-, Husna (2017) Pemodelan Investasi Daerah di Indonesia dengan Pendekatan Regresi Spasial Data Panel. Undergraduate thesis, Intistut Teknologi Sepuluh Nopember.
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Abstract
Melemahnya perekonomian Indonesia pada tahun 2015, salah satunya disebabkan oleh melambatnya pertumbuhan investasi yang mencapai -3,1% quartal on quartal. Melambatnya per-tumbuhan investasi tersebut disebabkan minimnya kepercayaan investor untuk menanamkan modal di Indonesia. Namun pada 2016, pemerintah pusat melalui Badan Koordinasi Penanaman Modal menargetkan peningkatan jumlah investasi yang cukup drastis. Dengan demikian, pemerintah daerah diharapkan dapat meningkatkan daya saing investasi daerahnya dengan mem-pertimbangkan unsur iklim investasi. Oleh karena itu, penelitian ini bertujuan untuk mendapatkan model investasi berdasarkan unsur iklim investasi di Indonesia. Dimana penelitian ini meng-gunakan data dari tahun 2011 sampai 2015 serta melibatkan 33 provinsi di Indonesia. Sehingga metode yang digunakan untuk pemodelan tersebut adalah regresi spasial data panel. Hasil analisis menunjukkan bahwa model terbaik adalah model Spatial Autoregressive (SAR) random effect dengan menggunakan pem-bobot Queen Contiguity dengan R2 sebesar 83,75%. Model tersebut menggambarkan bahwa jumlah investasi dipengaruhi oleh Indeks Pembangunan Manusia (IPM) dan jumlah pasokan listrik dengan nilai elastisitasnya adalah 1,2694 dan 0,4634.
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In 2015, Indonesia’s economy weakened is caused by slowing investment growth, thats is -3,1% quartal on quartal. The slowing growth of investments is due to the lack of investor confidence to invest in Indonesia. However, in 2016 the central government through by Investment Coordinating Board targets to increase in the amount of investment is high-up. Thus, local governments are expected to improve the competitiveness of investment and consider the elements of the investment climate. Therefore, this study aims to obtain investment model based on elements of investment climate in Indonesia. Wherein that this research using data from 2011 to 2015 and involving 33 provinces in Indonesia. The method that will be used to modeling this problem is spatial regression of panel data. The result of the analysis revealed that the best model used Spatial Autoregressive (SAR) random effect model by using weighted Queen Contiguity with R2 equal to 83,75%. The model illustrates that the amount of investment is influenced by the Human Development Index (HDI) and the amount of electricity supply with the value of elasticities is 1,2694 and 0,4634.
| Item Type: | Thesis (Undergraduate) |
|---|---|
| Additional Information: | RSSt 519.536 Hus p |
| Uncontrolled Keywords: | Daya Saing, Investasi Daerah, Iklim Investasi, Spasial Panel Data, SAR, Competitiveness, Regional Investment, Investment Climate |
| Subjects: | H Social Sciences > HB Economic Theory > Economic forecasting--Mathematical models. Q Science > QA Mathematics > QA278.2 Regression Analysis. Logistic regression |
| Divisions: | Faculty of Mathematics and Science > Statistics > 49201-(S1) Undergraduate Thesis |
| Depositing User: | Husna Husna |
| Date Deposited: | 14 Dec 2017 04:02 |
| Last Modified: | 05 Mar 2019 07:40 |
| URI: | http://repository.its.ac.id/id/eprint/47951 |
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