African Swine Fever (ASF) Insurance Premium Estimate Test at Mont-Ngafula in Kinshasa, Democratic Republic of Congo (DRC): A Model Under Construction

Alexandre Tona Tona; Alphonse-Roger Ntoto M’vubu; Rostin Mabela Matendo; Freddy Okitayela Onawoma

doi:doi:10.11648/j.ijae.20210606.16

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African Swine Fever (ASF) Insurance Premium Estimate Test at Mont-Ngafula in Kinshasa, Democratic Republic of Congo (DRC): A Model Under Construction

Alexandre Tona Tona, Alphonse-Roger Ntoto M’vubu, Rostin Mabela Matendo, Freddy Okitayela Onawoma

Published in International Journal of Agricultural Economics (Volume 6, Issue 6)

Received: 3 October 2021 Accepted: 21 October 2021 Published: 25 November 2021

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Abstract

In order to estimate the average insurable pig numbers held by breeders, their monetary value, the ASF insurance premium in the event of adoption of the product, a survey was carried out from January 2 to April 10, 2021, among 63 pig farmers. from Mont Ngafula in Kinshasa, DRC to collect information relating to the construction of a future model of local management of this risk. The average insurable pig population owned by a breeder from Mont-Ngafula in Kinshasa is 8,571 ± 3.48 and this represents an average monetary value of 2.604 ± 1.092,87 with an average ASF insurance premium of 169.27 ± 71.03 $. The correlation matrix showed a strong link between the pig workforce, monetary value of the pig herd, ASF insurance premium, frankness and indemnification. The model of linear regression explains 77.09% of the link between the insurable pig population held by a breeder and the premium payable in the event of adoption of ASF insurance. The equation for the line is Y = 17.916 x + 15.709. The Multiple Correspondence Analysis (MCA) in turn shows that there are three variables that have a higher correlation for the management of this ASF and these are the level of study (0.65), the veterinary consultation (0.55) and the payment. of the PPA premium (0.42). The alignment of the first bisector for all variables suggests that they are normally distributed. Pig farmers complain about the lack of funding and support from the state services in charge of the pig sector.

Published in	International Journal of Agricultural Economics (Volume 6, Issue 6)
DOI	10.11648/j.ijae.20210606.16
Page(s)	291-299
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), 2021. Published by Science Publishing Group

