Crop-Industry Relevance Index: Assessment Model for Tanzania

Aloyce Shaban Hepelwa

doi:doi:10.11648/j.ijae.20200505.13

| Peer-Reviewed

Crop-Industry Relevance Index: Assessment Model for Tanzania

Aloyce Shaban Hepelwa

Published in International Journal of Agricultural Economics (Volume 5, Issue 5)

Received: 31 July 2020 Accepted: 17 August 2020 Published: 17 September 2020

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

Abstract

The interdependence between agriculture and industry sectors has increased in developing countries where smallholder farmers dominate agricultural production. However, methodology for assessing the contribution of smallholder farmers to the industrialization is lacking. The current paper presents the developed crop-industry relevance index (CIRI) framework used to analyze crop production and gauge the contribution of smallholder farming in industrial development in Tanzania. The study employed the Analytic Hierarchy Process (AHP) to derive weights for constructing the CIRI. The study defined five criteria that represents characteristics of crop types defining the crop industry relevance. The pairwise matrix representing value judgement on the contribution of different crop types to the industrialization were established. The normalization procedure resulted to derivation of weights. Consistency analysis performed to check the consistency in the value judgement on role of different crop types on industrialization. The results are that, the consistency ratio was 0.0318 implying robust weight values. Finding are that, the contribution of smallholder farmers to the production of industrial relevant crops is estimated to be 20% in year 2014. The estimated industrial value is mainly contributed by maize, paddy, cassava, cotton, sugarcane and sunflower. The implication is that while maize, cassava and paddy are produced primarily for food, there is emerging importance in the industrial development. Effort to enhance crop production focusing these crops beers dual benefits in the country.

Published in	International Journal of Agricultural Economics (Volume 5, Issue 5)
DOI	10.11648/j.ijae.20200505.13
Page(s)	165-171
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), 2020. Published by Science Publishing Group

Keywords

Crop-Industry Relevance Index Framework, Smallholder Farmers, Industrial Development

References

[1]	Altenburg, T., & Assmann, C. (Eds.). (2017). Green Industrial Policy: Concept, Policies, Country Experiences. German Development Institute, Bonn.
[2]	Babbage, C. (1835). On the Economy of Machinery and Manufactures: Project Gutenberg.
[3]	Diakoulaki D, Karangelis F (2007) Multi-criteria decision analysis and cost-benefit analysis of alternative scenarios for the power generation sector in Greece. Renew Sustain Energy Rev 11: 716–727.
[4]	Cherniwchan, Jevan. 2012. Economic growth, industrialization, and the environment. Elsevier.
[5]	Egilmez, G.; Kucukvar, M.; Tatari, O. Sustainability assessment of U.S. Manufacturing sectors: An economic input output-based frontier approach. J. Clean. Prod. 2013, 53, 91–102.
[6]	Hallegatte, Stéphane, G. Heal, M. Fay, and D. Treguer. 2011. From Growth to Green Growth: A Framework. Policy Research Working Paper 5872. Washington, DC: World Bank.
[7]	Huang, C., Su, H., Yang, C., Lin, T., & Lin, T. (n.d.). Indicators to Measure Industrial Transition and Greening, 1–6.
[8]	IUCN. 2013. Environmental Impact Assessment of industrial development around Lumbini, the birthplace of the Lord Buddha, world heritage property. KAT/2013/PI/H/1.
[9]	Koo, W., J. Lou, and R. Johnson. "Increases in Demand for Food in China and Implications for World Agricultural Trade." Ag. Econ. Rpt. No. 351, Dept. of Ag. Econ., North Dakota State University, Fargo, May 1996.
[10]	Luken R. A. and E. Clarence-Smith. 2019. “Green Industrialisation in Sub-Saharan Africa: A Guide for Policy Makers”, UONGOZI Institute, February 2019, Dar-es-Salaam.
[11]	Mirasgedis S, Diakoulaki D (1997) Multicriteria analysis vs. externalities assessment for the comparative evaluation of electricity generation systems. Eur J Oper Res 102: 364–379.
[12]	Nguyen Thi Hien (2003). The Reforms in Vietnam’s Agriculture: Achievements and Problems. Paper prepared for the Workshop "Transformation of the Agricultural Sector in the Transition Economies: Lessons for North Korea". Seoul, Korea, 17-18 December 2003, Conference Proceedings, Seoul, KREI, 117-153.
[13]	National Bureau of Statistics (NBS) and the Ministry of Industry, Trade and Investment (MITI), 2016. The 2013 Census of Industrial Production (CIP): Analytical Report. Dar es Salaam.
[14]	Qu, Y., Yu, Y., Appolloni, A., Li, M. and Liu, Y., 2017. Measuring Green Growth Efficiency for Chinese Manufacturing Industries. Sustainability, 9 (4), p. 637.
[15]	Saaty, Thomas, L., (1980), “The Analytical Hierarchy Process”, McGraw-Hill Co., New York.
[16]	Saaty, Thomas, L., (2005), Theory and Application of the Analytic Network Process: Decision Making with Benefits, Opportunities, Cost and Risks. Pittsburg: RWS Publications.
[17]	United Republic of Tanzania (URT), 2016. The 2013 Census of Industrial Production: Analytical Report, Dar-es-Salaam.
[18]	United Republic of Tanzania (URT), 2016. Five Year Development Plan 2016/17-2020/21 “Nurturing Industrialization for Economic Transformation and Human Development”. Dar-es-Salaam.
[19]	World Bank. 2019. Tanzania: Country Environmental Analysis-Environmental Trends and Threats, and Pathways to Improved Sustainability. 2019. Washington, DC: World Bank.
[20]	World Bank. 2012. Inclusive Green Growth: The Pathway to Sustainable Development. Washington, DC: World Bank.
[21]	Wolz, A. (2002). Transformation and Development of Agricultural Co-operatives in Vietnam. In: Klump, R. and Mutz, G. (eds.): Doi Moi in Wirtschaft und Gesellschaft: Soziale und ökonomische Transformation in Vietnam. Marburg: Metropolis, 11-42.
[22]	Kassie, M., Zikhali, P., Pender, J. and Kohlin. G. (2010), The Economics of Sustainable Land Management Practices in the Ethiopian Highlands, Journal of Agricultural Economics, Vol. 61, No. 3, 2010, 605–627.
[23]	Kassie, M., Jaleta, M., Shiferaw, B, Mmbando, F. and Mekuria, M. (2012) Adoption of interrelated sustainable agricultural practices in smallholder systems: Evidence from rural Tanzania, Technological Forecasting & Social Change 80 (2013) 525–540.
[24]	Pavel Ciaian, Fatmir Guri, Miroslava Rajcaniova, Dusan Drabik and Sergio Gomez Paloma. (2015), Land Fragmentation, Production Diversification, and Food Security: A Case Study from Rural Albania. Conference paper, Italy.
[25]	Rao, D. S, Coelli, T. J., and Alauddin, M. (2004), “Agricultural productivity growth, employment and poverty in developing countries, 1970-2000” Centre for Efficiency and Productivity Analysis (CEPA), School of Economics, University of Queensland, Brisb.
[26]	World Bank (2007) World Development Report 2008: Agriculture for Development, Washington DC: The World Bank.
[27]	Xuedong, D. (2006), "Innovation and technology transfer in Chinese agriculture", Journal of Small Business and Enterprise Development, Vol. 13 No. 2, pp. 242-247. https://doi.org/10.1108/14626000610665944.

