The Assessment of Implementing Conventional Cotton: A Regression Analysis of Meta-Data

Julian Witjaksono; Dahya; Asmin

doi:doi:10.11648/j.ajaf.20160402.11

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The Assessment of Implementing Conventional Cotton: A Regression Analysis of Meta-Data

Julian Witjaksono, Dahya, Asmin

Published in American Journal of Agriculture and Forestry (Volume 4, Issue 2)

Received: 8 March 2016 Accepted: 16 March 2016 Published: 31 March 2016

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Abstract

This paper investigated the effects of implementing conventional cotton using meta data as the global scope from developed countries (America and Australia) and developing countries (India and China). The data base collected individual studies from more than one decade of field trials and survey. More specifically, the global effects of conventional cotton on crop yields, seed costs, pesticide costs, management and labor costs, and finally net returns were analyzed. Regression analysis was conducted to investigate and estimate the relationship between response variable and explanatory variables on these parameters. The results indicated that yield gain is the high expectation of cotton growers to optimize the net return and a strong positive correlation between yield and net return indicates that increased yield of using conventional cotton leads to higher revenue of cotton grower.

Published in	American Journal of Agriculture and Forestry (Volume 4, Issue 2)
DOI	10.11648/j.ajaf.20160402.11
Page(s)	10-14
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Dependent, Economics, Independent, Indicators, Revenue

References

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APA Style

Julian Witjaksono, Dahya, Asmin. (2016). The Assessment of Implementing Conventional Cotton: A Regression Analysis of Meta-Data. American Journal of Agriculture and Forestry, 4(2), 10-14. https://doi.org/10.11648/j.ajaf.20160402.11

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ACS Style

Julian Witjaksono; Dahya; Asmin. The Assessment of Implementing Conventional Cotton: A Regression Analysis of Meta-Data. Am. J. Agric. For. 2016, 4(2), 10-14. doi: 10.11648/j.ajaf.20160402.11

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AMA Style

Julian Witjaksono, Dahya, Asmin. The Assessment of Implementing Conventional Cotton: A Regression Analysis of Meta-Data. Am J Agric For. 2016;4(2):10-14. doi: 10.11648/j.ajaf.20160402.11

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@article{10.11648/j.ajaf.20160402.11,
  author = {Julian Witjaksono and Dahya and Asmin},
  title = {The Assessment of Implementing Conventional Cotton: A Regression Analysis of Meta-Data},
  journal = {American Journal of Agriculture and Forestry},
  volume = {4},
  number = {2},
  pages = {10-14},
  doi = {10.11648/j.ajaf.20160402.11},
  url = {https://doi.org/10.11648/j.ajaf.20160402.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20160402.11},
  abstract = {This paper investigated the effects of implementing conventional cotton using meta data as the global scope from developed countries (America and Australia) and developing countries (India and China). The data base collected individual studies from more than one decade of field trials and survey. More specifically, the global effects of conventional cotton on crop yields, seed costs, pesticide costs, management and labor costs, and finally net returns were analyzed. Regression analysis was conducted to investigate and estimate the relationship between response variable and explanatory variables on these parameters. The results indicated that yield gain is the high expectation of cotton growers to optimize the net return and a strong positive correlation between yield and net return indicates that increased yield of using conventional cotton leads to higher revenue of cotton grower.},
 year = {2016}
}

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TY  - JOUR
T1  - The Assessment of Implementing Conventional Cotton: A Regression Analysis of Meta-Data
AU  - Julian Witjaksono
AU  - Dahya
AU  - Asmin
Y1  - 2016/03/31
PY  - 2016
N1  - https://doi.org/10.11648/j.ajaf.20160402.11
DO  - 10.11648/j.ajaf.20160402.11
T2  - American Journal of Agriculture and Forestry
JF  - American Journal of Agriculture and Forestry
JO  - American Journal of Agriculture and Forestry
SP  - 10
EP  - 14
PB  - Science Publishing Group
SN  - 2330-8591
UR  - https://doi.org/10.11648/j.ajaf.20160402.11
AB  - This paper investigated the effects of implementing conventional cotton using meta data as the global scope from developed countries (America and Australia) and developing countries (India and China). The data base collected individual studies from more than one decade of field trials and survey. More specifically, the global effects of conventional cotton on crop yields, seed costs, pesticide costs, management and labor costs, and finally net returns were analyzed. Regression analysis was conducted to investigate and estimate the relationship between response variable and explanatory variables on these parameters. The results indicated that yield gain is the high expectation of cotton growers to optimize the net return and a strong positive correlation between yield and net return indicates that increased yield of using conventional cotton leads to higher revenue of cotton grower.
VL  - 4
IS  - 2
ER  -

