Ramadhanti, Eka Nurindah (2019) Analisis Regresi Panel Spasial Pada Indeks Kualitas Lingkungan Hidup (IKLH) Indonesia Tahun 2013-2016. Sarjana thesis, Universitas Brawijaya.
Abstract
Data panel merupakan penggabungan antara data time series dengan data cross section. Pada data panel tidak hanya faktor waktu yang perlu diperhatikan, tetapi sifat spesifik lingkungan dari setiap wilayah juga diperlukan karena terdapat sifat dependensi spasial (ketergantungan) antar provinsi yang digambarkan dengan kemiripan sifat dari wilayah yang berdekatan. Model Spatial Autoregressive (SAR) memiliki arti bahwa variabel dependen bergantung pada variabel dependen yang teramati di unit tetangga dan sekumpulan karakter lokal yang teramati. Pada model SAR, terdapat dua pendekatan yaitu Model Fixed Effect Spatial Lag (SAR-FE) dan Model Random Effect Spatial Lag (SAR-RE). Penelitian ini bertujuan untuk memodelkan indeks kualitas lingkungan hidup (IKLH) di 33 provinsi di Indonesia tahun 2013-2016. Hasil menujukkan bahwa model yang tepat yaitu Fixed Effect Spatial Lag (SAR-FE). Dari model SAR-FE diketahui bahwa IKLH di suatu lokasi dipengaruhi oleh rata-rata IKLH di lokasi tetangga, dengan faktor yang berpengaruh yaitu produk domestik regional bruto dan kepadatan penduduk. Selain itu, sifat spesifik antar wilayah dapat dijelaskan oleh perbedaan intersep antar lokasi.
English Abstract
Panel data is a combination of time series data and cross section data. Panel data is not only a time factor that needs to be considered, but the specific nature of the environment of each region is also needed because there are characteristics of spatial dependency (dependency) between provinces which are described by the similarity of properties from adjacent regions. The Spatial Autoregressive (SAR) model means that the dependent variable depends on the dependent variable observed in the neighboring unit and the observed set of local characters. In the SAR model, there are two approaches, namely Fixed Effect Spatial Lag Model (SAR-FE) and Spatial Lag Random Effect Model (SAR-RE). This study aims to model the environmental quality index (IKLH) in 33 provinces in Indonesia in 2013-2016. The results show that the right model is Fixed Effect Spatial Lag (SAR-FE). From the SAR-FE model, it is known that IKLH in a location is influenced by the average IKLH in a neighboring location, with influential factors namely GDP and population density. In addition, specific characteristics between regions can be explained by differences interceps between locations.
Other obstract
-
| Item Type: | Thesis (Sarjana) |
|---|---|
| Identification Number: | SKR/MIPA/2019/65/051910767 |
| Uncontrolled Keywords: | IKLH, PDRB, Kepadatan Penduduk, Investasi, SAR-FE, SAR-RE. IKLH, GDP, Population Density, Investation, SAR-FE, SAR-RE. |
| Subjects: | 500 Natural sciences and mathematics > 519 Probabilities and applied mathematics > 519.5 Statistical mathematics > 519.53 Descriptive statistics, multivariate analysis, analysis of variance and covariance > 519.536 Regression analysis |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam > Statistika |
| Depositing User: | Budi Wahyono Wahyono |
| Date Deposited: | 25 Aug 2020 02:54 |
| Last Modified: | 27 Oct 2021 07:37 |
| URI: | http://repository.ub.ac.id/id/eprint/176824 |
Preview |
Text
Eka Nurindah Ramadhanti (3).pdf Download (3MB) | Preview |
Actions (login required)
 |
View Item |