Improving the market for household livestock production to alleviate food insecurity in the Philippines
Minh-Phuong Thi Duong A , Ni Putu Wulan Purnama Sari B , Adrino Mazenda C , Minh-Hoang Nguyen D * and Quan-Hoang Vuong D EA
B
C
D
E
Abstract
Food security is one of the major concerns in the Philippines. Although livestock and poultry production accounts for a significant proportion of the country’s agricultural output, smallholder households are still vulnerable to food insecurity.
The current study aims to examine how livestock production and selling difficulties affect food-insecure conditions of smallholder households.
The study employed the mindsponge theory as its theoretical foundation for constructing the models. Subsequently, it applied the Bayesian mindsponge framework (BMF) analytics to analyse a dataset sourced from the Data in Emergencies Monitoring (DIEM) system of the Food and Agriculture Organization. Key variables in the dataset were transformed into indicators, enabling a detailed examination of smallholder livestock farmers’ difficulties in production or selling over the past 3 months. Production difficulties include hurdles in raising and producing livestock, covering aspects such as resource acquisition, animal health, and breeding. Selling difficulties involve obstacles in selling livestock products, including issues related to market access, pricing, and transportation.
Production and selling difficulties significantly adversely affect food security in the Philippines, with varying impacts according to the severity of food insecurity. In particular, production and selling difficulties equally affect the households’ likelihood of eating less healthy and nutritious food. However, the production difficulties have more negligible impacts on the possibility of skipping meals than do selling difficulties, and even ambiguous impacts on the likelihood of not eating for a whole day compared with the effects of selling difficulties. Moreover, we also found that the market plays a crucial role in facilitating not only livestock trading but also livestock production (e.g. purchase of feed and medicines).
Our research has highlighted the complex connection among livestock, markets, and food security within the Philippine setting. It emphasised the significant impact of selling difficulties, particularly the heavy reliance on nearby local and regional markets, in exacerbating the severity of food insecurity.
On the basis of these findings, we suggest that the livestock market needs to be expanded and regulated to balance livestock products and services used for livestock production and facilitate the product-exchanging mechanism.
Keywords: agricultural households, Bayesian mindsponge framework (BMF), food security, information-processing, livestock trading, market, mindsponge theory, the Philippines.
References
Abafita J, Kim K-R (2014) Determinants of household food security in rural Ethiopia: an empirical analysis. Journal of Rural Development/Nongchon-Gyeongje 37(2), 129-157.
| Crossref | Google Scholar |
Acosta A, Nicolli F, Karfakis P (2021) Coping with climate shocks: the complex role of livestock portfolios. World Development 146, 105546.
| Crossref | Google Scholar |
Akrong R, Mbogoh SG, Irungu P (2021) What factors influence access to and the level of participation in high value mango markets by smallholder farmers in Ghana? Heliyon 7(3), e06543.
| Crossref | Google Scholar |
Alawneh JI, Barnes TS, Parke C, Lapuz E, David E, Basinang V, Baluyut A, Villar E, Lopez EL, Blackall PJ (2014) Description of the pig production systems, biosecurity practices and herd health providers in two provinces with high swine density in the Philippines. Preventive Veterinary Medicine 114(2), 73-87.
| Crossref | Google Scholar | PubMed |
Amao IO, Ogunniyi AI, Mavrotas G, Omotayo AO (2023) Factors affecting food security among households in Nigeria: the role of crop diversity. Sustainability 15(11), 8534.
| Crossref | Google Scholar |
Asamoah O, Danquah JA, Bamwesigye D, Verter N, Acheampong E, Macgregor CJ, Boateng CM, Kuittinen S, Appiah M, Pappinen A (2023) The perception of the locals on the impact of climate variability on non-timber forest products in Ghana. Acta Ecologica Sinica 4(30),.
| Crossref | Google Scholar |
Bahta YT (2022) Nexus between coping strategies and households’ agricultural drought resilience to food insecurity in South Africa. Land 11(6), 893.
