Analysis of Obstacles For Mangosteen Agro-Industry Revitalization In Karacak Agropolitan Area, Indonesia: An Interpretive Structural Modeling Approach

Parwa Oryzanti, Wardah Wardah, Marwan Setiawan, Riska Ayu Purnamasari, Rini Kusumawaty, Ratna Purwaningsih, Ernan Rustiadi

Abstract


This study aims to identify and propose solutions to the obstacles faced in the study of Karacak Agropolitan Revitalization based on Mangosteen agroindustry in Bogor Regency as outlined in a structural model. The revitalization of agro-industry-based agropolitan areas is studied through science, technology, and innovation which are then formulated and analyzed with the Interpretive Structural Modeling Method. Primary data were collected through expert-based surveys and questionnaires from seven relevant and representative government agencies to formulate policy studies. This research resulted in a study of 9 sub-elements of constraints and found 1 key sub-element, arrange hierarchically based on its importance. At the most critical level, we identified the government's political will towards agro-industrial development incentives and disincentive programs in agropolitan areas. This study recommends the government start an integrated agropolitan area revitalization program by utilizing local biological resources. The systems model approach will facilitate sustainable development at the village level, promoting inclusive economic growth and resilience.

 

Keywords: Agropolitan, Barriers, Interpretive Structure Modeling, Mangosteen Agroindustry.

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Aczél, J., & Saaty, T. L. (1983). Procedures for synthesizing ratio judgements. Journal of Mathematical Psychology, 27(1), 93–102. https://doi.org/10.1016/0022-2496(83)90028-7

Aghion, P., David, P. A., & Foray, D. (2009). Science, technology and innovation for economic growth: Linking policy research and practice in “STIG Systems.” Research Policy, 38(4), 681–693. https://doi.org/10.1016/j.respol.2009.01.016

Andreas, F. (2006). Survey Article: The Legitimacy Deficits of the European Union. Pol. Philos. 14(4), 441-468. http://dx.doi.org/10.1111/j.1467-9760.2006.00244.x

Angeli, A., Lattarulo, P., Palmieri, E., & Pazienza, M.G. (2023). Tax evasion and tax amnesties in regional taxation. Econ. Pol. 40(1), 343-369. http://dx.doi.org/10.1007/s40888-023-00297-9

Arditi, D., & Alavipour, S. M. R. (2019). Trends in Expectations about Duties and Responsibilities of Construction Managers. Journal of Construction Engineering and Management, 145(7). https://doi.org/10.1061/(asce)co.1943-7862.0001661

Asmaraa, A. Y., & Kusumastutib, R. (2021). Innovation Policy Implementation in Indonesia: Perspective of Triple Helix. Journal of STI Policy and Management, 6(1), 1-19

Austin, J.E. (1981). Agroindustrial Project Analysis. EDI Series in Economic Development. Washington DC: Washington Pr.

Baer, K., Le Borgne, E. (2008). Tax amnesties. Theory, trends, and some alternatives. Washington, DC: International Monetary Fund.

Banerjee, S.B. (2008). Corporate social responsibility: The good, the bad and the ugly. Crit. Sociol. 34(1), 51-79.

Bekkers, V.J.J.M., & Arthur R.E. (2007). "Legitimacy and Democracy." In Governance and the Democratic Deficit, edited by V.Bekkers, G. Dijkstra, A. Edwards, and M. Fenger, 35–60. Aldershot: Ashgate.

Çipi, A., Fernandes, A.C.R., Ferreira, F.A., Ferreira, N.C., & Meidutė-Kavaliauskienė, I. (2023). Detecting and developing new business opportunities in society 5.0 contexts: A sociotechnical approach. Technol. Soc. 73, 102243. http://dx.doi.org/10.1016/j.techsoc.2023.102243

Darko, F.A., Palacios-Lopez, A., Kilic, T., & Ricker-Gilbert, J. (2018). Micro-level welfare impacts of agricultural productivity: Evidence from rural Malawi. Dev. Stud. 54(5), 915-932. https://doi.org/10.1080/00220388.2018.1430771

da Silveira, F., da Silva, S.L.C., Machado, F.M., Barbedo, J.G.A., & Amaral, F.G. (2023). Farmers' perception of barriers that difficult the implementation of agriculture 4.0. Agric. Syst. 208, 103656.

