Millawati, Novita (2018) Pemodelan Ekonometrika Spasial Menggunakan Matriks Pembobot Spasial Metode Queen’s Move Contiguity Dan Rook Contiguity (Studi Kasus Pada Data Tingkat Kemiskinan Kabupaten/Kota Di Provinsi Jawa Timur Tahun 2016). Sarjana thesis, Universitas Brawijaya.
Abstract
Kemiskinan merupakan salah satu permasalahan pembangunan yang timbul di negara berkembang, seperti Indonesia. Jumlah penduduk miskin di Indonesia berfluktuasi dari tahun ke tahun, termasuk di Provinsi Jawa Timur. Salah satu upaya yang dilakukan untuk mengatasi masalah ini adalah dengan menentukan faktor-faktor yang berpengaruh terhadap kemiskinan. Penelitian ini fokus pada pemodelan tingkat kemiskinan dengan pendekatan ekonometrika spasial sehingga diharapkan dapat menjelaskan efek spasial, baik langsung maupun tidak langsung, terhadap tingkat kemiskinan pada masing-masing kabupaten/kota di Jawa Timur. Matriks pembobot spasial yang digunakan adalah matriks pembobot spasial metode
English Abstract
Poverty is one of the development problems that arise in developing countries, such as Indonesia. The number of poor people in Indonesia fluctuates from year to year, including in East Java Province. One of the efforts made to overcome this problem is to determine the factors that affect poverty. This research focuses on poverty level modeling with spatial econometrics approach so that it is expected to explain the spatial effect, either directly or indirectly, to the level of poverty in each regency or city in East Java. The spatial weighting matrix used is the spatial weighting matrix of Queen's Move Contiguity method and Rook Contiguity since both can be applied in East Java Province. The observed aspect of poverty is limited to only three sectors of education, unemployment and productivity. The best model for poverty is Spatial Lag X (SLX) using Queen's Move Contiguity method as spatial weighted matrix. Changes in literacy rates and soybean productivity directly affect poverty levels in the same districts or cities, while literacy rates and soybean productivity in other districts indirectly affect poverty levels in adjacent districts or municipalities.
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/FMIPA/2018/21/051800534 |
| Uncontrolled Keywords: | Ekonometrika Spasial, |
| Subjects: | 500 Natural sciences and mathematics > 519 Probabilities and applied mathematics > 519.5 Statistical mathematics |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam > Statistika |
| Depositing User: | Nur Cholis |
| Date Deposited: | 08 Feb 2018 04:24 |
| Last Modified: | 22 Oct 2021 06:30 |
| URI: | http://repository.ub.ac.id/id/eprint/8808 |
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