Pub Date : 2018-03-01DOI: 10.1177/1391561418768960
N. Ghosh
tion incentive, tariff barriers, inverted tariff structure, infrastructure development, custom procedure, labour laws regulations, issues in exit and entry barriers and so on. They argued that these measures would ‘stimulate FDI inflows into manufacturing in India and also improve the environment for domestic investment in manufacturing, besides, strengthening MSMEs in India’ (p. 335). In the last chapter, Arpita Mukherjee and Tanu M. Goyal used both primary data from a survey of a purposive sample of stakeholders in India and Thailand and secondary data from various official domestic and international sources on various trade and regional cooperation agreements. They found that services sector contributes significantly to the GDP and employment in East and South East Asian countries, including India. They investigated how services can be traded within the region and how it can lead to improved efficiency, market integration and creation of value chains. They primarily focused on bilateral trade between India and Thailand in the context of the CECA. They found commonalities as well as differences between the two countries in their approach to services trade. Both have restrictive FDI regimes and are selective about the movement of people under Mode 4 of the GATS. To summarize, this volume embarks on an extensive analysis to address the issues and challenges in integrating South Asia and South East Asian countries. It also addresses a series of policy intervention in terms of promoting regional value chains between and within the region. The analysis based on both primaryand secondary-level data add significant value to the policies. The volume has also given future directions through which both South Asia and South East Asian countries can drive regional integration, and what are the priority policies that need to be addressed both at industry and country level to facilitate the regional integration. This volume leaves further scope to extend and think beyond the text, and stimulates the appetite for further research. This book will be a valuable resource to students, scholars, researchers, industry stakeholders and policy makers having an interest in regional integration, value chain linkages, and general South Asia and South East Asian economies in enhancing the knowledge of the subject.
贸易激励、关税壁垒、关税倒置结构、基础设施建设、海关程序、劳动法法规、进出口壁垒问题等。他们认为,这些措施将“刺激外国直接投资流入印度制造业,并改善国内制造业投资的环境,此外,还将加强印度的中小微企业”(第335页)。在最后一章中,Arpita Mukherjee和Tanu M. Goyal使用了来自印度和泰国利益相关者的有目的样本调查的主要数据,以及来自各种官方的国内和国际来源的关于各种贸易和区域合作协议的次要数据。他们发现,服务业对包括印度在内的东亚和东南亚国家的GDP和就业做出了重大贡献。他们研究了如何在该地区进行服务贸易,以及如何提高效率、整合市场和创造价值链。他们主要关注印度和泰国在经济合作框架下的双边贸易。他们发现两国在服务贸易方面既有共同之处,也有差异。这两个国家都有限制性的外国直接投资制度,并且在服务贸易总协定模式4下对人员流动有选择性。总而言之,本卷从广泛的分析出发,以解决南亚和东南亚国家一体化的问题和挑战。在促进区域之间和区域内的区域价值链方面,它还涉及一系列政策干预。基于一级和二级数据的分析为策略增加了重要的价值。这本书还指出了南亚和东南亚国家推动区域一体化的未来方向,以及在工业和国家一级需要解决的优先政策是什么,以促进区域一体化。这卷留下了进一步的范围,延伸和思考超越文本,并刺激胃口进一步研究。对于对区域一体化、价值链联系以及南亚和东南亚经济感兴趣的学生、学者、研究人员、行业利益相关者和政策制定者来说,这本书将是提高这一主题知识的宝贵资源。
{"title":"Book Review: Binoy Goswami, Madhurjya Prasad Bezbaruah and Raju Mandal (eds), Indian Agriculture after the Green Revolution: Changes and Challenges","authors":"N. Ghosh","doi":"10.1177/1391561418768960","DOIUrl":"https://doi.org/10.1177/1391561418768960","url":null,"abstract":"tion incentive, tariff barriers, inverted tariff structure, infrastructure development, custom procedure, labour laws regulations, issues in exit and entry barriers and so on. They argued that these measures would ‘stimulate FDI inflows into manufacturing in India and also improve the environment for domestic investment in manufacturing, besides, strengthening MSMEs in India’ (p. 335). In the last chapter, Arpita Mukherjee and Tanu M. Goyal used both primary data from a survey of a purposive sample of stakeholders in India and Thailand and secondary data from various official domestic and international sources on various trade and regional cooperation agreements. They found that services sector contributes significantly to the GDP and employment in East and South East Asian countries, including India. They investigated how services can be traded within the region and how it can lead to improved efficiency, market integration and creation of value chains. They primarily focused on bilateral trade between India and Thailand in the context of the CECA. They found commonalities as well as differences between the two countries in their approach to services trade. Both have restrictive FDI regimes and are selective about the movement of people under Mode 4 of the GATS. To summarize, this volume embarks on an extensive analysis to address the issues and challenges in integrating South Asia and South East Asian countries. It also addresses a series of policy intervention in terms of promoting regional value chains between and within the region. The analysis based on both primaryand secondary-level data add significant value to the policies. The volume has also given future directions through which both South Asia and South East Asian countries can drive regional integration, and what are the priority policies that need to be addressed both at industry and country level to facilitate the regional integration. This volume leaves further scope to extend and think beyond the text, and stimulates the appetite for further research. This book will be a valuable resource to students, scholars, researchers, industry stakeholders and policy makers having an interest in regional integration, value chain linkages, and general South Asia and South East Asian economies in enhancing the knowledge of the subject.","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":"26 1","pages":"143 - 148"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81076288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-01DOI: 10.1177/1391561418761073
