Growth, Instability and Decomposition Analysis of Coconut in India and Tamil Nadu, Western Tamil Nadu, India: A Time Series Comparative Approach

2020 ◽  
pp. 59-66
Author(s):  
K. Kalidas ◽  
K. Mahendran ◽  
K. Akila
Keyword(s):  
Growth Rate ◽  
Tamil Nadu ◽  
Decomposition Analysis ◽  
Secondary Data ◽  
State Level ◽  
The State ◽  
Comparative Approach ◽  
Annual Growth Rate ◽  
Instability Index ◽  
Compound Annual Growth Rate

The study was undertaken to know the growth rate, instability, and contribution of area and yield on the production of coconut. The study was based on the secondary data for the period of 19 years (2001 – 2019) for India as well as Tamil Nadu. India is the leading producer of coconut globally 21.38 billion nuts and in the country, Tamil Nadu has the major share in area and production with 5.31 billion nuts. The pace of agricultural development of the country can be estimated through compound annual growth rate, instability is measured using Coppocks instability index and contribution of area and yield on production is studied using decomposition analysis. Results revealed that coconut growth is found to be positive in India as well as in Tamil Nadu, the production of coconut in the country is significantly positive (0.74 percent), but in the state, it is in decline trend (2.48 percent). The trend of productivity seems positive and similar at both the country and state level. Instability index is higher in terms of area (12.71 percent) than production (2.86 percent) and productivity (2.89 percent). Area effect was most responsible (138.2 percent  and 98.3 percent) for the production of coconut than yield effect in both the country as well as the state.

scholarly journals Growth, Instability and Decomposition Analysis of Nutri Cereals in Tamil Nadu

2021 ◽  
pp. 86-90
Author(s):  
T. Nivetha ◽  
K. Uma
Keyword(s):  
Growth Rate ◽  
Interaction Effect ◽  
Tamil Nadu ◽  
Decomposition Analysis ◽  
Secondary Data ◽  
Annual Growth ◽  
Annual Growth Rate ◽  
Instability Index ◽  
Compound Annual Growth Rate ◽  
Area Effect

Aim: The study was undertaken to know the growth rate, instability, and contribution of area and yield on the production of Nutri cereals. Place and Duration: The study was based on the secondary data for the period of 20 years (2001- 2020) for Tamil Nadu. Data has been collected from Agricultural statistics at a glance (2020), Season and Crop report (2020). Methodology: The growth rate of Nutri cereals can be estimated through compound annual growth rate, instability is measured using Coppock’s instability index and contribution of area and yield on production is studied using decomposition analysis. Results: Results revealed that Nutri cereals growth rate is found to be negative in first decade and positive in second decade Production of Nutri cereals in both the decades found positive in decline trend. The trend of productivity seems positive for both the decades at declining rate. Instability index is higher in terms of production than area and productivity. Area effect was most responsible for the production of Nutri cereals than yield and interaction effect. Conclusion: The area effect is more responsible for production of Nutri cereals. Area effect on production of Nutri cereals is high, hence government should intervene in this regard to improve the area of Nutri cereals cultivation.

Growth and instability of pineapple production in Manipur, India

2016 ◽  
Author(s):  
Ningombam Anandkumar Singh ◽  
Ram Singh ◽  
S. M. Feroze ◽  
Rajkumar Josmee Singh ◽  
P. Mercy Nesa Rani
Keyword(s):  
Growth Rate ◽  
Linear Functional ◽  
Functional Form ◽  
Secondary Data ◽  
The State ◽  
Instability Index ◽  
Log Linear ◽  
Instability Indices

The present study was undertaken to study the trends of area, production and productivity of pineapple in Manipur. The study was based on the secondary data from 2001 to 2011. To analyze the trend of area, production and productivity of pineapple in Manipur, semi log linear functional form was used. Beside these, compound growth rate and instability index was also estimated. The effect of area, production and their interaction towards increasing production were also estimated in the present study. The instability indices for area, production and productivity of pineapple crop in Manipur were positive there by indicating less risk for growing pineapple in the State.

scholarly journals Export performance and direction of trade of dried apricot from Afghanistan

2020 ◽  
Vol 11 (2) ◽  
pp. 132-136
Author(s):  
Hasibullah Mushair ◽  
D. Murugananthi ◽  
A. Rohini ◽  
R. Vasanthi
Keyword(s):  
Growth Rate ◽  
Markov Chain ◽  
Export Performance ◽  
Secondary Data ◽  
Annual Growth ◽  
Annual Growth Rate ◽  
Markov Chain Analysis ◽  
Export Markets ◽  
Compound Annual Growth Rate ◽  
Chain Analysis

