Literature DB >> 19232457

Poverty and biodiversity in rural areas based on two investigations in Pujiang County, China.

Bin Fang1.   

Abstract

This study presents an integrated framework for the analysis of options of agricultural development and natural resource management at the ecosystem level. Pujiang County in Zhejiang Province, China, is used as a case-study area. The IMGLP model is applied to maximize regional agricultural economic surplus and labor market conditions in Pujiang. The consequences of four poverty reduction strategies (intensification of production, diversification toward livestock production, land expansion, and exit from agriculture) are determined for a set of regional poverty and biodiversity indicators. Diversification seems to be the most promising poverty reduction strategy, but requires an efficient use of animal manure in cropping systems to avoid environmental problems. Improved nutrient management in cropping systems is effective in reducing the regional nitrogen surplus, but less effective in increasing per capita income. The exit strategy is beneficial for reducing poverty and achieving biodiversity, but may have important social consequences that are not addressed in this study. Further reduction of rural poverty is hampered by labor constraints during the harvesting period for high-value crops such as vegetables and fruits. These constraints can be overcome by intensive research and development in the field of agricultural mechanization.

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Year:  2009        PMID: 19232457     DOI: 10.1016/j.jenvman.2009.01.002

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

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Authors:  Edwin Sabuhoro; Brett A Wright; Robert B Powell; Jeffrey C Hallo; Patricia A Layton; Ian E Munanura
Journal:  Environ Manage       Date:  2020-01-14       Impact factor: 3.266

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Authors:  Xiao-Hong Li; Chun-Ji Gao; Wan-Ming Da; Yong-Bin Cao; Zhi-Hong Wang; Li-Xin Xu; Ya-Mei Wu; Bei Liu; Zhou-Yang Liu; Bei Yan; Song-Wei Li; Xue-Liang Yang; Xiao-Xiong Wu; Zhong-Chao Han
Journal:  PLoS One       Date:  2014-03-03       Impact factor: 3.240

  2 in total

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