Factors Affecting the Transition to a Circular Economy Model in Banana Cultivation

Nguyen Thi Thu Ha

Abstract

Adoption of circular economic models is a popular trend in the world and in Vietnam, especially in the agricultural sector, towards sustainable agriculture. To enhance the transition to a circular economy (CE) model in agriculture, this study focuses on identifying and analyzing factors affecting the level of readiness to transition to a circular economy model in banana cultivation of farm households by using quantitative methods of Exploratory Factor Analysis (EFA), Confirm Factor Analysis (CFA), and Structural Equation Modeling (SEM) Analysis. In contrast to many previous studies, this study approaches the issue of the transition to a circular economy from the perspective of producers by surveying key information from 362 farming households and analyzing data through SPSS 26.0 and AMOS 24.0. The findings show that five influencing factors have a positive impact on farm households’ readiness to transition to a circular economy model, ranked from most important to least important: benefits that households receive when transitioning to CE; Awareness of CE; Household resources for CE; Policies on facilitating CE adoption, and attitudes towards CE adoption. The research model explains 56.3% of the variation in readiness to transition to a circular economy model. Based on these findings, recommendations are proposed to further enhance the transition of farm households by applying a circular economy model in agricultural cultivation.

 

Keywords: Vietnam; circular economy; banana cultivation; farm households; exploratory factor analysis; confirm factor analysis; structural equation modeling

 

DOI:10.62321/issn.1000-1298.2024.11.01

 


 

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References


NATIONAL ASSEMBLY OF VIETNAM. Law on Environmental Protection No. 72/2020/QH14 dated January 17, 2020.

NGUYEN DINH DAP. Circular economy: Theoretical and practical issues. Banking Magazine, 2021, 17, 2–9. https://tapchinganhang.gov.vn/kinh-te-tuan-hoan-nhung-van-de-ly-luan-va-thuc-tien.htm

UNIDO. Global consultations on circular economy, 2022. https://www.unido.org/sites/default/files/files/2022-09/Background%20note%20for%20the%20global%20consultations%20on%20circular%20economy%202022.pdf

RUIZ E, CANALES R, GARCÍA G. La medición de la economía circular. Marcos, indicadores e impacto en la gestión empresarial. Forética, Madrid, Spain, 2019. ISBN: 978-84-09-13202-7.

MCCARTHY B, KAPETANAKI AB, WANG P. Circular agri-food approaches: will consumers buy novel products made from vegetable waste? Rural Society, 2019, 28(2), 91-107. https://doi.org/10.1080/10371656.2019.1656394

SHERWOOD, J. The significance of biomass in a circular economy. Bioresource Technology, 300, 122755, 2020. https://doi.org/10.1016/j.biortech.2020.122755

MORSELETTO, P. Restorative and regenerative: Exploring the concepts in the circular economy. Journal of Industrial Ecology, 2020, 24(4), 763-773. https://doi.org/10.1111/jiec.12987

AZNAR-SA ́NCHEZ JA, PIQUER-RODRÍGUEZ M, VELASCO-MUN ̃OZ JF, & MANZANO-AGUGLIARO F. Worldwide research trends on sustainable land use in agriculture. Land Use Policy, 2019, 87, 104069. https://doi.org/10.1016/j.landusepol.2019.104069.

CHIARALUCE G, BENTIVOGLIO D, and FINCO A. Circular Economy for a Sustainable Agri-Food Supply Chain: A Review for Current Trends and Future Pathways. Sustainability, 2021, 13, 9294. https://doi.org/10.3390/su13169294

GEHRING N, DORNEANU B, MANRIQUE SILUPÚ J, IPANAQUÉ ALAMA W, & ARELLANO-GARCIA H. Circular Economy in Banana Cultivation. Computer Aided Chemical Engineering, 2020, 48, 1567-1572.

ALZATE ACEVEDO S, DÍAZ CARRILLO ÁJ, FLÓREZ-LÓPEZ E, & GRANDE-TOVAR CD. Recovery of Banana Waste-Loss from Production and Processing: A Contribution to a Circular Economy. Molecules, 2021, 26, 5282. https://doi.org/10.3390/ molecules26175282.

VU THI QUYEN, & LE QUOC BAO. Effect of organic fertilizer made from banana stems on the growth and yield of mugwort (Artemisia vulgaris). Journal of Agriculture and Rural Development, 2021, 16, 62-67.

THANH TAM Banana trees can bring in billions of dollars if every part is utilized. Rural Economics Magazine. July 15, 2021. https://kinhtenongthon.vn/cay-chuoi-co-the-mang-ve-ty-usd-neu-tan-dung-tot-moi-phan-post43938.html

CRUZ CIC Factors that affect the circular economy: A qualitative study of the supply chain of food and beverage plastic packaging in the Netherlands. Mather thesis Environment and Resource Management. IVM Institute for Environmental Studies Vrije Universiteit Amsterdam, 2019.

TRAN TV,PHAN TH,LE ATT,& TRAN T.M Evaluation of Factors Affecting the Transition to a Circular Economy (CE) in Vietnam by Structural Equation Modeling (SEM). Sustainability, 2022, 14, 613. https:// doi.org/10.3390/su14020613.

