Returns to Factors of Production and Total Factor Productivity in Coconut Plantations in Sri Lanka

Abeysekara, M. G. D.; Prasada, D. V. P.

doi:10.4038/tar.v32i1.8442

Cited by 3 publications

(4 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The reasons for the diminishing growth of the coconut sector may be the reason of lack of research and development; poor infrastructure; and problems with technology transfer resulting from inputs used in stage III of production and the technological frontier has not expanded. This study's results are consistent with Sri Lanka's food manufacturing industry -0.61% [23] and inconsistent with the rate of growth of TFP recorded for coconut in Kerala at 0.051%, a study conducted for the period 1980-81 to 2004-05 [29] , for coconut in the Philippines at 1.52% [30], and the most recent study conducted by [30] for the Sri Lankan coconut plantation sector, indicating that large-scale plantations have positive TFP growth of 0.083%. Smallholders are more responsible for the negative TFP growth.…”

Section: Tfp Growth In Coconut Sectorsupporting

confidence: 87%

“…The study also concluded that there has to be a significant improvement in national data collection to have more reliable indicators of TFP growth trends in the building industry and the overall construction industry. Swarnathilake, C, Weerahewa, J and Bandara, Y. M. [23] , estimated the food manufacturing industry growth from 1978 -2014 by adopting the Cobb -Douglas production function framework and found that the growth is -0.61%.…”

Section: Tfp Growth In Specific Sub-sectors In Sri Lankamentioning

confidence: 99%

See 1 more Smart Citation

Estimating Total Factor Productivity Growth in the Sri Lankan Coconut Sector

Samarakoon,

Weerahewa,

Gunaratne

2023

View full text Add to dashboard Cite

The stagnant nature of Sri Lankan national coconut production over many decades has been an issue in fulfilling the ever-increasing demand for domestic coconut consumption and industry. Thus, this study aims to address the question of the driving forces of total coconut production growth. This study identifies the sources of Sri Lankan coconut sector growth from 1985 to 2019 by calculating the Total Factor Productivity (TFP) growth by administering a log-transformed Cobb–Douglas production function and decomposed the results using a data set sourced from various government publications. According to the findings of the study, the average TFP growth of the coconut sector in Sri Lanka for the period 1985-to 2019 has been -1.1%, whereas it was -0.1% and -1.9% during the two sub-periods; 1985-2000 Sub-period I, 2001-2019 Sub-period II, respectively. Therefore, it is evident that the negative growth of the TFP is mostly driven by the high negative growth in the post -2000 period. These findings will help to formulate future growth policies in coconut sector of Sri Lanka.

show abstract

Section: Tfp Growth In Coconut Sectorsupporting

confidence: 87%

Section: Tfp Growth In Specific Sub-sectors In Sri Lankamentioning

confidence: 99%

Estimating Total Factor Productivity Growth in the Sri Lankan Coconut Sector

Samarakoon,

Weerahewa,

Gunaratne

2023

View full text Add to dashboard Cite

show abstract

“…In the interactive system of cross-border e-commerce trade and industrial clusters, in addition to the cross-border e-commerce trade subsystem, industrial cluster subsystem, production factors and product subsystems and other subsystems, there is also an external environment subsystem. This is mainly because in the process of interaction between the cross-border e-commerce trade and industrial clusters, it will still be affected and acted upon by various factors in the external environment, and even play a boosting or restricting role [46]. Specifically, the external environment subsystem includes the policy environment, social environment, economic environment, technical environment, emergencies and so on.…”

Section: Analysis Of Componentsmentioning

confidence: 99%

Cross-Border E-Commerce Trade and Industrial Clusters: Evidence from China

et al. 2022

View full text Add to dashboard Cite

Combining the theories of cross-border e-commerce trade, industrial cluster management, coordinated development, and sustainable development, this paper explores the problem of the coordinated development path of China’s cross-border e-commerce trade and industrial clusters. The research purpose of this paper is to propose relevant suggestions to promote the sustainable coordinated development of cross-border e-commerce trade and industrial clusters by revealing the inherent scientific laws of the sustainable coordinated development of them. By using a literature survey method, structural equation method, and system analysis method, on the basis of constructing a model for the coordinated development of cross-border e-commerce trade and industrial clusters, this paper conducts in-depth empirical analysis combined with relevant research data and draws research conclusions. The research conclusions of this paper are as follows: (1) This paper verifies all the research hypotheses proposed. All the research hypotheses proposed in this paper are supported by valid data and have passed the empirical test. (2) Using data to scientifically prove that there is an obvious positive correlation between cross-border e-commerce trade and industrial clusters. (3) There is an obvious positive interaction between the main components of cross-border e-commerce trade and the main components of industrial clusters. Moreover, under the influence of the external environment, the two component systems can also promote the sustainable coordinated development of cross-border e-commerce trade and the sustainability of industrial clusters. (4) This paper puts forward countermeasures and suggestions to promote the sustainable coordinated development of cross-border e-commerce trade and industrial clusters.

show abstract

“…Because, the stochastic frontier approach was recommended for agricultural applications (Coelli 1995a, b;Ferrara and Vidoli 2017). Many earlier studies have used the same approach for TFP analysis (Abeysekara and Prasada, 2021;Alam et al, 2011;Arazmuradov et al, 2014;Coelli et al, 2003;Hayatullah, 2017;Kim, 2010;Kim andHan, 2001 andShahabinejad et al, 2013). The stochastic frontier production function for panel data can be written as:…”

Section: Methodsmentioning

confidence: 99%

Total Factor Productivity, Efficiency, and Technical Change in Large Scale Tea Estates in Sri Lanka

Ranjan

Edirisinghe

Herath

et al. 2021

Sri Lankan J Agric Econ

View full text Add to dashboard Cite

This paper applied a stochastic frontier model to measure total factor productivity growth, technical efficiency change, and technical change in tea production in the estate sector in Sri Lanka. Monthly data from 35 tea estates relating to the period 2005 to 2019 were used. Two functional forms with two distributional assumptions were tested. A Translog production frontier with the inefficiency term distributed as a truncated normal distribution was found to be the best fit for data. Results revealed that on average estate sector tea production operates 48% below the potential output indicating possibilities of increasing performance without any significant changes in inputs. Further, the overall rate of technical progress was estimated at 0.002 percent per year. The overall rate of technical efficiency change declined by 0.013 percent per year. The combined effect of slow technical progress, dominated by the fall in technical efficiency resulted in the decline in the total factor productivity in the corporate tea sector at a rate of 0.002 percent per year. This net effect of declining Total Factor Productivity raises concerns about the sustainability of the tea sector in Sri Lanka in the long run. Policies to shift up the production frontier and improvements in managerial practices to combat declining efficiency levels are recommended.

show abstract

Returns to Factors of Production and Total Factor Productivity in Coconut Plantations in Sri Lanka

Cited by 3 publications

References 16 publications

Estimating Total Factor Productivity Growth in the Sri Lankan Coconut Sector

Estimating Total Factor Productivity Growth in the Sri Lankan Coconut Sector

Cross-Border E-Commerce Trade and Industrial Clusters: Evidence from China

Total Factor Productivity, Efficiency, and Technical Change in Large Scale Tea Estates in Sri Lanka

Contact Info

Product

Resources

About