Investigating the causal structure of financial performance in the livestock sector in Indonesia: A causal-loop diagram approach
Mujtahidah A.U.Muzayyanah

, Nurul Hasanah Uswati Dewi
Abstract: The livestock sector faces operational and financial challenges. Financial monitoring of livestock businesses is crucial for developing opportunities, identifying problems early, optimizing operations, and maximizing profits.
This study aimed to investigate and understand the causal and effect of financial performance of livestock companies in Indonesia. The quarterly data from the financial reports announced every quarter from 2020 to 2022 were used to calculate financial performance indicators. The causal relationships among financial variables were created using a Causal-Loop Diagram (CLD). From a financial perspective, the components are necessary for constructing the model. Our study provides an overview of financial ratios used to examine the financial performance of livestock companies, as well as their limitations. The obtained results of financial ratio analysis showed that, overall, the selected companies can generate profits by utilizing more of their assets or equity. Our CLD model in this research offers new insights into the causal relationships between drivers of financial performance in livestock industries, such as desired sales and operating revenue, marketing budget, and production budget. Our findings explain how using a causal loop approach during financial performance evaluation can help policymakers and businesses/investors understand program implementation and variations in program outcomes related to livestock business sector development. Effective management and planning are necessary to develop efficient and practical strategies that optimize livestock production and economic benefits.
Keywords: causal-loop diagram; financial performance; Indonesia; livestock sector
Citation: Muzayyanah, M. A. U. & Dewi, N. H. U. (2025). Investigating the causal structure of financial performance in the livestock sector in Indonesia: A causal-loop diagram approach. Bulg. J. Agric. Sci., 31(5), 860–872
| References: (click to open/close) | Acosta, A., Mccorriston, S., Nicolli, F., Venturelli, E., Wickramasinghe, U., Arcediaz, E., Scudiero, L., Sammartino, A., Schneider, F. & Steinfeld, H. (2021). Immediate effects of COVID-19 on the global dairy sector. Agricultural Systems, 192, 103177. https://doi.org/10.1016/j.agsy.2021.103177. Agustia, D., Muhammad, P. N. A. & Permatasari, Y. (2020). Earnings management, business strategy, and bankruptcy risk: evidence from Indonesia. Heliyon, 6(2). https://doi.org/10.1016/j.heliyon.2020.e03317. Ahearn, M. C., Liang, K. & Goetz, S. (2018). Farm business financial performance in local foods value chains. Agricultural Finance Review/Finace Review, 78(4), 470 - 488. https://doi.org/10.1108/AFR-08-2017-0071. Ahmed, A. A. A. (2022). Perception of the audience of interests on the qualitative characteristics of financial reporting. International Journal of Intellectual Property Management, 12(3), 382 - 402. https://doi.org/10.1504/ijipm.2021.10038267. Al-Nasser, N. M. (2014). The impact of financial analysis in maximizing the firm’s value. A case study on the Jordanian industrial companies. International Journal of Managerial Studies and Research, 2(6), 1 - 9. www.arcjournals.org. Alfiani, L. K. & Rahmawati, E. (2019). The Influence of Biological Asset Intensity, Company Size, Company Growth, Managerial Ownership Concentration, and Type of Public Accounting Firm on Biological Asset Disclosure (In Agricultural Companies Listed on the Indonesia Stock Exchange for the 2014. Reviu Akuntansi Dan Bisnis Indonesia, 3(2), 163 - 178. https://doi.org/10.18196/rab.030243. Alonge, O., Lin, S., Igusa, T. & Peters, D. H. (2017). Improving health systems performance in low-and middle-income countries: a system dynamics model of the pay-for-performance initiative in Afghanistan. Health Policy and Planning, 32(10), 1417 - 1426. https://doi.org/10.1093/heapol/czx122. Argilés, J. M. & Slof, E. J. (2003). The use of financial accounting information and firm performance: An empirical quantification for farms. Accounting and Business Research, 33(4), 251 - 264. https://doi.org/10.1080/00014788.2003.9729653. Badan Pusat Statistik (2022). Statistik Indonesia 2022. In: D. D. Statistik (Ed.), Statistik Indonesia 2020 ,Vol. 1101001. Bampasidou, M., Mishra, A. K. & Moss, C. B. (2017). Modeling debt choice in agriculture: the effect of endogenous asset values. Agricultural Finance Review, 77(1), 95 - 110. https://doi.org/10.1108/AFR-06-2016-0054. Barbrook-Johnson, P. & Penn, A. S. (2022). Causal Loop Diagrams. In: Systems Mapping: How To Build And Use Causal Models Of Systems, 47 – 59. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-01919-7_4. Barth, M. E., Li, K. & McClure, C. G. (2023). Evolution in value relevance of accounting information. Accounting Review, 98(1), 1 - 28. https://doi.org/10.2308/TAR-2019-0521. Berzkalne, I. & Zelgalve, E. (2014). Return on equity and company characteristics : An empirical study of industries in Latvia. The 8th International Days of Statistics and Economics, Prague. September 11-13, 94 - 103. Cho, S. J., Chung, C. Y. & Young, J. (2019). Study on the relationship between CSR and financial performance. Sustainability (Switzerland), 11(343). https://doi.org/10.3390/su11020343. Crabolu, G., Font, X. & Eker, S. (2023). Evaluating policy complexity with causal loop diagrams. Annals of Tourism Research, 100, 103572. https://doi.org/10.1016/J.ANNALS.2023.103572. Diatmika, I. P. G., Yuniarta, G. A. & Yudantara, G. A. P. (2019). ‘Value-Based Management Assessment and The Improvement of Creditors’ and Investors’ Confidence in Bali’, in Advances in Economics, Business and Management Research, 69(3), 292 - 295. Available at: https://doi.org/10.2991/teams-18.2019.51. Directorate General of Livestock and Veterinary (2022) Statistics of Livestock and Animal Health 2022, Issn 2964-1047. Directorate of Livestock Processing and Marketing (2022) Portrait of Livestock Investment. Jakarta. Director General of Livestock and Animal Health (2023) Livestock and Animal Health Statistics 2023, Ministry of Agriculture, Republic of Indonesia. Available at: https://ditjenpkh.pertanian.go.id/berita/1609-buku-statistik-peternakan-dan-kesehatan-hewan-tahun-2022. Dyehouse, M., Bennett, D., Harbor, J., Childress, A. & Dark, M. (2009). A comparison of linear and systems thinking approaches for program evaluation illustrated using the Indiana Interdisciplinary GK-12. Evaluation and Program Planning, 32(3), 187 - 196. https://doi.org/10.1016/j.evalprogplan.2009.03.001. Fenske, N., Burns, J., Hothorn, T. & Rehfuess, E. A. (2013). Understanding child stunting in India: A comprehensive analysis of socio-economic, nutritional and environmental determinants using additive quantile regression. PLoS ONE, 8(11). https://doi.org/10.1371/journal.pone.0078692. Fredericks, K. A., Deegan, M. & Carman, J. G. (2008). Using system dynamics as an evaluation tool: Experience from a demonstration program. American Journal of Evaluation, 29(3), 251 - 267. https://doi.org/10.1177/1098214008319446. Khadka, M. S. & Thapa, G. (2020). Economic and financial returns of livestock agribusiness in the high mountains of Nepal. Journal of Agriculture and Rural Development in the Tropics and Subtropics, 121(2), 251 - 263. https://doi.org/10.17170/kobra-202010191973. Khasanah, H. & Widianingrum, D. C. (2021). Management practices related to the incidence of sub clinical mastitis (SCM) in lactating dairy cow in Banyuwangi, Indonesia. IOP Conference Series: Earth and Environmental Science, 759(1), 4 - 9, IOP Publishing. https://doi.org/10.1088/1755-1315/759/1/012054. Kliestik, T., Vrbka, J. & Rowland, Z. (2018). Bankruptcy prediction in Visegrad group countries using multiple discriminant analysis. Equilibrium, Quarterly Journal of Economics and Economic Policy, 13(3), 569 - 593. https://doi.org/10.24136/eq.2018.028. Knai, C., Petticrew, M., Douglas, N., Durand, M. A., Eastmure, E., Nolte, E. & Mays, N. (2018). The public health responsibility deal: using a systems-level analysis to understand the lack of impact on alcohol, food, physical activity, and workplace health sub-systems. International Journal of Environmental Research and Public Health, 15(12), 2895. https://doi.org/10.3390/ijerph15122895. Korableva, O., Kalimullina, O. & Kurbanova, E. (2017). Building the monitoring systems for complex distributed systems: Problems and solutions. In: ICEIS 2017 - 19th International Conference on Enterprise Information Systems, 2, 221 - 228. SCITE Press. https://doi.org/10.5220/0006271002210228. Kosan, L. (2014). Accounting for marketing : Marketing performance through