De Marinis, P. & Sali, G. (2020). Participatory analytic hierarchy process for resource allocation in agricultural development projects. Evaluation and program planning, 80, p.101793.

Dirman, E.N., Saleng, A., & Sapiddin, A.S.A. (2018). Food agricultural land legal protection to improve food security in Indonesia. In IOP Conference Series: Earth and Environmental Science 196(1), 012047. IOP Publishing.

Dong, F., & Zheng, L. (2022). The impact of market-incentive environmental regulation on the development of the new energy vehicle industry: a quasi-natural experiment based on China's dual-credit policy. Environ. Sci. Pollut. Res. 29(4), 5863-5880. https://link.springer.com/article/10.1007%2Fs11356-021-16036-1

Eriyatno. (2012). Systems Science: Improving Management Quality and Effectiveness. Larasati L, editor. Bogor: IPB Pr.

Espinosa, M.F. (2023). Rethinking Multilateralism and Global Development. Glob. Perspect. 4(1).

European Union (2019). Food and agriculture sector overview. Retrieved December 5, 2019, from. https:// ec.europa.eu/europeaid/sectors/food-and-agriculture_en

Fadhiela, K., Rachmina, D., & Winandi, R. (2018). Transaction costs and analysis of farmers' profits in the Gayo arabica coffee warehouse receipt system in Central Aceh Regency. Indonesian Agribus. 6(1), 35-46. http://dx.doi.org/10.29244/jai.2018.6.1.49-60

Fatkhiati, S., Tjiptoherijanto, P., Rustiadi, E., & Thayib, M.H. (2015). Sustainable agropolitan management model in the highland of tropical rainforest ecosystem: the case of Selupu Rejang agropolitan area, Indonesia. Proced. Environ. Sci. 28, 613–622. http://dx.doi.org/10.1016/j.proenv.2015.07.072

Follesdal, A. (2006). The legitimacy deficits of the European Union. Journal of Political Philosophy, 14(4), 441-468.

Friedmann, J., & DOUGLAS, M. (1978). Agropolitan Development: Towar a new Strategy for Regional Development Policy.

Fukuda, K. (2019). Science, technology and innovation ecosystem transformation toward Society 5.0. Int. Prod. Econ. 220, 1-14. http://dx.doi.org/10.1016/j.ijpe.2019.07.033

Gilligan, D.O. (2012). Biofortification, agricultural technology adoption, and nutrition policy: Some lessons and emerging challenges. CESifo Economic Studies, 58(2), 405-421.

Goodin, Robert E., & John S. Dryzek. (2006). Deliberative Impacts: The Macro-Political Uptake of Mini-Publics. Pol. Soc. 34(2), 219–44. http://dx.doi.org/10.1177/0032329206288152

Grashuis, J., & Dary, S.K. (2017). An empirical investigation of patent and trademark ownership propensity and intensity in the US food and drink industry. Int. Food Agribus. Manag. Rev. 20(5), 747-764. http://dx.doi.org/10.22434/IFAMR2017.0001

Iotti, M., & Bonazzi, G. (2023). Financial Sustainability in Agri-Food Companies: The Case of Members of the PDO Parma Ham Consortium. Sustainability (Switzerland), 15(5). https://doi.org/10.3390/su15053947

Jacob, R. (2015). Responsibility and accountability. Anaesthesiol. Clin. Pharmacol. 31(1), 1–3.

Johnson, G.F. (2015). Democratic Illustion. Toronto: University of Toronto Press.

