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[1]DENG Huili,MIAO Hong,KONG Yunxiao,et al.Research on Carbon Footprint of Ecomigration Family and Its Influence Factors in NingXia[J].Research of Soil and Water Conservation,2016,23(04):154-160.

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Research on Carbon Footprint of Ecomigration Family and Its Influence Factors in NingXia

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 23 Number of periods: 2016 04 Page number: 154-160 Column: Public date: 2016-04-28

Title:: Research on Carbon Footprint of Ecomigration Family and Its Influence Factors in NingXia

Author(s):: DENG Huili¹, MIAO Hong¹, KONG Yunxiao¹, MA Jintao¹, XUE Chenhao²; 1. College of Resources and Environment, Ningxia University, Yinchuan 750021, China;
2. College of Management, Northwest University For Nationalities, Lanzhou 730000, China

Keywords:: carbon footprint; ecological migration; setting mode; household consumption; low-carbon lifestyle

CLC:: X24

DOI:: -

Abstract:: Based on household survey data, we calculated the carbon footprint of ecological migration family under different resettlement in Ningxia from energy consumption, housing construction, household detergents, transportation, consumption of poultry meat diet, dress and other aspects using the method of life cycle assessment. We analyzed the characteristics and influence factors of carbon footprint of immigrant family by using variance analysis and correlation analysis. Results show that:(1) the migration families’ total carbon footprint is 153 132.47 kg CO₂ after migration and now it is 190 657.46 kg CO₂, different resettlement modes after the relocation of the total carbon footprint are much less than before immigration; (2) per capita carbon footprint is 1.46×10³ kg CO₂ of moderately centralized resettlement which is the largest; (3) the main source of the carbon footprint of immigrant families results from energy consumption followed by housing construction and transportation. Family detergents, meat food consumption, and clothing account for the less proportion; (4) the important influence factors are population, income level, consumption level and the degree of nonagriculture.

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