Cultural proximity conditions the spatial effects of demographic transitions on household energy consumption in China
文化的近接性が中国の世帯エネルギー消費に対する人口転換の空間的効果を条件付ける (AI 翻訳)
Rulong Zhuang, Cong Luo, Chulin Xing, Xiaoyong Zhou
🤖 gxceed AI 要約
日本語
本研究は、2005～2023年の中国30省のパネルデータを用いて、方言境界から導かれた文化的近接性を空間重み行列に組み込み、人口転換が世帯エネルギー消費に与える直接的および空間的波及効果を分析。高齢化と教育水準の上昇は地元のエネルギー消費を抑制するが、都市化は増加させる。また、文化的近接性が空間的波及メカニズムを変容させることを示した。
English
Using panel data from 30 Chinese provinces (2005–2023), this study incorporates cultural proximity derived from dialect boundaries into a spatial Durbin model to examine how demographic transitions affect household energy consumption. Aging and rising education suppress local energy use, while urbanization increases it. Cultural proximity reshapes spatial spillovers, amplifying positive spillovers of aging and education.
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
中国の家庭部門の低炭素化に焦点を当てた実証研究。日本でも世帯のエネルギー消費パターンは重要であり、地域文化や社会ネットワークの影響を考慮した政策設計への示唆となる。
In the global GX context
This paper provides empirical evidence on how informal institutions (cultural proximity) moderate spatial spillovers of demographic changes on household energy consumption. It offers insights for designing regionally tailored low-carbon policies beyond conventional economic factors.
👥 読者別の含意
🔬研究者:Useful for researchers studying spatial spillovers in energy demand, especially the role of cultural or social networks.
🏢実務担当者:Energy planners and sustainability teams can consider local cultural ties when forecasting regional energy demand.
🏛政策担当者:Policymakers should account for cultural proximity in designing differentiated energy transition policies across regions.
📄 Abstract（原文）
Against the backdrop of addressing global climate change, the low-carbon transition of household energy consumption (HEC) has become key to achieving carbon emission reduction targets. Based on panel data from 30 Chinese provinces spanning 2005–2023, this study introduces a cultural proximity factor derived from dialect boundaries to modify the traditional spatial weight matrix and construct a Spatial Durbin Model (SDM). It systematically examines the direct impact of multidimensional demographic transitions on household energy consumption and their spatial spillover mechanisms. The findings reveal:(1) Multidimensional demographic transitions exert significant direct effects on HEC. Specifically, aging and rising educational attainment suppress local energy consumption, while urbanization directly increases local energy demand. (2) Multidimensional demographic transitions generate significant spatial spillover effects on HEC. Urbanization suppresses energy consumption in surrounding areas, whereas aging and rising educational attainment produce significant negative spillover effects. (3) Cultural proximity reshapes the spatial spillover mechanism. Adjustment based on informal social networks amplifies the positive spillover of aging and the energy-saving spillover of education, and to some extent offsets the geographical siphoning effect of urbanization. (4) The aforementioned effects exhibit strong heterogeneity across eastern, central, and western regions; northern and southern regions; areas on either side of the Hu Line; as well as across different energy types and urban-rural structures. This study expands the interdisciplinary research on demographic transition and energy consumption from a multidimensional “structure-space-quality”perspective, revealing the hidden transmission channels of cultural proximityas informal institutional ties in household low-carbon transition.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.6084/m9.figshare.32102110first seen 2026-05-17 04:34:45 · last seen 2026-05-27 04:29:51
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