THE LONG-TERM EFFECTS OF STATE REPRESSION ON POLITICAL BEHAVIOR AND ATTITUDES: EVIDENCE FROM TAIWAN

2021 ◽  
pp. 1-22
Author(s):  
Fang-Yi Chiou ◽  
Ji Yeon Hong

Abstract This article examines how violence against citizens affects their political attitudes and behavior in the long run, and how those effects vary over time. We construct and analyze a novel dataset on the victims of Taiwan's February 28 Incident, in 1947, with survey data spanning 1990 to 2017. Our empirical analysis shows that cohorts having directly or indirectly experienced the Incident are less likely to support the Kuomintang Party (KMT), the former authoritarian ruling party responsible for the Incident. They tend to disagree with the key conventional policy stand of the KMT (unification with mainland China), are more likely to self-identify as Taiwanese, and are less likely to vote for KMT presidential candidates. Taiwan's residents who were born in towns with larger number of casualties during the Incident are more likely to reject unification. Finally, the effects are found to vary over the period following democratization.

Author(s):  
Yuhua Wang

Autocrats use repression to deter opposition. Are they successful in the long run? The author argues that state repression can have long-lasting alienating effects on citizens’ political attitudes and coercive effects on their political behavior. The article evaluates this proposition by studying the long-term effects of state terror during China's Cultural Revolution. It shows that individuals who grew up in localities that were exposed to more state-sponsored violence in the late 1960s are less trusting of national political leaders and more critical of the country's political system today. These anti-regime attitudes are more likely to be passed down to the younger generation if family members discuss politics frequently than if they do not. Yet while state repression has created anti-regime attitudes, it has decreased citizens’ contentious behavior. These findings highlight the dilemma that authoritarian rulers face when they seek to consolidate their rule through repression.


Author(s):  
Russell J. Dalton

Early electoral research in the United States discovered the most important concept in the study of political behavior: party identification. Party identification is a long-term, affective attachment to one’s preferred political party. Cross-national research finds that these party identities are a potent cue in guiding the attitudes and behavior of the average person. Partisans tend to repeatedly support their preferred party, even when the candidates and the issues change. Party ties mobilize people to vote to support their party, and to work for the party during the campaign. And given the limited information most people have about complex political issues, party ties provide a cue to what positions one should support. The levels of partisanship among contemporary publics, and how it varies across nations and across time, are described. The implications of these patterns, and the current research debates on the significance of partisanship for democracies today, are discussed.


2020 ◽  
Author(s):  
Jonathan Homola ◽  
Miguel M. Pereira ◽  
Margit Tavits

A growing literature examines how historical institutions influence contemporary political attitudes and behavior. Recent work has argued that these studies need to properly account for spatial heterogeneity by incorporating regional fixed effects. Here, we discuss the theoretical and empirical obstacles that have to be addressed to properly incorporate fixed effects in legacy studies. We illustrate our arguments using Pepinsky et al.'s (2020) reassessment of a recent study on the long-term effects of concentration camps in Germany (Homola et al. 2020). We show that Pepinsky et al. incorporate fixed effects incorrectly and, as a result, their analysis suffers from post-treatment bias. We further demonstrate that results from the original article remain substantively the same when we incorporate regional fixed effects correctly. Finally, simulations reveal that camp proximity consistently outperforms spatially correlated noise in this specific study.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sviatlana Engerstam

PurposeThis study examines the long term effects of macroeconomic fundamentals on apartment price dynamics in major metropolitan areas in Sweden and Germany.Design/methodology/approachThe main approach is panel cointegration analysis that allows to overcome certain data restrictions such as spatial heterogeneity, cross-sectional dependence, and non-stationary, but cointegrated data. The Swedish dataset includes three cities over a period of 23 years, while the German dataset includes seven cities for 29 years. Analysis of apartment price dynamics include population, disposable income, mortgage interest rate, and apartment stock as underlying macroeconomic variables in the model.FindingsThe empirical results indicate that apartment prices react more strongly on changes in fundamental factors in major Swedish cities than in German ones despite quite similar development of these macroeconomic variables in the long run in both countries. On one hand, overreactions in apartment price dynamics might be considered as the evidence of the price bubble building in Sweden. On the other hand, these two countries differ in institutional arrangements of the housing markets, and these differences might contribute to the size of apartment price elasticities from changes in fundamentals. These arrangements include various banking sector policies, such as mortgage financing and valuation approaches, as well as different government regulations of the housing market as, for example, rent control.Originality/valueIn distinction to the previous studies carried out on Swedish and German data for single-family houses, this study focuses on the apartment segment of the market and examines apartment price elasticities from a long term perspective. In addition, the results from this study highlight the differences between the two countries at the city level in an integrated long run equilibrium framework.


2019 ◽  
Vol 109 ◽  
pp. 567-571 ◽  
Author(s):  
Christine Laudenbach ◽  
Ulrike Malmendier ◽  
Alexandra Niessen-Ruenzi

Growing evidence in macrofinance suggests long-lasting effects of personally experienced outcomes on beliefs. To understand the underlying mechanism we turn to the neurological foundations of memory formation. We propose that emotional tagging plays a crucial role in assigning weights in the belief formation process. We use exposure to communism as well as variation in its emotional tagging to predict long-run beliefs. We show that living under communism has long-term effects on beliefs about its benefits. In addition, positive and negative emotional tags strongly affect the (pro- or anti-communist) direction of beliefs, providing anchors to memory that seem hard to reverse.


PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0248743
Author(s):  
Md Mazharul Islam ◽  
Majed Alharthi ◽  
Md Wahid Murad

Objective While macroeconomic and environmental events affect the overall economic performance of nations, there has not been much research on the effects of important macroeconomic and environmental variables and how these can influence progress. Saudi Arabia’s economy relies heavily on its vast reserves of petroleum, natural gas, iron ore, gold, and copper, but its economic growth trajectory has been uneven since the 1990s. This study examines the effects of carbon emissions, rainfall, temperature, inflation, population, and unemployment on economic growth in Saudi Arabia. Methods Annual time series dataset covering the period 1990–2019 has been extracted from the World Bank and General Authority of Meteorology and Environmental Protection, Saudi Arabia. The Autoregressive Distributed Lag (ARDL) approach to cointegration has served to investigate the long-run relationships among the variables. Several time-series diagnostic tests have been conducted on the long-term ARDL model to check its robustness. Results Saudi Arabia can still achieve higher economic growth without effectively addressing its unemployment problem as both the variables are found to be highly significantly but positively cointegrated in the long-run ARDL model. While the variable of carbon emissions demonstrated a negative effect on the nation’s economic growth, the variables of rainfall and temperate were to some extent cointegrated into the nation’s economic growth in negative and positive ways, respectively. Like most other nations the short-run effects of inflation and population on economic growth do vary, but their long-term effects on the same are found to be positive. Conclusions Saudi Arabia can achieve both higher economic growth and lower carbon emissions simultaneously even without effectively addressing the unemployment problem. The nation should utilize modern scientific technologies to annual rainfall losses and to reduce annual temperature in some parts of the country in order to achieve higher economic growth.


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