Pub Date : 2024-04-17DOI: 10.1177/00194662241241870
S. Chowdhury, Dona Ghosh
The COVID-19 pandemic has triggered massive supply chain disruptions, job losses and income shocks at the micro-level. This has repercussions on the labour market outcomes not only at the macro-level but also at the micro-level labour supply decisions. This article provides a theoretical model of the impact of such recessionary income shocks on household’s child labour (CL) decision. CL has been a major concern for the developing world, especially for India with its goal towards ‘inclusive growth’. Parental altruism and choice of substituting CL income by their own are endogenous. Interestingly, income shocks have ambiguous effect on CL in general, but they have a clear positive impact on regions with high cost of living. When wages are inflexible, such shocks, depending upon their extent, might be CL-inducing as well as poverty-enhancing. It infers that any in-kind transfer or policies such as mid-day meal that essentially reduces cost of living is always CL-reducing. JEL Codes: J13, J29, D10
{"title":"Income Shock and Child Labour: Revisiting the Poverty Link","authors":"S. Chowdhury, Dona Ghosh","doi":"10.1177/00194662241241870","DOIUrl":"https://doi.org/10.1177/00194662241241870","url":null,"abstract":"The COVID-19 pandemic has triggered massive supply chain disruptions, job losses and income shocks at the micro-level. This has repercussions on the labour market outcomes not only at the macro-level but also at the micro-level labour supply decisions. This article provides a theoretical model of the impact of such recessionary income shocks on household’s child labour (CL) decision. CL has been a major concern for the developing world, especially for India with its goal towards ‘inclusive growth’. Parental altruism and choice of substituting CL income by their own are endogenous. Interestingly, income shocks have ambiguous effect on CL in general, but they have a clear positive impact on regions with high cost of living. When wages are inflexible, such shocks, depending upon their extent, might be CL-inducing as well as poverty-enhancing. It infers that any in-kind transfer or policies such as mid-day meal that essentially reduces cost of living is always CL-reducing. JEL Codes: J13, J29, D10","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":" 28","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140691248","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 : 2024-04-15DOI: 10.1177/00194662241238590
Aadil Ummar Zaman, N. Khan
This article examines the performance of cooperative banks in Jammu and Kashmir (J&K) during 2005–2018. We use data envelopment analysis (DEA) methodology to obtain technical and scale efficiency scores for each bank over the years. Income-based approach has been employed while selecting our inputs and outputs. Our results indicate a large asymmetry as far as the performance across different banks is concerned. The dominant source of the technical inefficiency in the cooperative banks is found to be scale related. Further, the results from returns to scale suggest that majority of the cooperative banks in J&K are operating on the zone of decreasing returns to scale.
{"title":"Evaluating Technical and Scale Efficiencies of Cooperative Banks in Jammu and Kashmir","authors":"Aadil Ummar Zaman, N. Khan","doi":"10.1177/00194662241238590","DOIUrl":"https://doi.org/10.1177/00194662241238590","url":null,"abstract":"This article examines the performance of cooperative banks in Jammu and Kashmir (J&K) during 2005–2018. We use data envelopment analysis (DEA) methodology to obtain technical and scale efficiency scores for each bank over the years. Income-based approach has been employed while selecting our inputs and outputs. Our results indicate a large asymmetry as far as the performance across different banks is concerned. The dominant source of the technical inefficiency in the cooperative banks is found to be scale related. Further, the results from returns to scale suggest that majority of the cooperative banks in J&K are operating on the zone of decreasing returns to scale.","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":"11 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140702320","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 : 2024-04-12DOI: 10.1177/00194662241238592
Tapas Kumar Sethy, N. Tripathy
This study empirically investigates the return and volatility spillover among equity markets, Agro and non-Agro commodity markets. The study has used daily return data of BSE SENSEX as equity index, MCX iCOMEDEX, including Gold, Silver, and Crude oil, as non-agro indices, and NCDEX (AGRIDEX) as agro commodity indices to analyze volatility transmission between assets and markets using Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and Exponential Generalized Autoregressive Conditional Heteroscedastic (EGARCH) model. The study has used dummy variables in the variance equation to identify the structural breaks during the COVID 19 pandemic. Further, Vector Auto Regression (VAR) pair-wise Granger causality test has been used to understand returns’ causality. The study has found a bidirectional and unidirectional causal relationship between variables. The study indicates that NCDEX could influence all the variables except MCX Gold. In structural breaks with deterministic dummy variables during COVID-19, we have found mixed evidence of asymmetric impact on conditional volatility. The study also indicates a positive and significant asymmetric volatility effect in the case of MCX Gold and MCX Silver during the COVID-19 period. The study has specified that SENSEX dominates the inflow of information to all commodity markets. Also, the findings signpost that information flows from NCDEX to MCX Gold, MCX Silver, and MCX Crude Oil. JEL Codes: C32, E30, E44, F41, G15, Q43
