A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All
Ghosh, Abhijit
- Gram Panchayats of Purulia, West Bengal:A Study of Governance and Service Delivery
Authors
1 Division of Economics,A N Sinha Institute of Social Studies, Patna 800001, Bihar, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 56, No 4 (2014), Pagination: 443-455Abstract
This study examines the link between the role of people's participation and institutional structure of panchayat body in ensuring good governance and improving service delivery system. All the gram (village) panchayats of Purulia, one of the backward districts of West Bengal, are considered. Four composite indices-service delivery index (SDI), Participation Index (PI) and Institutional Index (II), combination of many indicators, have been constructed. The other dimensions of governance having influence on the service delivery are incorporated in the model as a qualitative variable. Analysis shows that II and qualitative variables have no significant impact on SDI. This calls for reviewing and revisiting our existing public policy.- Human Development and its Mobility: A Study in some Selected Blocks of West Bengal
Authors
1 Department of Economics, Burdwan University, Burdwan, West Bengal, IN
2 Division of Economics, A.N. Sinha Institute of Social Sciences, Patna, Bihar, IN
Source
Journal of Rural Development, Vol 32, No 2 (2013), Pagination: 139-163Abstract
In this paper, we have considered human welfare in the global era as captured by a set of socio-economic indicators. For this purpose we have selected all the blocks of five districts (Howrah, North 24 Parganas, Burdwan, Purulia and Malda) of West Bengal on the basis of ranking in West Bengal Human Development Report (2004) during the two Census points (1991 and 2001). For the analysis, we have considered both an aggregate and disaggregate approach. In the aggregate approach we have constructed a composite Modified Human Development Index (MHDI) for all the blocks of the five selected districts following United Nations Development Programme (UNDP) formula, used for the construction of Human Development Index (HDI). This combined MHDI is a combination of three indices-an index of health outcome, an educational attainment index and an income index. The relevant data are gathered from Census Reports. The temporal movement of this MHDI is noted. For disaggregate analysis, we have used mean-proportions of the socio-economic indicators and their transition across the two recent Census points. The constructed mobility matrices reveal positional movement of the rural areas in this decade.- Urbanisation and Human Welfare in the Era of Globalisation: A Case Study in Burdwan, West Bengal
Authors
1 Department of Economics, Burdwan University, Burdwan, West Bengal, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 50, No 2 (2008), Pagination: 129-150Abstract
Urbanization is referred to as a process in which an increasing proportion of population lives in cities and the suburbs of the cities. This paper analyses the changes in human welfare associated with urbanization in the global era as captured by a set of socio-economic indicators. The study is undertaken for nine municipalities of Burdwan district of West Bengal, India, during the two census points (1991 and 2001). Due to limitations in data availability at district level, a composite Modified Human Development Index (MHDI) is constructed. It is found that there are persistent inequities in the human welfare of urbanization in a global era. There is a decline of traditional urban centers and rise of new centers and there is little correlation between facilities and outcome. However, the results cannot be generalized without covering more districts and time points.- Factors Affecting Online Consumers Purchase Intention
Authors
1 Department of Business and Hospitality, Lincoln University College, MY
Source
Management Dynamics, Vol 15, No 2 (2015), Pagination: 9-19Abstract
Innovation in technology has enhanced many fields. The sector which is highly influenced by technological development is online retailing. The rapid spread of E-Commerce provides great benefits both for consumers and sellers. On the other side, the complexity of online marketplaces produces new issues and challenges. These escalating concerns about E-Commerce can restrict its growth and discourage consumers from performing online activities. This paper aims to examine the factors which affect the Indian online consumers' purchase intention on the basis of framework proposed by the authors in the form of 3R's (Reliability, Risk and Responsiveness) of online shopping.
Since this study is conceptual in nature, the novelty of this article is mounted on researching the existing theoretical retail concepts and implying them in the case of current challenges faced by online consumers. The result of this study adds to the existing literature on E-Commerce by introducing the concept of 3R's of online shopping which is found to be the major cause of concern among Indian econsumers and affect their online shopping intention resulting in distrust, dissatisfaction and disloyalty towards the online retailers.