| Crossref | Google Scholar |
Balana BB, Oyeyemi MA (2022) Agricultural credit constraints in smallholder farming in developing countries: evidence from Nigeria. World Development Sustainability 1, 100012.
| Crossref | Google Scholar |
Balehegn M, Duncan A, Tolera A, Ayantunde AA, Issa S, Karimou M, Zampaligré N, André K, Gnanda I, Varijakshapanicker P, Kebreab E, Dubeux J, Boote K, Minta M, Feyissa F, Adesogan AT (2020) Improving adoption of technologies and interventions for increasing supply of quality livestock feed in low-and middle-income countries. Global Food Security 26, 100372.
| Crossref | Google Scholar | PubMed |
Banks AR, Bell BA, Ngendahimana D, Embaye M, Freedman DA, Chisolm DJ (2021) Identification of factors related to food insecurity and the implications for social determinants of health screenings. BMC Public Health 21, 1410.
| Crossref | Google Scholar |
Barroga TRM, Morales RG, Benigno CC, Castro SJM, Caniban MM, Cabullo MFB, Agunos A, de Balogh K, Dorado-Garcia A (2020) Antimicrobials used in backyard and commercial poultry and swine farms in the Philippines: a qualitative pilot study. Frontiers in Veterinary Science 7, 329.
| Crossref | Google Scholar | PubMed |
Bauer L (2020) The COVID-19 crisis has already left too many children hungry in America. Vol. 2023. Brookings. Available at https://www.brookings.edu/articles/the-covid-19-crisis-has-already-left-too-many-children-hungry-in-america/
Bentler PM, Mooijaart A (1989) Choice of structural model via parsimony: a rationale based on precision. Psychological Bulletin 106(2), 315.
| Crossref | Google Scholar | PubMed |
Blackmore E, Guarin A, Vorley W, Alonso S, Grace D (2022) Kenya’s informal milk markets and the regulation–reality gap. Development Policy Review 40(3), e12581.
| Crossref | Google Scholar | PubMed |
Camerer CF, Dreber A, Holzmeister F, Ho T-H, Huber J, Johannesson M, Kirchler M, Nave G, Nosek BA, Pfeiffer T, Altmejd A, Buttrick N, Chan T, Chen Y, Forsell E, Gampa A, Heikensten E, Hummer L, Imai T, Isaksson S, Manfredi D, Rose J, Wagenmakers E-J, Wu H (2018) Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015. Nature Human Behaviour 2(9), 637-644.
| Crossref | Google Scholar | PubMed |
Cele T, Mudhara M (2022) Impact of market participation on household food security among smallholder irrigators in KwaZulu–Natal, South Africa. Agriculture 12(2), 261.
| Crossref | Google Scholar |
Cheng L, Yu Y, Wang Y, Zheng L (2023) Influences of mental accounting on consumption decisions: asymmetric effect of a scarcity mindset. Frontiers in Psychology 14, 1162916.
| Crossref | Google Scholar | PubMed |
Cougle JR (2012) What makes a quality therapy? A consideration of parsimony, ease, and efficiency. Behavior Therapy 43(3), 468-481.
| Crossref | Google Scholar | PubMed |
Cruz M (2022) WFP Philippines – food security monitoring – October 2022. World Food Programme. Available at https://www.wfp.org/publications/wfp-philippines-food-security-monitoring-october-2022
Dunson DB (2001) Commentary: practical advantages of Bayesian analysis of epidemiologic data. American Journal of Epidemiology 153(12), 1222-1226.
| Crossref | Google Scholar | PubMed |
Eeswaran R, Nejadhashemi AP, Faye A, Min D, Prasad PVV, Ciampitti IA (2022) Current and future challenges and opportunities for livestock farming in West Africa: perspectives from the case of Senegal. Agronomy 12(8), 1818.