K. Pradhan, Shrabani Mukherjee
The study estimates the technical efficiency (TE) of agricultural production in India using production frontier model for both cross-section and panel data for the years 1999 and 2007. Given the persistent low productivity of agriculture in India, there is a serious need to identify the determining factors for technological lock-in for agricultural production in order to accelerate sustainable productivity and technical efficiency. The model claims that farmer’s education, household’s production process, proportion of irrigated area covered by canals, availability of wells, yielding variety of lands, government services, agricultural expenditure by local government and women reservations in local government significantly contribute to efficiency in resource utilization in farm production. Traditional techniques such as ‘learning by doing’ is, generally, preferred than the adoption of new technologies for agricultural production. It makes a constraint of technological lock-in. JEL: C23, C33, D20, O13
{"title":"Examining Technical Efficiency in Indian Agricultural Production Using Production Frontier Model","authors":"K. Pradhan, Shrabani Mukherjee","doi":"10.1177/1391561418761073","DOIUrl":"https://doi.org/10.1177/1391561418761073","url":null,"abstract":"The study estimates the technical efficiency (TE) of agricultural production in India using production frontier model for both cross-section and panel data for the years 1999 and 2007. Given the persistent low productivity of agriculture in India, there is a serious need to identify the determining factors for technological lock-in for agricultural production in order to accelerate sustainable productivity and technical efficiency. The model claims that farmer’s education, household’s production process, proportion of irrigated area covered by canals, availability of wells, yielding variety of lands, government services, agricultural expenditure by local government and women reservations in local government significantly contribute to efficiency in resource utilization in farm production. Traditional techniques such as ‘learning by doing’ is, generally, preferred than the adoption of new technologies for agricultural production. It makes a constraint of technological lock-in. JEL: C23, C33, D20, O13","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":"77 1","pages":"22 - 42"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87046557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-01DOI: 10.1177/1391561418763469
S. Rahman
This article examines the nature of spatial dimensions of poverty in Bangladesh by undertaking an in-depth investigation of inter-temporal divergence and convergence in poverty levels. Based on the estimations of Alkire–Foster Multidimensional Poverty Index (A–F MPI) for selected years, the article compares trends in broader dimensions of spatial poverty in Bangladesh with income poverty trends available for corresponding periods. The article scrutinizes the validity of the so-called ‘East–West divide’ in view of poverty levels in Bangladesh. The results evince a number of interesting insights. First, trends of income poverty in Bangladesh are not aligned with those of multidimensional poverty. Second, the levels of inter-temporal poverty as per MPI are relatively higher for the rural–urban divide and also at sub-national (division) levels. Third, inter-temporal trends of divergence–convergence in terms of income poverty relating to the East–West divide do not match corresponding movements in MPI. It is argued that while income poverty dimensions remain important, policymakers should pay more attention to broader issues of deprivations to address challenges of poverty in Bangladesh. Therefore, addressing causes of deprivations as captured in MPIs will help achieve balanced spatial development, accelerated poverty reduction and lower income inequality in Bangladesh. JEL: R11, R12, I32, C22
{"title":"A Critical Examination of Inter-temporal Spatial Poverty Trends in Bangladesh","authors":"S. Rahman","doi":"10.1177/1391561418763469","DOIUrl":"https://doi.org/10.1177/1391561418763469","url":null,"abstract":"This article examines the nature of spatial dimensions of poverty in Bangladesh by undertaking an in-depth investigation of inter-temporal divergence and convergence in poverty levels. Based on the estimations of Alkire–Foster Multidimensional Poverty Index (A–F MPI) for selected years, the article compares trends in broader dimensions of spatial poverty in Bangladesh with income poverty trends available for corresponding periods. The article scrutinizes the validity of the so-called ‘East–West divide’ in view of poverty levels in Bangladesh. The results evince a number of interesting insights. First, trends of income poverty in Bangladesh are not aligned with those of multidimensional poverty. Second, the levels of inter-temporal poverty as per MPI are relatively higher for the rural–urban divide and also at sub-national (division) levels. Third, inter-temporal trends of divergence–convergence in terms of income poverty relating to the East–West divide do not match corresponding movements in MPI. It is argued that while income poverty dimensions remain important, policymakers should pay more attention to broader issues of deprivations to address challenges of poverty in Bangladesh. Therefore, addressing causes of deprivations as captured in MPIs will help achieve balanced spatial development, accelerated poverty reduction and lower income inequality in Bangladesh. JEL: R11, R12, I32, C22","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":"61 1","pages":"108 - 123"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78552024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-01DOI: 10.1177/1391561418761075
