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Climate Protest to Policy: A Time-Series Analysis of the Impact of Protest Events on Policymaking

Lai, Ke-Chieh LU (2024) DABN01 20241
Department of Economics
Department of Statistics
Abstract
As the frequency of natural disasters increases, marked by hotter summers and abnormal ecological changes, climate issues have become impossible to ignore. People are taking to the streets, not only demanding greater awareness but also pushing for meaningful policy changes. This research investigates the relationship between protest events and policymaking within the EU between July 2018 and December 2022 by means of time-series analysis. By building three models with the Poisson regression approach, this thesis looks into how three protest dimensions, the number of events, crowd size and geographical spread, influence policymaking. The findings suggest that protest has a limited impact on policy outcomes and, if any, the impact comes at... (More)
As the frequency of natural disasters increases, marked by hotter summers and abnormal ecological changes, climate issues have become impossible to ignore. People are taking to the streets, not only demanding greater awareness but also pushing for meaningful policy changes. This research investigates the relationship between protest events and policymaking within the EU between July 2018 and December 2022 by means of time-series analysis. By building three models with the Poisson regression approach, this thesis looks into how three protest dimensions, the number of events, crowd size and geographical spread, influence policymaking. The findings suggest that protest has a limited impact on policy outcomes and, if any, the impact comes at around 10 months after the event breakout. Future research should
explore more comprehensive data over longer periods and incorporate additional control variables to deepen understanding. (Less)
Please use this url to cite or link to this publication:
author
Lai, Ke-Chieh LU
supervisor
organization
course
DABN01 20241
year
type
H1 - Master's Degree (One Year)
subject
keywords
protest, policymaking, time-series analysis
language
English
id
9175217
date added to LUP
2024-09-24 08:34:13
date last changed
2024-09-24 08:34:13
@misc{9175217,
  abstract     = {{As the frequency of natural disasters increases, marked by hotter summers and abnormal ecological changes, climate issues have become impossible to ignore. People are taking to the streets, not only demanding greater awareness but also pushing for meaningful policy changes. This research investigates the relationship between protest events and policymaking within the EU between July 2018 and December 2022 by means of time-series analysis. By building three models with the Poisson regression approach, this thesis looks into how three protest dimensions, the number of events, crowd size and geographical spread, influence policymaking. The findings suggest that protest has a limited impact on policy outcomes and, if any, the impact comes at around 10 months after the event breakout. Future research should
explore more comprehensive data over longer periods and incorporate additional control variables to deepen understanding.}},
  author       = {{Lai, Ke-Chieh}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Climate Protest to Policy: A Time-Series Analysis of the Impact of Protest Events on Policymaking}},
  year         = {{2024}},
}