Hao Li

With the characteristics of low cost and open call, crowdsourcing has been widely adopted in many fields, particularly to support the use of surveys, data processing, and the monitoring of public health. The objective of the current study is to analyze the applications, hotspots, and emerging trends of crowdsourcing in the field of public health. Using CiteSpace for the visualization of scientific maps, this study explores the analysis of time-scope, countries and institutions, authors, published journals, keywords, co-references, and citation clusters. The results show that the United States is the country with the most publications regarding crowdsourcing applications for public health. Howe and Brabham are the two leading authors in this field. Further, most of the articles published in this field are found in medical and comprehensive journals. Crowdsourcing in public health is increasing and diversifying. The results of this study will enable and support the analysis of the specific role of crowdsourcing in the public health ecosystem.

This paper decomposes economic benefits (value‐added) and environmental costs (CO₂) of exports according to their sources, and maps the global value network (GVN) and the global emissions network (GEN) for China's exports during 1995–2009 from national, sectoral and national–sectoral perspectives. A comparison is conducted between China and the USA. National GVN and GEN show that shares of value‐added and CO₂ emissions from China in its GVN and GEN both decreased first then increased after 2006, while shares from the USA in its GVN and GEN generally decreased. Sectoral GVN and GEN show that among China's exports, “electrical and optical equipment” and “electricity, gas and water supply” were, respectively, the sectors that obtained the most value‐added and emitted the most CO₂. National–sectoral GVN and GEN for China exhibited reciprocal and disassortative patterns, and in‐strengths and out‐strengths of GVN and GEN for China's exports were mainly captured by several domestic country–sector pairs.

China’s emissions continue to rise rapidly in line with its mounting energy consumption, which puts considerable pressure on China to meet its emission reduction commitments. This paper assesses the impacts of CO₂ mitigation measures in China during the period from 2010 to 2050 by using a computable general equilibrium method, called AIM/CGE. Results show that renewable energy makes a critical difference in abating emissions during the period from 2010 to 2020. The scenarios with emission trading would drive more emission reductions, whereby the emission-cutting commitment for 2020 would be achieved and emission reductions in 2050 would be more than 57.90%. Meanwhile, the share of non-fossil energy increases significantly and would be more than doubled in 2050 compared with the BAU scenario. A carbon tax would result in a significant decline in emissions in the short term, but would have an adverse effect on economic growth and energy structure improvements. It is also observed that the integrated measures would not only substantially decrease the total emissions, but also improve the energy structure.