class: center, middle, inverse, title-slide .title[ # .hi-green[Electoral Systems and Geographically-Targeted Oversight:] ] .subtitle[ ## .smallest.hi-slate[Evidence from Taiwan Legislative Yuan] ] .author[ ###
Yen-Chieh Liao and Li Tang
] .author[ ### .tiny[University of Birmingham and University of Reading] ] .author[ ### .tiny[2025 APSA] ] .date[ ### .tiny[13 September 2025] ] --- exclude: true --- layout: true # .tiny[Overview] --- name:overview - .small.hi-grey[**Motivation & Research Question:**]<br> -- .small[How does Taiwan's SNTV→SMD electoral reform affect legislators' particularistic behaviors?] -- - .small.hi-grey[**Data:**] <br> + .small[63,748 parliamentary questions from 402 district legislators (two decades)]<br> -- + .small[Focus on geographically targeted questions (GTQs) — .blue[__content that addresses constituency-specific geographical interests and demands__]] -- - .small.hi-grey[**Method & Empirical Strategy:**] <br> .small[Fine-tuned transformer models to identify geographically targeted content + regression analysis] -- - .small.hi-grey[**Major Finding:**] <br> + .small[SNTV → SMD transition reduces GTQs, with variation across municipalities by socioeconomic characteristics] <br> + .small[SNTV demonstrates greater particularistic responsiveness than SMD] --- layout: true # .tiny[Motivation] --- name:why-pq __What We Know:__ -- - .small.hi-grey[Established:] <br> Different candidate-centered systems (SNTV v.s. SMD) create varying incentives for personal reputation (e.g., Shugart and Wattenberg, 2001; Shugart, 2005; Grofman et al., 1999).<br> -- - .small.hi-grey[Electoral System Literature:] Studies on manifestos (e.g., Catalinac, 2016a,b; Crisp et al., 2024), legislative voting (e.g., Liao, 2024), political deliberation (e.g., Motolinia, 2021; Høyland and Søyland, 2019) and legislation (e.g., Decadri et al., 2022). -- __Gap__ - .small.hi-grey[**Missing:**] Previous studies focus on legislative outputs/campaign promises, not ongoing behavior -- - .small.hi-grey[**Opportunity:**] Systematic evidence on SNTV→SMD transitions Japan <br> -- → Taiwan's reform provides anotehr ideal case study --- layout: true --- name:why-pq <br> <br> <br><br> <br> ### .center[*Two important debates in candidate-centered electoral system literature*] --- layout: true # .tiny[Debates Ⅰ] --- name:why-pq __Does SNTV → SMD Reduce Particularistm?__ -- .small.hi-grey[**The Literature:**] - SNTV's intraparty competition encourages → personal reputation → particularistic appeals<br> -- - SMD's interparty competition promotes programmatic appeals to broader coalition .small[(e.g., Cain 1987; Carey 1995; Cox 1997; Duverger 1954; Catalinac 2016)] -- .small.hi-grey[**Japan Evidence:**] Shift from pork-barrel to programmatic campaigning .small[(Catalinac 2016) and issue coverge on copartisan on manifesto (Catalinac 2017)] -- .small.hi-grey[**Taiwan Evidence:**] Particularistic behavior persists or increases .small[(Liao et al. 2013; Luor and Shieh 2009)] -- > **Hypothesis 1.** Due to the elimination of intraparty competition and the necessity to appeal to broader constituencies, __legislators elected under MMM are less likely to submit GTQs compared to those elected under the SNTV system.__ --- layout: true # .tiny[Dabate ⅠⅠ] --- name:why-pq __Do Geographic Conditions Moderate Electoral System Effects?__ -- - .small.hi-grey[Local Socioeconomic Conditions:]<br> Economic challenges/homogeneity may override institutional incentives - .small.hi-grey[Evidence:] <br> Unemployment, manufacturing concentration affect legislative behavior .small[(Rickard 2012; Cayton 2022; Harden 2013)] -- > **Hypothesis 2.