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Wyszukujesz frazę "compound growth rate" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Indebtedness among farmers in Haryana state, India
Zadłużenie wśród rolników w stanie Hariana w Indiach
Autorzy:
Jakhar, B.
Kait, R.
Powiązania:
https://bibliotekanauki.pl/articles/2048609.pdf
Data publikacji:
2021
Wydawca:
Akademia Bialska Nauk Stosowanych im. Jana Pawła II w Białej Podlaskiej
Tematy:
spices
area
production
productivity
compound growth rate
Opis:
Subject and purpose of work: The study aims to evaluate the growth performance of spice crops in Haryana state of India. Materials and methods: The study is based on secondary data obtained over the period of 17 years i.e., from 2001-2002 to 2017-2018. Four spice crop – ginger, turmeric, garlic and fenugreek were selected from rabi and kharif season on the basis of the largest area sown. In order to analyze the data descriptive statistics (mean and C.V.) and CGR (compound growth rate) were employed. Results: The study revealed a significant positive growth rate of 2.20%, 4.50% and 2.20% in the area, production and productivity of ginger in the district of Panchkula, respectively. In the district of Yamunanagar, a growth rate 13.80% and 10.20% was found in the area and production of turmeric. However, a negative productivity growth rate of -3.20% was also revealed. A positive growth rate 1.50%, 3.30% and 0.17% was found in the area, production and productivity of garlic in Karnal district. In the district of Yamunanagar, a growth rate for fenugreek of 7.30% and 7.60% and 13.90% in the area, production and productivity was found. The state of Haryana recorded a significant growth of 1.7%, 2.8% and 1.1% per annum in the area, production and productivity of spice crops respectively. Conclusions: The study revealed a positive growth rate across all the selected spice crops, indicating improving prospects of spice crops in Haryana state.
Źródło:
Economic and Regional Studies; 2021, 14, 3; 346-357
2083-3725
2451-182X
Pojawia się w:
Economic and Regional Studies
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Modified exponential time series model with prediction of total COVID-19 cases in Belgium, Czech Republic, Poland and Switzerland
Autorzy:
Permpoonsinsup, Wachirapond
Sunthornwat, Rapin
Powiązania:
https://bibliotekanauki.pl/articles/2108252.pdf
Data publikacji:
2022-09-14
Wydawca:
Główny Urząd Statystyczny
Tematy:
COVID-19
modified exponential time-series model
method of parameter estimation
compound growth rate
Opis:
The coronavirus (COVID-19) pandemic affected every country worldwide. In particular, outbreaks in Belgium, the Czech Republic, Poland and Switzerland entered the second wave and was exponentially increasing between July and November, 2020. The aims of the study are: to estimate the compound growth rate, to develop a modified exponential time-series model compared with the hyperbolic time-series model, and to estimate the optimal parameters for the models based on the exponential least-squares, three selected points, partial-sums methods, and the hyperbolic least-squares for the daily COVID-19 cases in Belgium, the Czech Republic, Poland and Switzerland. The speed and spreading power of COVID-19 infections were obtained by using derivative and root-mean-squared methods, respectively. The results show that the exponential least-squares method was the most suitable for the parameter estimation. The compound growth rate of COVID-19 infection was the highest in Switzerland, and the speed and spreading power of COVID-19 infection were the highest in Poland between July and November, 2020.
Źródło:
Statistics in Transition new series; 2022, 23, 3; 147-165
1234-7655
Pojawia się w:
Statistics in Transition new series
Dostawca treści:
Biblioteka Nauki
Artykuł
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