Demographic Transition and Green Economic Transformation: Evidence from India with Insights from Telangana
人口動態の移行とグリーン経済への変革：インドの証拠とテランガーナ州からの洞察 (AI 翻訳)
Dr L Narsimlu
🤖 gxceed AI 要約
日本語
本研究は、インドにおける人口動態の移行とグリーン経済への変革の関係を、テランガーナ州の事例を用いて検証する。固定効果パネル回帰とSystem GMM推定を用いた分析により、労働年齢人口比率の上昇が再生可能エネルギーの拡大と構造変化を通じてグリーン経済変革を促進する一方、従属人口比率の上昇は持続可能性への投資を制約することが示された。テランガーナの事例は、州レベルの政策イニシアチブと人口動態の優位性が低炭素開発に貢献することを示している。
English
This study examines the relationship between demographic transition and green economic transformation in India, using state-level panel data (2005-2023) and a case study from Telangana. Fixed-effects and System GMM regressions show that a higher working-age population share significantly enhances green transformation by supporting renewable energy expansion and structural change, while higher dependency ratios constrain sustainability investments. The findings highlight the time-sensitive opportunity to integrate demographic dynamics with low-carbon development strategies in India.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の人口高齢化とGX投資制約に示唆を与える。特に、労働年齢人口の減少がGX投資に与える影響を考える上で参考になる。ただしインドの成長局面の文脈であり、日本の成熟経済への直接適用は限定的。
In the global GX context
The paper contributes to the global discourse on just transition and demographic dividends in emerging economies, offering quantitative evidence that demographic structure influences green investment capacity. It informs international climate finance and development strategies for countries with favorable age structures.
👥 読者別の含意
🔬研究者:Provides empirical evidence linking demographic structure to green transformation outcomes, useful for researchers studying the intersection of population economics and sustainability transitions.
🏢実務担当者:Corporate sustainability teams in emerging markets may use these findings to anticipate workforce demographics' impact on clean energy investments.
🏛政策担当者:National and subnational policymakers in developing countries can leverage demographic windows for low-carbon development, as illustrated by the Telangana case.
📄 Abstract（原文）
This study examines the relationship between demographic transition and green economic transformation in India, with particular insights from the state of Telangana. While demographic transition theory traditionally emphasizes the role of changing age structures in promoting economic growth, its implications for environmental sustainability remain less explored in developing economies. Using state-level panel data for the period 2005–2023, this research constructs a composite Green Economic Transformation Index (GETI) incorporating indicators such as renewable energy share, emission intensity, and ecological performance. The empirical analysis employs fixed-effects panel regression and dynamic System GMM estimation to evaluate the impact of demographic and structural factors on sustainability outcomes. The results indicate that a higher working-age population share significantly enhances green economic transformation, primarily by supporting renewable energy expansion and facilitating structural economic change. Conversely, higher dependency ratios constrain sustainability investments due to increased fiscal pressures. The findings further show that structural transformation toward industry and services and the expansion of renewable energy play a crucial role in reducing emission intensity. The Telangana case study illustrates how subnational policy initiatives, demographic advantages, and renewable energy expansion can collectively support sustainable development pathways. The study concludes that India’s demographic window presents a time-sensitive opportunity to integrate population dynamics with low-carbon development strategies through coordinated demographic, industrial, and environmental policies.
🔗 Provenance — このレコードを発見したソース
- semanticscholar https://doi.org/10.69889/wm1qxz50first seen 2026-06-10 05:28:04
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