Kazemi, H., Sadeghi, S., & Akinci, H. (2016). Developing a land evaluation model for faba bean cultivation using geographic information system and multi-criteria analysis (A case study: Gonbad-Kavous region, Iran). Ecol. Indi. 63, 37-47. http://dx.doi.org/10.1016/j.ecolind.2015.11.021

Klijn, E.H., & Edelenbos, J. (2013). The influence of democratic legitimacy on outcomes in governance networks. Administr. Soc. 45(6), 627-650. http://dx.doi.org/10.1177/0095399712454113

Klijn, E.H., & Koppenjan, J. (2016). The shift toward network governance: Drivers, characteristics and manifestations. In Theory and practice of public sector reform (pp. 158-177). Routledge. http://dx.doi.org/10.4324/9781315887098

Kok, K. P. W., & Klerkx, L. (2023). Addressing the politics of mission-oriented agricultural innovation systems. Agricultural Systems, 211. https://doi.org/10.1016/j.agsy.2023.103747

Koppmair, S., Kassie, M., & Qaim, M. (2017). Farm production, market access and dietary diversity in Malawi. Pub. Health Nutr. 20(2), 325-335. https://doi.org/10.1017/S1368980016002135

Kovács, G. (2008). Corporate environmental responsibility in the supply chain. Clean. Prod. 16(15), 1571-1578. http://dx.doi.org/10.1016/j.jclepro.2008.04.013

Kumar, A., Pramanik, M., Chaudhary, S., & Negi, M.S. (2021). Land evaluation for sustainable development of Himalayan agriculture using RS-GIS in conjunction with analytic hierarchy process and frequency ratio. Saudi Soc. Agric. Sci. 20(1), 1-17. http://dx.doi.org/10.1016/j.jssas.2020.10.001

Kumar, S., Raut, R.D., Nayal, K., Kraus, S., Yadav, V.S., & Narkhede, B.E. (2021). To identify industry 4.0 and circular economy adoption barriers in the agriculture supply chain by using ISM-ANP. Clean. Prod. 293, 126023. http://dx.doi.org/10.1016/j.jclepro.2021.126023

Lamba, N., & Thareja, P. (2021). Modeling of barriers pertaining to implementation of green supply chain management using ISM approach. Materials Today: Proc. 43, 9-16. http://dx.doi.org/10.1016/j.matpr.2020.09.488

Lantos, G.P. (2001). The boundaries of strategic corporate social responsibility. Consumer Mark. 18(7), 595-632. http://dx.doi.org/10.1108/07363760110410281

Latapí Agudelo, M.A., Jóhannsdóttir, L., & Davídsdóttir, B. (2019). A literature review of the history and evolution of corporate social responsibility. Int. J. of Corp. Soc. Responsib. 4(1), 1-23. https://jcsr.springeropen.com/articles/10.1186/s40991-018-0039-y

Machfud, M. (2001). Group Decision Support Model Engineering With Fuzzy Logic For Essential Oil Agroindustry Development Systems. Dissertation. Graduate Program. Bogor Agricultural Institute.

McCann, P., Ortega-Argilés, R., Sevinc, D. & Cepeda-Zorrilla, M. (2023). Rebalancing UK regional and industrial policy post-Brexit and post-Covid-19: Lessons learned and priorities for the future. Regional Studies, 57(6), pp.1113-1125.

Michels, A., & Binnema, H. (2018). Deepening and connecting democratic processes. The opportunities and pitfalls of mini-publics in renewing democracy. Soc. Sci. 7(11), 236. http://dx.doi.org/10.3390/socsci7110236

Mosquera-Vásquez, T., Combariza-González, J., Cuéllar-Gálvez, D. & Melgar-Quiñonez, H. (2022). Differential elements of a successful agricultural innovation scaling-up model. Evaluation and Program Planning, 94, p.102116

Nandal, V., Kumar, R., & Singh, S.K. (2019). Barriers identification and analysis of solar power implementation in Indian thermal power plants: An Interpretive Structural Modeling Approach. Renew. Sustain. Energy Rev. 114, 109330.

Nagy, K., & Hajrizi, E. (2019). Building pillars for adapting society 5.0 in post-conflict countries. IFAC-PapersOnLine, 52(25),40-45. http://dx.doi.org/10.1016/j.ifacol.2019. 12. 443

Nederhand, J., & Edelenbos, J. (2023). Legitimate public participation: AQ methodology on the views of politicians. Pub. Administr. Rev. 83(3), 522-536. http://dx.doi.org/10.1111/puar.13556

Olorunfemi, T.O., Olorunfemi, O.D., & Oladele, O.I. (2020). Determinants of the involvement of extension agents in disseminating climate smart agricultural initiatives: Implication for scaling up. J. Saudi Soc. Agric. Sci. 19(4), 285-292. https://doi.org/10.1016/j.jssas. 2019.03.003

Oryzanti, P. (2019). Policy Study on Sustainable Karacak Agropolitan Area Development Based on Mangosteen Agroindustry. Dissertation. Graduate School. Bogor Agricultural University.

