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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
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How does population agglomeration influence China's energy eco-efficiency? Evidence from spatial econometric

Shucheng Liu1, Peijin Wu2

  • 1School of Statistics and Mathematics, Zhejiang Gongshang University, Hangzhou, 310018, China. 18668061851@163.com.

Environmental Science and Pollution Research International
|May 10, 2023
PubMed
Summary

Population agglomeration boosts urban energy eco-efficiency in China, benefiting surrounding regions. This finding aids sustainable urban development strategies by highlighting the positive impact of concentrated populations on energy efficiency.

Keywords:
Energy eco-efficiencyMediating effectPopulation agglomerationSpatial spilloverTechnological innovation

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Area of Science:

  • Environmental Science
  • Urban Planning
  • Energy Economics

Background:

  • Rapid urbanization in China creates an energy supply-demand imbalance, hindering green urban development.
  • The precise effect of population agglomeration on urban energy eco-efficiency remains insufficiently understood.
  • Existing research often overlooks the spatial dynamics and interactions inherent in urban population concentration.

Purpose of the Study:

  • To quantitatively assess the impact of population agglomeration on urban energy eco-efficiency in China.
  • To investigate the spatial spillover effects of population agglomeration on energy eco-efficiency.
  • To explore the mediating role of technological innovation and heterogeneity in this relationship.

Main Methods:

  • Utilized DMSP/OLS and NPP/VIIRS night lighting data alongside LandScan population data to define 'real urbanized areas' and 'real urbanized populations'.
  • Constructed a dynamic spatial Durbin model using panel data from 260 Chinese cities (2006-2020) to analyze population agglomeration's effects.
  • Incorporated spatial interaction effects of economic behavior and performed endogeneity and robustness tests.

Main Results:

  • Population agglomeration positively influences regional energy eco-efficiency.
  • Significant positive spillover effects of population agglomeration on energy eco-efficiency were observed in surrounding areas.
  • Technological innovation was identified as a key positive mediator in the agglomeration-eco-efficiency relationship.

Conclusions:

  • Population agglomeration is a significant driver for enhancing urban energy eco-efficiency in China.
  • The positive effects of population agglomeration extend beyond city borders, influencing neighboring regions.
  • Policy interventions should consider population dynamics and technological advancement to promote sustainable urban energy management.