Scholarlink

<p>As rising CO<sub>2</sub> emissions drive global environmental concerns, addressing climate change and ensuring sustainable development requires a nuanced understanding of the relationship between economic development and environmental degradation. This study introduces the sectoral complexity index (SCI) to measure and analyze the sophistication of individual economic sectors and examines their influence on CO<sub>2</sub> emissions across 127 countries from 1995 to 2020. By refining the environmental Kuznets curve (EKC) hypothesis through a sectoral lens, the research uses a cross-sectional quantile regression to capture sector-specific environmental dynamics at varying stages of economic development. The results reveal heterogeneous patterns across sectors and income groups. Key industries, such as <i>Iron &amp; Steel</i>, <i>Machinery</i>, <i>Metal Products</i>, and <i>Mining &amp; Quarrying</i> show reduced CO<sub>2</sub> emissions with increased sophistication. Notably, the <i>Iron &amp; Steel</i> and <i>Machinery</i> sectors exhibit a strong transition to lower emissions at the upper-middle-income level, while such transitions in the <i>Metal Products</i> and <i>Mining &amp; Quarrying</i> sectors occurs at the high-income level. These results underscore the sectoral and income-specific dynamics of the environment-economy relationship, highlighting the importance of targeted policies that promote technological innovation and green energy transition in energy-intensive sectors. By offering deeper insights into the interplay between economic development and environmental sustainability, this research contributes to the discourse on the environment–economy relationship and informs policy strategies aimed at fostering sustainable economic development.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Sectoral economic complexity and environmental degradation: a sectoral perspective on the EKC hypothesis

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年6月5日

查看全文
  • Sebastian Montagna,
  • Liqiao Huang,
  • Yin Long,
  • Yoshikuni Yoshida

摘要

As rising CO2 emissions drive global environmental concerns, addressing climate change and ensuring sustainable development requires a nuanced understanding of the relationship between economic development and environmental degradation. This study introduces the sectoral complexity index (SCI) to measure and analyze the sophistication of individual economic sectors and examines their influence on CO2 emissions across 127 countries from 1995 to 2020. By refining the environmental Kuznets curve (EKC) hypothesis through a sectoral lens, the research uses a cross-sectional quantile regression to capture sector-specific environmental dynamics at varying stages of economic development. The results reveal heterogeneous patterns across sectors and income groups. Key industries, such as Iron & Steel, Machinery, Metal Products, and Mining & Quarrying show reduced CO2 emissions with increased sophistication. Notably, the Iron & Steel and Machinery sectors exhibit a strong transition to lower emissions at the upper-middle-income level, while such transitions in the Metal Products and Mining & Quarrying sectors occurs at the high-income level. These results underscore the sectoral and income-specific dynamics of the environment-economy relationship, highlighting the importance of targeted policies that promote technological innovation and green energy transition in energy-intensive sectors. By offering deeper insights into the interplay between economic development and environmental sustainability, this research contributes to the discourse on the environment–economy relationship and informs policy strategies aimed at fostering sustainable economic development.