Why Ethnic Subaltern-Led Parties Crowd Out Armed Organizations: Explaining Maoist Violence in India

2019 ◽  
Vol 71 (2) ◽  
pp. 367-416 ◽  
Author(s):  
Kanchan Chandra ◽  
Omar García-Ponce
Keyword(s):  
Civil War ◽  
Political Parties ◽  
Ethnic Groups ◽  
Field Research ◽  
District Level ◽  
Data Set ◽  
Level Data ◽  
Armed Violence ◽  
Maoist Movement ◽  
New Hypothesis

AbstractThis article asks why some Indian districts experience chronic Maoist violence while others do not. The answer helps to explain India’s Maoist civil war, which is the product of the accumulation of violence in a few districts, as well as to generate a new hypothesis about the causes of civil war more generally. The authors argue that, other things equal, the emergence of subaltern-led parties at the critical juncture before armed organizations enter crowds them out: the stronger the presence of subaltern-led political parties in a district at this juncture, the lower the likelihood of experiencing chronic armed violence subsequently. They develop their argument through field research and test its main prediction using an original, district-level data set on subaltern incorporation and Maoist violence in India between 1967 and 2008. The article contributes a new, party-based explanation to the literatures on both civil war and Maoist violence in India. It also introduces new district-level data on the Maoist movement and on the incorporation of subaltern ethnic groups by political parties in India.

Civilian Victimization and Ethnic Civil War

2020 ◽  
Vol 64 (7-8) ◽  
pp. 1199-1225
Author(s):  
Lars-Erik Cederman ◽  
Simon Hug ◽  
Livia I. Schubiger ◽  
Francisco Villamil
Keyword(s):  
Ethnic Identity ◽  
Civil War ◽  
Ethnic Groups ◽  
Armed Conflict ◽  
The State ◽  
Data Set ◽  
Civilian Population ◽  
Targeted Violence ◽  
Structural Variables ◽  
Global Coverage

While many studies provide insights into the causes of wartime civilian victimization, we know little about how the targeting of particular segments of the civilian population affects the onset and escalation of armed conflict. Previous research on conflict onset has been largely limited to structural variables, both theoretically and empirically. Moving beyond these static approaches, this article assesses how the state-led targeting of specific ethnic groups affects the likelihood of ethnic conflict onset and the evolution of conflicts once they break out. Relying on a new data set with global coverage that captures the ethnic identity of civilian victims of targeted violence, we find evidence that the state-led civilian victimization of particular ethnic groups increases the likelihood that the latter become involved in ethnic civil war. We also find tentative, yet more nuanced, evidence that ethnic targeting by state forces affects the escalation of ongoing conflicts.

The Electoral Constraints on Inter-Party Mobility of Candidates: The Case of Pakistan

2019 ◽  
Vol 51 (4) ◽  
pp. 519-554 ◽  
Author(s):  
Andrei Zhirnov ◽  
Mariam Mufti
Keyword(s):  
Political Parties ◽  
Market Value ◽  
District Level ◽  
Electoral Volatility ◽  
Local District ◽  
Electoral District ◽  
Level Data ◽  
Positive Effect

This article investigates the electoral constraints on the inter-party mobility of candidates. We argue that the prevalent mode of interactions among candidates, voters, and parties in local, district-level electoral markets shapes the strategic constraints faced by potential party switchers. We suggest that strong linkages between voters and political parties reduce the market value of the candidates outside of their political parties, thereby constraining their inter-party mobility. These expectations are evaluated using candidate- and district-level data from Pakistan from 1988–2013. The results show that the strength of voter-party linkages in an electoral district, as measured by the lack of electoral volatility and the extent of straight-ticket voting in national and provincial elections, has a positive effect on the propensity of candidates to switch parties.

