Institutional Factor Analysis Influencing Production in Six Small-Scale Vegetable Projects Using Purposive Sampling Design and Binary Logistic Regression

Vishwa Nath Maurya; Swammy Vashist; Diwinder Kaur Arora; Kamlesh Kumar Shukla

doi:doi:10.11648/j.ajbes.20150101.14

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Institutional Factor Analysis Influencing Production in Six Small-Scale Vegetable Projects Using Purposive Sampling Design and Binary Logistic Regression

Vishwa Nath Maurya, Swammy Vashist, Diwinder Kaur Arora, Kamlesh Kumar Shukla

Published in American Journal of Biological and Environmental Statistics (Volume 1, Issue 1)

Received: 6 June 2015 Accepted: 25 June 2015 Published: 1 July 2015

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Abstract

This paper aims to investigate institutional factor analysis influencing vegetable production in six small-scale vegetable projects in Alice town in the Nkonkobe Municipality of Eastern Cape of South Africa. An attempt has been made to amidst worsening poverty in the wider society to make out how vegetable production can contribute to enhancing food security. Seeking some insights on effectiveness of the agrarian reforms on small holder farmers in South Africa, key objectives of the present study was to identify and explore institutional factors that influence vegetable production. The data were drawn from 62 farmers in the projects investigated. Descriptive analysis and binary logistic regression were employed to analyze the data and explain the patterns of interactions among the identified institutional factors influencing vegetable production. The results of our study explored herein revealed that some institutional factors need to be addressed to enhance vegetable production. The binary logistic results show that both the formal and informal norms are important in vegetable production. The most significant institutional variables revealed by the analysis were attributes of the formation and organizational structure of the projects, land tenure, extension service, collective action in production and marketing. In addition, here our findings suggest that institutional change in respect to aforementioned variables and other complementary institutions such as contract farming and credit access can significantly contribute to increased, efficient and sustainable vegetable production.

Published in	American Journal of Biological and Environmental Statistics (Volume 1, Issue 1)
DOI	10.11648/j.ajbes.20150101.14
Page(s)	27-37
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), 2015. Published by Science Publishing Group

Keywords

Institutional Factor Analysis, Small-Scale Vegetable Projects, Purposive Sampling Design, Binary Logistic Regression Operation

References

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APA Style

Vishwa Nath Maurya, Swammy Vashist, Diwinder Kaur Arora, Kamlesh Kumar Shukla. (2015). Institutional Factor Analysis Influencing Production in Six Small-Scale Vegetable Projects Using Purposive Sampling Design and Binary Logistic Regression. American Journal of Biological and Environmental Statistics, 1(1), 27-37. https://doi.org/10.11648/j.ajbes.20150101.14

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ACS Style

Vishwa Nath Maurya; Swammy Vashist; Diwinder Kaur Arora; Kamlesh Kumar Shukla. Institutional Factor Analysis Influencing Production in Six Small-Scale Vegetable Projects Using Purposive Sampling Design and Binary Logistic Regression. Am. J. Biol. Environ. Stat. 2015, 1(1), 27-37. doi: 10.11648/j.ajbes.20150101.14

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AMA Style

Vishwa Nath Maurya, Swammy Vashist, Diwinder Kaur Arora, Kamlesh Kumar Shukla. Institutional Factor Analysis Influencing Production in Six Small-Scale Vegetable Projects Using Purposive Sampling Design and Binary Logistic Regression. Am J Biol Environ Stat. 2015;1(1):27-37. doi: 10.11648/j.ajbes.20150101.14

