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Book part
Publication date: 10 April 2019

Antonio Cosma, Andreï V. Kostyrka and Gautam Tripathi

We show how to use a smoothed empirical likelihood approach to conduct efficient semiparametric inference in models characterized as conditional moment equalities when data are…

Abstract

We show how to use a smoothed empirical likelihood approach to conduct efficient semiparametric inference in models characterized as conditional moment equalities when data are collected by variable probability sampling. Results from a simulation experiment suggest that the smoothed empirical likelihood based estimator can estimate the model parameters very well in small to moderately sized stratified samples.

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Book part
Publication date: 10 April 2019

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The Econometrics of Complex Survey Data
Type: Book
ISBN: 978-1-78756-726-9

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Book part
Publication date: 24 April 2023

Asli Ogunc and Randall C. Campbell

Advances in Econometrics is a series of research volumes first published in 1982 by JAI Press. The authors present an update to the history of the Advances in Econometrics series…

Abstract

Advances in Econometrics is a series of research volumes first published in 1982 by JAI Press. The authors present an update to the history of the Advances in Econometrics series. The initial history, published in 2012 for the 30th Anniversary Volume, describes key events in the history of the series and provides information about key authors and contributors to Advances in Econometrics. The authors update the original history and discuss significant changes that have occurred since 2012. These changes include the addition of five new Senior Co-Editors, seven new AIE Fellows, an expansion of the AIE conferences throughout the United States and abroad, and the increase in the number of citations for the series from 7,473 in 2012 to over 25,000 by 2022.

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Essays in Honor of Joon Y. Park: Econometric Methodology in Empirical Applications
Type: Book
ISBN: 978-1-83753-212-4

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Book part
Publication date: 10 April 2019

Heng Chen and Q. Rallye Shen

Sampling units for the 2013 Methods-of-Payment survey were selected through an approximate stratified two-stage sampling design. To compensate for nonresponse and noncoverage and…

Abstract

Sampling units for the 2013 Methods-of-Payment survey were selected through an approximate stratified two-stage sampling design. To compensate for nonresponse and noncoverage and ensure consistency with external population counts, the observations are weighted through a raking procedure. We apply bootstrap resampling methods to estimate the variance, allowing for randomness from both the sampling design and raking procedure. We find that the variance is smaller when estimated through the bootstrap resampling method than through the naive linearization method, where the latter does not take into account the correlation between the variables used for weighting and the outcome variable of interest.

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The Econometrics of Complex Survey Data
Type: Book
ISBN: 978-1-78756-726-9

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Article
Publication date: 20 December 2024

Soumya Chicker and Jagadish Prasad Sahu

The study aims to examine the heterogeneous effects of physical infrastructure on farm and non-farm sector output in 16 prominent states of India for the period 2005–2019.

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Abstract

Purpose

The study aims to examine the heterogeneous effects of physical infrastructure on farm and non-farm sector output in 16 prominent states of India for the period 2005–2019.

Design/methodology/approach

We construct a composite physical infrastructure index comprising four indicators namely road density, rail density, tele-density and per capita power availability using the principal component analysis (PCA) method. We estimate the impact of physical infrastructure on aggregate as well as farm and non-farm sector output using the fixed effects regression with Driscoll–Kraay (FE-DK) standard errors to account for cross-sectional dependence in our sample. Furthermore, to mitigate the potential endogeneity concern, we utilise the panel instrumental variable (IV) regression method to estimate the model.

Findings

Our results imply that physical infrastructure plays a significant role in driving economic growth. We find that infrastructure development affects the non-farm sector output positively while the farm sector output remains unaffected.

Research limitations/implications

Due to data limitations, our study is based on 16 prominent states only. It is plausible that the selected infrastructure indicators are not highly relevant for the farm sector. Further research can be done to identify appropriate infrastructure that helps stimulate agriculture sector output.

Originality/value

We examine the varying effects of physical infrastructure on farm and non-farm sector output in the Indian context. To the best of our knowledge, this is the first study that examines the effect of infrastructure development on sectoral output at the sub-national level.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2024-0468

Details

International Journal of Social Economics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0306-8293

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Available. Open Access. Open Access
Article
Publication date: 18 August 2020

Saroni Biswas, Anirban Biswas, Arabinda Das and Saon Banerjee

This study aims to assess the biodiversity of the study area and estimate the carbon stock of two dry deciduous forest ranges of Banka Forest Division, Bihar, India.

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Abstract

Purpose

This study aims to assess the biodiversity of the study area and estimate the carbon stock of two dry deciduous forest ranges of Banka Forest Division, Bihar, India.