financial results. International Review of Management and Marketing, 4(4), 276 - 283. Kumbhakar, S. C., Li, M. & Lien, G. (2023). Do subsidies matter in productivity and profitability changes? Economic Modelling, 123, 106264. https://doi.org/https://doi.org/10.1038/s41467-021-27645-2. Kwamie, A., Van Dijk, H. & Agyepong, I. A. (2014). Advancing the application of systems thinking in health: realist evaluation of the Leadership Development Programme for district manager decision-making in Ghana. Health Research Policy and Systems, 12, 1 - 12. https://doi.org/10.1186/1478-4505-12-29. Lestari, R. M. E., Zarkasyi, W., Soepardi, E. M. & Farida, I. (2019). Accounting for biological assets: Data from Indonesia and Malaysia. International Journal of Innovation, Creativity and Change, 6(9), 75 - 89. Lipson, M. L. & Mortal, S. (2009). Liquidity and capital structure. Journal of Financial Markets, 12(4), 611 - 644. https://doi.org/10.1016/J.FINMAR.2009.04.002. Majstorovic, A., Miloradic, J., Andzic, S., Andzic, R., Divac, G., Anicic, A. & Mirkovic, Z. (2016). Legal aspects of financial analysis in agribusiness companies in Serbia. Ekonomika Poljoprivrede, 63(4), 1379 - 1393. https://doi.org/10.5937/ekopolj1604379m. Merrill, J. A., Deegan, M., Wilson, R. V., Kaushal, R. & Fredericks, K. (2013). A system dynamics evaluation model: implementation of health information exchange for public health reporting. Journal of the American Medical Informatics Association, 20(1), e131 - e138. https://doi.org/10.1136/amiajnl-2012-001289. Michaelas, N., Chittenden, F. & Poutziouris, P. (1999). Financial policy and capital structure choice in U.K. SMEs: Empirical evidence from company panel data. Small Business Economics, 12(2), 113 - 130. https://doi.org/10.1023/A:1008010724051. Mohammed, N. F., Ahmed, K. & Ji, X. D. (2017). Accounting conservatism, corporate governance and political connections. Asian Review of Accounting, 25(2), 288 - 318. https://doi.org/10.1108/ARA-04-2016-0041. Mutale, W., Ayles, H., Bond, V., Chintu, N., Chilengi, R., Mwanamwenge, M. T., Taylor, A., Spicer, N. & Balabanova, D. (2017). Application of systems thinking: 12-month postintervention evaluation of a complex health system intervention in Zambia: the case of the BHOMA. Journal of Evaluation in Clinical Practice, 23(2), 439 - 452. https://doi.org/10.1111/JEP.12354. Muzayyanah, M. A. U., Syahlani, S. P. & Dewi, N. H. U. (2020). Consumer preference of processed food products: study on livestock products. IOP Conference Series: Earth and Environmental Science, 662(1), IOP Publishing. https://doi.org/10.1088/1755-1315/662/1/012012. Muzayyanah, M. A. U., Putra, A., Syahlani, S. P. & Dewi, N. H. U. (2021). Consumer perception on selecting marketplace for livestock products food. IOP Conference Series: Earth and Environmental Science, 637(1). https://doi.org/10.1088/1755-1315/637/1/012054. Myšková, R. & Hájek, P. (2017). Comprehensive assessment of firm financial performance using financial ratios and linguistic analysis of annual reports. Journal of International Studies, 10(4), 96 - 108. https://doi.org/10.14254/2071-8330.2017/10-4/7. Nair, A. S., Thirunavukkarasu, M., Pandian, A. S. S., Senthilkumar, G. & Balan, C. (2019). Forecasting livestock and poultry production in India. Ind. J. Vet. & Anim. Sci. Res., 48(4), 9 - 21. Nirwana, N. & Haliah, H. (2018). Determinant factor of the quality of financial statements and performance of the government by adding contextual factors personal factor, system/administrative factor. Asian Journal of Accounting Research, 3(1), 28 - 40. https://doi.org/10.1108/AJAR-06-2018-0014. Ogada, M. J., Rao, E. J. O., Radeny, M., Recha, J. W. & Solomon, D. (2020). Climate-smart agriculture, household income and asset accumulation among smallholder farmers in the Nyando basin of Kenya. World Development Perspectives, 18, 100203. https://doi.org/10.1016/J.WDP.2020.100203. Okumu, M., Kato, H. & Chalise, N. (2016). A system dynamics approach to process evaluation of pen-based digital media-making projects. In: Revolutionizing Education with Digital Ink, 209 - 221, Springer. https://doi.org/10.1007/978-3-319-31193-7_14. Olayinka, A. A. & History, A. (2022). Financial statement analysis as a tool for investment decisions and assessment of companies’ performance. International Journal of Financial, Accounting, and Management (IJFAM), 4(1), 49 - 