| Crossref | Google Scholar |
FAO (1996) Rome declaration on world food security and world food summit plan of action: world food summit. United Nations, Rome, Italy. Available at https://www.fao.org/3/w3613e/w3613e00.htm
FAO (2021b) The Philippines | Data in Emergencies Monitoring (DIEM Monitoring) brief – round 1. Food and Agriculture Organization, Rome, Italy. Available at https://www.fao.org/documents/card/en/c/CB8405EN/
Food and Nutrition Research Institute (2021) Food insecurity among families amid the Covid-19 pandemic. Congressional Policy and Budget Research Department, Metro Manila, Philippines. Available at https://cpbrd.congress.gov.ph/2012-06-30-13-06-51/2012-06-30-13-36-50/1325-ff2021-35-food-insecurity-among-families-amid-the-covid-19-pandemic
Food Security Information Network (2023) Global report on food crises 2023. Available at https://www.fsinplatform.org/global-report-food-crises-2023
Garnett T (2014) Three perspectives on sustainable food security: efficiency, demand restraint, food system transformation. What role for life cycle assessment? Journal of Cleaner Production 73, 10-18.
| Crossref | Google Scholar |
Guyomard H, Bouamra-Mechemache Z, Chatellier V, Delaby L, Détang-Dessendre C, Peyraud J-L, Requillart V (2021) Why and how to regulate animal production and consumption: the case of the European Union. Animal 15, 100283.
| Crossref | Google Scholar | PubMed |
Haile K, Gebre E, Workye A (2022) Determinants of market participation among smallholder farmers in Southwest Ethiopia: double-hurdle model approach. Agriculture & Food Security 11(1), 18.
| Crossref | Google Scholar |
Halsey LG, Curran-Everett D, Vowler SL, Drummond GB (2015) The fickle P value generates irreproducible results. Nature Methods 12, 179-185.
| Crossref | Google Scholar | PubMed |
Hernandez E, Llonch P, Turner PV (2022) Applied animal ethics in industrial food animal production: exploring the role of the veterinarian. Animals 12(6), 678.
| Crossref | Google Scholar | PubMed |
Jin R, Wang X (2022) ‘Somewhere I belong?’ A study on transnational identity shifts caused by ‘double stigmatization’ among Chinese international student returnees during COVID-19 through the lens of mindsponge mechanism. Frontiers in Psychology 13, 1018843.
| Crossref | Google Scholar |
Kharas H (2010) ‘The emerging middle class in developing countries.’ (OECD Publishing: Paris, France) Available at https://www.oecd-ilibrary.org/content/paper/5kmmp8lncrns-en
Kumar M, Srivastava S, Muhammad T, Saravanakumar P (2022) Examining the association between health status and subjective life expectancy among older Indian adults based on the mindsponge approach. Humanities and Social Sciences Communications 9(1), 359.
| Crossref | Google Scholar |
Lapar ML, Holloway G, Ehui S (2003) Policy options promoting market participation among smallholder livestock producers: a case study from the Phillipines. Food Policy 28(3), 187-211.
| Crossref | Google Scholar |
Lin H-I, Yu Y-Y, Wen F-I, Liu P-T (2022) Status of food security in East and Southeast Asia and challenges of climate change. Climate 10(3), 40.
| Crossref | Google Scholar |
Liu Q, Otter T, Allenby GM (2007) Investigating endogeneity bias in marketing. Marketing Science 26(5), 642-650.
| Crossref | Google Scholar |
Lu J, Deng Q, Chen Y, Liu W (2023) Impact of perceived ease of use, organizational support mechanism, and industry competitive pressure on physicians’ use of liver cancer screening technology in medical alliances: an empirical research based on TOE framework. Frontiers in Public Health 11, 1174334.
| Crossref | Google Scholar |
Mahachi LN, Chikwanha OC, Katiyatiya CLF, Marufu MC, Aremu AO, Mapiye C (2023) Haemato-biochemical responses, worm burdens and Haemonchus contortus ultrastructural changes in lambs fed diets containing graded inclusion levels of sericea lespedeza. Animal Production Science 63(14), 1394-1409.