{"title":"Return and Volatility Spillover in Equity and Commodity Market: Some Indian Evidence","authors":"Tapas Kumar Sethy, N. Tripathy","doi":"10.1177/00194662241238592","DOIUrl":"https://doi.org/10.1177/00194662241238592","url":null,"abstract":"This study empirically investigates the return and volatility spillover among equity markets, Agro and non-Agro commodity markets. The study has used daily return data of BSE SENSEX as equity index, MCX iCOMEDEX, including Gold, Silver, and Crude oil, as non-agro indices, and NCDEX (AGRIDEX) as agro commodity indices to analyze volatility transmission between assets and markets using Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and Exponential Generalized Autoregressive Conditional Heteroscedastic (EGARCH) model. The study has used dummy variables in the variance equation to identify the structural breaks during the COVID 19 pandemic. Further, Vector Auto Regression (VAR) pair-wise Granger causality test has been used to understand returns’ causality. The study has found a bidirectional and unidirectional causal relationship between variables. The study indicates that NCDEX could influence all the variables except MCX Gold. In structural breaks with deterministic dummy variables during COVID-19, we have found mixed evidence of asymmetric impact on conditional volatility. The study also indicates a positive and significant asymmetric volatility effect in the case of MCX Gold and MCX Silver during the COVID-19 period. The study has specified that SENSEX dominates the inflow of information to all commodity markets. Also, the findings signpost that information flows from NCDEX to MCX Gold, MCX Silver, and MCX Crude Oil. JEL Codes: C32, E30, E44, F41, G15, Q43","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":"25 65","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140711446","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 : 2024-04-10DOI: 10.1177/00194662241238587
Mehak Majeed, Saeed Owais Mushtaq
The inter-regional disparity in economic indicators in India has increased by a considerable amount over the years. The current study is an attempt to highlight the inter-state industrialisation disparities in India. The study, based on the theoretic exposition of new economic geography, argues that the initial geographical (historical) advantage to the southern part of India has locked in industrial activities in that region (core), depriving the northern (periphery) regions of the similar benefits. Based on the Annual Survey of Industries data, the study validates that the southern regions are geographically advantageous in India and are better industrialised than the geographically disadvantaged northern regions. The study points towards the negligence of the union government in acknowledging and intervening into the industrialisation and developmental divides rampant in the latter regions. The study concludes by laying grounds open for the furtherance in the recognition of economic geography as one of the fundamental determinants of inter-regional inequalities across India, demanding immediate policy attention. JEL Codes: J61, O14
{"title":"Unbalanced Industrialisation and Geographic Peculiarities: \u2028A Study of India?","authors":"Mehak Majeed, Saeed Owais Mushtaq","doi":"10.1177/00194662241238587","DOIUrl":"https://doi.org/10.1177/00194662241238587","url":null,"abstract":"The inter-regional disparity in economic indicators in India has increased by a considerable amount over the years. The current study is an attempt to highlight the inter-state industrialisation disparities in India. The study, based on the theoretic exposition of new economic geography, argues that the initial geographical (historical) advantage to the southern part of India has locked in industrial activities in that region (core), depriving the northern (periphery) regions of the similar benefits. Based on the Annual Survey of Industries data, the study validates that the southern regions are geographically advantageous in India and are better industrialised than the geographically disadvantaged northern regions. The study points towards the negligence of the union government in acknowledging and intervening into the industrialisation and developmental divides rampant in the latter regions. The study concludes by laying grounds open for the furtherance in the recognition of economic geography as one of the fundamental determinants of inter-regional inequalities across India, demanding immediate policy attention. JEL Codes: J61, O14","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":"49 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140717383","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 : 2024-04-09DOI: 10.1177/00194662241238500
D. Rooj, Anurag Banerjee, R. Sengupta
