scholarly journals (When) Do Anti-Poverty Programs Reduce Violence? India's Rural Employment Guarantee and Maoist Conflict

2021 ◽  
Author(s):  
Aditya Dasgupta ◽  
Kishore Gawande ◽  
Devesh Kapur

Theory and extensive evidence connect poverty and underdevelopment to civil conflict, yet evidence on the impact of development programs on violence is surprisingly mixed. To break this impasse, we exploit a within-country policy experiment to examine the conditions under which anti-poverty programs reduce violence. The roll-out of India's National Rural Employment Guarantee Scheme caused a large long-run reduction in Maoist conflict violence, as measured with an original data set based on local language press sources. These pacifying effects were not uniform, however, but overwhelmingly concentrated in districts with sufficient pre-existing local state capacity to implement the program effectively. The results demonstrate the potential for anti-poverty programs to mitigate violent civil conflict by improving livelihoods, but also highlight the crucial role of state capacity in shaping these effects.

2017 ◽  
Vol 71 (3) ◽  
pp. 605-632 ◽  
Author(s):  
Aditya Dasgupta ◽  
Kishore Gawande ◽  
Devesh Kapur

AbstractTheory and extensive evidence connect poverty and underdevelopment to civil conflict yet evidence on the impact of development programs on violence is surprisingly mixed. To break this impasse, we exploit a within-country policy experiment to examine the conditions under which antipoverty programs reduce violence. The roll-out of India's National Rural Employment Guarantee Scheme caused a large long-run reduction in Maoist conflict violence, as measured with an original data set based on local-language press sources. These pacifying effects were not uniform, however, but overwhelmingly concentrated in districts with sufficient pre-existing local state capacity to implement the program effectively. The results demonstrate the potential for anti-poverty programs to mitigate violent civil conflict by improving livelihoods, but also highlight the crucial role of state capacity in shaping these effects.


2013 ◽  
Vol 1 (1) ◽  
pp. 83 ◽  
Author(s):  
Rituparna Bhattacharyya ◽  
Polly Vauquline

The National Rural Employment Guarantee Act (NREGA), launched in February 2006 was renamed in October 02, 2009 as the Mahatma Gandhi National Rural Employment Guarantee Act (henceforth, MGNREGA). It is an anti-poverty flagship programme of the Government of India. The key purpose of MGNREGA is to enhance wage employment in the rural areas by providing at least 100 days of guaranteed employment to every household in a financial year.  The MGNREGA implementation status report for the financial year 2012-2013 unfolds that the programme has already provided employment to 44.9 million households across 28 districts and five union territories. Hence, it is becoming increasingly difficult to ignore the impact of MGNREGA on women beneficiaries. A plethora of research argues that MGNREGA, which promotes inclusive growth, is a vehicle of change, a lifeline for rural women. So far, however, there has been very little discussion about the impact of MGNREGA on women beneficiaries of Assam. This research is an attempt to examine the participation of women in MGNREGA, Assam. It critically looks at the issues, problems and challenges confronted by the women while working at MGNREGA. Written from a feminist perspective on gender, poverty and women’s empowerment, the research seeks to address the problems of the women beneficiaries through their lived experiences. For this, we conducted in-depth interviews with the women beneficiaries in the months of August and September, 2009 in four remote areas namely, Burka, Chandrapur, Barbhang and Muguriya, the first two situated in Kamrup, while the third and the fourth in Barpeta districts of Assam, where the programme of MGNREGA is on-going. The findings of the research suggest measures so that the programme can be made more effective in the long run.