Keywords

Pig Farming, African Swine Fever, Insurance, Premium, Kinshasa

References

[1]	Foundation for Agriculture and Rurality in the World (FARW), 2012, Agricultural insurance: framework note (FARW Foundation, 2012).
[2]	International Fund for Agricultural Development (IFAD), 2016, Climate Index Insurance: Potential for Expansion and Sustainability for Agricultural and Rural Livelihoods.
[3]	Platform for Agricultural Risk Management (PARM), 2019. “(in collaboration with UCAB and AGRHYMET CILSS)” Agricultural risk management: theory and applications in the Sahel and West Africa”, Capacity building and learning resources (Ahmadou Aly Mbaye, Sanoussi Atta et Ilaria Tedesco, eds). Rome: PARM/IFAD.
[4]	World Bank. 2009. Index-based crop insurance in Senegal: Promoting access to agricultural insurance for small farmers, The World Bank, Sustainable Development, Africa Region, Finance and Private Sector Development, April, 89.
[5]	Food and Agriculture Organization of the United Nations / World Organization for Animal Health / The World Bank. 2011. Good Biosecurity Practices in the Pig Sector - Constraints and Possible Solutions in Developing and Transition Countries. FAO studies: Animal production and health. Number 169. Rome.
[6]	World Organization for Animal Health (WOAH), 2020a. African swine fever: General disease information sheet. URL: https://www.oie.int/doc/ged/D13955.PDF, accessed 07/29/2021.
[7]	World Organization for Animal Health (WOAH), 2020b. Global economic impact of African swine fever. Perspectives, opinions and strategies. URL: https://oiebulletin.com/?panorama=02-2-2-2020-1-economic-fr&lang=fr, accessed 07/29/2021.
[8]	Tona Tona A., Ntoto M’vubu R, Okitayela Onawoma Fr. and Mabela Matendo R., 2020. Participative modelling of a micro insurance scheme for African swine fever (ASF) in a peri-urban pig farming (PF) in Kinshasa, democratic republic of Congo (DRC). ISSN: 2456-2912 VET 2020; 5 (1): 11-17.
[9]	Corrégé I., Berthelot N., Aubry A., Badouard Br., Hémonic A., 2011. Biosecurity, sanitary control, design and management of breeding: impact on technico-economic performance. Pig Research Days, 43.
[10]	Corrégé I. and Hémonic A., 2018. Biosecurity in pig farming: challenges, compliance, obstacles and prospects for progress IFIP - Institut of pig, Domaine de la Motte au Vicomte, BP 35104, 35651 Le Rheu, France. Pig Research Days, 50, 177-188. URL: https://www.ifip.asso.fr/sites/default/files/pdf-documentations/s02.pdf, consulted, 18/09/2021.
[11]	Wilkipedia, 2021. The commune of Mont-Ngafula, Kinshasa, Democratic Republic of the Congo. URL : https://fr.wikipedia.org/wiki/Mont-Ngafula, consulted on 20/10/2021
[12]	Shomba Kinyamba S., Mukoka Nsenda., Olela Nonga D., Kaminar T. M., Mbalanda W., 2015. Monograph of the city of Kinshasa, ICREDES Kinshasa-Montreal-Washington. URL: https://www.fsmtoolbox.com/assets/pdf/Monographie_de_la_ville_de_Kinshasa.pdf, consulted16 / 08 / 2021.
[13]	Lidsky V., Maudet C., Malpel G-P., Gerster F., Helfter M., Lejeune H. and Le Theule F-G., 2017. Risk management tools in agriculture, Inspection Générale des Finances (IGF). URL: https://www.igf.finances.gouv.fr/files/live/sites/igf/files/contributed/IGF%20internet/2.Rappo rtsPublics/2017/2016-M-099.pdf, consulted on 15 / 08 / 2021.
[14]	Access to insurance initiative, 2016. how agricultural insurance can improve food security and why regulation is important URL: file:///C:/Users/user/Downloads/20160624_policy_notes_fr_web_0.pdf, consultetd, 18/09/2021.
[15]	International Fund for Agricultural Development (IFAD). 2016. The potential for scale and sustainability in weather index insurance. for Agriculture and Rural Livelihoods. URL: https://www.ifad.org/documents/38714170/40239486/The+potential+for+scale+and+sustaina bility+in+weather+index+insurance+for+agriculture+and+rural+livelihoods.pdf/7a8247c7d7be-4a1b-9088-37edee6717ca, consulted, 07/09/2021.
[16]	Swiss Re. 2013a. «New swiss Re sigma study puts the spotlight on the role that insurance can play in improving food security for over 850 million people globally» URL: https://www.swissre.com/media/newsreleases/2013/nr_20130116_improving_food_security.html, consulted 07/09/2021.
[17]	Swiss Re. 2013b. New Swiss Re sigma study highlights role insurance can play in improving food security for over 850 million people URL: https://www.swissre.com/dam/jcr:39487d67-ab3d-4beb-a0e5eadc83bc8c47/Communique_de_presse_sigma_1_2013.pdf, consulted le 07/09/2021.
[18]	Access to Insurance Initiative, 2014. 4th telephone consultation on agricultural insurance. URL: https://a2ii.org/fileadmin/file_storage/Documents/4_consultation_Call_low.pdf., consulted le 06/09/2021.
[19]	Society of Actuaries. 2015. Agricultural Insurance – More room to grow? The Actuary Magazine 12 (2) URL: https://www.soa.org/globalassets/assets/Library/Newsletters/TheActuary-Magazine/2015/april/act-2015-vol12-iss2-porth-tan.pdf, consulted 06/09/2021.