** While MMM reduces GTQs compared to SNTV, __this effect is moderated by local socioeconomic characteristics__. --- layout: true # .tiny[Data: Two Decades of Parliamentary Questions] --- name:why-pq __Our Dataset__ - .small.hi-grey[**Scope:**] 63,748 parliamentary questions from 402 district legislators (20-year period) from SNTV to MMM, focusing on district constituencies only (excluding CLPR and indigenous constituencies) -- __Why Parliamentary Questions?__ - .small.hi-grey[**Advantages:**] Continuous evidence of policy priorities throughout terms .small[(Martin 2011; Saalfeld 2011)] - .small.hi-grey[**vs. Floor Debates:**] No time limits or strict party discipline constraints .small[(Proksch 2011; Martin 2010)] - .small.hi-grey[**vs. Manifestos:**] Captures actual legislative behavior, not just campaign promises .small[(Stafford 2025)] -- __Taiwan's Institutional Design__ - .small.hi-grey[**Compusalsoiry:**] Mandatory 20-day response requirement enhances strategic use - .small.hi-grey[**Build personal reputation:**] national policy vs local constituency needs --- layout: true # .tiny[Transformer-Based Detection of GTQ Content] --- name:why-pq <div style="margin-top: -20px;"> .pull-left[ <img src="./images/train-data.png" width="95%" style="display: block; margin: auto;" /> ] -- .pull-right[ <img src="./images/train-split.png" width="100%" style="display: block; margin: auto;" /> ] --- <br><br> <img src="./images/train-split.png" width="95%" style="display: block; margin: auto;" /> --- <br><br> <img src="./images/train-split-3.png" width="95%" style="display: block; margin: auto;" /> --- <br><br> <img src="./images/train-split-1.png" width="95%" style="display: block; margin: auto;" /> --- <br><br> <img src="./images/train-split-2.png" width="95%" style="display: block; margin: auto;" /> --- <div style="margin-top: -20px;"> .pull-left[ <img src="./images/train-data.png" width="95%" style="display: block; margin: auto;" /> ] .pull-right[ <img src="./images/train-split.png" width="100%" style="display: block; margin: auto;" /> ] <div style="margin-top: -20px;"> -- .pull-left[ <img src="./images/performance.png" width="99%" style="display: block; margin: auto;" /> ] --- <br> <img src="./images/performance.png" width="95%" style="display: block; margin: auto;" /> --- <br> <img src="./images/performance1.png" width="95%" style="display: block; margin: auto;" /> --- <br> <img src="./images/performance2.png" width="95%" style="display: block; margin: auto;" /> --- <br> <img src="./images/performance3.png" width="95%" style="display: block; margin: auto;" /> --- <br> <img src="./images/performance4.png" width="95%" style="display: block; margin: auto;" /> --- <div style="margin-top: -20px;"> .pull-left[ <img src="./images/train-data.png" width="95%" style="display: block; margin: auto;" /> ] .pull-right[ <img src="./images/train-split.png" width="100%" style="display: block; margin: auto;" /> ] <div style="margin-top: -20px;"> .pull-left[ <img src="./images/performance.png" width="99%" style="display: block; margin: auto;" /> ] -- .pull-right[ <img src="./images/PQ.png" width="90%" style="display: block; margin: auto;" /> ] --- layout: true # .tiny[Performance on Held-out data] --- name:why-pq <br><br> .pull-left[ <img src="./images/val-set.png" width="95%" style="display: block; margin: auto;" /> ] .pull-right[ <img src="./images/val-setb.png" width="95%" style="display: block; margin: auto;" /> ] --- <br><br> .pull-left[ <img src="./images/val-set2.png" width="95%" style="display: block; margin: auto;" /> ] .pull-right[ <img src="./images/val-setb2.png" width="95%" style="display: block; margin: auto;" /> ] --- layout: true # .tiny[Posthoc Validation] --- name:data <img src="./images/keyness.png" width="90%" style="display: block; margin: auto;" /> --- <img src="./images/keyness-2.png" width="90%" style="display: block; margin: auto;" /> --- <img src="./images/keyness-3.png" width="90%" style="display: block; margin: auto;" /> --- <img src="./images/keyness-4.png" width="90%" style="display: block; margin: auto;" /> --- layout: true # .tiny[Dependent Variable: Proportion of GTQs] --- name:dv <br><br> .pull-left[ .small[**Definition**] `$$\small{\text{Proportion of GTQs}_{i,t} = \frac{\text{GTQs}_{i,t}}{\text{Total Questions}_{i,t}} \times 100}$$` .small[**Refine**] - .small[63,748 total parliamentary questions] - .small[8,992 high-confidence GTQs (14%)] - .small[95% confidence threshold for precision] ] .pull-right[ .small[**Sample Coverage**] - .small[**Unit of Analysis**: Legislator-year] - .small[**Time Period**: 1999-2019] - .small[SNTV period: 1999-2008] - .small[MMM period: 2008-2019] - .small[**Final Sample**: 2,809 district observations] - .small[Excludes CLPR and indigenous constituencies] ] --- <br><br> .pull-left[ .small[**Definition**] `$$\small{\text{Proportion of GTQs}_{i,t} = \frac{\text{GTQs}_{i,t}}{\text{Total Questions}_{i,t}} \times 100}$$` .small[**Refine**] - .small[63,748 total parliamentary questions] - .small[8,992 high-confidence GTQs (14%)] - .small[95% confidence threshold for precision] ] .pull-right[ .small[**Sample Coverage**] - .small[**Unit of Analysis**: .blue[__Legislator-year__]] - .small[**Time Period**: 1999-2019] - .small[SNTV period: 1999-2008] - .small[MMM period: 2008-2019] - .small[**Final Sample**: 2,809 district observations] - .small[Excludes CLPR and indigenous constituencies] ] --- layout: true # .tiny[Regression Design] --- name:research-design .pull-left[ **Part 1: Electoral System Effects** - `$$\small{\text{GTQs}_{i,t} = \alpha_{0} + \alpha_{1}\text{Post-reform}_{t} +\\ \alpha_{2}\text{Year} + \alpha_{3}(\text{Post-reform}_{t} \times \text{Year}) + \\ \theta\text{Controls}_{i,t} + \mu_{i} + \epsilon_{i,t}}$$` - .small[**Municipality FE + Controls**: Party, seniority, gender, pork committee membership, electoral margin, district magnitude] ] .pull-right[ **Part 2: Socioeconomic Moderation** - `$$\small{\text{GTQs}_{i,t} = \alpha_{0} + \alpha_{1}\text{Post-reform}_{t} + \\ \sum_{d=1}^{5}\alpha_{4}^d(\text{Post-reform}_{t} \times \text{Conditions}^{d}_{t}) +\\ \text{Controls}}$$` - .small[**5 Municipal Indicators**:] - .small[Unemployment rate] - .small[Sector employment (Agri/Manu/Service)] - .small[Higher education population share] ] --- .pull-left[ **Part 1: Electoral System Effects** - `$$\small{\text{GTQs}_{i,t} = \alpha_{0} + \alpha_{1}\text{Post-reform}_{t} +\\ \alpha_{2}\text{Year} + \alpha_{3}(\text{Post-reform}_{t} \times \text{Year}) + \\ \theta\text{Controls}_{i,t} + \mu_{i} + \epsilon_{i,t}}$$` - .small[**Municipality FE + Controls**: .blue[__Party, seniority, gender, pork committee membership, electoral margin, district magnitude__]] ] .pull-right[ **Part 2: Socioeconomic Moderation** - `$$\small{\text{GTQs}_{i,t} = \alpha_{0} + \alpha_{1}\text{Post-reform}_{t} + \\ \sum_{d=1}^{5}\alpha_{4}^d(\text{Post-reform}_{t} \times \text{Conditions}^{d}_{t}) +\\ \text{Controls}}$$` - .small[**5 Municipal Indicators**:] - .small[Unemployment rate, Agricultural value] - .small[Sector employment (Agri/Manu/Service)] - .small[Higher education population share] ] --- .pull-left[ **Part 1: Electoral System Effects** - `$$\small{\text{GTQs}_{i,t} = \alpha_{0} + \alpha_{1}\text{Post-reform}_{t} +\\ \alpha_{2}\text{Year} + \alpha_{3}(\text{Post-reform}_{t} \times \text{Year}) + \\ \theta\text{Controls}_{i,t} + \mu_{i} + \epsilon_{i,t}}$$` - .small[**Municipality FE + Controls**: .blue[__Party, seniority, gender, pork committee membership, electoral margin, district magnitude__]] ] .pull-right[ **Part 2: Socioeconomic Moderation** - `$$\small{\text{GTQs}_{i,t} = \alpha_{0} + \alpha_{1}\text{Post-reform}_{t} + \\ \sum_{d=1}^{5}\alpha_{4}^d(\text{Post-reform}_{t} \times \text{Conditions}^{d}_{t}) +\\ \text{Controls}}$$` - .small[**5 Municipal Indicators**:] - .small[.blue[__Unemployment rate, Agricultural value__]] - .small[.blue[__Sector employment (Agri/Manu/Service)__]] - .small[.blue[__Higher education population share__]] ] --- layout: true # .tiny[Main Findings: The Effects on Particularistic Behavior (1/2)] --- <div style="margin-top: -20px;"> <br><br> .pull-left[ <div style="margin-top: 80px;"> <img src="./images/result1.png" width="90%" style="display: block; margin: auto;" /> </div> ] .pull-right[ **SNTV (Pre-2008)** - .small[Legislators differentiate via distributive activities] - .small[Higher GTQs] **SMD (Post-2008)** - .small[SMD → Interparty competition] - .small[Lower GTQ initially] - .small[Party labels ↑] - .small[Effect diminishes over time] ] --- <br><br> .pull-left[ <div style="margin-top: 80px;"> <img src="./images/result1.png" width="90%" style="display: block; margin: auto;" /> </div> ] .pull-right[ **SNTV (Pre-2008)** - .small[Legislators differentiate via distributive activities] - .small[Higher GTQs] **SMD (Post-2008)** - .small[Lower GTQ initially] - .small[SMD → Interparty competition] - .small[Party labels ↑] - .small.blue[__Effect diminishes over time__] ] --- layout: true # .tiny[Main Findings: The Impacts of Socioeconomic Context (2/2)] --- <div style="margin-top: -20px;"> .pull-left[ <div style="margin-top: 80px;"> <img src="./images/result2.png" width="95%" style="display: block; margin: auto;" /> </div> ] .pull-right[ **Under SNTV** - .small[High unemployment: Fewer distributive policies] - .small[Economic stability: More GTQs for reputation] - .small[Lower education: Traditional patron-client relations] - .small[Higher education: Less distributive engagement] **Under SMD** - .small[Both socioeconomic effects substantially neutralized] - .small[Single-member structure reduces contextual responsiveness] ] --- .pull-left[ <div style="margin-top: 80px;"> <img src="./images/result2.png" width="95%" style="display: block; margin: auto;" /> </div> ] .pull-right[ **Under SNTV** - .small[.blue[**High unemployment**]: Fewer distributive policies] - .small[.blue[**Economic stability**]: More GTQs for reputation] - .small[.blue[**Lower education**]: Traditional patron-client relations] - .small[.blue[**Higher education**]: Less distributive engagement] **Under SMD** - .small[Both socioeconomic effects substantially neutralized] - .small[Single-member structure reduces contextual responsiveness] ] --- .pull-left[ <div style="margin-top: 80px;"> <img src="./images/result2.png" width="95%" style="display: block; margin: auto;" /> </div> ] .pull-right[ **Under SNTV** - .small[.blue[**High unemployment**]: Fewer distributive policies] - .small[.blue[**Economic stability**]: More GTQs for reputation] - .small[.blue[**Lower education**]: Traditional patron-client relations] - .small[.blue[**Higher education**]: Less distributive engagement] **Under SMD** - .small[Both socioeconomic effects substantially .blue[**neutralized**]] - .small[Single-member structure .blue[**reduces**] contextual responsiveness] ] --- layout: true # .tiny[Takeaway] --- <br><br> **Reform Goals (KMT + DPP): SNTV → SMD**<br> - .small[Reduce money politics and factionalism]<br> - .small[Improve legislative efficiency] -- **Actual Effects: SMD Impact**<br> - .small[Socioeconomic effects substantially neutralized]<br> - .small[SMD reduces responsiveness] -- **Academic Debate → Reality**<br> - .small[Wu (2002): SNTV was unfairly scapegoated for broader political problems]<br> - .small[We: SMD reduces particularistic responsiveness]<br> --- layout: true class: inverse, center, middle # Thank You ---