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 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. 

Export performance of Indian Textile Industry in the Post Multi Fibre Agreement Regime

2013 ◽  
Vol 13 (3) ◽  
Author(s):  
Greeshma Manoj
Keyword(s):  
Growth Rate ◽  
Textile Industry ◽  
Export Performance ◽  
Annual Growth ◽  
Annual Growth Rate ◽  
Policy Changes ◽  
Quota System ◽  
Cotton Industry ◽  
Compound Annual Growth Rate ◽  
Textiles And Clothing

The Multi Fibre Agreement (MFA) and the quota system which governed the international trade in textiles and clothing came to an end on 1st January, 2005. The quota systems were more restrictive against cotton based fibres, which dominate India‟s textile exports. Since India has a natural comparative advantage in cotton and cotton based fibres, abolition of MFA was expected to benefit India‟s cotton industry as well as cotton based textiles and clothing sectors. This paper analyses the export performance of Indian textile industry in the post quota regime in terms of different sub sectors of Indian textiles during the period from 1992 to 2012.The entire period of the study is divided into Pre MFA (1992-2004) and Post MFA (2005-2012). Export performance has been examined in terms of annual growth rate and Compound Annual Growth Rate for the period from 1992-2012.The study finds that the textile exports have registered a strong growth rate in the post quota period (2005-2006), increasing from 2.69% in 2004-2005 to 23.14% in 2005-2006. A comparison of the different sectors of the textile export shows that all the sectors recorded an increase in the export values at different phases of the quota removal. If we compare the pre MFA growth (III Phase) and Post MFA growth (IV Phase), there has been a remarkable improvement in the export performance of all the sub sectors. Biggest gainer in the post MFA period is manmade textiles followed by cotton textiles and readymade garments. But India was not able to continue the same momentum in the succeeding years. This clearly indicates that Indian textile industry is facing so many challenges in the post quota regime. Thus, it is imperative to improve the competitiveness of our exports through policy changes, new investment and efficient supply chain management. 

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.

scholarly journals Temporal Dynamics of Rice Production and Import in Nepal

2021 ◽  
Vol 7 ◽  
pp. 97-108
Author(s):  
Samaya Gairhe ◽  
Devendra Gauchan ◽  
Krishna Prasad Timsina
Keyword(s):  
Growth Rate ◽  
Markov Chain ◽  
Temporal Dynamics ◽  
Import Substitution ◽  
Secondary Data ◽  
Temporal Changes ◽  
Rice Production ◽  
Aromatic Rice ◽  
Markov Chain Analysis ◽  
Chain Analysis

Rice is a principal food crop for ensuring national food security and improving the livelihoods of the people in Nepal. To understand and analyse temporal dynamics of rice production and import, a study was carried out by using secondary data during the period from 2009 to 2018. The objectives of the study were to analyses temporal changes and dynamics of rice production and import in Nepal. The study used  Compound growth rate and Markov chain analysis to assess the pattern of temporal changes in  production and import of rice in Nepal for the last one decade. The synthesis of the analysis is presented in both tabular and graphic forms. The results revealed that Nepal is importing rice in increasing trend and not being able to meet national demands despite some increase in rice production and productivity in the last decade. Imports of rice were found in four harmonized system codes from 18 countries and the value of rice import is mounting in recent years. In addition, Compound growth rate analysis showed that the rice import quantity and value were increasing at the rate of 24.48 and 38.11 percent per annum respectively, while production growth was hovering below less than 2% per annum. The higher growth rate of value than quantity showed that mainly import is concentrated on fine and aromatic rice. Further, the study also reveals the direction of trade using Markov chain analysis, which shows that among selected countries, two countries India and the USA were more stable rice exporters to Nepal while China, Thailand, and Italy were less stable. The study implies that import substitution can be done by increasing productivity with  increase use of high yielding hybrids and fine and aromatic rice.

