Application of an interdisciplinary research framework for discerning land use transitions in the peri-urban areas of India

被引:3
作者
Jain, Manisha [1 ]
Sikder, Sujit [2 ]
Korzhenevych, Artem [3 ,4 ]
机构
[1] Tech Univ Dresden, Fac Environm Sci, Helmholtzstr 10, D-01062 Dresden, Germany
[2] Leibniz Inst Ecol Urban & Reg Dev, Spatial Informat & Modelling, Weberpl 1, D-01217 Dresden, Germany
[3] Leibniz Inst Ecol Urban & Reg Dev, Weberpl 1, D-01217 Dresden, Germany
[4] Tech Univ Dresden, Fac Business & Econ, Helmholtzstr 10, D-01062 Dresden, Germany
关键词
Land use transition; Land change science; Neoliberalisation of nature; Mixed methods; Peri-urban; India; Open data; COMMON PROPERTY RESOURCES; NEOLIBERALISING NATURE; POLITICAL ECOLOGY; FOREST TRANSITION; SOUTHERN YUCATAN; SYSTEM SCIENCE; COVER; GROWTH; CHALLENGES; GEOGRAPHY;
D O I
10.1016/j.apgeog.2023.102944
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
This paper proposes and applies a novel interdisciplinary framework to study peri-urban land use dynamics in India, which is theoretically embedded in the concepts of land use transition, land change science and neoliberlisation of nature. The framework is operationalised by a mixed methods approach cutting across scale and time to provide a comprehensive understanding of land use transitions. The paper proves the applicability of land use transition theory in India by establishing that the core state Delhi is in the "urbanised/industrialised" stage of land use transition, whereas the peripheral states are in a transition from "frontier" to "agricultural" stage of land use transition. The paper also provides evidence for different political economy-derived logics of nature's neoliberalisation. Field visits as well as expert and household interviews uncover a nexus between the state, civil society and economy in exploitation and degradation of natural resources for their vested interests. The use of local and global open access data in the framework makes it transferable to similar regions of the Global South facing data constrains.
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页数:12
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