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Article
Publication date: 29 May 2023

Souryabrata Mohapatra, Amarendra Das, Dukhabandhu Sahoo, Basil Sharp and Auro Kumar Sahoo

The study unravels the effects of climate-induced variations in staple crop yields on various migratory inflows in India while adjusting for seasonal weather and sociodemographic…

203

Abstract

Purpose

The study unravels the effects of climate-induced variations in staple crop yields on various migratory inflows in India while adjusting for seasonal weather and sociodemographic factors.

Design/methodology/approach

The instrumental variable approach is used to assess the potential effects of climate and nonclimate parameters on various migration types, exploiting panel data at the district level from the 2001 and 2011 Census years, with agriculture acting as the mediator.

Findings

As weather-driven variations in rice and wheat yield increase by 10%, the share of migration within and between districts to population decreases by 0.017 and 0.002, respectively. However, rice and wheat yields increase by 494.60 and 524.40%, respectively, with a marginal increase in the share of migration within states to population. Also, the elasticities of disadvantaged groups, literate locals and agricultural workers vary for different relocations.

Originality/value

The current study affirms climate migration through the agricultural channel at a finer spatial scale, asserting the sensitivity aspect of disparate movements to periodic weather and heterogeneous clusters. This is critical for effectively implementing targeted public policies in the face of increasing climate risks.

Peer review

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-10-2022-0710

Details

International Journal of Social Economics, vol. 50 no. 11
Type: Research Article
ISSN: 0306-8293

Keywords

Available. Open Access. Open Access
Article
Publication date: 28 May 2024

Giulia Gastaldello, Guenter Schamel, Nadia Streletskaya and Luca Rossetto

Virtual wine experiences (VWEs) replaced in-person wine experiences during the Covid-19 pandemic and continue to be offered by some actors. This study aims to investigate the…

523

Abstract

Purpose

Virtual wine experiences (VWEs) replaced in-person wine experiences during the Covid-19 pandemic and continue to be offered by some actors. This study aims to investigate the factors driving interest in VWEs and identify relevant traits of potential consumers to help assess VWEs long-term potential.

Design/methodology/approach

A representative sample of 399 Oregon and California wine consumers answered a structured online survey. The authors combine ordered logistic regression and qualitative techniques to analyze the data.

Findings

VWEs may effectively attract potential wine consumers and tourists. High interest in VWEs is associated with strong wine involvement and intentions to visit wine regions. Digitization, aversion to travel-related risk and convenience are other relevant drivers of VWE interest. The segmentation analysis revealed that consumers with a potentially higher interest in VWE have distinct traits.

Practical implications

Wineries and wine tourism destinations could leverage VWEs to attract wine tourists and consumers. The authors discuss specific characteristics of high-interest consumers.

Originality/value

Participants in VWEs interact with hosts and explore products in real time. This engagement has long-term marketing potential for attracting them as customers or visitors. The study provides strategic information for practitioners and academics on VWE interest drivers and potential demand, which is currently missing from the literature.

Details

International Journal of Contemporary Hospitality Management, vol. 36 no. 8
Type: Research Article
ISSN: 0959-6119

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Article
Publication date: 20 February 2007

Amarendra Nath Sinha, Nibedita Das and Gadadhar Sahoo

A new algorithm based on ant colony optimization (ACO) for data clustering has been developed.

1292

Abstract

Purpose

A new algorithm based on ant colony optimization (ACO) for data clustering has been developed.

Design/methodology/approach

ACO technique along with simulated annealing, tournament selection (GA), Tabu search and density distribution are used to solve unsupervised clustering problem for making similar groups from arbitrarily entered large data.

Findings

Distinctive clusters of similar data are formed metaheuritically from arbitrarily entered mixed data based on similar attributes of data.

Research limitations/implications

The authors have run a computer program for a number of cases related to data clustering. So far, there are no problems in convergence of results for formation of distinctive similar groups with given data set quickly and accurately.

Practical implications

ACO‐based method developed here can be applied to practical industrial problems for mobile robotic navigation other than data clustering and travelling salesman.

Originality/value

This paper will enable the solving of problems related to mixed data, which requires the formation of a number of groups of similar data without having a prior knowledge of divisions, which lead to unbiased clustering. The computer code developed in this work is based on a metaheuristic algorithm and presented here to solve a number of cases.

Details

Kybernetes, vol. 36 no. 2
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 30 October 2018

Sarbjeet Kaushal and Satnam Singh

The purpose of this paper is to study the effect of slurry erosion at different parameters on plasma sprayed Cr3C2 coated 13Cr4Ni turbine steel and compare the results of coated…

185

Abstract

Purpose

The purpose of this paper is to study the effect of slurry erosion at different parameters on plasma sprayed Cr3C2 coated 13Cr4Ni turbine steel and compare the results of coated steel with bare steel.

Design/methodology/approach

Cr3C2 + 25NiCr coating was successfully developed on 13Cr4Ni turbine steel using plasma spraying method. The slurry erosion test was performed using a simulated erosion testing rig. The commercially available silica sand was used as abrasive media and the effect of concentration (ppm), average particle sizes and rotational speed on the slurry erosion behavior were studied at 300 and 900 impact angles. Developed coatings were characterized by scanning electron microscope, XRD, EDS and micro hardness tests and study of erosion wear.

Findings

Results revealed that three times higher hardness of coatings was obtained because of the hard phases of chromium carbide and nickel carbide, which restricted the abrasive wear in comparison to uncoated steel. Lower abrasive wear was observed at 900 impact angle coupled with lower levels of slurry concentration and rotational speed. Further, it was observed that initially cumulative mass loss rate was high which gets stabilized after the surface become smooth and on exposing for higher periods. Overall results indicated that erosive wear was reduced significantly by the application of developed coating.

Originality/value

The developed plasma sprayed coating is very useful to enhance the service life of turbine steel by lowering the effect of slurry erosion.

Details

Industrial Lubrication and Tribology, vol. 71 no. 1
Type: Research Article
ISSN: 0036-8792

Keywords

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