Apricot is one of the most delicious refreshing and nourishing fruits. Afghanistan produces 1.09 lakh tonnes of apricot during 2018 (Afghanistan statistical year book). It is one of the important commodities in export basket of Afghanistan. The major export markets for Afghan dried apricot are India and USA. The present study aims to quantify the export performance and changing structure of dried apricot exports from Afghanistan. Secondary data on area, production and country wise quantity of exports of dried apricot was collected from FAO statistics, ITC and APEDA for a period of 13 years from 2006 to 2018. Compound Annual Growth Rate was computed for studying the trend in area, production, yield, export quantity and export value for dried apricot. Markov chain analysis was attempted to assess the direction of change in exports. Markov chain analysis results showed that, India is the stable market for Afghanistan’s dried apricot and USA is less stable markets India is the main country to import dried apricot in the next five years. It shows high value in terms of quantity and percentage which is more than 50 per cent of all Afghanistan’s dried apricot export.

scholarly journals Export Performance and Trade Direction of Fresh and Dried Grapes (Raisin): Evidence from Afghanistan

2020 ◽  
pp. 37-44
Author(s):  
Hasibullah Mushair ◽  
D. Murugananthi ◽  
A. Rohini
Keyword(s):  
Growth Rate ◽  
Markov Chain ◽  
Export Performance ◽  
Secondary Data ◽  
Annual Growth Rate ◽  
Markov Chain Analysis ◽  
Export Markets ◽  
Compound Annual Growth Rate ◽  
Dried Grapes ◽  
Chain Analysis

Grapes are one of the most delicious refreshing and nourishing fruits. Afghanistan produces 9.84 lakhtonnes of Grapes during 2018 (FAO statistics). It is one of the important commodities in the export basket of Afghanistan. The major export markets for Afghan’s fresh grapes are Pakistan and India. The major export markets for dried grapes (raisin) are India, Russia, Belarus, USA, Pakistan and UK. The present study aims to quantify the export performance and changing the structure of Grapes and raisin exports from Afghanistan. Secondary data on area, production and country-wise quantity exports of fresh and dried grapes were collected from FAO statistics, ITC and APEDA for a period of 13 years from 2006 to 2018. Compound Annual Growth Rate was computed for studying the trend in the area, production, yield, export quantity and export value for fresh and dried (raisin) grapes. Markov chain analysis was attempted to assess the direction of change in exports. Markov chain analysis results showed that Pakistan is the stable market for Afghan fresh Grapes and India and France are less stable markets. The major reasons are a geographical advantage for Pakistan which gave a competitive advantage over other countries concerning fresh grapes. India, Russia and Pakistan are stable markets for dried grapes and USA, UK, Germany and Belarus are less stable markets. India is the main country to import dried grapes (raisin) in the next five years. It shows a high value in terms of quantity and percentage which is more than 50 percent of all Afghanistan's dried grapes (raisin) export.

scholarly journals Trend analysis of area, production and productivity in pigeonpea

2021 ◽  
Vol 17 (2) ◽  
pp. 476-485
Author(s):  
M. Vennila ◽  
C. Murthy
Keyword(s):  
Growth Rate ◽  
Cultural Practices ◽  
Secondary Data ◽  
Control Measures ◽  
Positive Trend ◽  
Annual Growth Rate ◽  
Compound Annual Growth Rate ◽  
Positive Growth ◽  
Cent Level ◽  
Positive Growth Rate

The present study has been analysed the trend in area, production and productivity of pigeon pea and the instability by Cuddy Della Valle index. The study has been carried out based on secondary data and the data was collected for the periods from 2007-08 to 2018-19. Compound annual growth rate, co-efficient of variation and instability index was computed. The growth rate of area and production of pigeonpea in India showed and significant positive at 1 per cent and 5 per cent level, respectively and productivity showed insignificant positive growth rate. The growth rate of area and production of pigeonpea of Karnataka showed significant positive trend at 5 per cent level and productivity showed insignificant positive growth rate. The increase in production occurs due to increase in area as well as interactions of area and productivity of pigeonpea in the study period. Thus, there is a need to take up productivity enhancing measures in pigeonpea like varietal improvement, improved cultural practices, disease control measures and irrigation facilities. The instability indices for area, production and productivity for pigeonpea is positive which indicates less risk in growing pigeonpea in future.

scholarly journals Study the challenges and opportunities of agricultural development of Bundelkhnad Region.

2018 ◽  
Vol 33 (4) ◽  
Author(s):  
Sanjeev Kumar ◽  
Sanjay Kumar Upadhyay
Keyword(s):  
Agricultural Development ◽  
Agricultural Research ◽  
Secondary Data ◽  
State Level ◽  
Annual Growth Rate ◽  
Compound Annual Growth Rate ◽  
Agriculture Sector ◽  
Agricultural Diversification ◽  
Challenges And Opportunities ◽  
The Government

This study analyses the changes of agriculture sector in Bundelkhand region during 2000-01 to 2015-16 by using secondary data. The Compound Annual Growth Rate (CAGR) and Risk Instability Index (RII) techniques have been used to study the the ternds of agricultural development and risk in agriculture. It is found from the analysis that there are widespread variations in the area, production, productivty of crops in Bundelkhnad region. In spite of this, there is high fluctuations have been witneesed in the average productivty of the crops at regional and state level. Moreover, the agricultiral development of Bundelkhad region has been faced the instability condition due to the continious increase in crop risk. Therefor, the government should be emphasied on development of irrigation facility, agricultural diversification, expenssion of credit facility, investment on agricultural research, use of modern agricultural techinique and climatic resilient technology to achieve sutainable development of Bundelkhnmad region.

