banana producing states, Karnataka, Tamil Nadu, Maharashtra with the CGR of 4.67, 3.92, 3.13 and 1.99 respectively. The Compound Growth rate of production under banana was estimated higher in Gujarat with 10.23 per cent followed by other states, Karnataka, Maharashtra and Tamil Nadu with growth rate of 5.00 per cent, 2.52 per cent, 2.3 per cent and 1.94 per cent respectively. The growth rate of productivity of major banana producing state is higher in other non-listed states with 6.20 per cent followed by Gujarat, Maharashtra and Tamil Nadu with 4.48 per cent, 3.88 per cent and 1.12 per cent respectively. The negatively growth rate in the state of Karnataka with growth rate of -1.60 per cent. The growth rate of banana import was found to be high and positively significant during all the periods. The high growth rate in import was found during the first period with 8.76 per cent under the study. It is concluded from the NPC analysis that the export competitiveness of banana has been increasing over the years i.e. there is an export advantage.  

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28

NANJAN, VENUGOPAL. "An effective governance by India for improving the literacy rate, inflation rate and GDP growth rate by reducing the unemployment rate - A comprehensive study." International Journal of Research Publication and Reviews 5, no. 4 (2024): 3250–52. http://dx.doi.org/10.55248/gengpi.5.0424.1012.

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29

Tica, Josip, Viktor Viljevac, and Matija Matić. "Employment rate and economic growth: The case of transition countries." Zbornik radova Ekonomskog fakulteta u Rijeci: časopis za ekonomsku teoriju i praksu/Proceedings of Rijeka Faculty of Economics: Journal of Economics and Business 41, no. 1 (2023): 9–39. http://dx.doi.org/10.18045/zbefri.2023.1.9.

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This paper investigates the effects of the employment rate on economic growth during the transition process. We start with the mainstream growth econometrics approach that controls for convergence and, in order to control for heterogeneity of countries in our sample, we control our estimates for transition-specific indicators such as initial conditions (pre-transition history), governance quality, privatisation methods as well as various indicators of institutional development. We use a wide range of model specifications using fixed effects as well as Bayesian averaging to address the problem of model uncertainty in 24 countries during the 1995-2019 period. Contrary to the neoclassical growth model assumptions, we find that the employment rate is one of the most important growth factors even after three decades. Results also indicate that convergence (initial level of development) robustly explains a part of cross-country growth rate differentials, while the effects of the initial conditions (pre-transition history) are robust, but fade out after the first decade. We do not find evidence that physical capital and population growth explain the growth in our sample.

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30

Shama, Noreen, Azeem Amara, Iftikhar Iqra, and Shahbaz Sadia. "Effect of Macroeconomic Variables on the Economic Growth of Pakistan." International Journal of Advance Study and Research Work 1, no. 6 (2018): 01–08. https://doi.org/10.5281/zenodo.1441140.

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<strong><em>The point of this paper is to look at the effect of macroeconomic factors includes inflation rate, interest rate, exchange rate, and export rate on economic growth of Pakistan. The optional information has been taken for the years from 1968 to 2017. The result from linear regression model explains that inflation rate spread negative and insignificant impact on Pakistan economic growth while both interest rate and exchange rate spread negative and significant impact on Pakistan economic growth and export spread positive and significant impact on Pakistan economy. Therefore, all factors having less effect on the monetary development of the nation as a contrast with different elements which put a genuine effect on Pakistan economy condition. </em></strong>

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31

Mehrara, Esmaeil, Eva Forssell-Aronsson, Håkan Ahlman, and Peter Bernhardt. "Specific Growth Rate versus Doubling Time for Quantitative Characterization of Tumor Growth Rate." Cancer Research 67, no. 8 (2007): 3970–75. http://dx.doi.org/10.1158/0008-5472.can-06-3822.

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32

Załachowski, Włodzimierz, and Irena Krzeptowska. "Growth rate of roach, Rutilus rutilus (L.) in Lake Dąbie." Acta Ichthyologica et Piscatoria 25, no. 1 (1995): 3–18. http://dx.doi.org/10.3750/aip1995.25.1.01.

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33

Waktola, Belay Adugna, Devi L. Prabha, V. Sreenivasa, and Aschalew Lakew. "A Study on the Profitability of Fish and Horticrop Integrated Farming at Nono District, West Shoa Zone, Ethiopia." Greener Journal of Agricultural Sciences 6, no. 2 (2016): 041–48. https://doi.org/10.15580/GJAS.2016.2.112415163.