Oryzanti, P., Rustiadi, E., Eriyatno, E., & Rochman, N.T. (2019). Economic Development of Mangosteen Agro-Industry Based on Sustainability. JEJAK: Jurnal Ekonomi dan Kebijakan, 12(1), 33-53. http://dx.doi.org/10.15294/jejak.v12i1.17677

Oryzanti, P., Rustiadi, E., Eriyatno, E., & Rochman, N.T. (2018a). Policy priorities for the economic development in agropolitan area of Karacak Based on Mangosteen Agroindustry. Am. J. Applied Sci. 15(11), 489-496. http://dx.doi.org/10.3844/ajassp.2018.489.496

Oryzanti, P., Rustiadi, E., Eriyatno, E., & Rochman, N.T. (2018b). Sustainability Level of Agropolitan Region Development of Karacak in Bogor Regency. Int. Sci. : Basic and Applied Res. 41(2), 1-15.

Purnamasari, R.A., Ahamed, T., & Noguchi, R. (2019). Land suitability assessment for cassava production in Indonesia using GIS, remote sensing and multi-criteria analysis. Asia-Pac. Reg. Sci. 3, 1-32. http://dx.doi.org/10.1007/978-981-19-0213-0_4

Puolitaival, T., & Kähkönen, K. (2022, November). The modern way of performing construction management responsibilities. In IOP Conference Series: Earth and Environmental Science (Vol. 1101, No. 4, p. 042019). IOP Publishing.

Puolitaival, T., Kähkönen, K., & Kestle, L. (2023). The framing of construction management responsibilities in job advertisements in the UK and the USA. Construct. Manag. Econ. 41(4), 307-321. http://dx.doi.org/10.1080/01446193.2022.2156569

Purwanto, Y. (2022). Sacred Forests, Sacred Natural Sites, Territorial Ownership, and Indigenous Community Conservation in Indonesia. In Sacred Forests of Asia, 261-276. Routledge. http://dx.doi.org/10.4324/9781003143680-24

Rezaee, M.J., Yousefi, S., & Hayati, J. (2019). Root barriers management in development of renewable energy resources in Iran: An interpretive structural modeling approach. Energy Pol. 129, 292-306.

Rustiadi, E., Pribadi, D.O., Pravitasari, A.E., Nurdin, M., Iman, L.S., Panuju, D.R., Saad, A., Rosandi, V.B., & Anthony, D. (2023a). Developing a precision spatial information system of smallholder oil palm plantations for sustainable rural development. In IOP Conference Series: Earth and Environmental Science. 1133(1), 012072. IOP Publishing. http://dx.doi.org/10.1088/1755-1315/1133/1/012072

Rustiadi, E., Pravitasari, A.E., Priatama, R.A., Singer, J., Junaidi, J., Zulgani, Z., & Sholihah, R.I. (2023b). Regional Development, Rural Transformation, and Land Use/Cover Changes in a Fast-Growing Oil Palm Region: The Case of Jambi Province, Indonesia. Land. 12(5), 1059. https://doi.org/10.3390/land12051059

Saaty, T.L. (1980). Analytic Hierarchy Process. New York: McGraw-Hill.

Saaty, T.L. (1977). A scaling method for priorities in hierarchical structures. Math. Psychol. 15, 234-281.

Santana, W.B., Pereira, L.M., Freires, F.G.M., & Maués, L.M.F. (2023). Analysis of the barriers to the adoption of green buildings labels in Brazil by the validated Interpretive Structural Modeling (VISM) technique. Clean. Prod. 414, 137642.

