Pub Date : 2022-03-01DOI: 10.1177/13915614221076210
V. Kathuria, R. Natarajan
This article analyses the role of structural change in explaining growth accelerations and decelerations in Indian states over the 30 years from 1980–1981 to 2010–2011. We employ conventional shift-share analysis to measure the sectoral contribution to productivity growth. We apply this methodology to an eight-sector data set for 15 major states. Our results show that productivity changes ‘within’ sectors explain the considerable improvement in productivity in Indian states rather than the reallocation of labour to more productive sectors. At the aggregate level and for several states, significant contribution to productivity improvements has emanated from agriculture, trade and manufacturing sectors. In all these sectors, the main contribution emerged from within sector productivity improvements, not from structural changes. However, the reallocation effect has appeared to deliver marginal gains to overall productivity in recent periods, which is evident for construction, manufacturing, trade and services sectors. JEL Classification: O10, O40, O47, R11
{"title":"What Role Has Structural Change Played in Growth Accelerations for the Indian States? An Analysis for Pre- and Post-liberalization Periods","authors":"V. Kathuria, R. Natarajan","doi":"10.1177/13915614221076210","DOIUrl":"https://doi.org/10.1177/13915614221076210","url":null,"abstract":"This article analyses the role of structural change in explaining growth accelerations and decelerations in Indian states over the 30 years from 1980–1981 to 2010–2011. We employ conventional shift-share analysis to measure the sectoral contribution to productivity growth. We apply this methodology to an eight-sector data set for 15 major states. Our results show that productivity changes ‘within’ sectors explain the considerable improvement in productivity in Indian states rather than the reallocation of labour to more productive sectors. At the aggregate level and for several states, significant contribution to productivity improvements has emanated from agriculture, trade and manufacturing sectors. In all these sectors, the main contribution emerged from within sector productivity improvements, not from structural changes. However, the reallocation effect has appeared to deliver marginal gains to overall productivity in recent periods, which is evident for construction, manufacturing, trade and services sectors. JEL Classification: O10, O40, O47, R11","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90369678","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 : 2022-03-01DOI: 10.1177/13915614211070793
Asmita Goswami, K. Narayanan
The article presents differences in firm-level total factor productivity in the information technology (IT) service firms in India over the period 2000–2016. It is an attempt to study whether technological efforts contribute to productivity differences in the firms in conjunction with several other firm specific characteristics. Controlling for endogeneity in inputs, the estimation of productivity through semi-parametric techniques indicates considerable heterogeneity in productivity across firm types. Technological efforts of firms have a significant impact on the productivity of IT firms. Both embodied technology imports and in-house R&D contribute to higher productivity. While the Indian firms are observed to be more productive compared to their foreign counterparts, the technological efforts also differ due to ownership factors and that contributes to changes in productivity. JEL: D24, O14, O39
{"title":"Technological Efforts, Firm Ownership and Productivity: A Study of Information Technology Service Firms in India","authors":"Asmita Goswami, K. Narayanan","doi":"10.1177/13915614211070793","DOIUrl":"https://doi.org/10.1177/13915614211070793","url":null,"abstract":"The article presents differences in firm-level total factor productivity in the information technology (IT) service firms in India over the period 2000–2016. It is an attempt to study whether technological efforts contribute to productivity differences in the firms in conjunction with several other firm specific characteristics. Controlling for endogeneity in inputs, the estimation of productivity through semi-parametric techniques indicates considerable heterogeneity in productivity across firm types. Technological efforts of firms have a significant impact on the productivity of IT firms. Both embodied technology imports and in-house R&D contribute to higher productivity. While the Indian firms are observed to be more productive compared to their foreign counterparts, the technological efforts also differ due to ownership factors and that contributes to changes in productivity. JEL: D24, O14, O39","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72429344","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 : 2022-03-01DOI: 10.1177/13915614221076230