| Crossref | Google Scholar |
Malusi N, Falowo AB, Idamokoro EM (2021) Herd dynamics, production and marketing constraints in the commercialization of cattle across Nguni Cattle Project beneficiaries in Eastern Cape, South Africa. Pastoralism 11(1), 1.
| Crossref | Google Scholar |
Marandure T, Dzama K, Bennett J, Makombe G, Chikwanha O, Mapiye C (2020) Farmer challenge-derived indicators for assessing sustainability of low-input ruminant production systems in sub-Saharan Africa. Environmental and Sustainability Indicators 8, 100060.
| Crossref | Google Scholar |
Mayberry D, Hatcher S, Cowley F (2020) New skills, networks and challenges: the changing face of animal production science in Australia. Animal Production Science 61(3), 201-207.
| Crossref | Google Scholar |
Mazenda A, Molepo N, Mushayanyama T, Ngarava S (2022) The invisible crisis: the determinants of local food insecurity in Gauteng municipalities, South Africa. British Food Journal 124(13), 274-289.
| Crossref | Google Scholar |
Mbatha C (2021) Livestock production and marketing for small emerging farmers in South Africa and Kenya: comparative lessons. South African Journal of Agricultural Extension (SAJAE) 49(1), 141-161.
| Crossref | Google Scholar |
Namonje-Kapembwa T, Chiwawa H, Sitko N (2022) Analysis of goat production and marketing among smallholder farmers Zambia. Small Ruminant Research 208, 106620.
| Crossref | Google Scholar |
Nguyen M-H, Jones TE (2022a) Building eco-surplus culture among urban residents as a novel strategy to improve finance for conservation in protected areas. Humanities and Social Sciences Communications 9, 426.
| Crossref | Google Scholar | PubMed |
Nguyen M-H, Jones TE (2022b) Predictors of support for biodiversity loss countermeasure and bushmeat consumption among Vietnamese urban residents. Conservation Science and Practice 4(12), e12822.
| Crossref | Google Scholar |
Nguyen M-H, La V-P, Le T-T, Vuong Q-H (2022) Introduction to Bayesian Mindsponge Framework analytics: an innovative method for social and psychological research. MethodsX 9, 101808.
| Crossref | Google Scholar | PubMed |
Nguyen M-H, Le T-T, Vuong Q-H (2023) Ecomindsponge: a novel perspective on human psychology and behavior in the ecosystem. Urban Science 7(1), 31.
| Crossref | Google Scholar |
Nuvey FS, Nortey PA, Addo KK, Addo-Lartey A, Kreppel K, Houngbedji CA, Dzansi G, Bonfoh B (2022) Farm-related determinants of food insecurity among livestock dependent households in two agrarian districts with varying rainfall patterns in Ghana. Frontiers in Sustainable Food Systems 6, 743600.
| Crossref | Google Scholar |
Nyam YS, Bahta YT, Oduniyi OS, Matthews N (2022) Smallholder sheep farmers’ perception of production constraints and competitiveness strategies in South Africa. Scientific African 16, e01192.
| Crossref | Google Scholar |
Olagbegi BR, Chikwanha OC, Katiyatiya CLF, Marais J, Molotsi AH, Dzama K, Mapiye C (2023) Physicochemical, volatile compounds, oxidative and sensory profiles of the Longissimus muscle of six South African sheep breeds. Animal Production Science 63(6), 610-622.
| Crossref | Google Scholar |
Open Science Collaboration (2015) Estimating the reproducibility of psychological science. Science 349(6251), aac4716.
| Crossref | Google Scholar |
Premanandh J (2011) Factors affecting food security and contribution of modern technologies in food sustainability. Journal of the Science of Food and Agriculture 91(15), 2707-2714.
| Crossref | Google Scholar | PubMed |
Rizvi A, Wasfi R, Enns A, Kristjansson E (2021) The impact of novel and traditional food bank approaches on food insecurity: a longitudinal study in Ottawa, Canada. BMC Public Health 21(1), 771.
