Vol. 50, No. 2, 2020
Style of Question Matters: An Experiment with Questions on Gender Violence
Anvesak, Vol. 50 (2), pp. 1-21, Received: 27 Nov. 2020; accepted: 19 Mar. 2021
Manoranjan Pal1, Chaiti Sharma-Biswas1, Sriparna Banerjee2, Anjali Ghosh1, Subhendu Chakrabarti1, Sumana Guha3 and Premananda Bharati1
1Indian Statistical Institute, Kolkata, India
2West Bengal State University, Barasat, India
3St. Xavier’s College, Kolkata, India
Abstract: Reliable data in surveys is a pre-requisite to correct estimates. There are various kinds of ‘response errors’ in surveys which lead to biased or inconsistent estimates of the population parameters. Some of the response errors are not intentional but when it comes to opinion survey, it might often lead to asymmetric distribution of errors. This paper experimented with positive and negative styles of questions in the forms of statements on gender violence, which were canvassed among randomly drawn adult individuals. The analysis of the data using a statistical model revealed that, instead of a single set of questionnaires, one should make two sets - one positive and one negative and canvass the two sets to two independent samples in the population. The model can then be used to estimate the exact proportion of persons who accept the statement.
Key Words: Response error in survey, Style of question, Gender violence, Chi-square test, Statistical model
Determinants of Green Practice by Manufacturing SMEs in Urban Areas of Sri Lanka
Anvesak, Vol. 50 (2), pp. 22-41, Received: 7 Jan. 2021; accepted: 23 Feb. 2021
S.P. Premaratna, Nayani Melegoda, Kumuduni Dissanayake, Sudeera Ranawala and Ranil Senaratna
University of Colombo, Colombo, Sri Lanka
Abstract: This study examines factors that determine green practice adoption by small and medium scale manufacturing enterprises (SMEs) located in urban areas of Sri Lanka. The determinants include technological factors, organizational factors, business environments, and environmental attitudes and awareness. A questionnaire survey on the green practice adoption of manufacturing SMEs located in the Western Province of Sri Lanka was conducted and data from 342 sample firms was analyzed. The logit regression results reveal that external factors such as regulatory pressure, governmental support, relative advantage, compatibility of green practices and internal factors such as organizational support, quality of human resources, awareness, attitudes and costs and benefits have significant and positive influences on green practice adoption by urban manufacturing SMEs. Meanwhile, complexity has a negative influence on adoption of green practices. However, firm size and customer pressures do not have significant influence.
Key words: Green practices, SMEs, Sri Lanka, Manufacturing sector, SDGs, Logit model
Assessing the Output and Productivity Growth of Indian Manufacturing Industries during the Post Reform Period: Evidence from Stochastic Frontier Approach
Anvesak, Vol. 50 (2), pp. 42-56, Received: 3 Feb. 2021; accepted: 13 Apr. 2021
Dinabandhu Andrews College, Kolkata, India
Abstract: Applying the stochastic frontier production function approach, this paper estimates and decomposes the output growth as well as total factor productivity (TFP) of aggregate manufacturing industries across states in India during 1993-2011. The result indicates that change in inputs and TFP play more important roles for output growth while the contribution of capital input is negative. It is remarkable to note that most of the states have achieved negative change in input growth in the years 1998, 2000, and 2001, respectively. However, of all the factors responsible for the output growth, change in input growth contributes the most, followed by technological progress and technical efficiency, respectively. Though technical efficiency is a component of TFP growth, it contributes little to TFP growth and thus the improvement of technical efficiency is the key element for improving the efficiency of Indian manufacturing sector. Technical progress being larger than technical efficiency to the TFP growth in most of the states for the Indian manufacturing sector. The estimated technical efficiency scores across the states have increased over the years, implying that the states gradually move closer to the production frontier over time.
Keywords: Indian manufacturing, Total factor productivity, Technical efficiency, Technological progress, Stochastic frontier
Enabling People and Processes for Rural Transformation: A Knowledge Enabled Institutional Economics Perspective in Gujarat
Anvesak, Vol. 50 (2), pp. 57-62, Received: 10 Dec. 2020; accepted: 23 Feb. 2021
Sardar Patel Institute of Economic and Social Research, Ahmedabad, India
Abstract: This paper discusses markets in the farm to food process sector. In addition, access to credit, technical knowledge and education backed by access to institutions play a role in improving farm income and create a Vent for Agricultural Surplus. These enabling processes are then described in detail based on author’s field visits in Gujarat.
Key Words: Rural transformation, Wholesale mandi (market), Farm efficiencies, Institutions, Vent for surplus.
Multidimensional Poverty and Deprivation in Rural Area: Insights from Two Villages of Gurugram District in India
Anvesak, Vol. 50 (2), pp. 63-79, Received: 28 Dec. 2020; accepted: 30 June 2021
Anjali and Kiran Lamba
B.P.S. Mahila Vishwavidyalaya, Haryana, India
Abstract: Despite the relatively high growth of the overall world economy in the recent decades, the incidence of poverty and deprivation in various pockets of the globe is still considered a critical matter that needs to be addressed; otherwise balanced international development will remain a far-reaching goal. Poverty is one of the root causes of underdevelopment of a region. It is imperative to look at this problem through a macro as well as a micro glance. Our focus in this study is on micro issues. The main objective of this paper is to measure multidimensional poverty and deprivation in two villages - Alipur and Kasan - of Gurugram district of Haryana state in India. The study collected data from 235 households and the selection of these sample households was done based on the stratified random sampling method, covering the population groups such as ‘general category’, ‘scheduled caste’ and ‘other backward class’. The study used an updated version of the Rangarajan committee poverty line for measuring income poverty and the Alkire and Foster (2009) methodology for multidimensional poverty analysis. The results show that multidimensional poverty is higher than income poverty; and education and health deprivations are the most significant reasons for multidimensional poverty.Key words: Income poverty, Deprivation and multidimensional poverty, Rural Haryana, India
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