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@article{10.11648/j.ajbes.20150101.14,
  author = {Vishwa Nath Maurya and Swammy Vashist and Diwinder Kaur Arora and Kamlesh Kumar Shukla},
  title = {Institutional Factor Analysis Influencing Production in Six Small-Scale Vegetable Projects Using Purposive Sampling Design and Binary Logistic Regression},
  journal = {American Journal of Biological and Environmental Statistics},
  volume = {1},
  number = {1},
  pages = {27-37},
  doi = {10.11648/j.ajbes.20150101.14},
  url = {https://doi.org/10.11648/j.ajbes.20150101.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbes.20150101.14},
  abstract = {This paper aims to investigate institutional factor analysis influencing vegetable production in six small-scale vegetable projects in Alice town in the Nkonkobe Municipality of Eastern Cape of South Africa. An attempt has been made to amidst worsening poverty in the wider society to make out how vegetable production can contribute to enhancing food security. Seeking some insights on effectiveness of the agrarian reforms on small holder farmers in South Africa, key objectives of the present study was to identify and explore institutional factors that influence vegetable production. The data were drawn from 62 farmers in the projects investigated. Descriptive analysis and binary logistic regression were employed to analyze the data and explain the patterns of interactions among the identified institutional factors influencing vegetable production. The results of our study explored herein revealed that some institutional factors need to be addressed to enhance vegetable production. The binary logistic results show that both the formal and informal norms are important in vegetable production. The most significant institutional variables revealed by the analysis were attributes of the formation and organizational structure of the projects, land tenure, extension service, collective action in production and marketing. In addition, here our findings suggest that institutional change in respect to aforementioned variables and other complementary institutions such as contract farming and credit access can significantly contribute to increased, efficient and sustainable vegetable production.},
 year = {2015}
}

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TY  - JOUR
T1  - Institutional Factor Analysis Influencing Production in Six Small-Scale Vegetable Projects Using Purposive Sampling Design and Binary Logistic Regression
AU  - Vishwa Nath Maurya
AU  - Swammy Vashist
AU  - Diwinder Kaur Arora
AU  - Kamlesh Kumar Shukla
Y1  - 2015/07/01
PY  - 2015
N1  - https://doi.org/10.11648/j.ajbes.20150101.14
DO  - 10.11648/j.ajbes.20150101.14
T2  - American Journal of Biological and Environmental Statistics
JF  - American Journal of Biological and Environmental Statistics
JO  - American Journal of Biological and Environmental Statistics
SP  - 27
EP  - 37
PB  - Science Publishing Group
SN  - 2471-979X
UR  - https://doi.org/10.11648/j.ajbes.20150101.14
AB  - This paper aims to investigate institutional factor analysis influencing vegetable production in six small-scale vegetable projects in Alice town in the Nkonkobe Municipality of Eastern Cape of South Africa. An attempt has been made to amidst worsening poverty in the wider society to make out how vegetable production can contribute to enhancing food security. Seeking some insights on effectiveness of the agrarian reforms on small holder farmers in South Africa, key objectives of the present study was to identify and explore institutional factors that influence vegetable production. The data were drawn from 62 farmers in the projects investigated. Descriptive analysis and binary logistic regression were employed to analyze the data and explain the patterns of interactions among the identified institutional factors influencing vegetable production. The results of our study explored herein revealed that some institutional factors need to be addressed to enhance vegetable production. The binary logistic results show that both the formal and informal norms are important in vegetable production. The most significant institutional variables revealed by the analysis were attributes of the formation and organizational structure of the projects, land tenure, extension service, collective action in production and marketing. In addition, here our findings suggest that institutional change in respect to aforementioned variables and other complementary institutions such as contract farming and credit access can significantly contribute to increased, efficient and sustainable vegetable production.
VL  - 1
IS  - 1
ER  -

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Author Information

Vishwa Nath Maurya

Department of Applied Mathematics & Statistics, School of Science & Technology, The University of Fiji, Lautoka, Fiji
Swammy Vashist

Department of Accounting & Finance, Dilla University, Gedeo, Ethiopia
Diwinder Kaur Arora

Group Centre, Central Reserve Police Force, Guwahati, Assam, Ministry of Home Affairs, Govt. of India
Kamlesh Kumar Shukla

Department of Management, Adama Science and Technology University, Adama, Ethiopia

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APA Style

Vishwa Nath Maurya, Swammy Vashist, Diwinder Kaur Arora, Kamlesh Kumar Shukla. (2015). Institutional Factor Analysis Influencing Production in Six Small-Scale Vegetable Projects Using Purposive Sampling Design and Binary Logistic Regression. American Journal of Biological and Environmental Statistics, 1(1), 27-37. https://doi.org/10.11648/j.ajbes.20150101.14

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ACS Style

Vishwa Nath Maurya; Swammy Vashist; Diwinder Kaur Arora; Kamlesh Kumar Shukla. Institutional Factor Analysis Influencing Production in Six Small-Scale Vegetable Projects Using Purposive Sampling Design and Binary Logistic Regression. Am. J. Biol. Environ. Stat. 2015, 1(1), 27-37. doi: 10.11648/j.ajbes.20150101.14

