scholarly journals Peer-to-Peer Energy Trading and the Sharing Economy: Social, Markets and Regulatory Perspectives

Author(s):  
Alexandra Schneiders ◽  
Michael Fell ◽  
Colin Nolden

Peer-to-peer (P2P) energy trading is a new data-driven business model currently being trialed within the energy sector. Introducing P2P transactions to an essential service such as energy could have far-reaching implications for individuals and the grid. This paper raises considerations and questions from social, economic/markets and regulatory points of view, that should be understood and addressed by societies and policymakers. It does this by considering under what circumstances it is reasonable to conceptualize P2P energy trading as part of the sharing economy, and drawing parallels to the sharing economy experience in other sectors. In order to reap the full societal benefits, while avoiding considerable risks to infrastructure and individuals, a policy approach promoting dialogue and innovation is necessary. We suggest the regulatory sandbox is the most appropriate tool to achieve this and would help avoid the breakdown of trust between policymakers and platform companies observed in other sectors.

Author(s):  
Alexandra Schneiders ◽  
Michael Fell ◽  
Colin Nolden

Peer-to-peer (P2P) energy trading is a new data-driven business model currently being trialed within the energy sector. Introducing P2P transactions to an essential service such as energy could have far-reaching implications for individuals and the grid. This paper raises considerations and questions from social, economic/markets and regulatory points of view, that should be understood and addressed by societies and policymakers. It does this by considering under what circumstances it is reasonable to conceptualize P2P energy trading as part of the sharing economy, and drawing parallels to the sharing economy experience in other sectors. In order to reap the full societal benefits, while avoiding considerable risks to infrastructure and individuals, a policy approach promoting dialogue and innovation is necessary. We suggest the regulatory sandbox is the most appropriate tool to achieve this and would help avoid the breakdown of trust between policymakers and platform companies observed in other sectors.


Author(s):  
Stephan Reinhold ◽  
Sara Dolnicar

Peer-to-peer accommodation networks in general, and Airbnb in particular, are frequently referred to as part of the sharing economy. This chapter provides an overview of key characteristics of the sharing economy, discusses how these characteristics relate to peer-to-peer accommodation, and positions peer-to-peer accommodation networks within the sharing economy.


Author(s):  
CHRISTINA ÖBERG

The sharing economy could be said to disrupt who does what in exchanges. This paper categorises the roles played by users, providers, and platforms in different interpretations of the sharing economy. It asks: What different roles do the users, providers, and platforms play in the sharing economy? And: How do the roles differ in various interpretations of the sharing economy? The paper classifies the different interpretations based on their market/non-market logic and concludes that roles are more extensive for users and providers in non-market logic interpretations, while market logic suggests that the platform acts more roles. The user is, despite the peer-to-peer connotation of the sharing economy, often quite passive. Contributions are made to the emerging literature on the sharing economy through highlighting its many different interpretations, where roles help to systematise these. The paper furthermore contributes to the literature on roles through highlighting them as transitory and expanding beyond expectations related to digitalisation. Practically, the systematisation of roles helps to navigate among various business model designs and makes informed decisions when launching platforms in the sharing economy. Additionally, the focus on roles raises important questions on risk sharing, resource provisions, and the creation of value for each participating party.


2019 ◽  
Author(s):  
Michael James Fell

This document outlines our approach to conducting a rapid realist review to identify evidence for potential impacts on people and society of peer-to-peer energy trading (and of distributed ledger technology used in this context). Our motivation for the study is to help anticipate who might stand to win or lose (and how and why), inform policy/regulation to help maximize benefits and minimize harm, and identify research gaps. While our focus is in the energy sector, we also plan to draw on evidence (where relevant) from examples of sharing economy models in non-energy sectors. We have already developed and engaged around a provisional programme theory (presented as a set of Context-Mechanism-Outcome statements), which we will develop as the review progresses. We set out where and how we will seek to identify evidence (through online searching, reference checking and calling for evidence). In line with our exploratory and iterative approach, we propose broad inclusion criteria. We will assess evidence quality subjectively on the basis of relevance and rigour for each Context-Mechanism-Outcome group, not at document level. Synthesis will be achieved through developing our programme theory and connecting evidence to it. We will disseminate findings through an academic paper (or papers), one or more policy briefings (with associated engagement events), one or more public blogs, and materials will be openly shared on an ongoing basis through an Open Science Framework page.