Milindo Chakrabarti
{"title":"Alex M. Thomas, Macroeconomics: An Introduction","authors":"Milindo Chakrabarti","doi":"10.1177/13915614221076230","DOIUrl":"https://doi.org/10.1177/13915614221076230","url":null,"abstract":"","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78262965","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 : 2021-12-22DOI: 10.1177/13915614211061929
P. Warnakulasooriya, K. Kasturiaratchi
Introduction Congenital heart disease is the commonest type of birth defect of which the estimated prevalence is around 8–12/1,000 worldwide. Caregivers of children with congenital heart diseases are easy victims of high economic burdens and economic instability. Objective The aim was to describe the household economic cost for a clinic visit, of primary caregivers having children with CHDs who are awaiting cardiac surgery attending a cardiology clinic at a major pediatric hospital in Sri Lanka. Methodology A descriptive cross-sectional study was conducted over three months among 427 samples of caregivers of children with congenital heart diseases at Cardiology clinic, Lady-Ridgeway Hospital Sri Lanka. A consecutive convenient sampling method was used to recruit the participant and economic cost was developed based on previous studies, surveys and opinions of an expert in economics. Results Out of caregivers, 75% were unemployed, and the median income was ₹30,000. The median direct cost per clinic visit was ₹1,800. A large proportion of direct cost was showed in traveling expenses. The median indirect cost was ₹1,000. Of the caregivers, 28.7% were falling into catastrophic expenditure during that particular month of the clinic visit. The mean waiting time per clinic visit was 53 minutes. Statistically significant association found distance with transport cost (Chi-square value = 25.14, df = 1, p & .001, OR = 3.4 (CI: 2.1–5.5). There was no statistically significant association between the income of the caregiver and expenditure (Chi-square value = 0, df = 1, p = .998, OR = 1 (CI: 0.678–1.473). Conclusions Assessment of economic burden and its associated factors is vital to recognize high-risk caregivers early, and improvement of monetary support methods.
先天性心脏病是最常见的出生缺陷类型，全球估计患病率约为8 - 12/ 1000。先天性心脏病儿童的照料者很容易成为高经济负担和经济不稳定的受害者。目的:目的是描述在斯里兰卡一家大型儿科医院的心脏病科诊所就诊的家庭经济成本，这些家庭的主要护理人员有等待心脏手术的冠心病儿童。方法描述性横断面研究在斯里兰卡雷迪·里奇韦医院心脏病学诊所对427名先天性心脏病患儿护理人员进行了为期三个月的抽样调查。采用连续方便的抽样方法招募参与者，并根据以往的研究、调查和经济学专家的意见制定经济成本。结果在护理人员中，75%的人失业，收入中位数为3万卢比。每次就诊的直接费用中位数为1800卢比。旅费占直接成本的很大一部分。间接成本中位数为1000卢比。在护理人员中，28.7%的人在就诊的那个月出现了灾难性的支出。每次就诊的平均等待时间为53分钟。距离与运输成本有统计学意义的关联(卡方值= 25.14,df = 1, p & .001, OR = 3.4 (CI: 2.1-5.5)。护理人员的收入与支出之间无统计学意义的相关性(卡方值= 0,df = 1, p = 0.998, OR = 1 (CI: 0.678-1.473)。结论经济负担及其相关因素的评估对早期识别高危照护者、改进资金支持方法具有重要意义。
{"title":"The household economic cost of caregivers: children with congenital heart diseases attending to Pediatric Hospital, Sri Lanka","authors":"P. Warnakulasooriya, K. Kasturiaratchi","doi":"10.1177/13915614211061929","DOIUrl":"https://doi.org/10.1177/13915614211061929","url":null,"abstract":"Introduction Congenital heart disease is the commonest type of birth defect of which the estimated prevalence is around 8–12/1,000 worldwide. Caregivers of children with congenital heart diseases are easy victims of high economic burdens and economic instability. Objective The aim was to describe the household economic cost for a clinic visit, of primary caregivers having children with CHDs who are awaiting cardiac surgery attending a cardiology clinic at a major pediatric hospital in Sri Lanka. Methodology A descriptive cross-sectional study was conducted over three months among 427 samples of caregivers of children with congenital heart diseases at Cardiology clinic, Lady-Ridgeway Hospital Sri Lanka. A consecutive convenient sampling method was used to recruit the participant and economic cost was developed based on previous studies, surveys and opinions of an expert in economics. Results Out of caregivers, 75% were unemployed, and the median income was ₹30,000. The median direct cost per clinic visit was ₹1,800. A large proportion of direct cost was showed in traveling expenses. The median indirect cost was ₹1,000. Of the caregivers, 28.7% were falling into catastrophic expenditure during that particular month of the clinic visit. The mean waiting time per clinic visit was 53 minutes. Statistically significant association found distance with transport cost (Chi-square value = 25.14, df = 1, p & .001, OR = 3.4 (CI: 2.1–5.5). There was no statistically significant association between the income of the caregiver and expenditure (Chi-square value = 0, df = 1, p = .998, OR = 1 (CI: 0.678–1.473). Conclusions Assessment of economic burden and its associated factors is vital to recognize high-risk caregivers early, and improvement of monetary support methods.","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75739159","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 : 2021-09-14DOI: 10.1177/13915614211039087