Keywords
Online Marketplace, E-Commerce, Online Retailing, Purchase Intention, Online Consumers, Shopping Intention.- Factors behind Access to Latrine in India:An Application of Multinomial Logistic Regression Model
Authors
1 A N Sinha Institute of Social Studies, Patna 800001, Bihar, IN
2 National Sample Survey office (Coordination and Publication Division), Ministry of Statistics and Programme Implementation, Government of India; New Delhi 110003, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 61, No 2 (2019), Pagination: 189-203Abstract
This paper attempts to find out the factors that influence the owning of a latrine. For this purpose, unit level NSSO data of 69th round, collected exclusively to get an idea of this, has been used. On the extracted unit data, Multinomial Logistic Regression Model has been applied. Different sets of socio-economic and governance indicators are chosen as the predictors. Based on the available questions, the type of latrine has been divided into three categories-latrine exclusively use for household. Second one clubs different types of latrines to form as fixed point latrines. The third one is categorised as no latrine. In running MLR, no latrine is considered as reference category. All the predictors, starting from religion, region, location, caste and economic conditions have positive and significant impact on owning a latrine. Therefore, the latrine problem, usually being typed as only traditional and cultural problem, needs to look from holistic angle and it is recommended that while designing public policy all these factors are considered to mitigate the problem.References
- Andres Luis A., Bertha Briceño, Claire Chase, and Juan A. Echenique (2014), Sanitation and Externalities Evidence from Early Childhood Health in Rural India, Policy Research Working Paper 6737, The World Bank, South Asia Region, Sustainable Development Unit and Sustainable Development Network Water and Sanitation Program, January 2014.
- Coffey, Diane, Aashish Gupta, Payal Hathi, Dean Spears, Nikhil Srivastav and Sangita Vyas (2017), Understanding Open Defecation in Rural India: Untouchability, Pollution, and Latrine Pits, Economic and Political Weekly, 52(1): 59-66.
- Coffey, Diane, Aashish Gupta, Payal Hathi, Nidhi Khurana, Dean Spears, Nikhil Srivastav and Sangita Vyas (2014), Revealed Preference for Open Defecation Evidence from a New Survey in Rural North India, Economic and Political Weekly, XLIX(49): 43-55, September.
- Das Gupta, M., R. Shukla, T.V. Somanathan and K.K. Datta (2009), How Might India’s Public Health Systems Be Strengthened?, Policy Research Working Paper 5140, The World Bank Development Research Group, Human Development and Public Services Team, November.
- Doron, Assa and Robin Jeffrey (2014), Open Defecation in India, Economic and Political Weekly, XLIX(49): 72-78, December.
- Dreze, Jean and Amartya Sen (2012), Putting Growth in its Place, Yojana, 56: 35-40, January.
- ---------- (2013), An Uncertain Glory: India and Its Contradictions, Allen Lane, Penguin Group, New Delhi.
- Esrey, S.A., J.B. Potash, L. Roberts and C. Schiff (1991), Effects of Improved Water Supply and Sanitation on Ascariasis, Diarrhoea, Dracunculiasis, Hookworm Infection, Schistosomiasis, and Trachoma, Bulletin of the World Health Organization, 69(5): 609-621.
- Fewtrell, L., R.B. Kaufmann, D. Kay, W. Enanoria, L. Haller and J.M. Colford Jr, (2005), Water, Sanitation, and Hygiene Interventions to Reduce Diarrhoea in Less Developed Countries: A Systematic Review and Meta-Analysis, The Lancet Infectious Diseases, 5(1): 42-52.
- Geruso, Michael and Dean Spears (2014), Sanitation and Health Externalities: Resolving the Muslim Mortality Paradox, University of Texas at Austin Working Paper.
- Ghosh, A. (2015), Status of Preventive Health Care in Bihar: A District Level Study, Journal of Health Management, 17(2): 178-194, June.
- Government of India (2001 and 2011), Census of India (2001 and 2011), Ministry of Home Affairs, Government of India.
- Mishra, S. (2005), Public Health Scenario in India, India Development Report (2004-05), Indira Gandhi Institute of Development Research, edited by Kirti S. Parikh and R. Radhakrishna, Oxford University Press, New Delhi.
- Mukesh and N. Srivastava (2015), Impact of Socio‐Economic Background on School Dropout Rates in Rural India, Journal of Educational Planning and Administration, Volume: xxix, No. 1, pp. 29‐36, January.