This article aims to analyse how economic policy uncertainty (EPU) affects consumer confidence in India. The study uses unit-level observations on consumer confidence from the Reserve Bank of India’s Consumer Confidence Survey from June 2016 to May 2021. Exploring the variations in consumer confidence across several cities in India, the regression exercise shows how India-specific EPU and global EPU impact consumer confidence. Findings from the study show that EPU has a negative and significant impact on consumers’ perceptions and outlook about the economy. The results also show that the effect of global EPU is stronger, compared to India-specific EPU. A disaggregated analysis is also conducted to analyse the impact of EPU on several consumer confidence indicators, such as the perception and the outlook on household income, spending, employment and general price levels. Contrary to the current literature, this study uses individual-level responses on consumer confidence from survey data and examines the role of EPU on consumer sentiments. Overall, the findings suggest that news-based economic policy-related uncertainty shocks negatively affect households’ sentiments. Moreover, a disaggregated analysis is also conducted for several consumer confidence indicators such as perception and outlook on household income, spending, employment and general price levels. JEL Codes: E66, E71, H31
{"title":"Economic Policy Uncertainty and Household Consumer Confidence: Evidence from Indian Household \u2028Data","authors":"D. Rooj, Anurag Banerjee, R. Sengupta","doi":"10.1177/00194662241238500","DOIUrl":"https://doi.org/10.1177/00194662241238500","url":null,"abstract":"This article aims to analyse how economic policy uncertainty (EPU) affects consumer confidence in India. The study uses unit-level observations on consumer confidence from the Reserve Bank of India’s Consumer Confidence Survey from June 2016 to May 2021. Exploring the variations in consumer confidence across several cities in India, the regression exercise shows how India-specific EPU and global EPU impact consumer confidence. Findings from the study show that EPU has a negative and significant impact on consumers’ perceptions and outlook about the economy. The results also show that the effect of global EPU is stronger, compared to India-specific EPU. A disaggregated analysis is also conducted to analyse the impact of EPU on several consumer confidence indicators, such as the perception and the outlook on household income, spending, employment and general price levels. Contrary to the current literature, this study uses individual-level responses on consumer confidence from survey data and examines the role of EPU on consumer sentiments. Overall, the findings suggest that news-based economic policy-related uncertainty shocks negatively affect households’ sentiments. Moreover, a disaggregated analysis is also conducted for several consumer confidence indicators such as perception and outlook on household income, spending, employment and general price levels. JEL Codes: E66, E71, H31","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":"132 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140726086","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 : 2024-04-09DOI: 10.1177/00194662241238598
Himani Gupta
In a country, the financial markets depend on several economic factors. One of these important factors is the export of the country. The stock index of the country tends to be raised due to the exports, though it may occur after some time rather than immediately. In this study, an attempt has been made to predict the best model of volatility in top export countries, Germany, China, the United States, Japan and Hong Kong by taking into account the closing price of the stock index of the sampled countries for a period ranging from the year 2000 to 2020. The returns from the stock markets are asymmetric; negative returns are found to be followed by a greater increase in volatility than the corresponding positive returns. Therefore, both symmetric and asymmetric generalised autoregressive conditional heteroscedasticity (GARCH) models have been applied to predict the volatility. The symmetric model used is GARCH (1,1) and asymmetric models used in the study are exponential GARCH (1,1) and GJR-GARCH (1,1). The study shows that EGARCH model has outperformed the GARCH and GJR-GARCH models in estimating the volatility in four stock indices ( Hanif & Pok, 2010 ; Kışınbay, 2010 ; Lin, 2018 ), and GJR-GARCH has outperformed in estimating volatility in one stock index ( Oberholzer & Venter, 2015 ; Shamiri & Hassan, 2007 ). The benefit of this study is to help portfolio managers, investors and corporations in making investment-related decisions. JEL Codes: C20, C31, C58, G12
{"title":"Asymmetric Volatility in Stock \u2028Market: Evidence from Selected \u2028Export-based Countries","authors":"Himani Gupta","doi":"10.1177/00194662241238598","DOIUrl":"https://doi.org/10.1177/00194662241238598","url":null,"abstract":"In a country, the financial markets depend on several economic factors. One of these important factors is the export of the country. The stock index of the country tends to be raised due to the exports, though it may occur after some time rather than immediately. In this study, an attempt has been made to predict the best model of volatility in top export countries, Germany, China, the United States, Japan and Hong Kong by taking into account the closing price of the stock index of the sampled countries for a period ranging from the year 2000 to 2020. The returns from the stock markets are asymmetric; negative returns are found to be followed by a greater increase in volatility than the corresponding positive returns. Therefore, both symmetric and asymmetric generalised autoregressive conditional heteroscedasticity (GARCH) models have been applied to predict the volatility. The symmetric model used is GARCH (1,1) and asymmetric models used in the study are exponential GARCH (1,1) and GJR-GARCH (1,1). The study shows that EGARCH model has outperformed the GARCH and GJR-GARCH models in estimating the volatility in four stock indices ( Hanif & Pok, 2010 ; Kışınbay, 2010 ; Lin, 2018 ), and GJR-GARCH has outperformed in estimating volatility in one stock index ( Oberholzer & Venter, 2015 ; Shamiri & Hassan, 2007 ). The benefit of this study is to help portfolio managers, investors and corporations in making investment-related decisions. JEL Codes: C20, C31, C58, G12","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":"10 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140726723","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 : 2024-04-08DOI: 10.1177/00194662241238586