F. Khatun, Syed Yusuf Saadat
Inequality in the distribution of income can be beneficial or detrimental for economic growth depending on the level of inequality. This study advocates that when income inequality is low, increase in income inequality increases economic growth, whereas when income inequality is high, increase in income inequality decreases economic growth. The level of inequality that maximizes economic growth is defined as the optimum level of income inequality. This article attempts to determine the optimum level of income inequality for South Asia through an econometric analysis. It uses panel data from Bangladesh, India, Nepal, Pakistan and Sri Lanka, over a 34-year period to undertake a systematic investigation using panel instrumental variables techniques. The results of this study confirm that an optimum level of income inequality does exist, and occurs at a Gini coefficient value of 0.4492. Thus, this research empirically confirms that the relationship between income inequality and economic growth is non-linear. Further calculations show that for an economy that is at the optimum level of income inequality, the per capita gross domestic product can be expected to double within approximately 13 years, provided all other factors are held constant. However, a change in the Gini coefficient by 0.10 units in either direction—higher or lower—away from the optimum level, can increase the number of years for the per capita gross domestic product to double by 55 to 57 years, depending on the method of approximation. JEL: D31, D63, O15, O40
{"title":"The Optimum Level of Income Inequality in South Asia: An Econometric Analysis","authors":"F. Khatun, Syed Yusuf Saadat","doi":"10.1177/13915614211039087","DOIUrl":"https://doi.org/10.1177/13915614211039087","url":null,"abstract":"Inequality in the distribution of income can be beneficial or detrimental for economic growth depending on the level of inequality. This study advocates that when income inequality is low, increase in income inequality increases economic growth, whereas when income inequality is high, increase in income inequality decreases economic growth. The level of inequality that maximizes economic growth is defined as the optimum level of income inequality. This article attempts to determine the optimum level of income inequality for South Asia through an econometric analysis. It uses panel data from Bangladesh, India, Nepal, Pakistan and Sri Lanka, over a 34-year period to undertake a systematic investigation using panel instrumental variables techniques. The results of this study confirm that an optimum level of income inequality does exist, and occurs at a Gini coefficient value of 0.4492. Thus, this research empirically confirms that the relationship between income inequality and economic growth is non-linear. Further calculations show that for an economy that is at the optimum level of income inequality, the per capita gross domestic product can be expected to double within approximately 13 years, provided all other factors are held constant. However, a change in the Gini coefficient by 0.10 units in either direction—higher or lower—away from the optimum level, can increase the number of years for the per capita gross domestic product to double by 55 to 57 years, depending on the method of approximation. JEL: D31, D63, O15, O40","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86985664","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 : 2021-09-01DOI: 10.1177/13915614211029072
Karan Singh Khati, D. Mukherjee
This study endeavours to augment the existing literature on the productive efficiency of Indian domestic banks in the presence of non-performing assets (NPAs), by employing the Weighted Russell Directional Distance Model (WRDDM). Following the intermediation approach, the banking technology set includes three inputs, three desirable outputs and one undesirable output, namely NPAs. Due to their inherent technological heterogeneity, public sector banks (PSBs) and private banks (PVBs) have been analysed as separate groups. Balanced panels of 26 PSBs and 18 PVBs are constructed from 2010-2011 to 2016-2017. The results indicate a considerable scope of improvement in the productive performance of both categories of banks. The break-up of overall inefficiency into input- and output-specific components reveals some stimulating information. For PSBs, the inefficiencies primarily result due to physical capital, while for PVBs they emerge mainly from other incomes. However, NPAs are also a key contributor to inefficiency for both the categories of banks. The inefficiency scores also indicate that, across ownership categories, medium-sized banks are poorer performers than their smaller and larger counterparts. JEL: C14, C61, D24, G21
