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The Effect of The Total Value Of Exports, Imports and Economic Growth on Exchange Rate With State Governance As a Variable Moderating In Southeast Asia 2009-2019 Murady, Iklimah; Oktarina, Kurnia; Ghafur, Muhammad; Wau, Taosige; Umam, Khotibul
Optimum: Jurnal Ekonomi dan Pembangunan Vol. 12 No. 1 (2022)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/optimum.v12i1.5736

Abstract

The purpose of this study is to determine the effect of independent variables such as exports, imports, and economic growth on the dependent variable in the form of the exchange rate by using the variable of state governance as a moderating variable. The data used is panel data The population of this study is a Southeast Asian country. The sampling technique in this study was taken using purposive sampling. Data analysis in this study used the Chow, Housman, and MRA test analysis methods using Stata13 software. The results are based on the best Random Effect Model (REM) model, that is, there is no significant effect of exports and imports on the exchange rate Meanwhile, economic growth, and state governments have a significant effect on the exchange rate based. However, based on the MRA test, the variable of state governance strengthens the relationship between these three variables (exports, imports, and economic growth) on the exchange rate.
Economic Growth in OIC Countries: The Role of Political Stability Hikam, Ahmad Nailul; Wau, Taosige; Wibowo, Muhammad Ghafur; Muhdir, Ibnu
Economics Development Analysis Journal Vol 13 No 1 (2024): Economics Development Analysis Journal
Publisher : Economics Development Department, Universitas Negeri Semarang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Economic growth is an important indicator to assess the economic condition of a country. Various factors greatly influence economic growth, and one of the important factors is the country's political stability. This study aims to analyze the factors affecting OIC countries' economic growth. These factors are foreign direct investment, trade openness, human capital, tourism, and political stability. This study uses panel data from 28 OIC countries during the 2006-2020-time span. This study estimates the model using the Generalized Method of Moment (GMM) analysis technique. The estimation results show that all independent variables have a significant positive effect on the economic growth of OIC countries except foreign direct investment, which produces a negative effect. The interaction between political stability and other variables also produces a significant effect. The interaction effect can strengthen the influence of human capital and tourism on economic growth. The resulting interaction effect between political stability with FDI and trade openness weakens its influence on economic growth. Thus, the high political stability needed to increase economic growth in OIC countries depends on its interaction with other factors in economic growth
ANALISIS DATA REGRESI DUMMY; INDIKASI PENGARUH BEBERAPA FAKTOR KELUARGA MISKIN DI DESA CANDI KECAMATAN MLARAK KABUPATEN PONOROGO Siami, Wahyu Lisma; Wau, Taosige
Sunan Kalijaga: Islamic Economics Journal Vol. 1 No. 1 (2022)
Publisher : Department of Islamic Economics, Faculty of Islamic Economics and Business, Universitas Islam Negeri Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/skiej.2022.1.1.1517