Panchali Sengupta, Anjan Chakrabarti
In the post-economic reform period, the overall economic growth of West Bengal has been increasing. However, agricultural growth has become sluggish since the 1990s. The relatively low contribution of the secondary sector reveals an absence of a strong manufacturing base in the state. The high contribution of the tertiary sector indicates diversification and expansion of services. The time dimension for district-level analysis has been constricted by data availability. The inequality among the district is increasing, with a divergence of growth. Three development indices and a composite index reveal a significant disparity in development outcomes across districts between 2001 and 2013. The developmental gap between districts in the southern and northern parts of West Bengal has become prominent. JEL Codes: R11, 047, D63
{"title":"A Comparative Study of Regional Disparities in the Districts of West Bengal","authors":"Panchali Sengupta, Anjan Chakrabarti","doi":"10.1177/00194662241238586","DOIUrl":"https://doi.org/10.1177/00194662241238586","url":null,"abstract":"In the post-economic reform period, the overall economic growth of West Bengal has been increasing. However, agricultural growth has become sluggish since the 1990s. The relatively low contribution of the secondary sector reveals an absence of a strong manufacturing base in the state. The high contribution of the tertiary sector indicates diversification and expansion of services. The time dimension for district-level analysis has been constricted by data availability. The inequality among the district is increasing, with a divergence of growth. Three development indices and a composite index reveal a significant disparity in development outcomes across districts between 2001 and 2013. The developmental gap between districts in the southern and northern parts of West Bengal has become prominent. JEL Codes: R11, 047, D63","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":"174 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140730800","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 : 2024-04-07DOI: 10.1177/00194662241238594
Laxmidhar Samal
Base metals are the key input used in different critical industries which are vital to the economy. After lifting the prohibition on commodity futures trading in 2003, there has been a surge in the volume, value and open interest of the commodity futures segment in India. Considering the growth momentums of futures, the article is an attempt to examine the market efficiency of the metal futures in India. The study examines the weak-form market efficiency of different base metal futures contracts traded at Multi Commodity Exchange of India. For the said objective, the study uses fully modified ordinary least square and dynamic ordinary least square methods. The study concludes that there exists a long-run cointegrating relationship between the spot and futures prices of different base metals, and it is found that the base metals futures markets of India are less efficient. The period of the study is limited to 7 years, and the study has considered only near-month contracts. Future research will explore the efficiency of the base metal market of other developing nations. JEL Codes: G13, G14, C58
{"title":"Market Efficiency of Base Metal \u2028Futures in India: An Empirical \u2028Evidence","authors":"Laxmidhar Samal","doi":"10.1177/00194662241238594","DOIUrl":"https://doi.org/10.1177/00194662241238594","url":null,"abstract":"Base metals are the key input used in different critical industries which are vital to the economy. After lifting the prohibition on commodity futures trading in 2003, there has been a surge in the volume, value and open interest of the commodity futures segment in India. Considering the growth momentums of futures, the article is an attempt to examine the market efficiency of the metal futures in India. The study examines the weak-form market efficiency of different base metal futures contracts traded at Multi Commodity Exchange of India. For the said objective, the study uses fully modified ordinary least square and dynamic ordinary least square methods. The study concludes that there exists a long-run cointegrating relationship between the spot and futures prices of different base metals, and it is found that the base metals futures markets of India are less efficient. The period of the study is limited to 7 years, and the study has considered only near-month contracts. Future research will explore the efficiency of the base metal market of other developing nations. JEL Codes: G13, G14, C58","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":"49 15","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140733443","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 : 2024-04-05DOI: 10.1177/00194662241235619
Ranjan Aneja, Shine Raju Kappil, Surender Mor