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APA Style

Alexandre Tona Tona, Alphonse-Roger Ntoto M’vubu, Rostin Mabela Matendo, Freddy Okitayela Onawoma. (2021). African Swine Fever (ASF) Insurance Premium Estimate Test at Mont-Ngafula in Kinshasa, Democratic Republic of Congo (DRC): A Model Under Construction. International Journal of Agricultural Economics, 6(6), 291-299. https://doi.org/10.11648/j.ijae.20210606.16

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ACS Style

Alexandre Tona Tona; Alphonse-Roger Ntoto M’vubu; Rostin Mabela Matendo; Freddy Okitayela Onawoma. African Swine Fever (ASF) Insurance Premium Estimate Test at Mont-Ngafula in Kinshasa, Democratic Republic of Congo (DRC): A Model Under Construction. Int. J. Agric. Econ. 2021, 6(6), 291-299. doi: 10.11648/j.ijae.20210606.16

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AMA Style

Alexandre Tona Tona, Alphonse-Roger Ntoto M’vubu, Rostin Mabela Matendo, Freddy Okitayela Onawoma. African Swine Fever (ASF) Insurance Premium Estimate Test at Mont-Ngafula in Kinshasa, Democratic Republic of Congo (DRC): A Model Under Construction. Int J Agric Econ. 2021;6(6):291-299. doi: 10.11648/j.ijae.20210606.16

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@article{10.11648/j.ijae.20210606.16,
  author = {Alexandre Tona Tona and Alphonse-Roger Ntoto M’vubu and Rostin Mabela Matendo and Freddy Okitayela Onawoma},
  title = {African Swine Fever (ASF) Insurance Premium Estimate Test at Mont-Ngafula in Kinshasa, Democratic Republic of Congo (DRC): A Model Under Construction},
  journal = {International Journal of Agricultural Economics},
  volume = {6},
  number = {6},
  pages = {291-299},
  doi = {10.11648/j.ijae.20210606.16},
  url = {https://doi.org/10.11648/j.ijae.20210606.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20210606.16},
  abstract = {In order to estimate the average insurable pig numbers held by breeders, their monetary value, the ASF insurance premium in the event of adoption of the product, a survey was carried out from January 2 to April 10, 2021, among 63 pig farmers. from Mont Ngafula in Kinshasa, DRC to collect information relating to the construction of a future model of local management of this risk. The average insurable pig population owned by a breeder from Mont-Ngafula in Kinshasa is 8,571 ± 3.48 and this represents an average monetary value of 2.604 ± 1.092,87 with an average ASF insurance premium of 169.27 ± 71.03 $. The correlation matrix showed a strong link between the pig workforce, monetary value of the pig herd, ASF insurance premium, frankness and indemnification. The model of linear regression explains 77.09% of the link between the insurable pig population held by a breeder and the premium payable in the event of adoption of ASF insurance. The equation for the line is Y = 17.916 x + 15.709. The Multiple Correspondence Analysis (MCA) in turn shows that there are three variables that have a higher correlation for the management of this ASF and these are the level of study (0.65), the veterinary consultation (0.55) and the payment. of the PPA premium (0.42). The alignment of the first bisector for all variables suggests that they are normally distributed. Pig farmers complain about the lack of funding and support from the state services in charge of the pig sector.},
 year = {2021}
}

