Rural Non-farm Sector: Revisiting the Census Towns

IF 1.3 Q4 ENVIRONMENTAL STUDIES
A. Mitra, S. Tripathi
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引用次数: 4

Abstract

The last decade (2001–2011) has witnessed a surge in the number of census towns (CTs) in India, which account for 30% of the country’s urban growth. Though several studies have tried to understand the spatial patterns and factors determining the emergence of these CTs, the all India level has been neglected. Due to an increase in non-farm activities, villages have been transformed into CTs. By considering 2,328 CTs at the all India level, this article investigates the relevant economic determinants of such transformation. To group similar CTs we use cluster analysis by considering several factors such as the size of the population of CTs, rural specific changes, climatic conditions, the growth dynamics of large cities which may spill over to rural hinterland, economic potential, the availability of infrastructures and job opportunities. The analysis suggests that the availability of infrastructure and the growth dynamics of the large cities are important for the emergence of these CTs, whereas rural poverty and unemployment rates do not seem to matter significantly. Finally, we suggest that for higher economic development, the rural to urban transformation is essential. For this purpose, the new CTs can offer an opportunity for increasing non-farm activities and the overall prospects for India. Hence, the policy directives will have to address the requirements of the CTs to emerge as centres of growth.
农村非农产业:对人口普查城镇的再认识
过去十年(2001-2011)见证了印度人口普查城镇(CTs)数量的激增,占该国城市增长的30%。虽然有几项研究试图了解这些ct出现的空间模式和因素,但全印度的水平一直被忽视。由于非农业活动的增加,村庄已经变成了社区。通过考虑全印度的2328个ct,本文研究了这种转变的相关经济决定因素。为了对类似的ct进行分组,我们使用了聚类分析,考虑了几个因素,如ct的人口规模、农村的具体变化、气候条件、大城市的增长动态(可能溢出到农村腹地)、经济潜力、基础设施的可用性和就业机会。分析表明,基础设施的可用性和大城市的增长动力对这些技术转移中心的出现很重要,而农村贫困和失业率似乎并不重要。最后,我们提出要实现经济的高速发展,农村向城市的转型是必不可少的。为此目的,新的CTs可以为增加非农业活动和印度的整体前景提供机会。因此,政策指令必须解决新兴市场成为增长中心的要求。
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来源期刊
Environment and Urbanization ASIA
Environment and Urbanization ASIA ENVIRONMENTAL STUDIES-
CiteScore
2.70
自引率
0.00%
发文量
24
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