Governance Capacity and Urban Climate Adaptation Outcomes: Case Study of Jakarta and Hanoi

Technical Summary: Governance Capacity and Urban Climate Adaptation Outcomes

Problem Statement
Urban climate adaptation in Southeast Asia faces significant challenges, including rising incidences of flooding, urban heat, and cyclones that exacerbate socioeconomic vulnerabilities. While adaptation policies and plans exist, a critical gap remains in understanding the link between Governance Capacity (GC) and actual adaptation outcomes. Existing literature suggests that the effectiveness of adaptation depends on institutional coordination and resource mobilization, yet there is limited empirical evidence on how residents perceive the relationship between governance capabilities and the implementation and effectiveness of adaptation strategies. This study addresses this gap by examining the association between perceived governance capacity and two distinct adaptation outcomes: Adaptation Strategy Implementation (AS) and Adaptation Effectiveness (AE).

Methodology
The study employs a comparative quantitative research design involving two Southeast Asian capital cities: Jakarta (Indonesia) and Hanoi (Vietnam). Both cities were selected due to their shared exposure to major flood risks but distinct governance structures and political systems.

• Data Collection: The primary data consists of structured questionnaire responses from 200 residents (100 per city). Respondents were selected using stratified random non-probability sampling across five geographical zones (North, South, East, West, Central) in each city, based on their flood exposure over the preceding 20 years.
• Variables:
  • Independent Variable: Perceived Governance Capacity (GC), measured via a 10-item scale assessing institutional prioritization, coordination, resource mobilization, and transparency.
  • Dependent Variables:
    • Perceived Adaptation Strategy Implementation (AS), measured via a 20-item scale across five domains (flood management, nature-based adaptation, early warning, resilient planning, community adaptation).
    • Perceived Adaptation Effectiveness (AE), measured via an 8-item scale assessing risk reduction, resilience, and environmental improvement.
  • All variables utilize a five-point Likert scale.
• Analytical Approach: Data were analyzed using the R Statistical Programming Language. The analysis included:
  1. Descriptive statistics and Cronbach's alpha for reliability.
  2. Welch's independent t-tests to compare mean scores between cities.
  3. Pearson correlations to assess pairwise associations.
  4. City-specific linear regressions to determine the direction and magnitude of the GC-outcome relationship.
  5. Pooled regression models with interaction terms to test if the association differs significantly between Jakarta and Hanoi.
  6. Sensitivity analysis excluding influential observations (Cook's distance).

Key Results
The study yielded the following statistical findings:

1. Reliability and Internal Consistency: All three variables (GC, AS, AE) demonstrated high internal consistency across both city samples, with Cronbach's alpha coefficients ranging from 0.857 to 0.921.
2. City Comparisons (Mean Scores):
   • Governance Capacity (GC): No statistically significant difference was found between Jakarta (Mean = 3.136) and Hanoi (Mean = 3.239) ($p = 0.197$).
   • Adaptation Strategy Implementation (AS): Hanoi (Mean = 3.424) scored significantly higher than Jakarta (Mean = 3.216) ($p = 0.004$).
   • Adaptation Effectiveness (AE): Hanoi (Mean = 3.359) scored significantly higher than Jakarta (Mean = 3.058) ($p < 0.001$).
3. Correlations and Regression:
   • Hypothesis 1 (GC $\rightarrow$ AS): A positive, statistically significant association was found in both cities. The correlation was stronger in Jakarta ($r = 0.452$) than Hanoi ($r = 0.355$). Regression models showed GC explains 20.5% of the variance in AS for Jakarta and 12.6% for Hanoi.
   • Hypothesis 2 (GC $\rightarrow$ AE): A positive, statistically significant association was found in both cities ($r \approx 0.37$). Regression models showed GC explains 13.7% of the variance in AE for Jakarta and 13.6% for Hanoi.
4. Pooled Interaction: The pooled regression models, including city-by-GC interaction terms, found no statistically significant evidence that the slope of the association between GC and outcomes differs between Jakarta and Hanoi. Sensitivity analyses confirmed these results.
5. Intra-City Variation: Descriptive statistics revealed variations in perceptions across geographical zones within each city (e.g., Central zones generally reported higher scores than peripheral zones), though the study did not establish causal mechanisms for these intra-city differences.

Key Contributions

• Empirical Validation of Perceptions: The study provides empirical evidence that perceived governance capacity is positively associated with perceived adaptation implementation and effectiveness in Southeast Asian capitals.
• Comparative Insight: It demonstrates that while governance capacity levels are perceived similarly in Jakarta and Hanoi, residents in Hanoi perceive higher levels of adaptation implementation and effectiveness.
• Methodological Rigor: The study utilizes a robust mixed-method approach combining descriptive statistics, correlation, and regression with interaction terms to test the stability of the GC-outcome relationship across different political contexts.
• Policy Contextualization: The findings are contextualized with specific policy documents (e.g., Jakarta's Governor Regulation No. 90 of 2021 and Hanoi's Plan No. 06/KH-UBND of 2022), illustrating how formal institutional mandates exist but may translate differently into perceived outcomes.

Significance and Claims
The paper claims that Governance Capacity is an important correlate of perceived adaptation outcomes, but it explicitly does not claim to establish causal relationships or objective measures of climate resilience.

• Modest Claims: The author emphasizes that the study measures resident perceptions rather than objective implementation or loss reduction. The findings suggest that strong governance capacity facilitates the realization of adaptation policies in the eyes of residents, but the existence of policies does not guarantee tangible results.
• Limitations: The study acknowledges limitations including the use of non-probability sampling, the potential influence of translated questionnaires and interpreters, and the cross-sectional design which precludes causal inference.
• Conclusion: The research concludes that while governance capacity is positively associated with adaptation outcomes in both cities, the variation in perceived effectiveness (higher in Hanoi) suggests that factors beyond mere governance capacity—such as specific implementation strategies, maintenance, and community engagement—play critical roles. The study advocates for future research that combines public perception with objective indicators of disaster exposure and infrastructure performance.