scholarly journals Determinants for Contribution of Pineapple Growers for Export Volume in Gampaha District in Sri Lanka

2016 ◽  
Vol 4 (1) ◽  
pp. 69-73
Author(s):  
R. A. D. S. Rupasinghe ◽  
H. A. S. L Jayasinghe ◽  
R. M. P. S Rathnayake ◽  
T. A. P Silva

Pineapple is the third largest agricultural product after tea and coconut, which has a demand in export market. Although the nature has blessed with an ideal climate for growing wide range of delicious fruits including pineapple, Sri Lanka is not in a position to meet the growing demand. Therefore, that is very important to study about the export performance of fresh pineapple in Sri Lankan context. The general objective of this study was to identify the determinants of contribution of pineapple growers for export volume in Gampaha district. A structured questionnaire based survey was carried out to collect the data from random sample of 130 pineapple growers in Dompe and Diulapitiya DS divisions in Gampaha district. The result of Tobit model revealed that the contribution of pineapple growers for exports of pineapple was significantly determined by the age of grower, experience of grower, pineapple cultivated land extent, amount supply for local market, domestic price and export price. In the study of specific objectives, there was an upward trend from 1990 to 2004 and trend was declined from 2004 to 2012 with some fluctuations. The reason was that the export of preserved pineapple has shown a significant improvement within last few years and in developing the forecasting model for future forecast and the generalized model for current situation analysis for fresh pineapple exports in Sri Lanka. Vector Autoregressive Model (VAR) was used to develop the forecast model and the generalized model was developed without considering the time factor. The result revealed that the export of fresh pineapple was significantly determined by the average exchange rate and the domestic price.

2015 ◽  
Vol 16 (2) ◽  
pp. 20-39
Author(s):  
Jahid Hasan ◽  
Dewan Muktadir-Al-Mukit ◽  
Farjana Islam

The paper investigates the effects of exchange rate volatility on export volume from Bangladesh to the US market by using monthly time series data over the period of 1991 to 2012. A wide range of econometric techniques have been employed to analyze the relationship between the study variables. The study reveals a stable and significant long run relationship between the variables. By employing Cointegration technique, it is observed that in the long run, a 1% increase in exchange rate that is depreciation of Taka against US dollar causes 2.32% increase in export volume. The estimated error correction coefficient indicates that 36%deviation of export data is corrected in the short run. Impulse response function of the study also affirms the positive relationship between the variables. Finally, Granger causality analysis suggests the existence of a unidirectional causality running from exchange rate to export.


Author(s):  
Vanitha Prasannath

Aims: The study aims to identify the coconut export market of Sri Lanka based on market share and market growth and to classify coconut-importing countries using BCG matrix in order to facilitate potential strategic marketing decisions. Study Design:  This is a quantitative study based on secondary data. Place and Duration of Study: This study is based on Sri Lanka’s coconut exporting sector. The secondary data were collected from 2009 to 2019 from the various annual report of Central Bank of Sri Lanka, export performance report of Export Development Board of Sri Lanka and TRADEMAP. Methodology: The data were first tabulated and then generated as graphs to display market share and growth. The Boston Consulting Group (BCG) matrix was used to classify coconut export market into four groups, namely stars, cash cows, question marks and dogs. Results: Export performance of coconut sector increased based on the export value. Similarly, the percentage share of coconut exports to the total exports increased from 3.5% to 5.5% over the last decade. United States of America (USA), Germany and the United Kingdom (UK) are significant importers of Sri Lankan coconut and coconut-based products. India, Mexico and Australia showed a growing trend in the growth of market share for coconut and coconut-based products. According to the BCG matrix, the USA is categorised under the star market, and no countries fall in the cash cow market. Sri Lankan coconut market with India, Mexico, Australia, Germany, France, Netherlands, United Arab Emirates (UAE), UK, South Korea, Italy, Canada, Japan, China, Spain and Russia fall into question mark markets. Turkey, Pakistan, Egypt and Iran are grouped into dogs market category. Conclusion: By identifying the position of the country at the BCG matrix, the coconut industry would carry out activities and projects to earn additional income and capture more world market share for coconut and coconut-based products. Policymakers should consider the position of the country while implementing related policies.