G. Alam, Khorshed Alam, S. Mushtaq
Despite improvements in food production, many rural households in Bangladesh are still food insecure, and this requires urgent policy intervention if the situation is to improve. This article examines the factors influencing food security of vulnerable rural riverine households in Bangladesh. The results reveal that riverine households’ lack of access to many basic necessities and services, such as food, safe drinking water, education and health, results in increased vulnerability to food insecurity which could lead to an unfortunate vicious cycle of poverty. Model results indicate that household heads’ education, household size, adoption of livestock and access to non-farm earnings also affect food security. More importantly, evidence suggests that access to improved health care also needs policy support in parallel with improved access to food to achieve and sustain long-term food security in Bangladesh. JEL: D130, E230, Q540, Q180
{"title":"Drivers of Food Security of Vulnerable Rural Households in Bangladesh","authors":"G. Alam, Khorshed Alam, S. Mushtaq","doi":"10.1177/1391561418761075","DOIUrl":"https://doi.org/10.1177/1391561418761075","url":null,"abstract":"Despite improvements in food production, many rural households in Bangladesh are still food insecure, and this requires urgent policy intervention if the situation is to improve. This article examines the factors influencing food security of vulnerable rural riverine households in Bangladesh. The results reveal that riverine households’ lack of access to many basic necessities and services, such as food, safe drinking water, education and health, results in increased vulnerability to food insecurity which could lead to an unfortunate vicious cycle of poverty. Model results indicate that household heads’ education, household size, adoption of livestock and access to non-farm earnings also affect food security. More importantly, evidence suggests that access to improved health care also needs policy support in parallel with improved access to food to achieve and sustain long-term food security in Bangladesh. JEL: D130, E230, Q540, Q180","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":"4 1","pages":"43 - 63"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90069966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-03-01DOI: 10.1177/1391561418761076
Simontini Das
This article investigates the impact of casualization on the labour market of organized manufacturing industries in India. In specific, this article analyses the impact of casualization on the labour demand and output elasticity of 15 manufacturing industries in the post-liberalization period for the direct production workers. Dynamic panel data analysis of system generalized methods of moment method is used here for the estimation of lagged labour demand for permanent production workers. Aggregate level analysis ensures that casualization has a significant positive impact on the labour demand and on output elasticity. Disaggregate level analysis also confirms the significant positive impact on the output elasticity at individual industry level. However, wage share of the workers falls along with the increase in the usage of contract workers across most of the industries. Output elasticity increases but at the cost of falling wage share. Casualization generates more job opportunity but reduces the wage share for the permanent production workers in post-liberalization period. JEL Codes: J20, J21, J30, J46, C23
{"title":"Does Casualization Increase the Job Opportunity to the Workers or Impoverish Them? An Evidence from Indian-Organized Manufacturing Sector","authors":"Simontini Das","doi":"10.1177/1391561418761076","DOIUrl":"https://doi.org/10.1177/1391561418761076","url":null,"abstract":"This article investigates the impact of casualization on the labour market of organized manufacturing industries in India. In specific, this article analyses the impact of casualization on the labour demand and output elasticity of 15 manufacturing industries in the post-liberalization period for the direct production workers. Dynamic panel data analysis of system generalized methods of moment method is used here for the estimation of lagged labour demand for permanent production workers. Aggregate level analysis ensures that casualization has a significant positive impact on the labour demand and on output elasticity. Disaggregate level analysis also confirms the significant positive impact on the output elasticity at individual industry level. However, wage share of the workers falls along with the increase in the usage of contract workers across most of the industries. Output elasticity increases but at the cost of falling wage share. Casualization generates more job opportunity but reduces the wage share for the permanent production workers in post-liberalization period. JEL Codes: J20, J21, J30, J46, C23","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":"11 1","pages":"107 - 86"},"PeriodicalIF":0.0,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84306709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-09-01DOI: 10.1177/1391561417713129