Design/methodology/approach

The phytosociological analysis was performed and C stock estimation based on volume determination through nondestructive methods was done.

Findings

Phytosociological analysis found total 18,888 [14,893 < 10 cm (diameter at breast height) dbh] and 2,855 (1,783 < 10 cm dbh) individuals at Banka and Bounsi range with basal area of 181,035.00 cm2 and 32,743.76 cm2, respectively. Importance value index was highest for Shorea robusta in both the ranges. Species diversity index and dominance index, 1.89 and 1.017 at Banka and 1.99 and 5.600 at Bounsi indicated the prevalence of biotic pressure. Decreased dbh and tree height resulted in a lowered growing stock volume as 59,140.40 cm3 ha−1 (Banka) and 71,306.37 cm3 ha−1 (Bounsi). Total C stock at Banka and Bounsi range was 51.8 t ha-1 and 12.56 t ha−1, respectively where the highest C stock is recorded for Shorea robusta in both the ranges (9.8 t ha−1 and 2.54 t ha-1, respectively). A positive correlation between volume, total biomass and basal area of tree species with C stock was observed. R2 value for Banka range was 0.9269 (volume-C stock), 1 (total biomass-C stock) and 0.647 (basal area-C stock). Strong positive correlation was also established at Bounsi range with R2 value of 1. Considering the total forest area enumerated, C sequestration potential was about 194.25 t CO2 (Banka) and 45.9 t CO2 (Bounsi). The valuation of C stock was therefore US$2,525.25 (Banka) and US$596.70 (Bounsi).

Practical implications

The research found the potentiality of the study area to sequester carbon. However, for future, the degraded areas would require intervention of management strategies for restoration of degraded lands and protection of planted trees to increase the carbon sequestration potential of the area.

Originality/value

Present study is the first attempt to assess the phytosociology and estimate the regulatory services of forest with respect to biomass and carbon stock estimation for the Banka forest division of Bihar.

Details

Ecofeminism and Climate Change, vol. 2 no. 1
Type: Research Article
ISSN: 2633-4062

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Article
Publication date: 16 November 2010

Madhu Agrawal, Himanshu Choudhary and Gaurav Tripathi

The purpose of this paper is to explore the key reasons of lack of promotion of Buddhist tourist sites in India and compare the awareness of foreign and Indian tourists towards…

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Abstract

Purpose

The purpose of this paper is to explore the key reasons of lack of promotion of Buddhist tourist sites in India and compare the awareness of foreign and Indian tourists towards India as a destination for Buddhist sites vis‐à‐vis other countries such as Japan, Thailand and China.

Design/methodology/approach

The paper uses an exploratory research design. Data were collected using structured questionnaires administered to Indian and foreign tourists, interviews of officials in the tourism department and through internet sources.

Findings

Findings show a low level of awareness among both Indian and foreign tourists about India as a destination for Buddhist sites as compared to countries such as Japan, Thailand and China. Further, the findings to show a low level of engagement in promoting India as a destination for Buddhist tourism on part of tourist officials.

Practical implications

The paper develops insights into better promotion of Buddhist tourist sites in India.

Originality/value

The paper serves as a stepping stone towards future research on overlooked religious sites and their promotion.

Details

Worldwide Hospitality and Tourism Themes, vol. 2 no. 5
Type: Research Article
ISSN: 1755-4217

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Case study
Publication date: 6 November 2024

Pratik Rajendra Satpute, Gautam Surendra Bapat and Shefali Joshi

After completion of the case study, students will be able to recall the fundamental concepts of group arrival and the check-in process within the hotel industry; explain the…

Abstract

Learning outcomes

After completion of the case study, students will be able to recall the fundamental concepts of group arrival and the check-in process within the hotel industry; explain the various operational procedures used to enhance a smooth group check-in in hotels; use the steps defined in group check-in procedure to improve service efficiency in hotel operations; and examine and evaluate the optimal solution for a smooth group check-in for hotels.

Case overview/synopsis

“The Big Fat Indian Wedding” delves into the challenges faced by Hotel Plaza Blu, a business hotel in Pune, Maharashtra, in 2023. A big wedding group was arriving at the hotel, which comprised almost 350 adults and 120 children. Mr Parag Patil, the front office manager, had done all the preparations for group arrival but just one hour before the arrival Mr Suresh Menon, the group coordinator, came and informed that 150 additional guests would be arriving, as the other hotel, where arrangements for these guests were made, had a major electricity generator breakdown and the hotel was in complete blackout. Patil had the challenge of formulating an action plan to achieve a smooth group check-in with the last-minute changes.

