Page 291 - Special Topic Session (STS) - Volume 4
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STS587 Guangwu C.
            generated by the initial spending from consumers create additional activities
            and therefore environmental impacts in the local economy. In addition, the
            business-to-business transactions indirectly caused by the direct effects lead
            to  further  ‘indirect’  environmental  impact  embodied  in  supply  chains.  The
            income generated through digital platforms by households could be re-spent
            and  induce  further  economic  and  environmental  impacts,  which  has  been
            largely ignored in the literature.
                The digital economy also gives a boost to a free market platform such as
            “Airtasker”  in  which  temporary  positions  are  common  and  individuals  or
            organizations contract with independent workers for short-term engagement
            (i.e. Gig Economy (Friedman 2014)). Many Chinese outsource the labor work
            to part-time workers or freelancers who especially for those new migration
            race the price to the bottom to win the job. Debate on the digital market of
            job outsourcing splits into two perspectives.
                One  argues  that  it  increases  the  employment  chances  to  get  paid and
            supplement the low-income group people. The others claim that it leads to
            more  individual  joining  the  freelancing  and  increase  the  instability  of  the
            society since this form of employment has mislabeled workers as independent
            contractors and immunize employers from workplace injuries and harassment.
            Freelancing also raises the concern of responsibilities of government such as
            pension since the Chinese government has collected the tax from these part-
            time workers. However, previous research lacks of a modeling to qualify the
            employment of gig workers by converting it into a full-time equivalent unit
            (an equivalent freelancer), which will be conducted during this fellowship.
            Digital  platforms  have  made  online  shopping  prevalent  and  influence
            subjective experiences as to make them potentially addictive activities (Chen
            et  al.  2019b).  Several  predictive  factors  have  been  identified  as  drivers  of
            compulsive online shopping including female gender, low self-esteem, low
            self-regulation, negative emotional state, as well as cognitive overload. Linking
            micro-scale  consumer’s  socio-economic  and  demographical  characteristics
            particular  with  mental  health  state  to  the  macro-scale  environmental  and
            social footprints would help to regulate the consumer’s behaviors towards a
            sustainable consumption future.
                To  challenge  digital  economy  measurement,  (1)  We  present  a  new
            industrial classification system by disaggregating the digitalised sector from
            related  sectors  and  then  filling  the  data  of  the  new  sector  and  also  the
            numbers  with  each  sector.  The  data  are  from  various  sources  including
            yearbooks, digitalisation development reports and related databases. (2) We
            insert  the  new  digital  sector  into  China’s  economic  system  using  a  global
            boundary input-output table focusing on China system. We restructure the
            global multi-regional input-output table into two regions – China and rest of
            the world (RoW) and extended the new MRIO table with a new digital sector
            to show the digital production supply chain. (3) We use Leontief demand-

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