{"title":"Productive Efficiency and Non-performing Assets of Indian Banks in the Post-global Financial Crisis Period","authors":"Karan Singh Khati, D. Mukherjee","doi":"10.1177/13915614211029072","DOIUrl":"https://doi.org/10.1177/13915614211029072","url":null,"abstract":"This study endeavours to augment the existing literature on the productive efficiency of Indian domestic banks in the presence of non-performing assets (NPAs), by employing the Weighted Russell Directional Distance Model (WRDDM). Following the intermediation approach, the banking technology set includes three inputs, three desirable outputs and one undesirable output, namely NPAs. Due to their inherent technological heterogeneity, public sector banks (PSBs) and private banks (PVBs) have been analysed as separate groups. Balanced panels of 26 PSBs and 18 PVBs are constructed from 2010-2011 to 2016-2017. The results indicate a considerable scope of improvement in the productive performance of both categories of banks. The break-up of overall inefficiency into input- and output-specific components reveals some stimulating information. For PSBs, the inefficiencies primarily result due to physical capital, while for PVBs they emerge mainly from other incomes. However, NPAs are also a key contributor to inefficiency for both the categories of banks. The inefficiency scores also indicate that, across ownership categories, medium-sized banks are poorer performers than their smaller and larger counterparts. JEL: C14, C61, D24, G21","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82612952","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 : 2021-09-01DOI: 10.1177/13915614211035052
A. Mahajan, P. Chand, Harsha Vardhan Pasumarthi
India has imposed anti-dumping duties (ADDs) on a total of 155 commodities against China across many sectors to protect the domestic industry since 2001. The dumping of Chinese goods into Indian markets has led to the downfall and closure of many domestic industries. Under such circumstances, ADDs had been necessitated for protecting the domestic industry. As per the World Trade Organization (WTO) rules, imposition of ADDs on imports is permitted, provided that the affected country establishes that the domestic industry has suffered material injury by such imports. An elaborate discussion explaining the investigation pertaining to ADD and imposition of ADD in relation with WTO rules is presented in the present article. During the period between 2014 and 2018, ADD has been imposed on a total of 121 commodities. The study finds that ADDs have been partially effective in reducing the imports of the commodities. JEL: F13
{"title":"An Analysis of Impact of Anti-dumping Duties on India–China Trade","authors":"A. Mahajan, P. Chand, Harsha Vardhan Pasumarthi","doi":"10.1177/13915614211035052","DOIUrl":"https://doi.org/10.1177/13915614211035052","url":null,"abstract":"India has imposed anti-dumping duties (ADDs) on a total of 155 commodities against China across many sectors to protect the domestic industry since 2001. The dumping of Chinese goods into Indian markets has led to the downfall and closure of many domestic industries. Under such circumstances, ADDs had been necessitated for protecting the domestic industry. As per the World Trade Organization (WTO) rules, imposition of ADDs on imports is permitted, provided that the affected country establishes that the domestic industry has suffered material injury by such imports. An elaborate discussion explaining the investigation pertaining to ADD and imposition of ADD in relation with WTO rules is presented in the present article. During the period between 2014 and 2018, ADD has been imposed on a total of 121 commodities. The study finds that ADDs have been partially effective in reducing the imports of the commodities. JEL: F13","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77188468","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 : 2021-09-01DOI: 10.1177/13915614211034256
Saleh Shahriar
{"title":"Rashed Al Mahmud Titumir, Numbers and Narratives in Bangladesh’s Economic Development","authors":"Saleh Shahriar","doi":"10.1177/13915614211034256","DOIUrl":"https://doi.org/10.1177/13915614211034256","url":null,"abstract":"","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89961004","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 : 2021-09-01DOI: 10.1177/13915614211037408
Amit Kumar