VOUKKALI I, PAPAMICHAEL, I, ECONOMOU F, LOIZIA P, KLONTZA E, DEMETRIS L, NADDEO V, & ZORPAS A.A. Factors affecting social attitude and behavior for the transition towards a circular economy. Sustainable Chemistry and Pharmacy, 2023, 36, 101276. https://doi.org/10.1016/j.scp.2023.101276

THE KIEN NGUYEN, et al. Examining the Factors Influencing the Level of Circular Economy Adoption in Agriculture: Insights from Vietnam. Research on World Agriculture Economy, 2024, 05(1), 48-58.

WU, S.-W, & CHIANG, P.-Y. Exploring the Mediating Effects of the Theory of Planned Behavior on the Relationships between Environmental Awareness, Green Advocacy, and Green Self-Efficacy on the Green Word-of-Mouth Intention. Sustainability, 2023, 15, 12127. https://doi.org/10.3390/ su151612127.

JACK MS, DOBBIN M, SWORD W, NOVOTNA G, BROOKS S, LIPMAN EL. & NICCOLS A. Evidence-informed decision-making by professionals working in addiction agencies serving women: a descriptive qualitative study. Substance Abuse Treatment, Prevention and Policy, 2011, 6, 29. https://doi.org/10.1186/1747-597x-6-29

MCCORMACK L, TREIMAN K, BANN C, WILLIAMS-PIEHOTA P, DRISCOLL D, POEHLMAN J, et al. Translating Medical Evidence to Promote Informed Health Care Decisions. Health Services Research, 2011, 46(4), 1200-1223.

CHAMPAGNE F, LEMIEUX-CHARLES L, DURANCEAU M. F, MACKEAN G, & REAY T. Organizational impact of evidence- informed decision-making training initiatives: a case study comparison of two approaches. Implementation Science, 2014, 9 (1), 25-51. https://doi.org/10.1186/1748-5908-9-53

SOSNOWY C, WEISS L, MAYLAHN C, PIRANI S, & KATAGIRI N. Factors Affecting Evidence-Based Decision Making in Local Health Departments. American Journal of Preventive Medicine, 2013, 45(6), 763-768.

POULIN P, AUSTIN L, POULIN M, GALL N, SEIDEL J, LAFRENIERE R. & SCOTT C. Introduction of new technologies and decision making processes: a framework to adapt a Local Health Technology Decision Support Program for other local settings. Medical Devices: Evidence and Research, 2013, 185. https://doi.org/10.2147/mder.s51384.

BOYLE IM, DUFFY AHB, R. WHITELD I, and LIU S. The impact of resources on decision making. Artificial Intelligence for Engineering Design, Analysis and Manufacturing, 2012, 26, 407-423 https://doi.org/10.1017/S0890060412000273

SHOEMAKER L, KAZLEY A, & WHITE A. Making the Case for Evidence-Based Design in Healthcare: A Descriptive Case Study of Organizational Decision Making. Health Environments Research & Design Journal, 2010, 4(1), 56-88.

PHUNG NGOC TRIEU. Identifying factors promoting and hindering the development of circular economy in agriculture. Journal of Economics and Forecasting, 2023, 18, 152-155

JICHUAN W, and XIAOQIAN W. Sample size for structural equation modeling: 31 Application Using Mplus. John Wiley and Sons Ltd., 2012.

NUNNALLY JC, and BERNSTEIN IH. Assessment of Reliability. Psychometric Theory, 1994, 3, 248-292.

HAIR JF, BLACK WC, BABIN BJ, & ANDERSON R.E. Multivariate Data Analysis; Pearson: London, UK, 2010; pp. 90–150.

FORNELL C, & LARCKER D. F. Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 1981, 18, 382-388. http://dx.doi.org/10.2307/3150980

ANDERSON JC, & GERBING D. W. Structural equation modeling in practice: a review and recommended two-step approach. Psychological Bulletin, 1988, 103(3), 411-423. https://doi.org/10.1037/0033- 2909.103.3.411

FORNELL C, & LARCKER D. F. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 1981, 18(1), 39. https://doi.org/10.2307/3151312.

Hu LT, & BENTLER PM. Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria versus New Alternatives. Structural Equation Modeling, 1999, 6, 1-55. http://dx.doi.org/10.1080/10705519909540118

DUONG THI TINH. Research on building a circular economic model for bananas grown in Hung Yen province. Science and Technology Project of Hung Yen Province, 2024.

PRIME MINISTER OF VIETNAM. 10-year socio-economic development strategy from 2021 to 2030, accessed September 20, 2022 at: https://tulieuvankien.dangcongsan.vn/ban-chap-hanh-trung-uong-dang/dai-hoi-dang/lan-thu-xiii/chien-luoc-phat-trien-kinh-te-xa-hoi-10-nam-2021-2030-3735

PRIME MINISTER OF VIETNAM. Decision No. 889/QD-TTg dated June 24, 2020 on Approval of the National Action Program on Sustainable Production and Consumption for the 2021-2030 period.

PRIME MINISTER OF VIETNAM. Decision No. 1658/QD-TTg dated October 1, 2021 approving the National Strategy on Green Growth for the 2021-2030 period, with a vision to 2050.

PRIME MINISTER OF VIETNAM. Decision No. 687/QD-TTg dated June 7, 2022 on Approval of the Circular Economy Development Project in Vietnam.


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