DETERMINANTS OF PREGNANCY AND INDUCED AND SPONTANEOUS ABORTION IN A JOINTLY DETERMINED FRAMEWORK: EVIDENCE FROM A COUNTRY-WIDE, DISTRICT-LEVEL HOUSEHOLD SURVEY IN INDIA

2013 ◽  
Vol 46 (4) ◽  
pp. 480-517 ◽  
Author(s):  
SALMA AHMED ◽  
RANJAN RAY
Keyword(s):  
Spontaneous Abortion ◽  
Household Survey ◽  
District Level ◽  
Son Preference ◽  
Data Set ◽  
Large Country ◽  
Economic Framework ◽  
Level Data ◽  
The Individual ◽  
The Village

SummaryThis study provides evidence on the principal determinants of pregnancy and abortion in India using a large country-wide district-level data set (DLHS 2007). The paper provides an economic framework for the analysis of pregnancy and abortion. The study distinguishes between induced and spontaneous abortion and compares the effects of their determinants. The results show that there are wide differences between induced and spontaneous abortions in terms of the sign and magnitude of the estimated effects of several of their determinants, most notably wealth, the woman's age and her desire for children. The study makes a methodological contribution by proposing a trivariate probit estimation framework that recognizes the joint dependence of pregnancy and induced and spontaneous abortion, and provides evidence in support of this joint dependence. The study reports an inverted U-shaped effect of a woman's age on her pregnancy and both forms of abortion. The turning point in each case is quite robust to the estimation framework. A significant effect of contextual variables, at the village level, constructed from the individual responses, on a woman's pregnancy is found. The effects are weaker in the case of induced abortion, and insignificant in the case of spontaneous abortion. The results are shown to be fairly robust. This paper extends the literature on the relation between son preference and fertility by examining the link between mother's son preference and desire for more children with abortion rates.

scholarly journals Economic legacy effects of armed conflict: Insights from the civil war in Aceh, Indonesia

2021 ◽  
pp. 073889422199450
Author(s):  
Martin Philipp Heger ◽  
Eric Neumayer
Keyword(s):  
Civil War ◽  
Gross Domestic Product ◽  
Armed Conflict ◽  
Jel Classification ◽  
District Level ◽  
Domestic Product ◽  
Legacy Effects ◽  
Peace Dividend ◽  
Level Data

The province of Aceh in Indonesia provides a promising case for studying the economic legacy effects of conflict given subnational district-level data on violence and gross domestic product. We demonstrate specific negative economic legacy effects of armed conflict despite a general peace dividend: whilst all districts in Aceh grow faster after conflict ends in 2005 than during the conflict, the districts that suffered relatively more from violence during the war grow relatively more slowly during peacetime than districts that experienced relatively little violence. These negative legacy effects are relatively short-lived, however, and are no longer statistically significant from 2009 onwards. JEL classification: O40, O47, Q54

scholarly journals Negotiating the Great Recession: How Teacher Collective Bargaining Outcomes Change in Times of Financial Duress

AERA Open ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 233285841985508 ◽  
Author(s):  
Katharine O. Strunk ◽  
Bradley D. Marianno
Keyword(s):  
Collective Bargaining ◽  
Great Recession ◽  
District Level ◽  
Instructional Time ◽  
Data Set ◽  
Teacher Salaries ◽  
The Great Recession ◽  
Grievance Procedures ◽  
Critical Elements ◽  
Level Data

This article examines how teacher collective bargaining agreements (CBAs), teacher salaries, and class sizes changed during the Great Recession. Using a district-level data set of California teacher CBAs that includes measures of subarea contract strength and salaries from 2005–2006 and 2011–2012 tied to district-level longitudinal data, we estimate difference-in-difference models to examine bargaining outcomes for districts that should have been more or less fiscally constrained. We find that unions and administrators change critical elements of CBAs and district policy during times of fiscal duress. This includes increasing class sizes, reducing instructional time, and lowering base salaries to relieve financial pressures and negotiating increased protections for teachers in areas with less direct financial implications, including grievance procedures and nonteaching duties.

scholarly journals Language, Religion, and Ethnic Civil War

2016 ◽  
Vol 61 (4) ◽  
pp. 744-771 ◽  
Author(s):  
Nils-Christian Bormann ◽  
Lars-Erik Cederman ◽  
Manuel Vogt
Keyword(s):  
Civil War ◽  
Ethnic Groups ◽  
Political Violence ◽  
Ethnic Differences ◽  
Dominant Group ◽  
Intrastate Conflict ◽  
Data Set ◽  
Linguistic Differences ◽  
Relational Perspective ◽  
Group Members

Are certain ethnic cleavages more conflict-prone than others? While only few scholars focus on the contents of ethnicity, most of those who do argue that political violence is more likely to occur along religious divisions than linguistic ones. We challenge this claim by analyzing the path from linguistic differences to ethnic civil war along three theoretical steps: (1) the perception of grievances by group members, (2) rebel mobilization, and (3) government accommodation of rebel demands. Our argument is tested with a new data set of ethnic cleavages that records multiple linguistic and religious segments for ethnic groups from 1946 to 2009. Adopting a relational perspective, we assess ethnic differences between potential challengers and the politically dominant group in each country. Our findings indicate that intrastate conflict is more likely within linguistic dyads than among religious ones. Moreover, we find no support for the thesis that Muslim groups are particularly conflict-prone.

