Violent Conflict and Chronic Poverty

Addison, Tony; Bach, K.D.; Braunholtz-Speight, Tim

doi:10.1057/9781137316707.0013

Cited by 3 publications

(6 citation statements)

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“…Using the Granger causality test, the result present in Table 1 shows that there exists uni-directional causality between conflict and poverty such that, conflict granger-cause poverty in Africa and not the other way round. This is consistent with some findings in the literature such as (Addison et al, 2010; ACAPS and MapAction, 2013; Baddeley, 2011; Justino, 2011; Justino & Verwimp, 2013; McGillivray & Noorbakhsh, 2004; USAID, 2014). These studies have found that violent conflict could lead to poverty by causing: damage to infrastructure, institutions and production; the destruction of assets; the breakup of communities and social networks; forced displacement; increased unemployment and inflation; changes in access to and relationship with local exchange, employment, reducing human development, credit and insurance markets; fall in spending on social services; and death and injury to people.…”

Section: Empirical Analysissupporting

confidence: 92%

“…This result reinforces the result of the causality test that internal conflict granger causes POV and its indicators. This result corroborates empirical findings in the works of Addison, et al, 2010; Baddeley, 2011; Justino, 2011; Kugler, Kang, Kugler, Arbetman-Rabinowitz, and Thomas, 2013; USAID (2014); World Bank Report, 2011. By our findings, internal conflicts in Africa reduces agricultural value-added per worker, consumption per capita, GDP per capita, life expectancy as well as POV.…”

Section: Empirical Analysissupporting

confidence: 88%

“…On the other hand, violent conflict contributes to poverty by causing: damage to infrastructure, institutions and production; the destruction of assets; the breakup of communities and social networks; forced displacement; increased unemployment and inflation; changes in access to and relationship with local exchange, employment, reducing human development, credit and insurance markets; falls in spending on social services; and death and injury to people (Addison et al, 2010; Baddeley, 2011; Justino, 2011; ACAPS and MapAction, 2013; Justino & Verwimp, 2013; McGillivray & Noorbakhsh, 2004; USAID, 2014). Conflicts also cause Displaced households and households with widows, orphans, elderly and disabled individuals are most vulnerable to falling into poverty as a result of a conflict (Addison et al, 2010; Justino, 2011). Households which are already poor, risk falling further into poverty (Addison et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Conflicts also cause Displaced households and households with widows, orphans, elderly and disabled individuals are most vulnerable to falling into poverty as a result of a conflict (Addison et al, 2010; Justino, 2011). Households which are already poor, risk falling further into poverty (Addison et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Conflict–Poverty Relationship in Africa: A Disaggregated Approach

Okunlola¹,

Okafor²

2020

Journal of Interdisciplinary Economics

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This article investigates the conflict–poverty relationship in Africa between 1980 and 2015. Conducting a panel regression, we test the effect of disaggregated conflict on the poverty index (POV) and indicators in Africa. Conflict causes poverty in Africa, and not the other way round as many studies have suggested. We also found that internal conflict causes poverty in Africa; it increases the poverty rate and worsens the standard of living. However, interstate conflicts have little effects on poverty indicators, it reduces the life expectancy of people in Africa. This article concludes that poverty is not the prime cause of conflict in Africa; there are other causes (i.e., political, structural, and sociological), poverty only stimulates conflict. This article suggests that peacemaking and peacebuilding mechanisms should be strengthened in Africa. Also, emphasis should be laid on other causes of conflict, such as political, structural and sociological, as it has been established that poverty is not the cause of conflict in Africa.

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Section: Empirical Analysissupporting

confidence: 92%

Section: Empirical Analysissupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Conflict–Poverty Relationship in Africa: A Disaggregated Approach

Okunlola¹,

Okafor²

2020

Journal of Interdisciplinary Economics

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“…Productive assets are destroyed or lost to looting during conflicts. Recovery from such shocks is more difficult for the vulnerable-the poor, widows, and the disabled-and can lead to increasing income inequality and self-perpetuating poverty traps (Addison et al 2013). Also, households often cope with conflict by reorganizing their livelihoods in ways that reduce their risk from harm at the cost of lower income.…”

Section: Health Education and Livelihoodsmentioning

confidence: 99%

Needs vs expediency: Poverty reduction and social development in post-conflict countries

Addison¹,

Gisselquist²,

Niño‐Zarazúa³

et al. 2015

WIDER Working Paper

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Conflict depletes all forms of human and social capital, as well as supporting institutions. The scale of the human damage can overwhelm public action, as there are many competing priorities and resources are often insufficient. What then should be the priorities for 'post-conflict' policy? Should it give, for example, higher priority to health or to livelihoods in allocating the resources available (financial, human, and institutional)? Should social protection be the main focus of effort and, if so, what form should it take? If trying to do everything amounts to doing nothing, then what should be the priorities over time, that guide the sequence of actions? This paper explores the issues-the opportunities but also the possible tensionsincluding those around the need to strengthen and sustain peace itself.

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Developing Relative Spatial Poverty Index Using Integrated Remote Sensing and Geospatial Big Data Approach: A Case Study of East Java, Indonesia

Putri

Wijayanto

Sakti

2022

IJGI

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Poverty data are usually collected through on-the-ground household-based socioeconomic surveys. Unfortunately, data collection with such conventional methods is expensive, laborious, and time-consuming. Additional information that can describe poverty with better granularity in scope and at lower cost, taking less time to update, is needed to address the limitations of the currently existing official poverty data. Numerous studies have suggested that the poverty proxy indicators are related to economic spatial concentration, infrastructure distribution, land cover, air pollution, and accessibility. However, the existing studies that integrate these potentials by utilizing multi-source remote sensing and geospatial big data are still limited, especially for identifying granular poverty in East Java, Indonesia. Through analysis, we found that the variables that represent the poverty of East Java in 2020 are night-time light intensity (NTL), built-up index (BUI), sulfur dioxide (SO2), point-of-interest (POI) density, and POI distance. In this study, we built a relative spatial poverty index (RSPI) to indicate the spatial poverty distribution at 1.5 km × 1.5 km grids by overlaying those variables, using a multi-scenario weighted sum model. It was found that the use of multi-source remote sensing and big data overlays has good potential to identify poverty using the geographic approach. The obtained RSPI is strongly correlated (Pearson correlation coefficient = 0.71 (p-value = 5.97×10−7) and Spearman rank correlation coefficient = 0.77 (p-value = 1.58×10−8) to the official poverty data, with the best root mean square error (RMSE) of 3.18%. The evaluation of RSPI shows that areas with high RSPI scores are geographically deprived and tend to be sparsely populated with more inadequate accessibility, and vice versa. The advantage of RSPI is that it is better at identifying poverty from a geographical perspective; hence, it can be used to overcome spatial poverty traps.

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Violent Conflict and Chronic Poverty

Cited by 3 publications

References 0 publications

Conflict–Poverty Relationship in Africa: A Disaggregated Approach

Conflict–Poverty Relationship in Africa: A Disaggregated Approach

Needs vs expediency: Poverty reduction and social development in post-conflict countries

Developing Relative Spatial Poverty Index Using Integrated Remote Sensing and Geospatial Big Data Approach: A Case Study of East Java, Indonesia

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