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 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 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. 

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.

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.

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. 

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.

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.

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 Structural Changes in Basmati Rice Exports from India: A Markov Chain Analysis

2021 ◽  
Vol 66 (2) ◽  
Author(s):  
Shailza S
Keyword(s):  
Markov Chain ◽  
United Arab Emirates ◽  
Structural Changes ◽  
The United States ◽  
Basmati Rice ◽  
Steady Increase ◽  
Annual Growth Rate ◽  
Markov Chain Analysis ◽  
Chain Analysis ◽  
Wide Range

Basmati rice is considered a “strategic“ agricultural export commodity from India and has consequently remained subject to a wide range of government interventions. Basmati rice is exported from India to many countries, especially to the Gulf and European countries. A steady increase in Bbasmati rice production, availability of buffer stocks, and growing demand for basmati rice in the international market made India a vital rice exporting country of the world. The present study explored the structural changes in basmati rice exports from India from 1991 to 2020. The stability in the importing partners of basmati rice from India was analyzed using first-order Markov chain analysis. The compound annual growth rate for the export quantity of basmati rice varied from 5.74 to 12.65 percent per annum. In contrast, the export value of basmati rice ranged between 4.40 to 21.06 percent per annum during the three selected decades. Further, the basmati rice export value showed higher instability than export quantity. Saudi Arabia, Iran, and the United Arab Emirates served to be the stable importers. In contrast, the United States and the United Kingdom served as the most unstable markets for Indian basmati rice according to the transitional probability matrix. Therefore, to reduce variability in exports of basmati rice, India should maintain long-term stable trading partners further to increase the export earnings.

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