Agent-based input–output interdependency model

Oliva, Gabriele; Panzieri, Stefano; Setola, Roberto

doi:10.1016/j.ijcip.2010.05.001

Cited by 64 publications

(24 citation statements)

References 9 publications

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“…In other words, IO models prove to be a good starting point in connecting an aggregate economic system with a fine level of detail in interactions between economic agents. A recent example of an ABM coupled with an IO model is the study of Nat Hazards (2017) 87:287-305 297 Oliva et al (2010). Here the authors aim to capture the infrastructure interdependencies by decomposing each infrastructure into a set of interconnected elements and considering the exchange of resources between them.…”

Section: Combining Cge and Io Models With Abms For Disaster Impact Anmentioning

confidence: 99%

Household migration in disaster impact analysis: incorporating behavioural responses to risk

Husby

Koks

2017

Nat Hazards

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Detailed estimates of economy-wide disaster losses provide important inputs for disaster risk management. The most common models used to estimate losses are inputoutput (IO) and computable general equilibrium (CGE) models. A key strength of these models is their ability to capture the ripple effects, whereby the impacts of a disaster are transmitted to regions and sectors that are not directly affected by the event. One important transmission channel is household migration. Changes in the spatial distribution of people are likely to have substantial impacts on local labour and housing markets. In this paper, we argue that IO and CGE models suffer from limitations in representing household migration under disaster risk. We suggest combining IO and CGE models with agent-based models to improve the representation of migration in disaster impact analysis.

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Section: Combining Cge and Io Models With Abms For Disaster Impact Anmentioning

confidence: 99%

Household migration in disaster impact analysis: incorporating behavioural responses to risk

Husby

Koks

2017

Nat Hazards

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“…Lebih lanjut Oliva et al (2010), model Input-Output didasarkan pada pendekatan bahwa hubungan interdependensi antara suatu sektor dengan sektor lainnya dalam perekonomian dapat dinyatakan dalam persamaan linear. Secara khusus, input-output merupakan alat analisis untuk menilai perubahan struktural dalam perekonomian, dalam hal hubungan antara sektor ekonomi (Reis and Rua, 2006), proses perencanaan (Mangiri, 2000), dan karakteristik struktur ekonomi wilayah (Nasution dkk., 2000).…”

Section: Pendahuluanunclassified

Analisis Peranan Sektor Perikanan Dalam Mendukung Program Minapolitan Di Provinsi Gorontalo: Model Input-Output

Arifin

Suryawati

2017

Jurnal Sosial Ekonomi Kelautan dan Perikanan

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ABSTRAKIntegrasi ekonomi yang menyeluruh dan berkesinambungan di antar semua sektor produksi merupakan salah satu kunci keberhasilan pembangunan ekonomi. Data sekunder berupa tabel inputoutput Propinsi Gorontalo tahun 2011 digunakan dalam penelitian ini. Penelitian ini bertujuan untuk: (1) Menganalisis peran sektor perikanan dan keterkaitan kedepan serta kebelakang (forward and backward linkage) dalam perekonomian wilayah; dan (2) Mengetahui indeks daya penyebaran dan indeks derajat kepekaan pada kegiatan sektor perikanan. Metode analisis deskriptif, analisis keterkaitan, dan analisis daya penyebaran serta derajat kepekaan digunakan dalam penelitian ini. Hasil kajian menggambarkan bahwa sektor perikanan budidaya penyebarannya hampir merata, dengan jumlah permintaan seluruhnya mencapai Rp. 0,373 trilyun. Dari sisi penawaran menunjukkan bahwa wilayah pesisir Provinsi Gorontalo mampu berperan menyediakan produksi perikanan sebesar Rp. 0,280 trilyun (75,03%) dari seluruh penawaran/penyediaan produk, kekurangannya yakni sebesar Rp. 36.061 juta (9,65%) harus dipasok dari luar Provinsi Gorontalo. Permintaan akhir sektor perikanan paling banyak digunakan untuk konsumsi rumahtangga dan ekspor yaitu masing-masing sebesar 58,49%, dan 5,95%. Kontribusi sektor perikanan memberikan nilai input primer yang relatif kecil, yaitu sebesar Rp. 0,280 trilyun (6,61%) di bawah rata-rata per sektor Rp. 0,424 trilyun. Sektor perikanan dapat dikategorikan efisien (tingkat efisiensi 75,03%), paling efisien dibandingkan semua sektor maupun rata-rata total efisiensi sektor kegiatan di Provinsi Gorontalo yang besarnya 53,66%. Koefisien keterkaitan langsung kebelakang sektor perikanan budidaya adalah 0,153159, nilai keterkaitan langsung ke depan adalah 0,107750, sedangkan nilai indeks daya penyebaran sebesar 0,8742 dan nilai indeks derajat kepekaan sebesar 0,8249. Melalui pengembangan sentra perikanan terpadu, keterkaitan antar sektor dapat dimanfaatkan secara optimal. Hal tersebut dapat dilaksanakan melalui program "Minapolitan Berbasis Perikanan Budidaya".

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“…Santos & Haimes (2004) introduced a demand-reduction model that analysed the effects the inoperability of the sectors had on the demand of other sectors and also proposed a regional analysis within the IIM. Some of the important developments of IIMs include the consideration of inventories and their effect on the dynamic IIM (DIIM) (Barker and Santos, 2010) and agent-based IIM (Oliva et al, 2010). We will consider DIIM and Fuzzy IIM in more detail.…”

Section: Inoperability Modelsmentioning

confidence: 99%

A fuzzy dynamic Inoperability Input–output Model for strategic risk management in Global Production Networks

Niknejad

Petrov́ić

2016

International Journal of Production Economics

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Strategic decision making in Global Production Networks (GPNs) is quite challenging, especially due to the unavailability of precise quantitative knowledge, variety of relevant risk factors that need to be considered and the interdependencies that can exist between multiple partners across the globe.In this paper, a risk evaluation method for GPNs based on a novel Fuzzy Dynamic Inoperability Input Output Model (Fuzzy DIIM) is proposed. A fuzzy multi-criteria approach is developed to determine interdependencies between nodes in a GPN using experts' knowledge. An efficient and accurate method based on fuzzy interval calculus in the Fuzzy DIIM is proposed. The risk evaluation method takes into account various risk scenarios relevant to the GPN and likelihoods of their occurrences. A case of beverage production from food industry is used to showcase the application of the proposed risk evaluation method. It is demonstrated how it can be used for GPN strategic decision making.

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Agent-based input–output interdependency model

Cited by 64 publications

References 9 publications

Household migration in disaster impact analysis: incorporating behavioural responses to risk

Household migration in disaster impact analysis: incorporating behavioural responses to risk

Analisis Peranan Sektor Perikanan Dalam Mendukung Program Minapolitan Di Provinsi Gorontalo: Model Input-Output

A fuzzy dynamic Inoperability Input–output Model for strategic risk management in Global Production Networks

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