Integrative Data Analysis from a Unifying Research Synthesis Perspective

2018 ◽  
Author(s):  
Eun-Young Mun ◽  
Anne E. Ray
Keyword(s):  
Data Analysis ◽  
Large Scale ◽  
Research Synthesis ◽  
Alcohol Intervention ◽  
Data Set ◽  
Integrative Data Analysis ◽  
Level Data ◽  
Model Complex ◽  
Wide Range ◽  
Individual Participant

Integrative data analysis (IDA) is a promising new approach in psychological research and has been well received in the field of alcohol research. This chapter provides a larger unifying research synthesis framework for IDA. Major advantages of IDA of individual participant-level data include better and more flexible ways to examine subgroups, model complex relationships, deal with methodological and clinical heterogeneity, and examine infrequently occurring behaviors. However, between-study heterogeneity in measures, designs, and samples and systematic study-level missing data are significant barriers to IDA and, more broadly, to large-scale research synthesis. Based on the authors’ experience working on the Project INTEGRATE data set, which combined individual participant-level data from 24 independent college brief alcohol intervention studies, it is also recognized that IDA investigations require a wide range of expertise and considerable resources and that some minimum standards for reporting IDA studies may be needed to improve transparency and quality of evidence.

Engagement Through the Diaspora Channel

2017 ◽  
Author(s):  
Michael S. Danielson
Keyword(s):  
Civil Society ◽  
Statistical Models ◽  
State Level ◽  
The State ◽  
Multivariate Statistical ◽  
Political Factors ◽  
Data Set ◽  
Level Data ◽  
Municipal Level

The first empirical task is to identify the characteristics of municipalities which US-based migrants have come together to support financially. Using a nationwide, municipal-level data set compiled by the author, the chapter estimates several multivariate statistical models to compare municipalities that did not benefit from the 3x1 Program for Migrants with those that did, and seeks to explain variation in the number and value of 3x1 projects. The analysis shows that migrants are more likely to contribute where migrant civil society has become more deeply institutionalized at the state level and in places with longer histories as migrant-sending places. Furthermore, the results suggest that political factors are at play, as projects have disproportionately benefited states and municipalities where the PAN had a stronger presence, with fewer occurring elsewhere.

The Optimal Diversification Strategy in Pharmaceutical Industry: Balance-centred or Hetero-centred?

2021 ◽  
pp. 097172182110056
Author(s):  
Keungoui Kim ◽  
Junseok Hwang ◽  
Sungdo Jung ◽  
Eungdo Kim
Keyword(s):  
Business Performance ◽  
Business Environment ◽  
Product Diversification ◽  
Diversification Strategy ◽  
Firm Level ◽  
Data Set ◽  
Pharmaceutical Firms ◽  
Level Data ◽  
Market Product ◽  
High Uncertainty

Due to high uncertainty of product development and business environment, firm-level diversification has been regarded as one of the most effective methods in pharmaceutical firms. In previous study, firm-level diversification was discussed by different value chains of market, product, and technology. However, in most cases, the diversification itself was adopted in a simple manner although its property contains different aspects and the results varies depending on the diversity property of selected index. In addition, the existing approach for measuring firm’s product/market diversification using sales information distinguished by standard industry classification cannot provide direct implication as different strategies are made for market and product diversification. Therefore, this study examines the effects of firm-level diversification on business and innovation performances in pharmaceutical firms by considering (1) three diversification types: market, product, and technology, (2) clear separation between market and product diversification, and (3) two diversification perspectives: balance-centred and hetero-centred. For empirical analysis, an integrated firm-level data set combining from Medtrack, Orange Book, Compustat and Total Patent database is used. From the result, in case of market diversification, less market heterogeneity causes significant influence on business performance. For product and technology, a concentrated and greater heterogeneity of product diversification are turned out to promote business performance, while the more intensive and heterogeneous technology diversification has been shown to improve innovation performance.

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