2021 ◽  
pp. 231971452110035
Author(s):  
Aruna Polisetty ◽  
Jikku Susan Kurian

One of the most popular IT-facilitated peer-to-peer economic model driving the world, the sharing economy attained its importance in India of late and witnessed a sudden acceptance among people. This model emphasizes the sharing of underutilized goods or service capacity, without transferring the ownership, with the aid of an intermediary, which was widely accepted by the Indian market mainly because of high mobile penetration, high millennial concentration and its aspirational population. Though there are numerous examples of shared economy prevailing in India, this case is on the initiation, hiccups, acceptance, growth, and the pandemic led to sudden blow in the business of Airbnb, the bed and breakfast startup founded by Brian Chesky, Joe Gabberia and Nathan Blecharczyk. Though the young workforce, dominated by millennials and Gen Z generations, acted as a catalyst in the growth of Airbnb, the unanticipated pandemic catapulted the business of Airbnb, invalidating its business model. The business model that provided a handful of earning opportunities to both the hosts and the business is no more in existence. However, Airbnb adopted a series of measures to protect the rights of both parties. This case discusses the possible strategies Airbnb can adopt to get its business back to track post-pandemic days.


2020 ◽  
Vol 12 (2-3) ◽  
pp. 44-60 ◽  
Author(s):  
Amirmahdi Tafreshian ◽  
Neda Masoud ◽  
Yafeng Yin

As a consequence of the sharing economy attaining more popularity, there has been a shift toward shared-use mobility services in recent years, especially those that encourage users to share their personal vehicles with others. To date, different variants of these services have been proposed that call for different settings and give rise to different research questions. Peer-to-peer (P2P) ride sharing is one such service that provides a platform for drivers to share their personal trips with riders who have similar itineraries. Unlike ride-sourcing services, drivers in P2P ride sharing have their own individual trips to make and are not driving for the sole purpose of serving rider requests. Unlike traditional carpooling, P2P ride sharing can serve on-demand and one-time trip requests. P2P ride sharing has been identified as a sustainable mode of transportation that results in several individual and societal benefits. The core of a P2P ride-sharing system is a ride-matching problem that determines ride-sharing plans for users. This paper reviews the major studies on the operations of P2P ride-sharing systems, with a focus on modeling and solution methodologies for matching, routing, and scheduling. In this paper, we classify ride-sharing systems based on their operational features and review the existing methodologies for each class. We further discuss a number of important directions for future research.


Energies ◽  
2020 ◽  
Vol 13 (14) ◽  
pp. 3568
Author(s):  
Min Hee Chung

Since the sharing economy emerged as a new paradigm with the development of technology, the global sharing economy market has grown rapidly. In the energy sector, peer-to-peer energy trading is being conducted to share energy produced through renewable energy systems. In this study, in the situation where energy transactions among individuals are expected to expand in the future, the types of buildings and trading to secure the economics of energy trading were compared. The types of buildings were limited to residential buildings, and the economic efficiency according to energy performance was compared. Because the government has strengthened energy performance regulations, the performance varied depending on the time of construction. Therefore, building types were divided into existing houses, new houses, and zero-energy houses. The trading types were compared to the existing methods, net-metering and feed-in tariff for small-scale distributed PV systems, with P2P trading. Thus, consuming only the amount of electricity in Tier 1 and trading the rest between individuals was the most economical strategy in residential buildings to which the progressive tariff system was applied. As the performance of a building improves, the more electricity that can be traded, and the wider the range for securing economic feasibility.


Author(s):  
Vibhanshu Abhishek ◽  
Jose A. Guajardo ◽  
Zhe Zhang

With peer-to-peer sharing of durable goods like cars, boats, and condominiums, it is unclear how manufacturers should react. They could seek to encourage these markets or compete against them by offering their own rentals. This work shows why the best business model depends on whether consumer usage rates vary or not. Contrary to what might be expected, this paper shows that manufacturers have an incentive to facilitate transactions of P2P rental markets in a large variety of cases. We find that when consumer variation in usage rates is intermediate, the manufacturer is surprisingly best off avoiding offering its own direct rentals option and instead, facilitating a peer-to-peer rental market where consumers can share among themselves. The reason for this is an effect unique to the sharing economy, the equalizing effect. The equalizing effect shows that peer-to-peer rentals uniquely make previously heterogeneous willingness-to-pay among consumers more similar, making it easier for the firm to discriminate between the higher- and lower-value consumers, thus allowing it to extract a higher portion of consumers’ surplus. Surprisingly, there are some cases where peer-to-peer rentals benefit the manufacturer, but consumers are hurt overall (though the lower-usage consumers do always benefit from the availability of peer-to-peer rentals).


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