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Dynamic Analysis of Environmental Degradation and Economic Activities in the Asia-Pacific Region Lestari, Yova Tri; Kurniawan, Mahrus Lutfi Adi; Khan, Zafar
Journal of Management Studies and Development Vol. 3 No. 02 (2024): Journal of Management Studies and Development
Publisher : The Indonesian Institute of Science and Technology Research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56741/jmsd.v3i02.503

Abstract

Economic growth is crucial for assessing a country's economic success, measured by its per capita income increase over time, primarily through Gross Domestic Product (GDP). This study investigates the impact of Gross Fixed Capital Formation (GFCF), energy consumption, CO2 emissions, and renewable energy on economic growth in the Asia-Pacific region from 2016 to 2021. Using the Difference Generalized Method of Moments (Difference GMM) and Stata 14, the findings show that GFCF positively influences economic growth in developing countries but not significantly in developed ones. Energy consumption positively affects economic growth in developing countries, but not in developed ones. CO2 emissions have no significant impact on economic growth. Renewable energy negatively affects economic growth in developing countries, while its impact is insignificant in developed ones.
Corporate Social Responsibility of Coal Comodity Industry in Indonesia Solihudin, Ahmad Rizal; Danica; Kurniawan, Mahrus Lutfi Adi
BALANCE: Economic, Business, Management and Accounting Journal Vol 21 No 1 (2024): Januari
Publisher : UMSurabaya Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30651/blc.v21i1.2281

Abstract

The concept of Corporate Social Responsibility (CSR) continues to develop following the rapid development of business models and awareness of various groups regarding CSR issues. The implementation of CSR has been carried out by companies at various levels, from multinational, national to local companies, especially in Indonesia. This research aims to analyze the CSR performance of coal companies in Indonesia by measuring leverage, profitability and company size. The data collection method uses content analysis techniques in annual reports of coal companies listed on the IDX. The testing method uses panel data regression. Hypothesis test results show that company size and probability influence corporate social responsibility (CSR). Meanwhile, leverage shows a positive and significant influence on corporate social responsibility (CSR).
ANALISIS VARIABEL MAKROEKONOMI TERHADAP UTANG LUAR NEGERI INDONESIA: PENDEKATAN VAR Dinul, Achmad Amirul; Kurniawan, Mahrus Lutfi Adi
Modus Vol. 36 No. 2 (2024): VOL 36 NO 2 (2024)
Publisher : Faculty of Business and Economics Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/modus.v36i2.8910

Abstract

By undertaking development, a country may accelerate its economic growth and overcome various obstacles. Foreign debt occurs as a part of the policy to fund national projects, to cover budget deficit, and to stimulate economic growth. This study aims to analyze the effects of interest rate, Gross Domestic Product (GDP), exchange rate, and export on foreign debt in the 1970-2021 period. Secondary data were derived from the International Monetary Fund, World Bank, Bank Indonesia, Statistics Indonesia (BPS), and the Ministry of Finance. The variables analyzed in this study were foreign debt, GDP, export, interest rate, and exchange rate from 1970 to 2021. The Vector Autoregressive (VAR) method was used to identify the shock of independent variables responded by foreign debt as the dependent variable. The results showed that there was a positive response from foreign debt to the changes in interest rate and GDP, and a negative response to the changes in exchange rates and export. The improvement in macroeconomic conditions, especially the stability of exchange rate and the increase of export, may improve the trust of creditors and the sustainability of foreign debt. Keywords: foreign debt; exchange rate; export; VAR. Dengan melakukan pembangunan, negara dapat mempercepat pertumbuhan ekonomi dan mengatasi berbagai kendala pembangunan. Utang Luar Negeri (ULN) muncul sebagai kebijakan untuk membiayai proyek nasional, menutup defisit anggaran dan menggerakkan roda perekonomian. Tujuan penelitian ini adalah menganalisis pengaruh suku bunga, Pendapatan Domestik Bruto (PDB), kurs, dan ekspor terhadap ULN pada periode 1970-2021. Data sekunder yang digunakan berasal dari sumber seperti International Monetary Fund (IMF), World Bank, Bank Indonesia, Badan Pusat Statistik (BPS), dan Kementerian Keuangan. Variabel yang dianalisis meliputi ULN, PDB, ekspor, suku bunga, dan kurs dalam rentang waktu 1970 hingga 2021. Penelitian ini menggunakan metode Vector Autoregressive (VAR) untuk mengidentifikasi guncangan dari variabel independen yang direspon oleh ULN sebagai variabel dependen. Hasil penelitian menunjukkan bahwa terdapat respon positif dari ULN terhadap gejolak suku bunga dan PDB, dan respon negatif terhadap gejolak kurs dan ekspor. Penguatan kondisi makroekonomi pada stabilitas nilai tukar dan meningkatkan ekspor dapat meningkatkan kepercayaan kreditor dan keberlanjutan ULN. Kata kunci: utang luar negeri; kurs; ekspor; VAR.
Unveiling Regional Growth Patterns Spatial Heterogeneity and Infrastructure Quality under a Bayesian Framework in Central Java Suripto, Suripto; Salim, Agus; Kurniawan, Mahrus Lutfi Adi; Khasanah, Uswatun; Athfal, Azkal Azkiya
Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Vol 20 No 2 (2025): September 2025
Publisher : Faculty of Economics and Business Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/er.v20i2.17670

Abstract

: This study investigates the impact of infrastructure quality, encompassing roads, clean water distribution, and electricity consumption, on regional economic growth in Central Java from 2018 to 2024. A Bayesian Panel Data Regression model with a hierarchical structure was estimated using the Markov Chain Monte Carlo (MCMC) method, assisted by Python programming, to address spatial heterogeneity, lag effects, and parameter uncertainty. Model validation employed Posterior Predictive Checks (PPC), Bayesian R², R-hat statistics, and Effective Sample Size (ESS). The findings reveal that past GRDP significantly influences current regional economic growth, while the direct effects of infrastructure variables are statistically insignificant. This outcome highlights that infrastructure quality is more important than quantity in promoting development. The study advances empirical methodologies by integrating full posterior inference with predictive validation, representing a state-of-the-art approach in regional economic analysis. The results provide strong evidence in support of formulating infrastructure policies that focus on long-term, sustainable Growth.
Unveiling Regional Growth Patterns Spatial Heterogeneity and Infrastructure Quality under a Bayesian Framework in Central Java Suripto, Suripto; Salim, Agus; Kurniawan, Mahrus Lutfi Adi; Khasanah, Uswatun; Athfal, Azkal Azkiya
Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Vol 20 No 2 (2025): September 2025
Publisher : Faculty of Economics and Business Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32424/er.v20i2.17670

Abstract

: This study investigates the impact of infrastructure quality, encompassing roads, clean water distribution, and electricity consumption, on regional economic growth in Central Java from 2018 to 2024. A Bayesian Panel Data Regression model with a hierarchical structure was estimated using the Markov Chain Monte Carlo (MCMC) method, assisted by Python programming, to address spatial heterogeneity, lag effects, and parameter uncertainty. Model validation employed Posterior Predictive Checks (PPC), Bayesian R², R-hat statistics, and Effective Sample Size (ESS). The findings reveal that past GRDP significantly influences current regional economic growth, while the direct effects of infrastructure variables are statistically insignificant. This outcome highlights that infrastructure quality is more important than quantity in promoting development. The study advances empirical methodologies by integrating full posterior inference with predictive validation, representing a state-of-the-art approach in regional economic analysis. The results provide strong evidence in support of formulating infrastructure policies that focus on long-term, sustainable Growth.