Maximising the Contribution of Mining to Sustainable Development in Indonesia
Notice bibliographique
Résumé
As a mineral-rich country, Indonesia may benefit from the strong growth of world mineral demand. However, it needs to be coupled with resource governance actions that enable the country to use the opportunity well. Mining can generate many benefits, but poor management may result in mining working against sustainable development. Sustainable development in mining, or sustainable mining, emphases on efforts to maximise the benefits of mining and minerals projects for sustainable development while at the same time improving environmental and social sustainability. This thesis constructs legitimate arguments, emphasise this study's relevance in the context of space and time globally and confirms the importance of this study for the country. The elaborations are devided into three main chapters (4,5, and 6). The thesis first specifically focuses to analyse socioeconomic impacts and sustainability of mining, by exploring the lessons learnt from the historical tin mining on Singkep Island in Indonesia. Tin mining was the only major industry on the island from 1812-1992. A 27 question survey with 170 respondents, semi-structured interviews, and statistical data analysis were used to analyse the impacts during active mining and after closure. This research finds that tin mining contributed around 65% -90% of the local economy, provided 2 452 out of 8 716 direct jobs, operated 2 out of 39 primary schools, built infrastructure and controlled the hospital, airport, power plant and piped water. Despite the significant contributions of during the active mining, substantial mining benefits turned very quickly into long-term losses after closure. Job opportunities became unemployment, economic contributions became economic collapse, and infrastructure assets became liabilities. Environmental degradation was a negative impact during and after mining. Education was relatively unaffected because most children attended state schools. This case highlights two important, perhaps the most central, challenges in mining governance: sudden mine closure and mining dependency. In addition to the case of Singkep Island, two worldwide case studies in which mining regions faced sudden mine closure were then reviewed: Blyvooruitzicht, South Africa (gold mining 1942 - 2013), and Sussex, Canada (potash mining 1983-2016). Singkep Island and Blyvooruitzicht represent unsustainable development where mining benefits were lost soon after closure. The Sussex case study concerns a mining region that maintained sustainable growth despite the sudden mine closure. The results of this comparison shows that unsustainable development is still the main threat in mining regions worldwide, not least because of the risk of unplanned closure. There are few published in-depth case studies of unplanned closure situations, despite the significant number of mines that subject to sudden and premature closure. In this section, this research finds that the sudden mine closure would have devastating impacts if mining regions had at least one of these preconditions: lack of economic diversification, job (opportunities and skill) dependent on mining, massive environmental degradation, and low human capital. A combination of these may arise when a weak government exist and the mining industry's attractiveness often blocks the awareness that these preconditions are already rooted in the region. This study suggests the following avoiding these preconditions: ensuring early shared-use of mining infrastructure, using mining facilities to improve local workforce skills, ongoing community engagement, and implementation of progressive closure and preparation of a contingency plan. These mitigation strategies to generate resilient mining communities are not the sole responsibility of mining companies. They require strengthening the government role, with regional governments and communities taking more significant initiatives. Finally, this thesis analyses regional mining dependency in five mining regions in Indonesia and considered how countries could improve the governance of their mining sectors to ensure that they contribute to sustainable development. Gross Regional Domestic Product data from 2000 to 2017 show that four mining regions, namely Mimika, Luwu Timur, Kutai Kartanegara, and Muara Enim, have a positive story of increasing mining revenues but still have high resource dependency. Kolaka is moving to be more dependent on mining. The regions are vulnerable to socioeconomic setbacks that may happen anytime and be related to global issue beyond their control, such as commodity prices crashes or global actions to combat climate change. Limited fiscal capacity, ineffective spending of mineral revenue, and irresponsible operation of mines are the challenges facing Indonesia. This thesis further proposes recommendations for the country to help mining regions grow out of resource dependence. The country should maximise mineral revenues through downstream integration and formalisation of ASM activities. It should also introduce a heavily regulated distribution and allocation policy for adequate mineral revenue spending. The country needs also promote strong institutions involved in resource governance and transparency to ensure practical policy implementations, eliminate mineral revenue losses, eradicate corruptions and minimise environmental rehabilitation costs because of irresponsible mining operations. Although the recommendations in this thesis mainly made in reference to Indonesia, other countries or mining regions can adapt the points suggested here to fit their context.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».