Complexity academic level

Executive development programmes and graduate-level courses in non-profit hospitality and tourism management might benefit from this case study. The operational management courses in the BBA, UG management programmes might all benefit from using this case study.

Supplementary materials

Teaching notes are available for educators only.

Subject code

CSS 9: Operations and Logistics.

Details

Emerald Emerging Markets Case Studies, vol. 14 no. 4
Type: Case Study
ISSN: 2045-0621

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Book part
Publication date: 18 July 2022

Maryam Saeed and Noman Arshed

Background: Insurance was discovered many centuries before Christ (BC). In the second and third millennia BC, Chinese and Babylonian traders traded risks. Insurance is now the…

Abstract

Background: Insurance was discovered many centuries before Christ (BC). In the second and third millennia BC, Chinese and Babylonian traders traded risks. Insurance is now the backbone of the economy, but penetration is low in developing countries. Big data, internet of things (IoT), and InsurTech have recently ushered in the fourth industrial revolution in insurance.

Objective: This study examines the Indian challenges and solutions of using Big Data Analytics (BDA).

methodology: A SLR was used to extract themes/variables related to challenges and solutions in adopting BDA in the Indian insurance sector. Google Scholar was searched for relevant literature using keywords. Inclusion and exclusion criteria were used to filter the studies.

Findings: This study identified several barriers to BDA adoption in the Indian insurance industry. Policymakers could use the suggestions to improve insurance service delivery.

Practical implication: Insurers can understand the challenges, and accordingly, they can adopt the proposed solution in this study to enhance the insurance penetration in India.

Details

Big Data Analytics in the Insurance Market
Type: Book
ISBN: 978-1-80262-638-4

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Article
Publication date: 30 April 2020

Rajul Garg, Harishchandra Thakur and Brajesh Tripathi

The study aims to highlight the behaviour of one-dimensional and two-dimensional fin models under the natural room conditions, considering the different values of dimensionless…

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Abstract

Purpose

The study aims to highlight the behaviour of one-dimensional and two-dimensional fin models under the natural room conditions, considering the different values of dimensionless Biot number (Bi). The effect of convection and radiation on the heat transfer process has also been demonstrated using the meshless local Petrov–Galerkin (MLPG) approach.

Design/methodology/approach

It is true that MLPG method is time-consuming and expensive in terms of man-hours, as it is in the developing stage, but with the advent of computationally fast new-generation computers, there is a big possibility of the development of MLPG software, which will not only reduce the computational time and cost but also enhance the accuracy and precision in the results. Bi values of 0.01 and 0.10 have been taken for the experimental investigation of one-dimensional and two-dimensional rectangular fin models. The numerical simulation results obtained by the analytical method, benchmark numerical method and the MLPG method for both the models have been compared with that of the experimental investigation results for validation and found to be in good agreement. Performance of the fin has also been demonstrated.

Findings

The experimental and numerical investigations have been conducted for one-dimensional and two-dimensional linear and nonlinear fin models of rectangular shape. MLPG is used as a potential numerical method. Effect of radiation is also, implemented successfully. Results are found to be in good agreement with analytical solution, when one-dimensional steady problem is solved; however, two-dimensional results obtained by the MLPG method are compared with that of the finite element method and found that the proposed method is as accurate as the established method. It is also found that for higher Bi, the one-dimensional model is not appropriate, as it does not demonstrate the appreciated error; hence, a two-dimensional model is required to predict the performance of a fin. Radiative fin illustrates more heat transfer than the pure convective fin. The performance parameters show that as the Bi increases, the performance of fin decreases because of high thermal resistance.

Research limitations/implications

Though, best of the efforts have been put to showcase the behaviour of one-dimensional and two-dimensional fins under nonlinear conditions, at different Bi values, yet lot more is to be demonstrated. Nonlinearity, in the present paper, is exhibited by using the thermal and material properties as the function of temperature, but can be further demonstrated with their dependency on the area. Additionally, this paper can be made more elaborative by extending the research for transient problems, with different fin profiles. Natural convection model is adopted in the present study but it can also be studied by using forced convection model.

Practical implications

Fins are the most commonly used medium to enhance heat transfer from a hot primary surface. Heat transfer in its natural condition is nonlinear and hence been demonstrated. The outcome is practically viable, as it is applicable at large to the broad areas like automobile, aerospace and electronic and electrical devices.

Originality/value

As per the literature survey, lot of work has been done on fins using different numerical methods; but to the best of authors’ knowledge, this study is first in the area of nonlinear heat transfer of fins using dimensionless Bi by the truly meshfree MLPG method.

Details

Engineering Computations, vol. 37 no. 8
Type: Research Article
ISSN: 0264-4401

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