2021 ◽  
Vol 8 (1) ◽  
pp. 1861729
Author(s):  
Huyen Ngo-Thi-Ngoc ◽  
Bang Nguyen-Viet

1996 ◽  
Vol 28 (5) ◽  
pp. 783-817 ◽  
Author(s):  
L Suarez-Villa ◽  
C Karlsson

Sweden's research-intensive electronics industries have thrived by developing export-market niches that rely greatly on continuous innovation and substantial expenditures in R&D. Over the past two decades, three R&D-intensive sectors (telecommunications equipment, electronic instruments, and computing-equipment manufacturing) have experienced a progressive territorial distribution, that has made them less reliant on the metropolitan concentration of the capital for their outsourcing and research arrangements. In this article we explore the relationship between R&D intensity, territorial distribution, subcontracting, and establishment performance in the R&D-intensive electronics industries. The export performance of these industries is considered first, along with its relationship with employment characteristics and territorial location. An analysis of the territorial distribution, and its relationship with establishment downsizing and subcontracting, provides insights on the significance of lower costs and higher R&D intensity for small-scale operations. Statistical analyses of R&D intensity and performance variables that include labour skills, plant size, production costs, fixed capital assets, and profitability, with establishment-level survey data, provide important insights on the effects of subcontracting and any spatial differences resulting thereof.


Author(s):  
H. I. G. K. Anuruddi ◽  
D. L. C. K. Fonseka ◽  
W. W. U. I. Wickramaarachchi

Floriculture is a flourishing industry in Sri Lanka with a great potential in both domestic and export market. Street and mobile flower vending is a micro enterprise which is not a negligible portion of floriculture sector in the country. Present study was conducted to investigate the constraints faced by street and mobile flower vendors and to understand their willingness to adopt those challenges. Randomly selected 40 flower vendors from Galle, Matara and Hambantota districts were interviewed using a semi structured questionnaire by visiting them at their marketing sites such as streets, week fairs and “Kaprukawaruna” exhibitions conducted by Coconut Cultivation Board, Matara. According to the findings, majority of the respondents engage in the business as a full time employment and 43.3% of the vendors sell plants grown in their own nurseries. Apart from the flowering and ornamental plants, they sell fertilizers, coir dust and coconut husk pieces and product diversification has a significant impact (p=0.016) on their monthly income. Average nursery size was found to be 500ft2 where average income was noted as 200 USD. Among the vendors 70% use their own money to refinance the business. Majority of the respondents (60%) were members of different flower grower societies. Vendors (87.5%) sell their products targeting week fairs and (62.5%) sell their products beside the streets in temporary fixed huts. Not having an authorized place to market their goods was identified as the major problem by 85% of the respondents. Majority of the vendors (62.5%) were willing to expand the business while 42.5% identified this as a profitable venture to invest. According to the binary logistic regression results, age (p=0.000), education level (p=0.001), economic status (p=0.057), nursery size (p=0.004) and credit accessibility (p=0.024) were positively related with their willingness to adopt for the challenges they face. It is concluded that following key actions must be taken to strengthen the street and mobile flower vendors for their further empowerment: Provision of proper authorized sites of operation, improve the market credit and other infrastructure facilities and more training opportunities.


2018 ◽  
Vol 14 (2) ◽  
pp. 167
Author(s):  
Agnes Chaprilia ◽  
Yuliawati Yuliawati

<p><em>The purpose of this reasearch is to 1) analyze the factors that influence tea export volume of PTPN IX, 2) to know the overview of PTPN IX tea export trend and forecasting. The kind of this research is quantitative descriptive and use secondary data that sourced from related agencies and organizations. Data in form time series during 96 months from January 2010 until December 2017 are used in this research. This research use multiple linear regression and ARIMA (Box-Jenkin) as analysis technique.  Regression  analysis  result  show  tea  export  price,  coffee  price,  and exchange rate had a negative effect and significant for export volume with value R</em><em>2</em><em> i</em><em>s 0,479. Trend analysis use ARIMA shown period of tea export volume from January</em><em> 2010 until December 2017 had fluctuated and shown a downward trend.</em></p>


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