2021 ◽  
pp. 245513332110316
Author(s):  
Tiken Das ◽  
Pradyut Guha ◽  
Diganta Das

This study made an attempt to answer the question: Do the heterogeneous determinants of repayment affect the borrowers of diverse credit sources differently? The study is based on data collected from 240 households from three districts in the lower Brahmaputra valley of Assam through a carefully designed primary survey. Besides, the study uses the double hurdle approach and the instrumental variable probit model to reduce possible selection bias. It observes better repayment performance among formal borrowers, followed by semiformal borrowers, while occupation wise it is prominent among organised employees. It has been found that in general, the household characteristics, loan characteristics and location-specific characteristics significantly affect repayment performance of borrowers. However, the nature of impact of the factors influencing repayment performance is remarkably different across credit sources. It ignores the role of traditional community-based organisations in rural Assam while analysing the determinants of repayment performance. The study also recommends for ensuring productive opportunities and efficient market linkages in rural areas of Assam. The study is based on an original data set that has specially been collected to examine question that—do the heterogeneous determinants of repayment affect the borrowers of diverse credit sources differently in the lower Brahmaputra valley of Assam—which has not been studied before.


2021 ◽  
Vol 14 (7) ◽  
pp. 319
Author(s):  
Hany Fahmy

The Prebisch-Singer (PS) hypothesis, which postulates the presence of a downward secular trend in the price of primary commodities relative to manufacturers, remains at the core of a continuing debate among international trade economists. The reason is that the results of testing the PS hypothesis depend on the starting point of the technical analysis, i.e., stationarity, nonlinearity, and the existence of structural breaks. The objective of this paper is to appraise the PS hypothesis in the short- and long-run by employing a novel multiresolution wavelets decomposition to a unique data set of commodity prices. The paper also seeks to assess the impact of the terms of trade (also known as Incoterms) on the test results. The analysis reveals that the PS hypothesis is not supported in the long run for the aggregate commodity price index and for most of the individual commodity price series forming it. Furthermore, in addition to the starting point of the analysis, the results show that the PS test depends on the term of trade classification of commodity prices. These findings are of particular significance to international trade regulators and policymakers of developing economies that depend mainly on primary commodities in their exports.


Social Change ◽  
2017 ◽  
Vol 47 (4) ◽  
pp. 552-564 ◽  
Author(s):  
Akhil Alha

The study discusses the impact of the implementation of the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) on an already tightened rural labour market through a field survey conducted in two villages of Rajasthan. The article argues that the impact of the programme in a constricted rural labour market has been marginal because of a low off-take of work because of already developed alternate livelihood strategies which reduced the incentive to work in this programme. Nevertheless, the scheme has been instrumental in two ways: first, it led to the withdrawal of lower caste women from agricultural work which signifies an escape from the exploitative production relations in the two villages under study; and second, it has resulted in the formation of an exclusive category of MGNREGA workers consisting of female workers from the middle castes who were previously were not participating in paid labour.


Author(s):  
Prof.P.Manjushree ◽  
P.Geetha

It is a well-documented fact that COVID -19 pandemic is having a ravaging effect across the world, lives, livelihoods, lifestyles, life forms and more have been heavily impacted. To control the spread of pandemic Indian government adopted different approaches like - three weeks lockdown imposing social distancing, closure of non essential and businesses and very high restrictions on the mobility of people. All these measure had repercussions on the economy and severe impact among the tribal communities because of limited resources of livelihood, lack of access to Covid-19 testing and healthcare facilities, disruption of supply chains etc. According to government sources more than 10 crore forest dwellers depend on minor forest produce (MFPs) for earning income to meet their basic expenses. Due to the extensive lock down measures government failed to provide employment to tribal people under schemes like the Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) and Pradhan Mantri Van Dhan Yojana (PMVDY). This has triggered an increase in the dependence of the tribal population on the sale of forest produce. Ministry of Tribal Affairs (MoTA) should plan more supportive policy measures to reduce the impact of the pandemic on the living conditions of the tribal community.The paper focusses on the first wave of the pandemic and its impact on tribal community. KEY WORDS: COVID -19,lock down, tribal community, impact, minor forest produce(MFPS), ministry of tribal affairs (MoTA), Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA).