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.

scholarly journals Export performance of Indian Textile Industry in the Post Multi Fibre Agreement Regime

2014 ◽  
Vol 13 (4) ◽  
pp. 63
Author(s):  
Greeshma Manoj
Keyword(s):  
Growth Rate ◽  
Textile Industry ◽  
Export Performance ◽  
Annual Growth ◽  
Annual Growth Rate ◽  
Policy Changes ◽  
Quota System ◽  
Cotton Industry ◽  
Compound Annual Growth Rate ◽  
Textiles And Clothing

The Multi Fibre Agreement (MFA) and the quota system which governed the international trade in textiles and clothing came to an end on 1st January, 2005. The quota systems were more restrictive against cotton based fibres, which dominate India’s textile exports. Since India has a natural comparative advantage in cotton and cotton based fibres, abolition of MFA was expected to benefit India’s cotton industry as well as cotton based textiles and clothing sectors. This paper analyses the export performance of Indian textile industry in the post quota regime in terms of different sub sectors of Indian textiles during the period from 1992 to 2012.The entire period of the study is divided into Pre MFA (1992-2004) and Post MFA (2005-2012). Export performance has been examined in terms of annual growth rate and Compound Annual Growth Rate for the period from 1992-2012. The study finds that the textile exports have registered a strong growth rate in the post quota period (2005-2006), increasing from 2.69% in 2004-2005 to 23.14% in 2005-2006. A comparison of the different sectors of the textile export shows that all the sectors recorded an increase in the export values at different phases of the quota removal. If we compare the pre MFA growth (III Phase) and Post MFA growth (IV Phase), there has been a remarkable improvement in the export performance of all the sub sectors. Biggest gainer in the post MFA period is manmade textiles followed by cotton textiles and readymade garments. But India was not able to continue the same momentum in the succeeding years. This clearly indicates that Indian textile industry is facing so many challenges in the post quota regime. Thus, it is imperative to improve the competitiveness of our exports through policy changes, new investment and efficient supply chain management. Keywords: Textiles and clothing, Quota removal, MFA, Export performance, Trend analysis.

Authorship Pattern and Collaboration Coefficient of Library Professional’s Competency on Research Publications During 1999-2018: A Scientometric Analysis

2019 ◽  
Vol 9 (1) ◽  
pp. 85-89
Author(s):  
Nutan Gaud ◽  
M. P. Singh ◽  
Bhoopendra Singh
Keyword(s):  
Growth Rate ◽  
Doubling Time ◽  
The United States ◽  
Annual Growth ◽  
Scientometric Analysis ◽  
Annual Growth Rate ◽  
Authorship Pattern ◽  
Relative Growth ◽  
Compound Annual Growth Rate ◽  
Scopus Database

The present study aims to analysis authorship pattern and collaboration coefficient of library professional’s competency publications research from 1999-2018. The data has been downloaded by Scopus database. A total number of published articles during the period of study was 433 in the particular database on the topic of ‘professional’s competency’. The study examine various scientometric parameter such as authorship pattern, year wise distribution of publication, determine the annual growth rate and compound annual growth rate of publication, relative growth rate and doubling time of publication and so many. After the analysis, it is found that the highest 11.78% of an article published in the year 2015. The highest growth rate in 2000 and the lowest in 1999. The United States published highest 174 article and secured first place in top five countries wish distribution of the publication. Majority of the article is published by single authors is 171 articles during the period of study.

An economic analysis of export performance of processed vegetables in India

2019 ◽  
Vol 4 (02) ◽  
pp. 182-184
Author(s):  
Boopathi Raja A ◽  
Naveen Kumar P
Keyword(s):  
Transition Probabilities ◽  
Export Performance ◽  
Secondary Data ◽  
International Markets ◽  
Export Market ◽  
Analysis Model ◽  
Export Markets ◽  
Chain Analysis ◽  
Exponential Growth Model ◽  
Double Digit

Indian processed vegetables in International markets accelerate the growth of Indian economy. Studying the changes in share of processed vegetables to different countries, improve the welfare of farmers, processers and exporters. In this regard, an attempt was made to quantify the changing structure of Indian processed vegetables exports. The main objective of the present study was to analysis the growth and the direction of trade in processed vegetables export. In this regard, secondary data, mainly quantity of processed vegetables exports from India was collected from APEDA, for a period of 1995-96 to 2017-18. Growth rates was estimated by using the exponential growth model and the Markov chain analysis model was computed through linear programming method to assess the transition probabilities for the major Indian processed vegetables export markets using Lingo Programming computer package. Accordingly, processed vegetables export market have positive double digit growth rate, UK retained 22.5 per cent, countries pooled under ‘others category’ retained 32.4 percent of share of Indian processed vegetables export. That the countries pooled under ‘others category’ and UK would be the more stable importers of the processed vegetables from India in future and country like Germany and Netherland was not found as the stable importer.

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