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Author Information

Julian Witjaksono

The Assessment Institute for Agricultural Technology, Southeast Sulawesi, Indonesia
Dahya

The Assessment Institute for Agricultural Technology, Southeast Sulawesi, Indonesia
Asmin

The Assessment Institute for Agricultural Technology, Southeast Sulawesi, Indonesia

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APA Style

Julian Witjaksono, Dahya, Asmin. (2016). The Assessment of Implementing Conventional Cotton: A Regression Analysis of Meta-Data. American Journal of Agriculture and Forestry, 4(2), 10-14. https://doi.org/10.11648/j.ajaf.20160402.11

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ACS Style

Julian Witjaksono; Dahya; Asmin. The Assessment of Implementing Conventional Cotton: A Regression Analysis of Meta-Data. Am. J. Agric. For. 2016, 4(2), 10-14. doi: 10.11648/j.ajaf.20160402.11

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AMA Style

Julian Witjaksono, Dahya, Asmin. The Assessment of Implementing Conventional Cotton: A Regression Analysis of Meta-Data. Am J Agric For. 2016;4(2):10-14. doi: 10.11648/j.ajaf.20160402.11

Copy | Download

@article{10.11648/j.ajaf.20160402.11,
  author = {Julian Witjaksono and Dahya and Asmin},
  title = {The Assessment of Implementing Conventional Cotton: A Regression Analysis of Meta-Data},
  journal = {American Journal of Agriculture and Forestry},
  volume = {4},
  number = {2},
  pages = {10-14},
  doi = {10.11648/j.ajaf.20160402.11},
  url = {https://doi.org/10.11648/j.ajaf.20160402.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajaf.20160402.11},
  abstract = {This paper investigated the effects of implementing conventional cotton using meta data as the global scope from developed countries (America and Australia) and developing countries (India and China). The data base collected individual studies from more than one decade of field trials and survey. More specifically, the global effects of conventional cotton on crop yields, seed costs, pesticide costs, management and labor costs, and finally net returns were analyzed. Regression analysis was conducted to investigate and estimate the relationship between response variable and explanatory variables on these parameters. The results indicated that yield gain is the high expectation of cotton growers to optimize the net return and a strong positive correlation between yield and net return indicates that increased yield of using conventional cotton leads to higher revenue of cotton grower.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - The Assessment of Implementing Conventional Cotton: A Regression Analysis of Meta-Data
AU  - Julian Witjaksono
AU  - Dahya
AU  - Asmin
Y1  - 2016/03/31
PY  - 2016
N1  - https://doi.org/10.11648/j.ajaf.20160402.11
DO  - 10.11648/j.ajaf.20160402.11
T2  - American Journal of Agriculture and Forestry
JF  - American Journal of Agriculture and Forestry
JO  - American Journal of Agriculture and Forestry
SP  - 10
EP  - 14
PB  - Science Publishing Group
SN  - 2330-8591
UR  - https://doi.org/10.11648/j.ajaf.20160402.11
AB  - This paper investigated the effects of implementing conventional cotton using meta data as the global scope from developed countries (America and Australia) and developing countries (India and China). The data base collected individual studies from more than one decade of field trials and survey. More specifically, the global effects of conventional cotton on crop yields, seed costs, pesticide costs, management and labor costs, and finally net returns were analyzed. Regression analysis was conducted to investigate and estimate the relationship between response variable and explanatory variables on these parameters. The results indicated that yield gain is the high expectation of cotton growers to optimize the net return and a strong positive correlation between yield and net return indicates that increased yield of using conventional cotton leads to higher revenue of cotton grower.
VL  - 4
IS  - 2
ER  -

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