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TY  - JOUR
T1  - African Swine Fever (ASF) Insurance Premium Estimate Test at Mont-Ngafula in Kinshasa, Democratic Republic of Congo (DRC): A Model Under Construction
AU  - Alexandre Tona Tona
AU  - Alphonse-Roger Ntoto M’vubu
AU  - Rostin Mabela Matendo
AU  - Freddy Okitayela Onawoma
Y1  - 2021/11/25
PY  - 2021
N1  - https://doi.org/10.11648/j.ijae.20210606.16
DO  - 10.11648/j.ijae.20210606.16
T2  - International Journal of Agricultural Economics
JF  - International Journal of Agricultural Economics
JO  - International Journal of Agricultural Economics
SP  - 291
EP  - 299
PB  - Science Publishing Group
SN  - 2575-3843
UR  - https://doi.org/10.11648/j.ijae.20210606.16
AB  - In order to estimate the average insurable pig numbers held by breeders, their monetary value, the ASF insurance premium in the event of adoption of the product, a survey was carried out from January 2 to April 10, 2021, among 63 pig farmers. from Mont Ngafula in Kinshasa, DRC to collect information relating to the construction of a future model of local management of this risk. The average insurable pig population owned by a breeder from Mont-Ngafula in Kinshasa is 8,571 ± 3.48 and this represents an average monetary value of 2.604 ± 1.092,87 with an average ASF insurance premium of 169.27 ± 71.03 $. The correlation matrix showed a strong link between the pig workforce, monetary value of the pig herd, ASF insurance premium, frankness and indemnification. The model of linear regression explains 77.09% of the link between the insurable pig population held by a breeder and the premium payable in the event of adoption of ASF insurance. The equation for the line is Y = 17.916 x + 15.709. The Multiple Correspondence Analysis (MCA) in turn shows that there are three variables that have a higher correlation for the management of this ASF and these are the level of study (0.65), the veterinary consultation (0.55) and the payment. of the PPA premium (0.42). The alignment of the first bisector for all variables suggests that they are normally distributed. Pig farmers complain about the lack of funding and support from the state services in charge of the pig sector.
VL  - 6
IS  - 6
ER  -

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Author Information

Alexandre Tona Tona

Department of Animal Sciences, Faculty of Agricultural Sciences, University of Kinshasa, Kinshasa, Democratic Republic of Congo (DRC)
Alphonse-Roger Ntoto M’vubu

Department of Agricultural Economy, Faculty of Agricultural Sciences, University of Kinshasa, Kinshasa, Democratic Republic of Congo (DRC)
Rostin Mabela Matendo

Department of Mathematical, Faculty of Sciences, University of Kinshasa, Kinshasa, Democratic Republic of Congo (DRC)
Freddy Okitayela Onawoma

Department of Animal Sciences, Faculty of Agricultural Sciences, University of Kinshasa, Kinshasa, Democratic Republic of Congo (DRC)

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APA Style

Alexandre Tona Tona, Alphonse-Roger Ntoto M’vubu, Rostin Mabela Matendo, Freddy Okitayela Onawoma. (2021). African Swine Fever (ASF) Insurance Premium Estimate Test at Mont-Ngafula in Kinshasa, Democratic Republic of Congo (DRC): A Model Under Construction. International Journal of Agricultural Economics, 6(6), 291-299. https://doi.org/10.11648/j.ijae.20210606.16

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ACS Style

Alexandre Tona Tona; Alphonse-Roger Ntoto M’vubu; Rostin Mabela Matendo; Freddy Okitayela Onawoma. African Swine Fever (ASF) Insurance Premium Estimate Test at Mont-Ngafula in Kinshasa, Democratic Republic of Congo (DRC): A Model Under Construction. Int. J. Agric. Econ. 2021, 6(6), 291-299. doi: 10.11648/j.ijae.20210606.16

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AMA Style

Alexandre Tona Tona, Alphonse-Roger Ntoto M’vubu, Rostin Mabela Matendo, Freddy Okitayela Onawoma. African Swine Fever (ASF) Insurance Premium Estimate Test at Mont-Ngafula in Kinshasa, Democratic Republic of Congo (DRC): A Model Under Construction. Int J Agric Econ. 2021;6(6):291-299. doi: 10.11648/j.ijae.20210606.16