66. https://doi.org/10.35912/ijfam.v4i1.852. Oliveira, J. da S., Azevedo, G. M. do C., Santos, C. da S. A. & Vasconcelos, S. C. S. (2015). Fair value: model proposal for the dairy sector. Agricultural Finance Review, 75(2), 230 - 252. https://doi.org/10.1108/AFR-04-2014-0008. Osadchy, E. A., Akhmetshin, E. M., Amirova, E. F., Bochkareva, T. N., Gazizyanova, Y. Y. & Yumashev, A. V. (2018). Financial statements of a company as an information base for decision-making in a transforming economy. European Research Studies Journal, 21(2), 339 - 350. https://doi.org/10.35808/ersj/1006. Owen, B., Brown, A. D., Kuhlberg, J., Millar, L., Nichols, M., Economos, C. & Allender, S. (2018). Understanding a successful obesity prevention initiative in children under 5 from a systems perspective. PloS one, 13(3), e0195141. https://doi.org/10.1371/journal.pone.0195141. Putri, N. & Maghfiroh, S. (2022). Implementation of accounting information systems by small and medium enterprises in Banyumas. JAS (Jurnal Akuntansi Syariah), 6(1), 83 - 92. https://doi.org/10.46367/jas.v6i1.566. Renmans, D., Holvoet, N. & Criel, B. (2020). No mechanism without context: Strengthening the analysis of context in realist evaluations using causal loop diagramming. New Directions for Evaluation, 2020(167), 101 - 114. https://doi.org/10.1002/ev.20424. Rizal, M., Maulina, E. & Kostini, N. (2018). Fintech as one of the financing solutions for SMEs. AdBispreneur : Jurnal Pemikiran Dan Penelitian Administrasi Bisnis Dan Kewirausahaan, 3(2), 89 - 100. https://doi.org/10.16383/j.aas.2018.cxxxxxx. Robu, I. B. & Istrate, C. (2015). The analysis of the principal components of the financial reporting in the case of Romanian listed companies. Procedia Economics and Finance, 20(15), 553 - 561. https://doi.org/10.1016/s2212-5671(15)00108-2. Rüegg, S. R., Nielsen, L. R., Buttigieg, S. C., Santa, M., Aragrande, M., Canali, M., Ehlinger, T., Chantziaras, I., Boriani, E., Radeski, M., Bruce, M., Queenan, K. & Häsler, B. (2018). A systems approach to evaluate One Health initiatives. Frontiers in Veterinary Science, 5, 1 - 18. https://doi.org/10.3389/fvets.2018.00023. Sarriot, E., Morrow, M., Langston, A., Weiss, J., Landegger, J. & Tsuma, L. (2015). A causal loop analysis of the sustainability of integrated community case management in Rwanda. Social Science & Medicine, 131, 147 - 155. https://doi.org/10.1016/J.SOCSCIMED.2015.03.014. Setyawan, H. B., Widianingrum, D. C., Yulianto, R. & Khasanah, H. (2021). Robustness of dairy cattle farming industry against Covid-19 pandemic in business group (KUB) Tirtasari Kresna Gemilang, Malang. IOP Conference Series: Earth and Environmental Science, 759(1), IOP Publishing. https://doi.org/10.1088/1755-1315/759/1/012056. Simanjuntak, R., Putri, S. & Muda, I. (2023). The influence of technical and fundamental analysis on investment decision making for traders with theory of reasoned action. Brazilian Journal of Development, 9(12), 31972 - 31986. https://doi.org/10.34117/bjdv9n12-095. Smith, C. W. & Stulz, R. M. (1985). The determinants of firms’ hedging policies. The Journal of Financial and Quantitative Analysis, 20(4), 391 - 405. Springmann, M. & Freund, F. (2022). Options for reforming agricultural subsidies from health, climate, and economic perspectives. Nature Communications, 13(1), 1 - 7. https://doi.org/10.1038/s41467-021-27645-2. Tarighi, H., Hosseiny, Z. N., Abbaszadeh, M. R. & Zimon, G. (2022). How do financial distress risk and related party transactions? Risks, 10(46), 1 - 23. Thompson, J. M., Trejo-Pech, C. J. O. & Pendell, D. L. (2019). Agribusiness value impacts from highly pathogenic avian influenza. Agricultural Finance Review, 79(3), 371 - 385. https://doi.org/10.1108/AFR-09-2018-0075. Twedt, B. & Rees, L. (2012). Reading between the lines: An empirical examination of qualitative attributes of financial analysts’ reports. Journal of Accounting and Public Policy, 31(1), 1 - 21. https://doi.org/10.1016/J.JACCPUBPOL.2011.10.010. Vuković, B., Peštović, K., Mirović, V., Jakšić, D. & Milutinović, S. (2022). The analysis of company growth determinants based on financial statements of the European companies. Sustainability (Switzerland), 14(2), 770. https://doi.org/10.3390/su14020770. Yamaguchi, K. (2003). ‘Principle of Accounting System Dynamics - Modeling Corporate Financial Statements -’, in. 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