Food and beverages inflation;
Clustering analysis;
Club convergence;
Rural and urban India;
E31;
C21;
O18;
C23;
Q18;
PRICES;
D O I:
10.1007/s40847-024-00388-8
中图分类号:
F0 [经济学];
F1 [世界各国经济概况、经济史、经济地理];
C [社会科学总论];
学科分类号:
0201 ;
020105 ;
03 ;
0303 ;
摘要:
This paper presents empirical evidence on the dynamics of food and beverage inflation in rural and urban India. This study aims to examine the evidence of total convergence of food and beverage inflation across different states/UTs. Exclusively, it also investigates the possibility of convergence between the rural and urban segments of each state/UT. To this end, the paper uses both annual and monthly data from January 2011 to February 2020. Annual inflation is used to rank the states/UTs based on average annual food and beverage inflation. The three best and worst performing states/UTs are reported for each year. Next, the convergence club methodology is employed on monthly data. The study finds strong evidence of multiple convergence clubs across rural and urban areas. It is also found that in around 50% of states/UTs, there is convergence across rural and urban areas. Specifically, we found three food and beverage inflation clubs in the rural segment and four clubs in the urban segment. The rural category has higher average food and beverages inflation than the urban one and the average difference between the high(low) clubs of rural and urban is 0.5 (0.15) %. The policy implications of the study suggest that the government needs to reduce the consumption and income gap between rural and urban areas as rural areas spend a large portion of their income on food components. There is also a need to integrate the rural and urban markets.
机构:
Univ Ramon Llull, IQS Sch Management, Dept Quantitat Methods, Via Augusta 390, Barcelona 08017, SpainUniv Ramon Llull, IQS Sch Management, Dept Quantitat Methods, Via Augusta 390, Barcelona 08017, Spain
Valerio Mendoza, Octasiano Miguel
Tamas Borsi, Mihaly
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机构:
Univ Ramon Llull, IQS Sch Management, Dept Econ & Finance, Via Augusta 390, Barcelona 08017, SpainUniv Ramon Llull, IQS Sch Management, Dept Quantitat Methods, Via Augusta 390, Barcelona 08017, Spain
Tamas Borsi, Mihaly
Comim, Flavio
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机构:
Univ Ramon Llull, IQS Sch Management, Dept Econ & Finance, Via Augusta 390, Barcelona 08017, Spain
Univ Cambridge, Dept Land Econ, 19 Silver St, Cambridge CB3 9EP, EnglandUniv Ramon Llull, IQS Sch Management, Dept Quantitat Methods, Via Augusta 390, Barcelona 08017, Spain