Dodds, K., Broto, V. C., Detterbeck, K., Jones, M., Mamadouh, V., Ramutsindela, M., Varsanyi, M., Wachsmuth, D., & Woon, C. Y. (2020). The COVID-19 pandemic: Territorial, political and governance dimensions of the crisis. Territory, Politics, Governance, 8(3), 289–298. https://doi.org/10.1080/21622671.2020.1771022 Khatun, F., & Saadat, S. Y. (2020). Youth employment in Bangladesh: Creating opportunities-reaping dividends. Singapore: Palgrave Macmillan. Mahmud, M. S., Roth, D., & Warner, J. (2020). Rethinking ‘development’: Land dispossession for the Rampal power plant in Bangladesh. Land Use Policy, 94, 104492. https://doi.org/10.1016/j.landusepol.2020.104492 Rahman, A., & Hossain, R. (2020). The uncomfortable truth about land disputes in Bangladesh: Insights from a household survey. Land Use Policy, 95, 104557. https:// doi.org/10.1016/j.landusepol.2020.104557 Robin, I., Salim, R., & Bloch, H. (2017). Cost efficiency in Bangladesh banking: Does financial reform matter? Applied Economics, 50(8), 891–904. https://doi.org/10.1080 /00036846.2017.1346361
{"title":"Pankaj Sekhsaria, Nanoscale: Society’s Deep Impact on Science, Technology and Innovation in India","authors":"Amit Kumar","doi":"10.1177/13915614211037408","DOIUrl":"https://doi.org/10.1177/13915614211037408","url":null,"abstract":"Dodds, K., Broto, V. C., Detterbeck, K., Jones, M., Mamadouh, V., Ramutsindela, M., Varsanyi, M., Wachsmuth, D., & Woon, C. Y. (2020). The COVID-19 pandemic: Territorial, political and governance dimensions of the crisis. Territory, Politics, Governance, 8(3), 289–298. https://doi.org/10.1080/21622671.2020.1771022 Khatun, F., & Saadat, S. Y. (2020). Youth employment in Bangladesh: Creating opportunities-reaping dividends. Singapore: Palgrave Macmillan. Mahmud, M. S., Roth, D., & Warner, J. (2020). Rethinking ‘development’: Land dispossession for the Rampal power plant in Bangladesh. Land Use Policy, 94, 104492. https://doi.org/10.1016/j.landusepol.2020.104492 Rahman, A., & Hossain, R. (2020). The uncomfortable truth about land disputes in Bangladesh: Insights from a household survey. Land Use Policy, 95, 104557. https:// doi.org/10.1016/j.landusepol.2020.104557 Robin, I., Salim, R., & Bloch, H. (2017). Cost efficiency in Bangladesh banking: Does financial reform matter? Applied Economics, 50(8), 891–904. https://doi.org/10.1080 /00036846.2017.1346361","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74368008","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 : 2021-09-01DOI: 10.1177/13915614211029190
Selim Raihan, Mahtab Uddin, Sakil Ahmmed
This article identifies the nature of gendered digital divides between male and female youth (aged 15–29) in the context of Bangladesh. As a measuring indicator for technology inclusiveness, this study examines whether a young male or female owns a mobile phone, the most basic means of accessing the Internet. As observed in the descriptive analysis, on average, 46% of young females have a mobile phone, compared to 79% young males. However, such disparity varies across age cohorts and the divides of rural–urban, poor–non-poor, richer–poorer income deciles, etc. To understand whether there is any significant discrimination against women in terms of technology inclusiveness, this study applies the Blinder–Oaxaca (B–O) decomposition technique. The decomposition analysis shows statistically significant discrimination against women in terms of mobile ownership at both the household and the individual level. The factors such as remittances, average years of schooling of the household members, urban residence, household’s income status, etc., significantly reduce discriminatory behaviour towards young females. JEL: D63, O33, I21
{"title":"Dynamics of Youth and Gender Divide in Technology in Bangladesh","authors":"Selim Raihan, Mahtab Uddin, Sakil Ahmmed","doi":"10.1177/13915614211029190","DOIUrl":"https://doi.org/10.1177/13915614211029190","url":null,"abstract":"This article identifies the nature of gendered digital divides between male and female youth (aged 15–29) in the context of Bangladesh. As a measuring indicator for technology inclusiveness, this study examines whether a young male or female owns a mobile phone, the most basic means of accessing the Internet. As observed in the descriptive analysis, on average, 46% of young females have a mobile phone, compared to 79% young males. However, such disparity varies across age cohorts and the divides of rural–urban, poor–non-poor, richer–poorer income deciles, etc. To understand whether there is any significant discrimination against women in terms of technology inclusiveness, this study applies the Blinder–Oaxaca (B–O) decomposition technique. The decomposition analysis shows statistically significant discrimination against women in terms of mobile ownership at both the household and the individual level. The factors such as remittances, average years of schooling of the household members, urban residence, household’s income status, etc., significantly reduce discriminatory behaviour towards young females. JEL: D63, O33, I21","PeriodicalId":39966,"journal":{"name":"South Asia Economic Journal","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75258654","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}
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