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The study on integration of tilapia and vegetable cultivation was conducted at Silkamba, in west shoa zone, Ethiopia. The Nile tilapia fingerlings were stocked (3/m<sup>2</sup>) in an earthen pond fertilized with cow dung and poultry excreta at 3:1 ratio. A control pond was maintained without fertilization. The seedlings of the tomato (Cochoro variety) and onion (Bombay red) were planted on twelve plots prepared adjacent to the ponds. The seedlings on six treatment plots were grown by addition of the fertilized fish pond water and control plants were supplied with the control pond water. Physico-chemical parameters like dissolved oxygen, pH, carbon dioxide, alkalinity and nitrate in the treatment pond remained within the required level for the growth of Nile tilapia. The water temperature was comparatively high which was more suitable for the production of fish food organisms as well as the fish growth in the pond. The level of nitrate and total phosphorus in the treatment pond was at the suitable level which enhanced the growth of plankton and benthic organisms in the pond. The bottom soil in the treatment pond showed comparatively high level of organic carbon and organic matter than the control pond.  The number of tomato fruit and their size were higher in the treatment plots. Similarly the yield of onion from the treatment plots was higher than the control plot. The total yield of fish from the treatment was 27.22kg. The results on the analysis of expenditure and income indicated that the integration of vegetable cultivation using fish pond water alone was more profitable than the conventional method of vegetable cultivation with the application of fertilizer.

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34

David, Togar Hutagaol, Tarmizi H.B, and Daulay Murni. "An Analysis on the Influence of Population Growth Rate, Economic Growth, Human Development Index, Income Distribution, and Unemployment Rate toward Poverty in All Provinces in Indonesia." International Journal of Research and Review 6, no. 1 (2019): 100–108. https://doi.org/10.5281/zenodo.3984780.

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This research aims to analyze the influence of population growth rate, economic growth, human development index, income distribution, and unemployment rate toward poverty in all provinces in Indonesia. This research used multiple linear regression model which processed with SPSS. All variables, such as population growth rate, economic growth, human development index, income distribution, and unemployment rate are in form of secondary data, which further proxied with Gini Ratio and unemployment rate in all provinces in Indonesia within 2016. The included data are in form of cross section data. The results show that population growth rate (0,015), economic growth (0,00), human development index (0,035), income distribution (0,01), and unemployment rate (0,00) are simultaneously influencing the poverty in all provinces in Indonesia, significantly

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35

Charles, O. Aronu, O. Ekwueme Godspower, A. Bilesanmi Olasunkanmi, and T. Arowolo Olatunji. "The Nexus Between Some Selected Macroeconomic Variables on Growth Output in Nigeria: An Autoregressive Distributed Lag (ARDL) Approach." Economics and Business Quarterly Reviews 5, no. 4 (2022): 256–62. https://doi.org/10.31014/aior.1992.05.04.474.

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Macroeconomics remains an evolving science, but the goals of macroeconomic policy are consistent around the world. These include price stability, currency stability, unemployment, the balance of payments, and growth output. This study X-rayed the link between Real Gross Domestic Product (RGDP) which was considered a measure of growth output, Exchange Rate (EXR), Inflation Rate (IFR) and Money Supply (M2) for the current republic in Nigeria. The objectives of the study include: examining the short-run and long-run impact of growth output (RGDP) on EXR, IFR and M2 in Nigeria. A secondary source of data collection was employed for the study. The tools employed for data analysis include the Augmented Dickey-Fuller (ADF) test, Jarque-Bera test, Autoregressive Distributed Lag (ARDL) Co-integration technique, and the error correction parameterization of the ARDL model. The result of the Jarque-Bera test showed that the variables were approximately normally distributed. The findings showed that growth output (RGDP) was cointegrated with EXR, IFR and M2 and the existence of a long-run relationship amongst the variables. The study concludes that while seeking to foster economic growth, Nigerian banks should commit to their mandate of price stability and improve their regulatory framework to ensure a strong financial sector with effective intermediation.

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36

Blomberg, Anders. "Measuring growth rate in high-throughput growth phenotyping." Current Opinion in Biotechnology 22, no. 1 (2011): 94–102. http://dx.doi.org/10.1016/j.copbio.2010.10.013.

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37

Ferreira, Cecília, Fernando A. Rocha, Ana M. Damas, and Pedro M. Martins. "On growth rate hysteresis and catastrophic crystal growth." Journal of Crystal Growth 368 (April 2013): 47–55. http://dx.doi.org/10.1016/j.jcrysgro.2013.01.016.

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38

Campbell, T. A., and J. N. Koster. "Growth Rate Effects during Indium-Antimony Crystal Growth." Crystal Research and Technology 34, no. 3 (1999): 275–83. http://dx.doi.org/10.1002/(sici)1521-4079(199903)34:3<275::aid-crat275>3.0.co;2-i.

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39

Salman, Hanna. "Bacterial Growth: Cell-Cycle Dependent Growth-Rate Homeostasis." Current Biology 30, no. 12 (2020): R703—R704. http://dx.doi.org/10.1016/j.cub.2020.05.001.