M. Agarwal, Pragya Atri, Srikanta Kundu
It is widely proclaimed that capital account liberalization would immensely benefit developing economies because once capital controls are lifted, developing economies create a potential for movement of capital. And, this free movement of capital could possibly increase growth thereby lifting millions out of poverty. India has been gradually liberalizing since the 1980s and throughout more capital inflows were observed compared to outflows. Also, the composition of capital flows has been changing since the 1980s–with Foreign Direct Investment (FDI) inflows rising steadily post-1991compared to portfolio and debt flows. However, since 2000, FDI outflows from India were also witnessed. In this paper we empirically test the impact of FDI flows on poverty in India for 1980–2011. To provide a correct perspective to India’s performance we also analyze the link between FDI flows and poverty for SAARC countries. For a better understanding of how FDI flows impact poverty, we analyze the outflows and inflows separately. The results show both similarities and contrasts in the behaviour of India in comparison with the other SAARC countries.
{"title":"Foreign Direct Investment and Poverty Reduction","authors":"M. Agarwal, Pragya Atri, Srikanta Kundu","doi":"10.1177/1391561417713129","DOIUrl":"https://doi.org/10.1177/1391561417713129","url":null,"abstract":"It is widely proclaimed that capital account liberalization would immensely benefit developing economies because once capital controls are lifted, developing economies create a potential for movement of capital. And, this free movement of capital could possibly increase growth thereby lifting millions out of poverty. India has been gradually liberalizing since the 1980s and throughout more capital inflows were observed compared to outflows. Also, the composition of capital flows has been changing since the 1980s–with Foreign Direct Investment (FDI) inflows rising steadily post-1991compared to portfolio and debt flows. However, since 2000, FDI outflows from India were also witnessed. In this paper we empirically test the impact of FDI flows on poverty in India for 1980–2011. To provide a correct perspective to India’s performance we also analyze the link between FDI flows and poverty for SAARC countries. For a better understanding of how FDI flows impact poverty, we analyze the outflows and inflows separately. The results show both similarities and contrasts in the behaviour of India in comparison with the other SAARC countries.","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":"87 1-2 1","pages":"135 - 157"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77848746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-09-01DOI: 10.1177/1391561417721766
Mirza Allim Baig
The capital mobility, which is an integral part of CMI, finds little attention in this book. A clear picture of capital flows in the region with country-specific problems/hurdles would have added information for the readers. The kind of capital flows is also important as the world is experiencing financial crises from time to time. The discussion on CMI in the region at the time of financial crises would have been important for regional investors. Again, if marginal product of capital is not an important determinant of capital flows, then perhaps other factors that this book calls as unconventional factors may be important for the CMI. The financial liberalization is another important aspect which does not find due discussion in this book. The book should have provided cost-benefit analysis of CMI to grab the attention of the stakeholders. Finally, the book should have provided a clear road map with timeline for CMI in the region with all member countries. CMI is a recent phenomenon, and given its importance, the idea would have been conceptualized earlier. The book is having limited purpose of looking at the potentials and opportunities of CMI in the SAARC region. It does not dare to enter into the theoretical debate and literature on CMI. However, the author has thrown different innovative ideas and demonstrated his understandings of practical aspects of CMI in the regional framework. The best part of the book is that it raises many interesting questions and tries to answer them comprehensively. Regardless of the observations made, this is an excellent book, making valuable contribution to the literature of CMI. This is a non-technical book with comprehensive presentation and hence general audience from interdisciplinary field can read it. The book is no doubt an essential reference for the policymakers and practitioners in the field of financial integration, specifically for those bankers, investors, companies and organizations who are looking at SAARC region. The book can be referred by the students pursuing research in the field of financial integration.
