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1 – 5 of 5Intekhab Alam, Ahteshamul Haq, Lalit Kumar Sharma, Sumit Sharma and Ritika
In this paper, the authors design accelerated life test and provide its application in the field of accelerated life test. The authors use maximum likelihood estimation method as…
Abstract
Purpose
In this paper, the authors design accelerated life test and provide its application in the field of accelerated life test. The authors use maximum likelihood estimation method as a parameter estimation method.
Design/methodology/approach
In this paper we design accelerated life test and provide its application in the field of accelerated life test. The authors use maximum likelihood estimation method as a parameter estimation method.
Findings
In this study, the authors design accelerated life test under Type-I censoring when the lifetime of test items follows PID and also provides its application in the field of warranty policy. The following conclusion is made on the basis of this study. (1) An inverse relationship is shown between the shape parameter with the expected total cost and expected cycle time, while the shape parameter directly relates to the expected cost rate (see Table 5). (2) A direct relationship is shown between the scale parameter with the expected total cost and expected time cycle, while the inverse relationship is shown with the expected cost rate (see Table 5). (3) An inverse relationship is shown between the replacement age and the expected cost rate, while there are direct relationships between expected total cost and expected time cycle (see Table 5).
Originality/value
This paper is neither published or neither accepted anywhere.
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Ashpreet Sharma, Lalit Mohan Kathuria and Tanveen Kaur
Given the dominant share of India in global production of fruits and vegetables, this paper intends to analyze the export competitiveness of India and other major food exporters…
Abstract
Purpose
Given the dominant share of India in global production of fruits and vegetables, this paper intends to analyze the export competitiveness of India and other major food exporters in the world trade. The purpose of this study is to examine export structure, substitutability and complementarity of selected fresh and processed fruits and vegetables of top ten food exporters for the period 2010-20.
Design/methodology/approach
Balassa’s (1965) revealed comparative advantage (RCA) index was used to measure RCA indices of selected fruits and vegetables under study. Also, revealed symmetric comparative advantage (RSCA) and normalized RCA (NRCA) indices have been calculated. Further, Spearman rank correlation coefficients were computed to analyze changes over the study period for India and other competing countries. The export data have been sourced from UN Comtrade, an electronic database of United Nations, as well as World Trade Statistical Review, a database of World Trade Organization. The analysis was undertaken at Harmonized System (HS) four-digit classification for the period 2010-20.
Findings
The results disclosed an improvement in India’s comparative advantage over the period of 2010-20 in HS 07 product category, whereas the advantage ceded to other competitive nations in HS 08 product category. Further, Spearman rank correlation coefficients revealed that India faces competition from countries like China, Indonesia, Brazil, Thailand, Argentina and European Union for HS 07 product category, while countries like Mexico, Indonesia, Brazil and Thailandare the major competitors of India in HS 08 product category.
Originality/value
The paper expands the existing agricultural trade literature in three ways. First, it is one of the very few studies that have analyzed RCA for Indian fresh and processed fruits and vegetables using three different types of indices, namely, Balassa’s RCA, RSCA and NRCA. Second, the authors provide a number of comparisons related to RCA for Indian fruits and vegetables with other top food exporters in the world for a period of 10 years (2010-20). Third, the authors contribute to agricultural trade literature by assessing the substitutability or complementarity of India in the export of fruits and vegetables with other competing nations by using Spearman rank correlation coefficients.
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Vandana Goswami and Lalit Goswami
The purpose of this paper is to analyse the relationship between foreign direct investment (FDI) inflows and economic growth with a special focus on the institutional environment…
Abstract
Purpose
The purpose of this paper is to analyse the relationship between foreign direct investment (FDI) inflows and economic growth with a special focus on the institutional environment at the state level. FDI-led economic growth and economic growth-led FDI have two dominant theoretical foundations, but empirical research supports contradictory findings. These perspectives largely ignore the institutional environment, assuming institutions to be background information.
Design/methodology/approach
To examine the causal relationship between FDI, the Granger causality method has been used. The impact of FDI inflows and other institutional factors on economic growth has been examined using the panel data regression method. The principal component analysis (PCA) method has also been used to develop indexes for some variables.