This article analyses the technical efficiency of public healthcare systems within various states of India. Slacks-based efficiency model (SBM) to compare the efficiencies of the public healthcare systems of selected Indian states has been used. A comparison of budget documents and government responses during the pandemic revealed the changing stereotypical stand of the Central Government towards the health sector, especially after the advent of the pandemic. Further, the study found that the public healthcare systems of four states (Bihar, Kerala, Maharashtra and NCT of Delhi) are SBM efficient. Healthcare resources are over-utilised in most states, but health outcomes still need to be improved. The study recommends connecting poor and illiterate citizens in remote villages with public health utilities to improve health outcomes. JEL Codes: H51, H52, H75
{"title":"Efficiency of Public Healthcare Systems Across Indian States","authors":"Ranjan Aneja, Shine Raju Kappil, Surender Mor","doi":"10.1177/00194662241235619","DOIUrl":"https://doi.org/10.1177/00194662241235619","url":null,"abstract":"This article analyses the technical efficiency of public healthcare systems within various states of India. Slacks-based efficiency model (SBM) to compare the efficiencies of the public healthcare systems of selected Indian states has been used. A comparison of budget documents and government responses during the pandemic revealed the changing stereotypical stand of the Central Government towards the health sector, especially after the advent of the pandemic. Further, the study found that the public healthcare systems of four states (Bihar, Kerala, Maharashtra and NCT of Delhi) are SBM efficient. Healthcare resources are over-utilised in most states, but health outcomes still need to be improved. The study recommends connecting poor and illiterate citizens in remote villages with public health utilities to improve health outcomes. JEL Codes: H51, H52, H75","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":"39 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140737961","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 : 2024-04-02DOI: 10.1177/00194662241235598
Sugandh Arora, T. Nabi, Sumit Oberoi, Vedica Awasthi
Household food security (HFS) affects the quality and adequacy of nutrition and can significantly impact an individual’s health. The study aims to examine the association between HFS and maternal quality of life in Punjab. The cross-sectional study was conducted in the northern Indian state of Punjab from January to March 2021 on 384 expectant mothers. The urban health facilities were chosen using the random cluster selection approach from geographical locations in Punjab, India. A well-structured questionnaire was adapted from HFS and health-related quality of life (HR-QoL) that was used to collect the data. Descriptive statistics were used to investigate the socioeconomic status and food security. HFS and HR-QOL relationship was studied using multilinear regression. The results revealed that 43.9% of expectant women experienced food insecurity. Mean (±SD) scores for the domains of ‘social performance’ (84.4 ± 16.6) and ‘role limitation due to physical reasons’ (64.5 ± 35.5) were the highest in pregnant women. Quality of life scores for expectant mothers with food insecurity were the lowest. Due to physical reasons, role constraint scored the weakest for pregnant women with food insecurity (64.3 ± 45.5, 69.1 ± 43.2 and 49.3 ± 57.2, respectively, for mild, moderate and severe food insecurity). High-risk pregnant women screened for HFS in their primary prenatal care can increase their diet quality and quantity. Additionally, there is a need for multi-level actions such as policy development, resource allocation and proper amenities to ensure expectant mothers have access to nutritious food. JEL Codes: D1, I0, I30, I31
{"title":"Prevalence of Household Food Security and Health-related Quality of Life: Special Consideration on the Expectant Mothers in Punjab","authors":"Sugandh Arora, T. Nabi, Sumit Oberoi, Vedica Awasthi","doi":"10.1177/00194662241235598","DOIUrl":"https://doi.org/10.1177/00194662241235598","url":null,"abstract":"Household food security (HFS) affects the quality and adequacy of nutrition and can significantly impact an individual’s health. The study aims to examine the association between HFS and maternal quality of life in Punjab. The cross-sectional study was conducted in the northern Indian state of Punjab from January to March 2021 on 384 expectant mothers. The urban health facilities were chosen using the random cluster selection approach from geographical locations in Punjab, India. A well-structured questionnaire was adapted from HFS and health-related quality of life (HR-QoL) that was used to collect the data. Descriptive statistics were used to investigate the socioeconomic status and food security. HFS and HR-QOL relationship was studied using multilinear regression. The results revealed that 43.9% of expectant women experienced food insecurity. Mean (±SD) scores for the domains of ‘social performance’ (84.4 ± 16.6) and ‘role limitation due to physical reasons’ (64.5 ± 35.5) were the highest in pregnant women. Quality of life scores for expectant mothers with food insecurity were the lowest. Due to physical reasons, role constraint scored the weakest for pregnant women with food insecurity (64.3 ± 45.5, 69.1 ± 43.2 and 49.3 ± 57.2, respectively, for mild, moderate and severe food insecurity). High-risk pregnant women screened for HFS in their primary prenatal care can increase their diet quality and quantity. Additionally, there is a need for multi-level actions such as policy development, resource allocation and proper amenities to ensure expectant mothers have access to nutritious food. JEL Codes: D1, I0, I30, I31","PeriodicalId":509033,"journal":{"name":"The Indian Economic Journal","volume":"44 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140752114","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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