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AMA Style

Vishwa Nath Maurya, Swammy Vashist, Diwinder Kaur Arora, Kamlesh Kumar Shukla. Institutional Factor Analysis Influencing Production in Six Small-Scale Vegetable Projects Using Purposive Sampling Design and Binary Logistic Regression. Am J Biol Environ Stat. 2015;1(1):27-37. doi: 10.11648/j.ajbes.20150101.14

Copy | Download

@article{10.11648/j.ajbes.20150101.14,
  author = {Vishwa Nath Maurya and Swammy Vashist and Diwinder Kaur Arora and Kamlesh Kumar Shukla},
  title = {Institutional Factor Analysis Influencing Production in Six Small-Scale Vegetable Projects Using Purposive Sampling Design and Binary Logistic Regression},
  journal = {American Journal of Biological and Environmental Statistics},
  volume = {1},
  number = {1},
  pages = {27-37},
  doi = {10.11648/j.ajbes.20150101.14},
  url = {https://doi.org/10.11648/j.ajbes.20150101.14},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajbes.20150101.14},
  abstract = {This paper aims to investigate institutional factor analysis influencing vegetable production in six small-scale vegetable projects in Alice town in the Nkonkobe Municipality of Eastern Cape of South Africa. An attempt has been made to amidst worsening poverty in the wider society to make out how vegetable production can contribute to enhancing food security. Seeking some insights on effectiveness of the agrarian reforms on small holder farmers in South Africa, key objectives of the present study was to identify and explore institutional factors that influence vegetable production. The data were drawn from 62 farmers in the projects investigated. Descriptive analysis and binary logistic regression were employed to analyze the data and explain the patterns of interactions among the identified institutional factors influencing vegetable production. The results of our study explored herein revealed that some institutional factors need to be addressed to enhance vegetable production. The binary logistic results show that both the formal and informal norms are important in vegetable production. The most significant institutional variables revealed by the analysis were attributes of the formation and organizational structure of the projects, land tenure, extension service, collective action in production and marketing. In addition, here our findings suggest that institutional change in respect to aforementioned variables and other complementary institutions such as contract farming and credit access can significantly contribute to increased, efficient and sustainable vegetable production.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Institutional Factor Analysis Influencing Production in Six Small-Scale Vegetable Projects Using Purposive Sampling Design and Binary Logistic Regression
AU  - Vishwa Nath Maurya
AU  - Swammy Vashist
AU  - Diwinder Kaur Arora
AU  - Kamlesh Kumar Shukla
Y1  - 2015/07/01
PY  - 2015
N1  - https://doi.org/10.11648/j.ajbes.20150101.14
DO  - 10.11648/j.ajbes.20150101.14
T2  - American Journal of Biological and Environmental Statistics
JF  - American Journal of Biological and Environmental Statistics
JO  - American Journal of Biological and Environmental Statistics
SP  - 27
EP  - 37
PB  - Science Publishing Group
SN  - 2471-979X
UR  - https://doi.org/10.11648/j.ajbes.20150101.14
AB  - This paper aims to investigate institutional factor analysis influencing vegetable production in six small-scale vegetable projects in Alice town in the Nkonkobe Municipality of Eastern Cape of South Africa. An attempt has been made to amidst worsening poverty in the wider society to make out how vegetable production can contribute to enhancing food security. Seeking some insights on effectiveness of the agrarian reforms on small holder farmers in South Africa, key objectives of the present study was to identify and explore institutional factors that influence vegetable production. The data were drawn from 62 farmers in the projects investigated. Descriptive analysis and binary logistic regression were employed to analyze the data and explain the patterns of interactions among the identified institutional factors influencing vegetable production. The results of our study explored herein revealed that some institutional factors need to be addressed to enhance vegetable production. The binary logistic results show that both the formal and informal norms are important in vegetable production. The most significant institutional variables revealed by the analysis were attributes of the formation and organizational structure of the projects, land tenure, extension service, collective action in production and marketing. In addition, here our findings suggest that institutional change in respect to aforementioned variables and other complementary institutions such as contract farming and credit access can significantly contribute to increased, efficient and sustainable vegetable production.
VL  - 1
IS  - 1
ER  -

Copy | Download