Green Rural Development by Exploring its Linkages with Traditional Knowledge and Habitat
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Abstract
The increasing extraction of environmental resources has resulted in disruptive impact on nature. The expansion of human activities in to natural environment such as industrialization, recreation, agriculture and urbanization leads to increase in disappearance, isolation or fragmentation of Traditional Habitats. At present, every nation across the world is worried and initiating their efforts towards preserving natural environment and Traditional Knowledge and Habitat. A dynamic and healthy agriculture practice is valuable foundation of rural development in any region. Every rural region is affected with various social, economic and environmental vulnerabilities. Therefore, it is important to mitigate the impact of such vulnerabilities by implementing Social, Economic and Environmental Vulnerabilities in the rural region by emphasizing the role of Traditional Knowledge and Habitat centric practices. With reference to this context, present study has explored Social, Economic and Environmental Vulnerabilities prevalent in Mathura Rural Region. An attempt was also made to identify the linkages between Green Rural Development and Traditional Knowledge and Habitat. This study also explores the role of government, industry and social institutions in the achievement of Green Rural Development goal. In this study, researcher has recommended a system dynamic model comprising Social, Economic and Environmental Vulnerabilities and their proposed Development Initiatives to attain the goal of Green Rural Development in Mathura Rural Region. Collected primary and secondary data has been analyzed with the help of various analytical techniques such as, exploratory factor analysis, correlation, structural equation modeling and system dynamics. Different recommendations are also highlighted in this present study. Additionally, scope for the future research is discussed with the help of developed system dynamics simulation using primary data.
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