Pengaruh Financial Development dan Financial Technology terhadap Shadow Economy: Pendekatan Nonlinier
Date
2026Jenis/Type
SkripsiSubtype
Undergraduate ThesesAuthor
SYAM, NAJWA AULIA
Achsani, Noer Azam
Sari, Linda Karlina
Metadata
Show full item recordAbstract
Shadow economy menjadi permasalahan bagi stabilitas ekonomi karena
aktivitas ekonomi yang tidak tercatat dapat menurunkan keandalan statistik
nasional dan menggerus basis pajak. Perkembangan sektor keuangan dan
teknologi keuangan diharapkan mampu meningkatkan transparansi transaksi dan
mendorong formalisasi ekonomi. Namun, pengaruh keduanya terhadap shadow
economy diduga tidak selalu linier. Penelitian ini bertujuan menganalisis pengaruh
financial development dan financial technology terhadap shadow economy serta
mengidentifikasi pola hubungan nonlinier di negara maju dan berkembang periode
2005–2020. Penelitian ini menggunakan analisis data panel statis dengan fixed
effect model dan driscoll-kraay standard error, dengan variabel utama
diproksikan menggunakan Principal Component Analysis (PCA). Hasil
menunjukkan hubungan inverted U-shaped di negara maju, U-shaped di negara
berkembang, dan S-shaped pada seluruh sampel. Temuan ini menunjukkan bahwa
efektivitas financial development dan financial technology bergantung pada
perkembangan sektor keuangan dan kesiapan institusi. The shadow economy poses a challenge to economic stability because
unrecorded economic activities reduce the reliability of national statistics and
erode the tax base. Financial development and financial technology are expected
to increase transaction transparency and encourage economic formalization.
However, their effects on the shadow economy may be nonlinear. This study
analyzes the effects of financial development and financial technology on the
shadow economy and identifies nonlinear relationship patterns in developed and
developing countries over the period 2005–2020. The study employs static panel
data analysis using a fixed effect model with Driscoll-Kraay standard errors,
while the main variables are proxied using Principal Component Analysis (PCA).
The results indicate an inverted U-shaped relationship in developed countries, a
U-shaped relationship in developing countries, and an S-shaped relationship for
the full sample. These findings suggest that the effectiveness of financial
development and financial technology depends on financial sector development
and institutional readiness.