Cite This Article

Plain Text BibTeX RIS

APA Style

Aloyce Shaban Hepelwa. (2020). Crop-Industry Relevance Index: Assessment Model for Tanzania. International Journal of Agricultural Economics, 5(5), 165-171. https://doi.org/10.11648/j.ijae.20200505.13

Copy | Download

ACS Style

Aloyce Shaban Hepelwa. Crop-Industry Relevance Index: Assessment Model for Tanzania. Int. J. Agric. Econ. 2020, 5(5), 165-171. doi: 10.11648/j.ijae.20200505.13

Copy | Download

AMA Style

Aloyce Shaban Hepelwa. Crop-Industry Relevance Index: Assessment Model for Tanzania. Int J Agric Econ. 2020;5(5):165-171. doi: 10.11648/j.ijae.20200505.13

Copy | Download

@article{10.11648/j.ijae.20200505.13,
  author = {Aloyce Shaban Hepelwa},
  title = {Crop-Industry Relevance Index: Assessment Model for Tanzania},
  journal = {International Journal of Agricultural Economics},
  volume = {5},
  number = {5},
  pages = {165-171},
  doi = {10.11648/j.ijae.20200505.13},
  url = {https://doi.org/10.11648/j.ijae.20200505.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20200505.13},
  abstract = {The interdependence between agriculture and industry sectors has increased in developing countries where smallholder farmers dominate agricultural production. However, methodology for assessing the contribution of smallholder farmers to the industrialization is lacking. The current paper presents the developed crop-industry relevance index (CIRI) framework used to analyze crop production and gauge the contribution of smallholder farming in industrial development in Tanzania. The study employed the Analytic Hierarchy Process (AHP) to derive weights for constructing the CIRI. The study defined five criteria that represents characteristics of crop types defining the crop industry relevance. The pairwise matrix representing value judgement on the contribution of different crop types to the industrialization were established. The normalization procedure resulted to derivation of weights. Consistency analysis performed to check the consistency in the value judgement on role of different crop types on industrialization. The results are that, the consistency ratio was 0.0318 implying robust weight values. Finding are that, the contribution of smallholder farmers to the production of industrial relevant crops is estimated to be 20% in year 2014. The estimated industrial value is mainly contributed by maize, paddy, cassava, cotton, sugarcane and sunflower. The implication is that while maize, cassava and paddy are produced primarily for food, there is emerging importance in the industrial development. Effort to enhance crop production focusing these crops beers dual benefits in the country.},
 year = {2020}
}