- Pruss-Ustun, Annette, Robert Boss, Fiona Gore and Jamie Bartram (2008), Safer Water, Better Health, Geneva: World Health Organisation.
- Sinhathambu, A. (2004), Coping with Poverty in the Health Sector: Evidence from Public Spending in Thailand, Asia-Pacific Development Journal, 11(2): 33-58, December.
- UNDP (2006), Human Development Report 2006: Beyond Scarcity: Power, Poverty and the Global Water Crisis, New York United Nation Development Programme (UNDP).Pub
- Household Expenditure Pattern on School Education in India: Evidence from NSSO Data
Authors
1 Assistant Professor of Economics, Mahatma Gandhi College, Lalpur, Purulia 723130, West Bengal, (formerly with A N Sinha Institute of Social Studies, Patna, Bihar), IN
2 Director, Department of Fisheries, Ministry of Fisheries, Animal Husbandry and Dairying, Government of India, New Delhi 110003, IN
Source
Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Vol 64, No 1 (2022), Pagination: 34-56Abstract
This paper is an attempt to study the pattern of the household expenditure in school education in India. Three age groups are considered for the analysis: Primary school age group (5-10 years), Upper Primary school age group (11- 14 years) and Secondary and Higher Secondary school age group (15-18 Years). Using NSSO 71st (2014) round unit level data, it is found that there is: (a) higher average household expenditure in urban area than that of rural, (b) substantial gap in average expenditure for male and female students and (c) average household expenditure is higher in the developed states. The major components of household expenditure for all the age groups are course fee; and expenditure on books, stationary and uniform at all India level. The percentage share of private coaching becomes higher while moving to higher age groups. The elasticity of substitution is estimated separately for religion, caste and state specific at different age level as mentioned above. It is found that a household is ready to spend more than one per cent due to one per cent change in household consumption expenditure for all states, religions and social groups. The values of the estimated coefficients become less from age group 5-10 to the age group 15-18 in most cases. This implies that guardians do not want to give up the opportunity cost to be spent on their children. This suggest that government should invest more in education sector to attract more household expenditure on education as households positively respond to the change in consumption expenditure.Keywords
No keywordsReferences
- Chakrabarty, A. and R. Jogelkar (2006), Determinants of Expenditure on Education: An Empirical Analysis Using State Level Data, Economic and Political Weekly, 41(15): 1465-1472, April 15.
- Chakraborty, Achin (2015), Elementary Education in India: Disentangling Quantity-Quality and Public-Private, Journal of Social and Economic Studies, XXV(1-2): 1-11.
- Choudhury, Amit (2006), Revisiting Dropouts: Old Issues, Fresh Perspectives, Economic and Political Weekly, 41(51): 5257-5263, December 23.
- Choudhury, K. and S. Roy (2006), Do Parents Spread Educational Expenditure Evenly across the Two Genders? Evidences from Two North Indian States, Economic and Political Weekly, 43(51): 5276-5282, December 23.
- Dreze, J. and A. Sen (2012), An Uncertain Glory: India and Its Contradictions, New Delhi: Allen Lane, Penguin Group.
- Ghosh, Abhijit (2018), Enrolment and Dropout in Schools in India- Evidence from NSSO Data, Journal of Educational Planning and Administration, XXXII(1): 15-33.
- Gujarati, D.N. and Sangeetha (2007), Basic Econometrics, Tata McGraw Hill Education Private Limited, New York, Fourth Edition.
- Majumdar, T. (2006), Cost and Financing of Elementary Education in India, in Santosh Mehrotra (Eds.), In the Economics of Elementary Education in India: The Challenges of Public Finance, Private Provision and Household Costs, Sage Publications, New Delhi.
- Ministry of Statistics and Programme Implementation (2014), India- Social Consumption, Health, National Sample Survey Organization, 71st Round, Jan. June, Government of India, New Delhi.
- Ramachandran, Vimala (2003), Backward and Forward Linkages that Strengthen Primary Education, Economic and Political Weekly, 38(10): 959-968, March 8.
- Sikdar, S. and A.N Mukherjee (2012), Enrolment and Dropout Rate in School Education, Economic and Political Weekly, XLVII(1): 27-31, January 7.
- Saha, A. (2013), An Assessment of Gender Discrimination in Household Expenditure on Education in India, Oxford Development Studies, 41(2): 220-238.