Sasaki, Y. (2022). Strategic manipulation in group decisions with pairwise comparisons: A game theoretical perspective. European J. Oper. Res. http://dx.doi.org/10.1016/j.ejor.2022.05.015

Saxena, J. P., Sushil, P., & Vrat, P. (1992). Hierarchy and classification of program plan elements using ISM: a case study in the Indian cement industry. Syst. Pract, 5, 651.

Scharpf, F. (1999). Governing in Europe: Effective and democratic?. http://dx.doi.org/10.1017/S0143814X99320249

Sgroi, F. (2022). Cooperation and innovation in Italian agribusiness between theoretical analysis and empirical evidence. Agric. Food Res. 10, 100406. http://dx.doi.org/10.1016/j.jafr.2022.100406

Shen, B., Yang, X., Xu, Y., Ge, W., Liu, G., Su, X., & Ran, Q. (2023). Can carbon emission trading pilot policy drive industrial structure low-carbon restructuring: new evidence from China. Environ. Sci. Pollut. Res. 1-17. https://doi.org/10.1007/s1135 6−023−25169−4

Sinaga, R., Simangunsong, B.C., Liebman, A., & Tambunan, A.H. (2019). Analysis of barriers in supplying electricity using interpretive structural modeling. Energ. Strateg. Rev. 25, 11-17. http://dx.doi.org/10.1016/j.esr.2019.04.011

Sumrit, D., & Jongprasittiphol, O. (2023). Exploring barriers in supply chain disaster management using fuzzy total interpretive structure modeling approach: Insight from Thai automotive industry. Asia Pac. Manag. Rev.

Sundari, R. I., Chariri, A., & Utomo, D. C. (2022). Does Tax Awareness Mediate Tax Amnesty and Tax Authorities toward Tax Compliance? Quality - Access to Success, 23(190), 269–277. https://doi.org/10.47750/QAS/23.190.29

Susanty, A., Purwanggono, B., & Putri, V. A. (2021). The barriers to the implementation of intelligent transportation system at Semarang City. In Procedia Computer Science (Vol. 191, pp. 312–319). Elsevier B.V. https://doi.org/10.1016/j.procs.2021.07.068

Traore, O., Wei, C., & Rehman, A. (2022). Investigating the performance of agricultural sector on well-being: New evidence from Burkina Faso. Saudi Soc. Agric. Sci. 21(4), 232-241. http://dx.doi.org/10.1016/j.jssas.2021.08.006

Tuni, A., Rentizelas, A., & Chipula, G. (2022). Barriers to commercialise produce for smallholder farmers in Malawi: An interpretive structural modeling approach. Rural Stud. 93, 1-17. http://dx.doi.org/10.1016/j.jrurstud.2022.05.003

Vishwakarma, A., Dangayach, G.S., Meena, M.L., & Gupta, S. (2022). Analysing barriers of sustainable supply chain in apparel & textile sector: A hybrid ISM-MICMAC and DEMATEL approach. Clean. Logist. Supply Chain. 5, 100073. http://dx.doi.org/10.1016/j.clscn.2022.100073

Wang, Y., Xu, S., & Meng, X. (2023). Environmental protection tax and green innovation. Environ. Sci. Pollut. Res. 30(19), 56670-56686. http://dx.doi.org/10.1007/s11356-023-26194-z

Warfield, J.N. (1974). Developing subsystem matrices in structural modeling. IEEE Transactions on Systems, Man, and Cybernetics, (1), 74-80.

Whitten, S. M., & Coggan, A. (2013). Market‐based Instruments and Ecosystem Services: Opportunity and Experience to Date. Ecosystem services in agricultural and urban landscapes, 178-193.

Wu, M., Wu, Y., He, J., Xu, M., Zhang, T., & Liu, F. (2022). Barrier identification, analysis and solutions of hydrogen energy storage application in multiple power scenarios based on improved DEMATAL-ISM approach. Int. Hydrog. Energ. 47(71), 30329-30346. http://dx.doi.org/10.1016/j.ijhydene.2022.07.009

Zhou, M., Huang, W. & Mardani, A. (2023). Examining the relationships between supply, demand, and environmental policies for science and technology innovation using a system simulation model. Journal of Innovation & Knowledge, 8(3), p.100395.




DOI: http://dx.doi.org/10.14203/STIPM.2024.381

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