| Crossref | Google Scholar |
Roxas DB (1995) Livestock and poultry industry development in The Philippines: potentials, problems and policies. Bulletin of Animal Science 1995, 27-32.
| Crossref | Google Scholar |
Santirocchi A, Spataro P, Alessi F, Rossi-Arnaud C, Cestari V (2023) Trust in science and belief in misinformation mediate the effects of political orientation on vaccine hesitancy and intention to be vaccinated. Acta Psychologica 237, 103945.
| Crossref | Google Scholar | PubMed |
Shakeel A, Shazli T (2021) Coping strategies and struggle against food insecurity: the case of district Banda in Bundelkhand region, India. GeoJournal 86, 1721-1742.
| Crossref | Google Scholar |
Shuvo SD, Hossain MS, Riazuddin M, Mazumdar S, Roy D (2022) Factors influencing low-income households’ food insecurity in Bangladesh during the COVID-19 lockdown. PLoS ONE 17(5), e0267488.
| Crossref | Google Scholar | PubMed |
Sinclair M, Fryer C, Phillips JC (2019) The benefits of improving animal welfare from the perspective of livestock stakeholders across Asia. Animals 9(4), 123.
| Crossref | Google Scholar |
Tanemura N, Kakizaki M, Kusumi T, Onodera R, Chiba T (2022) Levels of trust in risk-only negative health messages issued by public agencies: a quantitative research-based mindsponge framework. Humanities and Social Sciences Communications 9, 388.
| Crossref | Google Scholar |
Tiwari R, Kumar HD, Dutt T, Singh BP, Pachaiyappan K, Dhama K (2014) Future challenges of food security and sustainable livestock production in India in the changing climatic scenario. Asian Journal of Animal and Veterinary Advances 9(7), 367-384.
| Crossref | Google Scholar |
Torero M (2020) Without food, there can be no exit from the pandemic. Nature 580(7805), 588-589.
| Crossref | Google Scholar | PubMed |
Uusitalo L (2007) Advantages and challenges of Bayesian networks in environmental modelling. Ecological Modelling 203(3-4), 312-318.
| Crossref | Google Scholar |
Vuong Q-H (2018) The (ir)rational consideration of the cost of science in transition economies. Nature Human Behaviour 2, 5.
| Crossref | Google Scholar | PubMed |
Vuong Q-H (2020) Reform retractions to make them more transparent. Nature 582, 149.
| Crossref | Google Scholar |
Vuong QH, Napier NK (2015) Acculturation and global mindsponge: an emerging market perspective. International Journal of Intercultural Relations 49, 354-367.
| Crossref | Google Scholar |
Vuong Q-H, Nguyen HTT, Pham T-H, Ho M-T, Nguyen M-H (2021) Assessing the ideological homogeneity in entrepreneurial finance research by highly cited publications. Humanities and Social Sciences Communications 8, 110.
| Crossref | Google Scholar |
Vuong Q-H, Le T-T, La V-P, Nguyen HTT, Ho M-T, Van Khuc Q, Nguyen M-H (2022a) Covid-19 vaccines production and societal immunization under the serendipity–mindsponge–3D knowledge management theory and conceptual framework. Humanities and Social Sciences Communications 9, 22.
| Crossref | Google Scholar |
Vuong Q-H, Le T-T, Jin R, Khuc QV, Nguyen H-S, Vuong T-T, Nguyen M-H (2023) Near-suicide phenomenon: an investigation into the psychology of patients with serious illnesses withdrawing from treatment. International Journal of Environmental Research and Public Health 20(6), 5173.
| Crossref | Google Scholar | PubMed |
Wagenmakers E-J, Marsman M, Jamil T, Ly A, Verhagen J, Love J, Selker R, Gronau QF, Šmíra M, Epskamp S, Matzke D, Rouder JN, Morey RD (2018) Bayesian inference for psychology. Part I: theoretical advantages and practical ramifications. Psychonomic Bulletin & Review 25(1), 35-57.
| Crossref | Google Scholar | PubMed |