- Tilak, J.B.G. (2002), Determinants of Household Expenditure on Education in Rural India, National Council of Applied Economic Research, Working Paper No.88.
- Efficiency Analysis of Scheduled Commercial Banks of Bihar: An Outreach Perspective
Authors
1 Assistant Professor, Amity University, Patna, Bihar, IN
2 Assistant Professor of Economics, Mahatma Gandhi College, Lalpur, Daldali, Purulia-723130, West Bengal, IN
Source
Journal of Rural Development, Vol 40, No 3 (2021), Pagination: 424-441Abstract
This paper proposes the outreach approach to measure the efficiency of scheduled commercial banks (SCBs) at the district level in Bihar using Data Envelopment Analysis (DEA) for two time periods - 2001 and 2011. An attempt was also made to examine the status of SCBs of Bihar in comparison to other major States of India. This study was conducted in two stages. Firstly, the efficiency scores were calculated using DEA and the result shows that inequality of major States increases in terms of efficiency and within Bihar, it improved during 2001 and 2011. Secondly, the study tried to find out the determinants of banking efficiency using the Tobit regression model. In 2001, the literacy rate and ‘households availing banking services’ are significant at the district level in Bihar. ‘Urbanisation’ is explaining the banking efficiency in 2011, as 88.7 per cent of the people in Bihar live in rural areas. Geographical dummy northeast and southeast regions of Bihar are positively significant in 2001 whereas northwest is significant in 2011. This study calls for policy action to increase the outreach at the sub-regional level by improving efficiency.Keywords
Banking, Efficiency Analysis, Scheduled Commercial Bank, Data Envelopment Analysis (DEA), Bihar, India.References
- Asmild, M., Paradi, J.C., Aggarwall, V. and Schaffnit, C. (2004). Combining DEA Window Analysis with the Malmquist Index Approach in a Study of the Canadian Banking Industry. Journal of Productivity Analysis, 21(1), 67-89.
- Banker, R.D., Charnes, A. and Cooper, W.W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078-1092.
- Benston, G.J. (1965). Branch Banking and Economies of Scale. The Journal of Finance, 20(2), 312331.
- Berger, A.N., Hanweck, G.A. and Humphrey, D.B. (1987). Competitive Viability in Banking: Scale, Scope, and Product Mix Economies. Journal of Monetary Economics, 20(3), 501-520.
- Berger, ALN. and Humphrey, D.B. (1997). Efficiency Of Financial Institutions: International Survey and Directions for Future Research. European Journal of Operational Research, 98(2), 175-212.
- Charnes, A., Cooper, W.W. and Rhodes, E. (1978). Measuring the Efficiency of Decision-Making Units. European journal of operational research, 2(6), 429-444.
- Coats Jr, W.L. (1990). Lessons of Financial Liberalisation for India: Another View. Economic and Political Weekly, 1043-1046.
- Coelli, TJ. (1996). A guide to FRONTIER version 4.1: A Computer Program for Stochastic Frontier Production and Cost Function Estimation (Vol. 7, pp. 1-33). CEPA Working papers.
- Das, A. and Ghosh, S. (2009). Financial Deregulation and Profit Efficiency: A Non-parametric Analysis of Indian Banks. Journal of Economics and Business, 61(6), 509-528.
- Das, S.K. (2010), January. Financial Liberalization and Banking Sector Efficiency: the Indian Experience. In: 12 Money and Finance Conference (pp. 11-12).
- Emrouznejad, A. and Yang, G.L. (2018). A Survey and Analysis of the First 40 Years of Scholarly Literature in DEA: 1978-2016. Socio-Economic Planning Sciences, 61, pp.4-8.
- Farrell, M.J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253-281.
- Henriques, I.C., Sobreiro, V.A., Kimura, H. and Mariano, E.B. (2018). Efficiency in the Brazilian Banking System Using Data Envelopment Analysis. Future Business Journal, 4(2), 157-178.
- Kaur, S. and Gupta, P.K. (2015). Productive Efficiency Mapping of the Indian Banking System Using Data Envelopment Analysis. Procedia Economics and Finance, 25, 227-238.