Copy | Download

TY - JOUR
T1 - Crop-Industry Relevance Index: Assessment Model for Tanzania
AU - Aloyce Shaban Hepelwa
Y1 - 2020/09/17
PY - 2020
N1 - https://doi.org/10.11648/j.ijae.20200505.13
DO - 10.11648/j.ijae.20200505.13
T2 - International Journal of Agricultural Economics
JF - International Journal of Agricultural Economics
JO - International Journal of Agricultural Economics
SP - 165
EP - 171
PB - Science Publishing Group
SN - 2575-3843
UR - https://doi.org/10.11648/j.ijae.20200505.13
AB - The interdependence between agriculture and industry sectors has increased in developing countries where smallholder farmers dominate agricultural production. However, methodology for assessing the contribution of smallholder farmers to the industrialization is lacking. The current paper presents the developed crop-industry relevance index (CIRI) framework used to analyze crop production and gauge the contribution of smallholder farming in industrial development in Tanzania. The study employed the Analytic Hierarchy Process (AHP) to derive weights for constructing the CIRI. The study defined five criteria that represents characteristics of crop types defining the crop industry relevance. The pairwise matrix representing value judgement on the contribution of different crop types to the industrialization were established. The normalization procedure resulted to derivation of weights. Consistency analysis performed to check the consistency in the value judgement on role of different crop types on industrialization. The results are that, the consistency ratio was 0.0318 implying robust weight values. Finding are that, the contribution of smallholder farmers to the production of industrial relevant crops is estimated to be 20% in year 2014. The estimated industrial value is mainly contributed by maize, paddy, cassava, cotton, sugarcane and sunflower. The implication is that while maize, cassava and paddy are produced primarily for food, there is emerging importance in the industrial development. Effort to enhance crop production focusing these crops beers dual benefits in the country.
VL - 5
IS - 5
ER -

Copy | Download

Author Information

Aloyce Shaban Hepelwa

Department of Agricultural Economics and Business, University of Dar es Salaam, Dar es Salaam, Tanzania

Download PDF

Sections

Plain Text BibTeX RIS

APA Style

Aloyce Shaban Hepelwa. (2020). Crop-Industry Relevance Index: Assessment Model for Tanzania. International Journal of Agricultural Economics, 5(5), 165-171. https://doi.org/10.11648/j.ijae.20200505.13

Copy | Download

ACS Style

Aloyce Shaban Hepelwa. Crop-Industry Relevance Index: Assessment Model for Tanzania. Int. J. Agric. Econ. 2020, 5(5), 165-171. doi: 10.11648/j.ijae.20200505.13

Copy | Download

AMA Style

Aloyce Shaban Hepelwa. Crop-Industry Relevance Index: Assessment Model for Tanzania. Int J Agric Econ. 2020;5(5):165-171. doi: 10.11648/j.ijae.20200505.13

Copy | Download

@article{10.11648/j.ijae.20200505.13,
  author = {Aloyce Shaban Hepelwa},
  title = {Crop-Industry Relevance Index: Assessment Model for Tanzania},
  journal = {International Journal of Agricultural Economics},
  volume = {5},
  number = {5},
  pages = {165-171},
  doi = {10.11648/j.ijae.20200505.13},
  url = {https://doi.org/10.11648/j.ijae.20200505.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20200505.13},
  abstract = {The interdependence between agriculture and industry sectors has increased in developing countries where smallholder farmers dominate agricultural production. However, methodology for assessing the contribution of smallholder farmers to the industrialization is lacking. The current paper presents the developed crop-industry relevance index (CIRI) framework used to analyze crop production and gauge the contribution of smallholder farming in industrial development in Tanzania. The study employed the Analytic Hierarchy Process (AHP) to derive weights for constructing the CIRI. The study defined five criteria that represents characteristics of crop types defining the crop industry relevance. The pairwise matrix representing value judgement on the contribution of different crop types to the industrialization were established. The normalization procedure resulted to derivation of weights. Consistency analysis performed to check the consistency in the value judgement on role of different crop types on industrialization. The results are that, the consistency ratio was 0.0318 implying robust weight values. Finding are that, the contribution of smallholder farmers to the production of industrial relevant crops is estimated to be 20% in year 2014. The estimated industrial value is mainly contributed by maize, paddy, cassava, cotton, sugarcane and sunflower. The implication is that while maize, cassava and paddy are produced primarily for food, there is emerging importance in the industrial development. Effort to enhance crop production focusing these crops beers dual benefits in the country.},
 year = {2020}
}

Copy | Download