{"title":"Book Review: Alok Misra, Responsible Finance India Report 2016—Client First: Tracking Social Performance Practices","authors":"Mirza Allim Baig","doi":"10.1177/1391561417721766","DOIUrl":"https://doi.org/10.1177/1391561417721766","url":null,"abstract":"The capital mobility, which is an integral part of CMI, finds little attention in this book. A clear picture of capital flows in the region with country-specific problems/hurdles would have added information for the readers. The kind of capital flows is also important as the world is experiencing financial crises from time to time. The discussion on CMI in the region at the time of financial crises would have been important for regional investors. Again, if marginal product of capital is not an important determinant of capital flows, then perhaps other factors that this book calls as unconventional factors may be important for the CMI. The financial liberalization is another important aspect which does not find due discussion in this book. The book should have provided cost-benefit analysis of CMI to grab the attention of the stakeholders. Finally, the book should have provided a clear road map with timeline for CMI in the region with all member countries. CMI is a recent phenomenon, and given its importance, the idea would have been conceptualized earlier. The book is having limited purpose of looking at the potentials and opportunities of CMI in the SAARC region. It does not dare to enter into the theoretical debate and literature on CMI. However, the author has thrown different innovative ideas and demonstrated his understandings of practical aspects of CMI in the regional framework. The best part of the book is that it raises many interesting questions and tries to answer them comprehensively. Regardless of the observations made, this is an excellent book, making valuable contribution to the literature of CMI. This is a non-technical book with comprehensive presentation and hence general audience from interdisciplinary field can read it. The book is no doubt an essential reference for the policymakers and practitioners in the field of financial integration, specifically for those bankers, investors, companies and organizations who are looking at SAARC region. The book can be referred by the students pursuing research in the field of financial integration.","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":"2 1","pages":"319 - 324"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77599880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-09-01DOI: 10.1177/1391561417713131
A. Mehta, J. Bhattacharya
Financial sector development serves poor directly through poverty-lending approach or financial systems approach. Robinson (2001) questions the appropriateness of poverty-lending approach for the extremely poor and supports the financial systems approach for providing a poverty alleviation toolbox to serve the poor at various levels. The present study attempts to assess the effectiveness of the two lending approaches and comments on the appropriateness of the same for the poor and the poorest of the poor in rural India using state-wise annual data from 1999–2000 to 2011–2012. We conduct a panel data analysis for a sample of 15 major Indian states and provide an empirical evidence for the effect of various poverty alleviation tools on the poor and the poorest of the poor in rural India. The study partially supports the use of tools suggested by Robinson.
{"title":"What Works Best for the Poor in Rural India","authors":"A. Mehta, J. Bhattacharya","doi":"10.1177/1391561417713131","DOIUrl":"https://doi.org/10.1177/1391561417713131","url":null,"abstract":"Financial sector development serves poor directly through poverty-lending approach or financial systems approach. Robinson (2001) questions the appropriateness of poverty-lending approach for the extremely poor and supports the financial systems approach for providing a poverty alleviation toolbox to serve the poor at various levels. The present study attempts to assess the effectiveness of the two lending approaches and comments on the appropriateness of the same for the poor and the poorest of the poor in rural India using state-wise annual data from 1999–2000 to 2011–2012. We conduct a panel data analysis for a sample of 15 major Indian states and provide an empirical evidence for the effect of various poverty alleviation tools on the poor and the poorest of the poor in rural India. The study partially supports the use of tools suggested by Robinson.","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":"14 3 1","pages":"230 - 245"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87856882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-09-01DOI: 10.1177/1391561417719368
Mirza Allim Baig
{"title":"Book Review: Sourajit Aiyer, Capital Market Integration in South Asia: Realizing the SAARC Opportunity, Elsevier Asian Studies Series","authors":"Mirza Allim Baig","doi":"10.1177/1391561417719368","DOIUrl":"https://doi.org/10.1177/1391561417719368","url":null,"abstract":"","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":"21 1","pages":"314 - 319"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73436912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}