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40

Ihenetu, Hyginus I., and M. G. Gbomor. "The Nexus between Interest Rate and the Growth of Manufacturing Sector in Nigeria." Global Journal of Research in Business Management 3, no. 3 (2023): 1–9. https://doi.org/10.5281/zenodo.7951375.

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The work examined the effect of interest rate on the growth of manufacturing sector in Nigeria. Time series data were unruffled from CBN statistical bulletin for the period of forty one (41) years. The researchers employed expost facto design for the study. To stationarized the data, unit root test was used. Ordinary least square multiple regression was applied for the analysis. The findings showed that saving rate and maximum rate had no significant effect on the growth of the manufacturing sector where as prime rate had negative significant effect on the growth of the manufacturing sector at 5 percent level of significance within the period considered. The researchers based on the findings, recommend that government should reduce the maximum rate to a single digit so as to increase the growth of the manufacturing sector in Nigeria, government should sustain the prime rate because of its contribution to the growth of the manufacturing sector in Nigeria etc.  

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41

Fina, Silfiani, and Febyansyah Andar. "Effect of Inflation, Economic Growth, and Tax Rates on Tax Ratios in Asian Countries in the Period 2015-2020." International Journal of Current Science Research and Review 05, no. 03 (2022): 781–94. https://doi.org/10.5281/zenodo.6381584.

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<strong>ABSTRACT:</strong> This research was conducted to analyze the Effect of Inflation, Economic Growth, and Tax Rates on Tax Ratios in ASEAN Countries either partially or simultaneously. The sampling method is purposive sampling. This study used 7 ASEAN countries with a sample number of 42 data. This type of data is secondary data sourced from World Bank and OECD data. The data analysis method used is multiple linear regression analysis. The findings of this study are based on the results of the t-test, it can be concluded that partial inflation has a negative effect on the tax ratio in ASEAN countries in the period 2015-2020. Partial economic growth and tax rates have no effect on the tax ratio in ASEAN Countries in the period 2015-2020. Based on the results of the F test it was concluded that Inflation, Economic Growth, and Tax Rates simultaneously have a significant effect on the tax ratio in ASEAN Countries in the period 2015-2020.

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Thirlwall, A. P. "The Relation between the Warranted Growth Rate, the Natural Rate, and the Balance of Payments Equilibrium Growth Rate." Journal of Post Keynesian Economics 24, no. 1 (2001): 81–88. http://dx.doi.org/10.1080/01603477.2001.11490316.

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Firsching, Raimund P., Anette Fischer, Reinhard Peters, Frank Thun, and Norfrid Klug. "Growth rate of incidental meningiomas." Journal of Neurosurgery 73, no. 4 (1990): 545–47. http://dx.doi.org/10.3171/jns.1990.73.4.0545.

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✓ A meningioma was incidentally identified with computerized tomography (CT) in 17 patients without relevant clinical signs. The tumor was not removed, but biopsy confirming a meningioma was obtained from one patient. Tumor growth rate was calculated from repeat CT scans or follow-up magnetic resonance imaging. The annual growth rate ranged from less than 1% to 21%. It is concluded that in nonsymptomatic meningiomas with a low growth rate a nonsurgical approach may be warranted.

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44

Felikson, Anna, Michael Shapiro, Hugh Thomas, and Pavel Tumarkin. "Growth rate of cluster algebras." Proceedings of the London Mathematical Society 109, no. 3 (2014): 653–75. http://dx.doi.org/10.1112/plms/pdu010.

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45

Taouli, Bachir, Jeffrey S. K. Goh, Ying Lu, et al. "Growth Rate of Hepatocellular Carcinoma." Journal of Computer Assisted Tomography 29, no. 4 (2005): 425–29. http://dx.doi.org/10.1097/01.rct.0000164036.85327.05.

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46

Dorman, Todd. "Unsustainable growth rate: Physician perspective." Critical Care Medicine 34, Suppl (2006): S78—S81. http://dx.doi.org/10.1097/01.ccm.0000199987.65854.0b.

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47

Altinay, Galip. "On measuring average growth rate." Applied Economics 36, no. 6 (2004): 637–44. http://dx.doi.org/10.1080/0003684042000217670.

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BENJAMIN, L. R., and R. C. HARDWICK. "Variation in relative growth rate." Annals of Botany 58, no. 6 (1986): 765. http://dx.doi.org/10.1093/oxfordjournals.aob.a087253.

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49

Craft, AW. "Growth rate of Wilms' tumour." Lancet 354, no. 9184 (1999): 1127. http://dx.doi.org/10.1016/s0140-6736(05)76925-7.

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Paldor, Iddo, Annie S. Chen, and Andrew H. Kaye. "Growth rate of vestibular schwannoma." Journal of Clinical Neuroscience 32 (October 2016): 1–8. http://dx.doi.org/10.1016/j.jocn.2016.05.003.

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