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Sökning: WFRF:(Zheng Xinye)

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1.
  • Chen, Zhan Ming, et al. (författare)
  • Consumption-based greenhouse gas emissions accounting with capital stock change highlights dynamics of fast-developing countries
  • 2018
  • Ingår i: Nature Communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 9:1
  • Tidskriftsartikel (refereegranskat)abstract
    • Traditional consumption-based greenhouse gas emissions accounting attributed the gap between consumption-based and production-based emissions to international trade. Yet few attempts have analyzed the temporal deviation between current emissions and future consumption, which can be explained through changes in capital stock. Here we develop a dynamic model to incorporate capital stock change in consumption-based accounting. The new model is applied using global data for 1995–2009. Our results show that global emissions embodied in consumption determined by the new model are smaller than those obtained from the traditional model. The emissions embodied in global capital stock increased steadily during the period. However, capital plays very different roles in shaping consumption-based emissions for economies with different development characteristics. As a result, the dynamic model yields similar consumption-based emissions estimation for many developed countries comparing with the traditional model, but it highlights the dynamics of fast-developing countries.
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2.
  • Wu, Shimei, et al. (författare)
  • Quantifying Energy Consumption in Household Surveys : An Alternative Device-based Accounting Approach
  • 2020
  • Ingår i: Field Methods. - : SAGE Publications. - 1525-822X .- 1552-3969. ; 32:2, s. 213-232
  • Tidskriftsartikel (refereegranskat)abstract
    • The exercise of quantifying the energy consumption data assembled through household surveys, either by the recall-based approach or the meter-based approach, remains a challenging task, especially in rural areas of developing countries. In this article, we propose a device-based bottom-up accounting method for estimating household energy consumption. This method provides microlevel disaggregated estimates at the intensive margin and documents other difficult-to-measure energy consumption such as biomass at the extensive margin. Even though measurement errors of the household survey might still exist, the structured questionnaire of daily routine behavior questions should greatly alleviate the problem. The new method supplements the existing household energy statistical system, improves its flexibility, and is particularly applicable in developing countries and/or rural areas. We apply the method to a Chinese rural household survey and discuss its differences and similarities with the conventional methods.
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