Determinan Deforestasi Negara-Negara Di Kawasan Asia Tenggara Periode 2008-2015

Abstract

This study aims to analyze the process of changing forest area or deforestation that is multidimensional and complex, encompassing economic aspects, aspects of governance, social and demographic aspects and physical and environmental aspects represented by 15 independent variables in 10 countries in Southeast Asia in the year period 2008-2015. The analysis and study besides relying on the theoretical foundation and previous research also included several variables that describe the complexity and multidimensional changes in forest area. However, these efforts are often constrained by incomplete data and data reliability. In contrast to some previous studies which focused more on economic aspects or aspects of population increase that affected changes in forest area. This research also includes aspects of governance and social and demographic aspects as well as environmental aspect which are expected to complement the spectrum and study of the problems of deforestation and forest degradation. The method used in this study uses pooled least squares and a series of tests to produce the best model specifications and estimators. In research that uses a 95% confidence level on p-value at a value of α = 0.05, it was found that from 15 variables there were only 6 (six) variables that significantly affected the increase in the human development index.

Deforestation-induced the EKC framework: The role of corruption control and trade openness in Southeast Asia

“…As Caravaggio (2020b) proposed, governance and trade openness are vital drivers of forest cover change. Moreover, the current study revises the previous paper conducted by Handalani (2019) by employing more expanded panel data (9 countries over the period 1996 -2018). Finally, we also performed the Dumitrescu-Hulin (DH) test to examine panel causality among variables.…”

“…Thuy Van et al (2020) reported that controlling corruption has a beneficial role in achieving sustainable development. For the case of Southeast Asia, Handalani (2019) noted that the effect of corruption perceptions index (CPI) on forest cover is positive. Nonetheless, Mendes and Junior (2012) reported found that corruption has no significant impact on deforestation rates in the Amazon Rainforest in Brazil.…”

“…To the best of our knowledge, testing the EKC hypothesis for deforestation in Southeast Asia using a comprehensive panel method is still neglected. The previous articles by Thi & Nguyen (2018), Handalani (2019), andKustanto (2022) solely employed a within estimator (fixed effect model), which ignored some critical issues in panel data, i.e., dynamics processes and heterogeneity slope (Hill et al, 2020). Hence, this paper uses the Pooled Mean Group (PMG) estimator that can perform better in long panels (𝑇 > 𝑁).…”

Analisis Indeks Pembangunan Manusia (Ipm) Di Negara Asean

“…Faktanya, salah satu indeks keberhasilan proses pembangunan serta implementasi tugas dan fungsi pemerintahan di berbagai negara adalah meningkatnya kemakmuran masyarakat dan menurunnya tingkat kemiskinan. Para ahli berpendapat bahwa pembangunan pada hakikatnya merupakan interaksi yang diharapkan dapat mengubah konstruksi masyarakat serta memutus lingkaran kemiskinan yang tak berujung, seperti yang digambarkan oleh Handalani (2019) dan Freire (2013) dalam Mizal (2021). Rini & Sugiharti (2016) menekankan bahwa pembangunan bertujuan untuk memperluas aksesibilitas, menumbuhkan peruntukan kebutuhan hidup yang mendasar, meningkatkan taraf kehidupan dan mengembangkan pilihan finansial dan sosial.…”

Pengaruh Konsumsi Energi dan Deforestasi Terhadap Output Nasional Lima Negara Anggota ASEAN

“…Dari tabel 4 dapat diketahui bahwa tidak ada pengaruh yang positif dan signifikan antara deforestai dengan output nasional (PDB) di lima negara anggota ASEAN pada tahun 2002-2018, hal ini ditunjukan dengan nilai 𝑡 ℎ𝑖𝑡𝑢𝑛𝑔 < 𝑡 𝑡𝑎𝑏𝑒𝑙 (1.249527 < 1.99006), nilai probabilitas t-statistik 0.2153 > 0.05 dan nilai koefisien untuk variabel emisi CO2 sebesar 0.062500. Penelitian yang dilakukan oleh (Handalani, 2019) menyebutkan bahwa kerusakan hutan sebagai akibat dari proses pembangunan secara linear tidak mendorong pertumbuhan ekonomi. Penelitian lain yang dilakukan oleh (Imai dkk., 2018) menyebutkan bahwa faktor yang menjadi penyebab deforestasi terbesar di kawasan ASEAN adalah bertambahnya jumlah penduduk sehingga kebutuhan lahan untuk tempat tinggal, pembukaan pertanian sekala kecil dan perkebunan mendorong untuk membuka areal hutan.…”