Abstract

ABSTRAK Tujuan penelitian ini adalah untuk mengetahui ciri-ciri dan karateristik keluarga tidak mampu di Desa Candi Kecamatan Mlarak Kabupaten Ponorogo dengan melihat dari factor atau sebab yang mempengaruhinya. Data diambil dari 30 responden yaitu keluarga penerima Bantuan Langsung Tunai Desa Candi Kecamatan Mlarak Kabupaten Ponorogo. Dipilih lima variabel untuk mengetahui karakteristik rumah tangga miskin yaitu dengan variabel dependen jumlah penghasilan perbulan (Y), serta variabel independen jumlah anak (X1), usia (X2), jenis kelamin (D1), pendidikan terakhir (E1, E2, E3, E4), pekerjaan (F1, F2). Kemudian model yang digunakan adalah model regresi dummy dengan 2 variabel penelitian yaitu variabel dependen (respon) dan juga variable independent (predictor). Hasil regresi dengan menggunakan regresi dummy yaitu jumlah anak (X1) yaitu nilai signifikansi 0.799 dan β1 adalah -68351.761, usia (X2) yaitu nilai signifikansi 0.418 dan β2 adalah 25624.720, dummy jenis kelamin (D1) yaitu nilai signifikansi 0.221 dan β3 adalah 685314.519, dummy pendidikan terakhir (E1) yaitu nilai signifikansi 0.204 dan β4 adalah 1079368.495, dummy variabel pendidikan terakhir (E2) yaitu nilai signifikansi 0.825 dan β5 adalah 321338.290, dummy variabel pendidikan terakhir (E3) yaitu nilai signifikansi 0.477 dan β6 adalah 737030.666, dummy variabel pendidikan terakhir (E4) yaitu nilai signifikansi 0.623 dan β7 adalah 975884.879, dummy pekerjaan (F1) yaitu nilai signifikansi 0.471 dan β8 adalah 673582.791, dummy pekerjaan (F2) yaitu nilai signifikansi 0.545 dan β9 adalah 719940.534. Sehingga dapat disimpulkan bahwa variabel bebas yaitu usia, jumlah anak, jenis kelamin, pendidikan, pekerjaan berpengaruh terhadap variabel terikat yaitu jumlah penghasilan setiap bulan, serta terjadinya ketidak merataan penghasilan di Desa Candi Kecamatan Mlarak Kabupaten Ponorogo.
Tourism Business Recovery Strategy Post Covid-19 Pandemic in South Nias Regency: Strategi Pemulihan Bisnis Pariwisata Pasca Pandemi Covid-19 di Kabupaten Nias Selatan Wau, Taosige
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 4 (2025): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/95w36e82

Abstract

Pendemi Covid-19 telah memberikan dampak yang cukup berarti pada berbagai sektor ekonomi di luruh dunia, dan sektor yang sangat terdampak adalah sektor pariwisata. Penelitian ini bertujuan untuk menganalisis strategi pemulihan bisnis pariwisata pasca pandemic covid-19 di kabupaten Nias Selatan. Penelitian ini menggunakan data primer yang dikumpulkan menggunakan metode in-depth interview dan penyebaran kuesioner. Metode analisis yang data yang digunakan adalah metode AHP. Penelitian ini menunjukkan bahwa strategi utama yang dibutuhkan untuk memulihkan bisnis pariwisata di Kabupaten Nias Selatan pasca pandemic covid-19 adalah peningkatan kualitas dan kuantitas infrastruktur penungnjang bisnis pariwisata, peningkatan promosi dan pemasaran potensi wisata, serta peningkatan kualitas pengelola bisnis pariwisata di Kabupaten Nias Selatan.
Determinants of Agricultural Productivity: Analysis of the Welfare of Agrarian Countries Basri; Ramadhani, Muhammad Akbar; Prasasti, Riska; Atkiyan, Fahrul Hudatil; Baihaqi, M. A Sahal; Wau, Taosige
Jurnal Ilmu Ekonomi Terapan Vol. 10 No. 2 (2025)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jiet.v10i2.66239