- Kumar, S. & Gulati, R. (2009). Measuring Efficiency, Effectiveness and Performance of Indian Public Sector Banks. International Journal of Productivity and Performance Management, 591), 5174,
- Ghosh, A., & Dey, S. K. (2014). How Efficiently is Chemical Fertilizer Used in Indian Agriculture? Challenges and Alternatives. Agrarian South: Journal of Political Economy, 3(3), 403-426.
- Gulati, R. & Kumar, S. (2017). Analysing Banks’ Intermediation And Operating Efficiencies Using The Two-Stage Network DEA Model: The Case of India. International Journal of Productivity and Performance Management, 66(4), 500-516.
- Kumar, S. (2010). Banking Sector Reforms and Outreach of Scheduled Commercial Banks in the Northern Region in India. Man & Development, 32(1), 1-16.
- Kumar, M. & Vincent, C. (2011). Benchmarking Indian banks using DEA in Post-Reform Period: A Progressive Time-Weighted Mean Approach. The Service Industries Journal, 31(14), 24552485.
- Kumar, C. & Mishra, S. (2011), February. Banking Outreach and Household Level Access: Analyzing Financial Inclusion in India. In: 13° Annual Conference on Money and Finance in the Indian Economy (pp. 25-26).
- Kumbhakar, S.C. & Sarkar, S. (2003). Deregulation, Ownership, and Productivity Growth in the Banking Industry: Evidence from India. Journal of Money, Credit and Banking, 403-424.
- Mahesh, H.P. & Bhide, S. (2008). Do Financial Sector Reforms Make Commercial Banks More Efficient? A Parametric Exploration of the Indian Case. Margin: The Journal of Applied Economic Research, 2(4), 415-441.
- Ouenniche, J. & Carrales, S. (2018). Assessing Efficiency Profiles of UK Commercial Banks: A DEA Analysis with Regression-Based Feedback. Annals of Operations Research, 266(1-2), 551-587.
- Rajan, S. S., Reddy, K.L.N. & Pandit, V. N. (2011). Efficiency and Productivity Growth in Indian Banking. Centre for Development Economics, Department of Economics, Delhi School of Economics (No. 199). Working Paper.
- Rangarajan, C., & Mampilly, P. (1972). Economies of Scale in Indian Banking, In: Technical Studies for Banking Commission Report, Reserve Bank of India, Bombay, pp. 244-268.
- Ravi, R., & Ghosh, A. (2018). Problems of Banking Outreach in Bihar: A District Level Study. Man and Development, 40(2), 57-76.
- Ray, S.C. & Das, A. (2010). Distribution of Cost and Profit Efficiency: Evidence from Indian Banking. European Journal of Operational Research, 201(1), 297-307.
- Sarma, M. & Pais, J. (2011). Financial Inclusion and Development. Journal of International Development, 23(5), 613-628.
- A. Sengupta, A. & Pal, N. P. (2010). Primary Education In India: Delivery And Outcome-A District Level Analysis Based on DISE Data. Journal of Educational Planning and Administration 24 (1), 5-21
- Sengupta, A., & De, S. (2017). Bank in the Liberalization Era: A Study Based on Non-Parametric Super Efficiency with Panel Tobit, The Journal of Income and Wealth, 39(1), 51-58.
- Sherman, H.D., Gold, F. (1985). Bank Branch Operating Efficiency: Evaluation with Data Envelopment Analysis. Journal of Banking and Finance 9 (2), 297-315.
- Seiford, L.M. & Thrall, R.M. (1990). Recent Developments in DEA: The Mathematical Programming Approach to Frontier Analysis. Journal of Econometrics, 46(1-2), 7-38.
- Tone, K. (2001). A Slacks-based Measure of Efficiency in Data Envelopment Analysis. European Journal of Operational Research, 130(3), 498-509.
- Tran, T.H., Mao, Y., Nathanail, P., Siebers, P.O. & Robinson, D. (2019). Integrating Slacks-Based Measure of Efficiency and Super-Efficiency in Data Envelopment Analysis. Omega, 85, 156-165.
- Thyagarajan, M. (1975). Expansion of Commercial Banking: An Assessment. Economic and Political Weekly, 1819-1824.
- Zha, Y., Liang, N., Wu, M. & Bian, Y. (2016). Efficiency Evaluation of Banks in China: A Dynamic Two Stage Slacks-Based Measure Approach. Omega, 60, 60-72.