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Le Quoc Hoi ◽  
Hương Lan Trần

PurposeThis paper aims to examine the credit composition and income inequality reduction in Vietnam. In particular, the authors focus on the distinction between policy and commercial credits and investigate whether these two types of credit had adverse effects on income inequality. The authors also examine whether the impact of policy credit on income inequality is conditioned by the educational level and institutional quality.Design/methodology/approachThe authors use the primary data set, which contains a panel of 60 provinces collected from the General Statistics Office of Vietnam from 2002 to 2016. The authors employ the generalized method of moments to solve the endogenous problem.FindingsThe authors show that while commercial credit increases income inequality, policy credit contributes to reducing income inequality in Vietnam. In addition, we provide evidence that the institutional quality and educational level condition the impact of policy credit on income inequality. Based on the findings, the paper implies that it was not the size of the private credit but its composition that mattered in reducing income inequality, due to the asymmetric effects of different types of credit.Originality/valueThis is the first study that examines the links between the two components of credit and income inequality as well as constraints of the links. The authors argue that analyzing the separate effects of commercial and policy credits is more important for explaining the role of credit in income inequality than the size of total credit.


2021 ◽  
Author(s):  
Haifa Saadaoui

Abstract This study focuses on the role of institutional factors as well as financial development in renewable energy transition in Middle East and North Africa (MENA) region over the period 1990-2018 using the ARDL PMG method. The investigation of long-run and short-run analysis confirms that institutional and political factors play a key role in promoting the transition to renewable energy, and shows that improving these factors can lead to decarbonization of the energy sector in the long run. Another important finding is that global financial development does not have a significant effect on the transition process in the long run, implying that the whole financial system needs a fundamental structural change to accelerate the substitution between polluting and clean energies. However, in the short term, the impact appears to be negative and significant, highlighting the inadequacy of financial institutions and financial markets in promoting the region’s sustainable path. Moreover, income drives the transition to renewable energy in both short and long term. The causality results show that both financial development and institutional quality lead to renewable energy transition, while there is a bidirectional link between income and renewable energy.This study can provide a very useful recommendation to promote a clean transition in the MENA region.


Author(s):  
Chetna Rath ◽  
Florentina Kurniasari ◽  
Malabika Deo

Chief executive officers (CEOs) of environmental, social, and governance (ESG) firms are known to take lesser pay and engage themselves in corporate social responsibility activities to achieve the dual objective of the enhancement of firm’s performance as well as benefit for stakeholders in the long run. This study examines the role of ESG transparency in strengthening the impact of firm performance on total CEO pay in ESG firms. A panel of 67 firms for the period of 2014–2019 has been analyzed using the two-step system GMM model, with NSE Nifty 100 ESG Index as the data sample and ESG scores from Bloomberg database as a proxy for transparency. Findings reveal that environmental and governance disclosure scores have the potential to intensify the negative relationship between firm performance and CEO compensation, while social disclosure scores do not. In addition, various firm-specific, board-specific, and CEO-specific attributes have also been considered controls affecting remuneration. This paper contributes to the literature by exploring the effect of exhibiting ESG transparency and its nexus with CEO pay as well as firm performance.


2018 ◽  
Vol 39 (2) ◽  
pp. 329-358 ◽  
Author(s):  
Colin Provost ◽  
Brian J. Gerber

AbstractEnvironmental justice (EJ) has represented an important equity challenge in policymaking for decades. President Clinton’s executive order (EO) 12898 in 1994 represented a significant federal action, requiring agencies to account for EJ issues in new rulemakings. We examine the impact of EO 12898 within the larger question of how EO are implemented in complex policymaking. We argue that presidential preferences will affect bureaucratic responsiveness and fire alarm oversight. However, EJ policy complexity produces uncertainty leading to bureaucratic risk aversion, constraining presidential efforts to steer policy. We utilise an original data set of nearly 2,000 final federal agency rules citing EO 12898 and find significant variation in its utilisation across administrations. Uncertainty over the nature of the order has an important influence on bureaucratic responsiveness. Our findings are instructive for the twin influences of political control and policy-making uncertainty and raise useful questions for future EJ and policy implementation research.


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