Report on Indonesia Mining Sector Diagnostic
The Mining sector diagnostic (MSD) is a tool the World Bank has developed to: (1) comprehensively assess the laws, policies, and regulations in a country's mining sector; and (2) identify the strengths and weaknesses of the institutions that a...
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World Bank, Washington, DC
2019
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Online Access: | http://documents.worldbank.org/curated/en/704581575962514304/Report-on-Indonesia-Mining-Sector-Diagnostic http://hdl.handle.net/10986/33087 |
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okr-10986-330872021-05-25T09:43:05Z Report on Indonesia Mining Sector Diagnostic Indonesian Mining Institute MINING NATIONAL DEVELOPMENT PLAN MINING LAW REGULATION TAX REVENUE STAKEHOLDER CONSULTATION COAL MINERAL EXPORTS The Mining sector diagnostic (MSD) is a tool the World Bank has developed to: (1) comprehensively assess the laws, policies, and regulations in a country's mining sector; and (2) identify the strengths and weaknesses of the institutions that administer` the laws, policies, and regulations and monitor and regulate the sector. The Indonesia MSD collects and shares information on the nation's mining sector's management structure and governance. It analyzes the rules and policies that exist in the mining sector and the gap between those rules and their implementation in practice. For the government to optimize the management of and benefits stream from its mining industry, it agrees to receive support from the World Bank to undertake policy analysis and design reforms through the Natural Resources for Development (NR4D) program. This report is organized as follows: an introduction, followed by chapter 2, which provides an overview of the mining sector in Indonesia, its importance in the overall economy, the main institutional roles and responsibilities, and the legal and regulatory framework governing the sector. Chapter 3 presents a high-level summary of the results of the MSD, discussing the data as aggregated into the MSD dashboard and analyzing implementation gaps between de jure and de facto performance. Chapter 4 discusses the detailed findings regarding the strengths and weaknesses of Indonesia's mining sector. The MSD also assesses the context and enabling environment of the mining sector, the results of which are presented in chapter 5. Chapter 6 analyzes stakeholder priorities defined as those areas that respondents identified as key priority areas, reforms in which would have a significant impact on improving the contribution of the mining sector to sustainable economic development and the well-being of the entire population. Chapter 7 concludes with a summary of sector strengths. 2019-12-24T15:04:34Z 2019-12-24T15:04:34Z 2018-11-01 Report http://documents.worldbank.org/curated/en/704581575962514304/Report-on-Indonesia-Mining-Sector-Diagnostic http://hdl.handle.net/10986/33087 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Economic & Sector Work Economic & Sector Work :: Mining/Oil and Gas East Asia and Pacific Indonesia |
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Foreign Institution |
institution |
Digital Repositories |
building |
World Bank Open Knowledge Repository |
collection |
World Bank |
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English |
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MINING NATIONAL DEVELOPMENT PLAN MINING LAW REGULATION TAX REVENUE STAKEHOLDER CONSULTATION COAL MINERAL EXPORTS |
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MINING NATIONAL DEVELOPMENT PLAN MINING LAW REGULATION TAX REVENUE STAKEHOLDER CONSULTATION COAL MINERAL EXPORTS Indonesian Mining Institute Report on Indonesia Mining Sector Diagnostic |
geographic_facet |
East Asia and Pacific Indonesia |
description |
The Mining sector diagnostic (MSD) is a
tool the World Bank has developed to: (1) comprehensively
assess the laws, policies, and regulations in a
country's mining sector; and (2) identify the strengths
and weaknesses of the institutions that administer` the
laws, policies, and regulations and monitor and regulate the
sector. The Indonesia MSD collects and shares information on
the nation's mining sector's management structure
and governance. It analyzes the rules and policies that
exist in the mining sector and the gap between those rules
and their implementation in practice. For the government to
optimize the management of and benefits stream from its
mining industry, it agrees to receive support from the World
Bank to undertake policy analysis and design reforms through
the Natural Resources for Development (NR4D) program. This
report is organized as follows: an introduction, followed by
chapter 2, which provides an overview of the mining sector
in Indonesia, its importance in the overall economy, the
main institutional roles and responsibilities, and the legal
and regulatory framework governing the sector. Chapter 3
presents a high-level summary of the results of the MSD,
discussing the data as aggregated into the MSD dashboard and
analyzing implementation gaps between de jure and de facto
performance. Chapter 4 discusses the detailed findings
regarding the strengths and weaknesses of Indonesia's
mining sector. The MSD also assesses the context and
enabling environment of the mining sector, the results of
which are presented in chapter 5. Chapter 6 analyzes
stakeholder priorities defined as those areas that
respondents identified as key priority areas, reforms in
which would have a significant impact on improving the
contribution of the mining sector to sustainable economic
development and the well-being of the entire population.
Chapter 7 concludes with a summary of sector strengths. |
format |
Report |
author |
Indonesian Mining Institute |
author_facet |
Indonesian Mining Institute |
author_sort |
Indonesian Mining Institute |
title |
Report on Indonesia Mining Sector Diagnostic |
title_short |
Report on Indonesia Mining Sector Diagnostic |
title_full |
Report on Indonesia Mining Sector Diagnostic |
title_fullStr |
Report on Indonesia Mining Sector Diagnostic |
title_full_unstemmed |
Report on Indonesia Mining Sector Diagnostic |
title_sort |
report on indonesia mining sector diagnostic |
publisher |
World Bank, Washington, DC |
publishDate |
2019 |
url |
http://documents.worldbank.org/curated/en/704581575962514304/Report-on-Indonesia-Mining-Sector-Diagnostic http://hdl.handle.net/10986/33087 |
_version_ |
1764477990686687232 |