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@article{10.11648/j.ijae.20210606.16,
  author = {Alexandre Tona Tona and Alphonse-Roger Ntoto M’vubu and Rostin Mabela Matendo and Freddy Okitayela Onawoma},
  title = {African Swine Fever (ASF) Insurance Premium Estimate Test at Mont-Ngafula in Kinshasa, Democratic Republic of Congo (DRC): A Model Under Construction},
  journal = {International Journal of Agricultural Economics},
  volume = {6},
  number = {6},
  pages = {291-299},
  doi = {10.11648/j.ijae.20210606.16},
  url = {https://doi.org/10.11648/j.ijae.20210606.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijae.20210606.16},
  abstract = {In order to estimate the average insurable pig numbers held by breeders, their monetary value, the ASF insurance premium in the event of adoption of the product, a survey was carried out from January 2 to April 10, 2021, among 63 pig farmers. from Mont Ngafula in Kinshasa, DRC to collect information relating to the construction of a future model of local management of this risk. The average insurable pig population owned by a breeder from Mont-Ngafula in Kinshasa is 8,571 ± 3.48 and this represents an average monetary value of 2.604 ± 1.092,87 with an average ASF insurance premium of 169.27 ± 71.03 $. The correlation matrix showed a strong link between the pig workforce, monetary value of the pig herd, ASF insurance premium, frankness and indemnification. The model of linear regression explains 77.09% of the link between the insurable pig population held by a breeder and the premium payable in the event of adoption of ASF insurance. The equation for the line is Y = 17.916 x + 15.709. The Multiple Correspondence Analysis (MCA) in turn shows that there are three variables that have a higher correlation for the management of this ASF and these are the level of study (0.65), the veterinary consultation (0.55) and the payment. of the PPA premium (0.42). The alignment of the first bisector for all variables suggests that they are normally distributed. Pig farmers complain about the lack of funding and support from the state services in charge of the pig sector.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - African Swine Fever (ASF) Insurance Premium Estimate Test at Mont-Ngafula in Kinshasa, Democratic Republic of Congo (DRC): A Model Under Construction
AU  - Alexandre Tona Tona
AU  - Alphonse-Roger Ntoto M’vubu
AU  - Rostin Mabela Matendo
AU  - Freddy Okitayela Onawoma
Y1  - 2021/11/25
PY  - 2021
N1  - https://doi.org/10.11648/j.ijae.20210606.16
DO  - 10.11648/j.ijae.20210606.16
T2  - International Journal of Agricultural Economics
JF  - International Journal of Agricultural Economics
JO  - International Journal of Agricultural Economics
SP  - 291
EP  - 299
PB  - Science Publishing Group
SN  - 2575-3843
UR  - https://doi.org/10.11648/j.ijae.20210606.16
AB  - In order to estimate the average insurable pig numbers held by breeders, their monetary value, the ASF insurance premium in the event of adoption of the product, a survey was carried out from January 2 to April 10, 2021, among 63 pig farmers. from Mont Ngafula in Kinshasa, DRC to collect information relating to the construction of a future model of local management of this risk. The average insurable pig population owned by a breeder from Mont-Ngafula in Kinshasa is 8,571 ± 3.48 and this represents an average monetary value of 2.604 ± 1.092,87 with an average ASF insurance premium of 169.27 ± 71.03 $. The correlation matrix showed a strong link between the pig workforce, monetary value of the pig herd, ASF insurance premium, frankness and indemnification. The model of linear regression explains 77.09% of the link between the insurable pig population held by a breeder and the premium payable in the event of adoption of ASF insurance. The equation for the line is Y = 17.916 x + 15.709. The Multiple Correspondence Analysis (MCA) in turn shows that there are three variables that have a higher correlation for the management of this ASF and these are the level of study (0.65), the veterinary consultation (0.55) and the payment. of the PPA premium (0.42). The alignment of the first bisector for all variables suggests that they are normally distributed. Pig farmers complain about the lack of funding and support from the state services in charge of the pig sector.
VL  - 6
IS  - 6
ER  -

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