Projections and Sustainability of Biofuels in India: Lessons for Punjab

2021 ◽  
Keyword(s):  
Growth Rate ◽  
Growth Analysis ◽  
Fuel Ethanol ◽  
The State ◽  
Annual Growth ◽  
Annual Growth Rate ◽  
Compound Annual Growth Rate

This study analysed the potential and sustainability of biofuels blending in India. Thus, from the country’s potential and perspective, it has expounded the lessons for biofuels production in Punjab. Growth analysis has been computed using Compound Annual Growth Rate obtained from 2006-2013, and projections were estimated until 2025. The actual total demand of ethanol could meet onlythe 5 percent of fuel ethanol blending mandate of the country; therefore, the redistribution of total ethanol for fuel and other purposes could meet the 5 percent fuel ethanol demand. Also, Punjab could contribute its allocated share of fuel ethanol demand for meeting the country’s 5 percent blending target. However, the state could not meet the total ethanol demand as the total area required has been compromised. In biodiesel, 5 and 10 percent blending could effectively be achieved, taking the available area into concern. However, the present yield of biodiesel was insignificant, and the use of multiple feedstocks and Jatropha could meet only 0.01percent of the total blend rate.

Role of Microfinance Banks in Provision of Credit for Poverty Reduction in Pakistan

2019 ◽  
pp. 132-145
Author(s):  
Kamran Raiysat ◽  
Humaira Younas
Keyword(s):  
Growth Rate ◽  
Economic Development ◽  
Poverty Reduction ◽  
Secondary Data ◽  
Annual Growth ◽  
Annual Growth Rate ◽  
Compound Annual Growth Rate ◽  
Returns On Investment

Microfinance banks started their operations in Pakistan in 2000 and have been working over the years. This chapter mainly considers microfinance bank growth in the provision of credit for poverty reduction. Six hypotheses are developed to address the main issues under investigation in this study. Secondary data is used to calculate compound annual growth rate for the period 2011–2015. Results showed growth in microfinance banks (total assets and branch network) and provision of loans/credit (customers, gross advances, net advances and advance per customer). For better returns on investment and economic development, further investment is suggested in the same sector.

Decomposition analysis and acreage response of pigeonpea in western Vidarbha

2016 ◽  
Author(s):  
M. Vikram Sandeep ◽  
S. S. Thakare ◽  
D. H. Ulemale
Keyword(s):  
Growth Rate ◽  
Time Series ◽  
Coefficient Of Variation ◽  
Time Series Data ◽  
Decomposition Analysis ◽  
Secondary Data ◽  
Pigeon Pea ◽  
Series Data ◽  
Response Analysis ◽  
Instability Index

In the present investigation, an attempt was made to study the decomposition and acreage response of pigeonpea in western Vidarbha. The study was based on time series secondary data on the rainfall, farm harvest prices and other data, which were obtained from various Government publications. Nerlovian lagged adjustment model (1958) was used in acreage response analysis based on time series data. The study revealed that the compound growth rate for area and production under pigeon pea was recorded high during period I in all the districts. During period II, the area, production and productivity of pigeonpea registered mostly negative growth rates in all the districts. During period III, the compound growth rate for area, production and productivity under pigeonpea has increased in all the districts of western Vidarbha region. At overall period, the coefficient of variation and Coppock's instability index for area, production and productivity were high for pigeonpea in Akola district compared to other districts and coefficient of variation and Coppock's instability index for production and productivity were lowest for pigeonpea in Amravati district. At overall period, in pigeonpea, the area effect (56.61%) was most responsible factor for increasing production in Amravati division with positive yield and interaction effect i.e. 18.91 per cent and 23.75 per cent respectively.

scholarly journals Stability Analysis of Australia’s Wool Exports- A Markov Chain Model

2021 ◽  
pp. 93-100
Author(s):  
P. Soumya ◽  
R. A. Yeledhalli
Keyword(s):  
Growth Rate ◽  
Markov Chain ◽  
Markov Chain Model ◽  
Chain Model ◽  
Annual Growth Rate ◽  
Markov Chain Analysis ◽  
Instability Index ◽  
Compound Annual Growth Rate ◽  
Chain Analysis ◽  
Australian Wool

The present study is an attempt to analyse growth, instability and direction of trade of wool exports from Australia. Compound Annual Growth Rate, Cuddy-Della Valle Index and Markov chain analysis are the tools used for analysing data from 2008 to 2017. The growth rate of export in terms of quantity is negative and very low (-0.59% per annum) and the growth rate of exports in terms of value is positive (3.99% per annum). The instability index is low (2.78%) for exports in quantity terms and is medium (18.10%) for exports in value terms. China is the most stable market for export of wool from Australia with retention probability of 80.08%. The other reliable importers are Republic of Korea and Czech Republic. The study suggested the need to diversify Australian wool market. 

Sign in / Sign up

Export Citation Format

Share Document