Spatially analyzing food consumption inequalities using GIS with disaggregated data from Punjab, Pakistan.

Khushi, Sana; Ahmad, Sajid Rashid; Ashraf, Ather; Imran, Muhammad

doi:10.1007/s12571-020-01057-4

Cited by 14 publications

(19 citation statements)

References 27 publications

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“…The estimated spatial correlation is an assessment of the dependence of the indicator values attributed to certain territory on the values of the neighbors. This approach had been applied for the first time in the middle of the XX century in the works of Moran (1948) and Geary (1954), still it is currently used to study dependences in production (Dai et al 2017;Pietrzykowski 2019), distribution (Hylton and Ross 2017; Tian and Zhang 2019), and consumption (Khushi et al 2020). Global Moran's index gives us a summative evaluation of territorial connectivity, Equation (1):…”

Section: Methodsmentioning

confidence: 99%

“…The examining of spatial relationships raises the importance of modifiable areal unit problems (MAUP) due to the necessity of choosing the initial territorial units for analysis and hierarchical nature of economic space. Related studies being conducted at the macro level (Ayouba and Gallo 2019;Laskowska and Dańska-Borsiak 2016), at the micro level (Khushi et al 2020) and at both ones (Mendes Resende et al 2018;He et al 2017). The scientists point out different magnitudes for coefficients at the regional иmunicipal levels that according their opinion represents the evidence of some form of spatial interaction within the regions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The differences in production capabilities are manifested in both positive and negative interrelationship of territories (Capello 2009). These dependencies are under active consideration within methods of spatial statistics, which make it possible to evaluate the spatial autocorrelation of indicators characterizing production (Dai et al 2017), distribution (Hylton and Ross 2017;Tian and Zhang 2019), and consumption (Khushi et al 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In its turn, spatial econometrics focuses on the mutual location of the territorial units, their geographic proximity, and distance between them. The spatial autocorrelation of production (Dai et al 2017;Pietrzykowski 2019), distribution (Hylton and Ross 2017; Tian and Zhang 2019), and consumption (Khushi et al 2020) are basic points of treatment. In particular, these studies show that indicators characterizing production in one territory depend on the development of production in neighboring territories (Villaverde and Maza 2008;Fabregat and Badia-Miró 2014;Aguilar-Retureta 2016;Díez-Minguela et al 2018;Lolayekar and Mukhopadhyay 2019;Gunawan et al 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

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Spatial Patterns of Production-Distribution-Consumption Cycle: The Specifics of Developing Russia

2020

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The existing body of academic literature reveals that production, distribution, and consumption might be both consistently connected and geographically scattered. This requires assessing the spatial order of production–distribution–consumption cycle, within which exploring of spatial relationship would be based on mutual dependence on each other’s of production, distribution and consumption. Hierarchical and spatial nesting of production, distribution, and consumption data allows us to apply hierarchical spatial autoregressive models (HSAR). The study was conducted on data from 2132 municipalities within 84 regions of the Russian Federation in 2018. The created models enabled distinguishing intraregional and interregional effects and highlighted the positive effect of spatial interactions in production volume. The calculations showed that population income, which determine the demand for goods are positively associated with production volume while relationship between manufacturing and wholesale is negative, resulting in revision of relations between wholesale and manufacturing enterprises and boosting ways of improvement the competitiveness of manufactured goods. The results allow us not only to enhance understanding of the spatial pattern of production–distribution–consumption cycle, but also to reveal new opportunities in the development of supply chain location policy.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Spatial Patterns of Production-Distribution-Consumption Cycle: The Specifics of Developing Russia

2020

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“…On the other hand, there is a hierarchy of areas in which the consumption of food products in municipalities depends on the wholesale shipments delivered to the region they belong to. As for spatial relationships, they are manifested directly in the consumption, production, and distribution process (Fan & Liu, 2020;Hylton & Ross, 2017;Khushi et al, 2020;Ye & Wei, 2005). Scientists note that the high spatial autocorrelation of within-district gaps of food production and consumption observed in the province indicates that inequality is driven by location dynamics (Khushi et al, 2020).…”

Section: Problem Statementmentioning

confidence: 99%