Findings
Results indicate a two-way Granger causality between FDI inflows and economic growth at the state level. Infrastructures, education expenses, labour availability and gross fixed-capital formation (GFCF) are positive and significant determinants, whilst corruption and FDI inflows are leaving negative impact on state-wise economic growth.
Originality/value
This study contributes to the body of the literature in four different ways: first, it empirically examines the trends and patterns of subnational FDI inflow and economic growth disparity in India; second, it examines the causality between FDI and economic growth. Third, with the institution-based paradigm in international business, it investigates how institutional variables affect the expansion of the economy. Fourth, it extends prior research by examining the link at the state level using a large panel data set made up of 29 states and 7 union territories (UTs) over the years 2000–2019.
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Sanjoy Kumar Paul, Md. Abdul Moktadir and Kamrul Ahsan
The impacts of the novel coronavirus (COVID-19) outbreak continue to devastate supply chain operations. To attain a competitive advantage in the post-COVID-19 era, decision-makers…
Abstract
Purpose
The impacts of the novel coronavirus (COVID-19) outbreak continue to devastate supply chain operations. To attain a competitive advantage in the post-COVID-19 era, decision-makers should explore key supply chain strategies to move forward and ready their policies to be implemented when the crisis sufficiently subsides. This is a significant and practical decision-making issue for any supply chain; hence, the purpose of this study is to explore and analyse key supply chain strategies to ensure robustness and resilience in the post-COVID-19 era.
Design/methodology/approach
This study conducted an expert survey targeting practitioners and academics to explore key supply chain strategies as means of moving forward in the post-COVID-19 era. Further, the key strategies were quantitatively analysed by applying the best-worst method (BWM) to determine their priority importance in the context of the manufacturing sector.
Findings
The results revealed that supply chain resilience and sustainability practices could play a dominant role in this period. The findings of the study can assist supply chain decision-makers in their formulations of key strategies.
Originality/value
This is the first study to investigate key supply chain strategies for the post-COVID-19 era. This study will help practitioners paying attention to resilience and sustainability practices for managing the impacts of future large-scale disruptions.
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Shagun Agarwal, Tribhuvan Pratap Singh and Deepak Bajaj
Housing policies in India (last modified in 2017) define “affordable housing” on three main parameters – income of the target group, dwelling unit size and house price to income…
Abstract
Purpose
Housing policies in India (last modified in 2017) define “affordable housing” on three main parameters – income of the target group, dwelling unit size and house price to income ratio. The Covid-19 pandemic has questioned the robustness of the defining parameters of affordable housing. This paper aims to study the impact of Covid-19 pandemic on housing affordability and adequacy for the urban poor and highlights how one pandemic has directly challenged the practicality of the affordable housing criteria in urban India.
Design/methodology/approach
The study is based on a pilot test conducted through interviews with the consumer group. Furthermore, the affordable housing policies of urban India were studied in conjunction with the pandemic guidelines laid down by the World Health Organization. The consumer responses were analyzed in relation to the policies and guidelines to arrive at the inferences. The secondary case examples of the Dharavi slums in Mumbai and the Savda Ghevra slum resettlement colony in Delhi, along with the findings of the primary survey in the economically weaker section category, are used to formulate the conclusions.
Findings
The pilot test conducted for the target consumer group clearly indicates that (i) the pandemic has severely affected the housing purchase capacity of the target consumer, thereby questioning the “affordability” of housing; (ii) proposed housing solutions are inadequate to enable livability, thereby questioning the “adequacy” of housing; and (iii) proposed housing solutions are inept to accommodate pandemic protocols. The Covid-19 pandemic and the conditions it imposed on the built environment clearly highlight the inadequacy of affordable housing parameters being followed in urban India.
Research limitations/implications
Further research may be conducted on global best practices in housing, which may advise the housing policies in India.
Practical implications
The study suggests key areas that need intervention and modification to make the housing policies more robust and effective.
Social implications
The study explores the social sustainability aspects of housing, which are often considered secondary in policies.
Originality/value
Because housing has a direct bearing on the physical, social and mental well-being of society, it is imperative to find housing solutions that are safe and resilient for a sustainable future. This paper is an original attempt by the author to question and highlight how the current affordable housing solutions adopted in urban India will continue to fail under any external adverse conditions unless modifications are considered in the existing housing parameters.
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