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影響を条件付ける (AI 翻訳)
Rulong Zhuang, Cong Luo, Chulin Xing, Xiaoyong Zhou
🤖 gxceed AI 要約
日本語
本研究は、中国30省の2005～2023年のパネルデータを用い、方言境界から導いた文化的近接性要素を空間重み行列に組み込んだ空間ダービンモデルを構築。人口転換（高齢化、教育向上、都市化）が世帯エネルギー消費に与える直接効果と空間波及効果を分析し、文化的近接性がこれらの波及メカニズムを変容させることを明らかにした。
English
Using panel data from 30 Chinese provinces (2005-2023), this study introduces cultural proximity (dialect boundaries) into a Spatial Durbin Model. It finds that aging and education suppress local household energy consumption while urbanization increases it, with significant spatial spillovers mediated by cultural networks. The results show heterogeneity across regions and energy types.
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
中国の世帯エネルギー消費の低炭素化に関する実証研究だが、空間的波及効果に文化的近接性を導入した手法は、日本の地域エネルギー計画やコミュニティベースの政策立案にも示唆を与える。
In the global GX context
This paper demonstrates how informal institutional ties (cultural proximity) reshape spatial spillovers of demographic transitions on energy consumption. It offers a novel methodological approach for global energy transition research, particularly in countries with diverse cultural regions.
👥 読者別の含意
🔬研究者:Spatial econometricians and energy demand modelers can adopt the cultural proximity adjustment for spatial weights.
🏛政策担当者:Policymakers in China can use the findings to design region-specific energy transition strategies accounting for cultural ties.
📄 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.32102110.v1first seen 2026-05-17 04:39:21 · last seen 2026-05-27 04:29:56
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