Abstract

Objective: This study aims to analyze the determinants of agricultural productivity and their impact on the welfare of agricultural countries. Agricultural productivity plays a pivotal role in the economic development of agricultural economies, as their growth largely depends on the performance of the agricultural sub-sector. The research adopts an empirical and quantitative approach to identify the key drivers contributing to productivity enhancement in agriculture. Design/Methods/Approach: The study employs secondary data obtained from reputable sources, including Our World in Data, the World Bank, the Food and Agriculture Organization (FAO), ILOSTAT, and the Economic Research Service. The sample consists of seven countries with the highest agricultural productivity globally, covering the period 2012–2021 based on data availability. The analysis examines the effects of land area, fertilizer consumption, agricultural labor, carbon emissions, and financial development on agricultural productivity. Findings: The results show that land area has a significant negative effect on agricultural productivity, while fertilizer consumption and agricultural labor have significant positive effects. Carbon emissions and financial development exert positive but statistically insignificant effects. These findings suggest that physical inputs and labor remain the main drivers of productivity growth in agricultural economies, whereas environmental and financial factors have yet to exhibit substantial influence. Originality/Value: This study contributes to the literature by comparatively identifying the determinants of agricultural productivity among the world’s most productive agricultural countries. By utilizing cross-country and time-series data, it enriches empirical understanding of how both input and non-input factors shape global agricultural performance, offering insights relevant to food security and sustainable economic development. Practical/Policy implication: The findings provide valuable guidance for policymakers, agricultural practitioners, and stakeholders to promote more efficient agricultural practices through the adoption of modern technologies, improved access to productive inputs such as fertilizers, and capacity-building for agricultural labor. These efforts are crucial to strengthening food security, enhancing farmers’ welfare, and supporting inclusive economic growth in agricultural economies.
Determinants of Economic Growth in 8 ASEAN Countries 2008-2022 Yahya, Padli Pawaid; Wau, Taosige; Badriati , Baiq El
Journal of Developing Economies Vol. 10 No. 2 (2025)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jde.v10i2.73069

Abstract

Objective: This research aims to further examine the influence of investment, corruption, inflation, labor, and trade openness, and it can be seen that these are the determinants of economic growth through several of these variables in the ASEAN region countries for the 2008-2022 period.Methods: Panel data regression is analyzed using three approaches: the Common Effect Model (CEM), the Fixed Effect Model (FEM), and the Random Effect Model (REM). Model selection is determined through the Chow, Hausman, and Lagrange Multiplier tests. Classical assumption tests (normality, multicollinearity, heteroscedasticity, and autocorrelation) and significance tests (F-test, t-test, and R²) are conducted using EViews 10. Findings: Summarize the key results of your analysis. Highlight the main empirical relationships, theoretical outcomes, or trends identified in the study. Focus on the economic significance of these findings, how they contribute to understanding behaviors, mechanisms, or policy effects relevant to the research question. Originality/value: So that statistical results can be found by showing various variants, especially in the variables of corruption and inflation have no effect on economic growth, while the other three variables together, investment, labor and trade openness have a positive and significant effect on economic growth. Practical/Policy implication: Outline the practical implications of your findings for economic policy, regulation, or institutional decision-making. Suggest how policymakers, economists, or public institutions might apply your results. Where applicable, indicate how your research could guide future interventions, policy design, or economic reforms.
DETERMINANTS OF ECONOMIC GROWTH IN THE OIC COUNTRIES: A GMM MODEL Lusiana, Dewi; Wau, Taosige; Wibowo, Muhammad Ghafur; Choiri, Miftakhul; Salic, Jawad Z.
Jurnal Ekonomi dan Bisnis Islam (Journal of Islamic Economics and Business) Vol. 11 No. 2 (2025): JULY - DECEMBER 2025
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jebis.v11i2.74940

Abstract

Development issues are central to countries across the world, regardless of whether they are classified as developed or developing. The success or failure of development efforts is often reflected in the level of a nation’s economic growth, as this indicator serves as a key benchmark for assessing overall economic progress. Therefore, this study aims to have investigated how foreign direct investment (FDI), human capital, trade openness, and corruption influence the economic growth of OIC countries over the period 2012–2023. The analysis employs a dynamic panel framework using the Generalized Method of Moments (GMM). This study found that FDI has a negative and substantial influence on economic growth, that reveals the existence of obstacles to the utilization of foreign investment in the OIC region. In contrast, human capital and trade openness exert to have a favorable and substantial impact on economic growth, whereas corruption reveals to have a negative and substantial influence. The primary contribution of this research lies to having integrated corruption as a key determinant, an aspect that has received to have relatively limited attention in earlier studies on economic growth. Therefore, the policy implications of these outcomes emphasize the importance of implementing structural reforms to improve to have anti-corruption governance and create to have a trade and political environment that supports to have the acceleration of sustainable economic growth in OIC countries.