Interactions between industrial development and environmental protection dimensions of Sustainable Development Goals (SDGs): Evidence from 40 countries with different income levels
Suyu Liu
Abstract
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Suyu Liu
Abstract
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Abstract This article explores the interactions between industrial development and environmental protection dimensions of Sustainable Development Goals (SDGs). In consideration of the suitability and data availability, this article uses the SDG indicators 9.2.1 (manufacturing value-added per capita) and 12.4.1 (E-waste per capita) as the two indicators to reflect industrial development and environmental protection under the SDGs framework. Based on a cross-country data source, this article examines the correlation between manufacturing value-added per capita and E-waste per capita in forty countries across four income levels as defined by the World Bank. The results show that the manufacturing value-added per capita and E-waste per capita increase with the countries’ income levels. In addition, the positive correlation between manufacturing value-added per capita and electronic waste (E-waste_ per capita) becomes weaker with the increase of the countries’ income levels, and for high-income countries the correlation turns negative. This provides evidence to partially support the Environmental Kuznets Curve, which demonstrates the ‘inverted-U shape’ relationship between economic development and environmental protection. It also generates a number of implications on the monitoring and management of SDG indicators. In consideration of the interactions between different SDGs (including targets and indicators), a holistic, multi-disciplinary, and cross-departmental management and monitoring of SDG indicators is recommended.
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Abstract This article explores the interactions between industrial development and environmental protection dimensions of Sustainable Development Goals (SDGs). In consideration of the suitability and data availability, this article uses the SDG indicators 9.2.1 (manufacturing value-added per capita) and 12.4.1 (E-waste per capita) as the two indicators to reflect industrial development and environmental protection under the SDGs framework. Based on a cross-country data source, this article examines the correlation between manufacturing value-added per capita and E-waste per capita in forty countries across four income levels as defined by the World Bank. The results show that the manufacturing value-added per capita and E-waste per capita increase with the countries’ income levels. In addition, the positive correlation between manufacturing value-added per capita and electronic waste (E-waste_ per capita) becomes weaker with the increase of the countries’ income levels, and for high-income countries the correlation turns negative. This provides evidence to partially support the Environmental Kuznets Curve, which demonstrates the ‘inverted-U shape’ relationship between economic development and environmental protection. It also generates a number of implications on the monitoring and management of SDG indicators. In consideration of the interactions between different SDGs (including targets and indicators), a holistic, multi-disciplinary, and cross-departmental management and monitoring of SDG indicators is recommended.
Key concepts: Per capita, Per capita income, Sustainable development, Kuznets curve, Economics, Value (mathematics), Business, Added value