Green eCommerce in Small and Medium-Sized Towns in Asia: The Evidence from China

Lana Beikverdi ()
Additional contact information
Lana Beikverdi: HAMK University of Applied Sciences

A chapter in Advances in Digital Marketing and eCommerce, 2024, pp 117-126 from Springer

Abstract: Abstract The rapid growth of eCommerce opens new horizons for sustainable consumption by giving a boost to online selling and buying of sustainable products. Although consumers in developed countries are actively involved in sustainable consumption, the situation is different in developing countries. China, as one of the biggest markets, plays an essential role in sustainable development. At the same time, the level of consumption in China keeps growing and online sales of some product categories overgrew offline ones. Despite researchers’ great interest in sustainable consumption in China, some aspects of this phenomenon remain understudied. One of these aspects is the current state of green eCommerce or online selling and buying of sustainable products in small- and medium-sized towns in China. The current study employs a qualitative approach to address this gap, shed light on green eCommerce in China, and provides recommendations for practice.

Keywords: Green eCommerce; Sustainable Consumption; Chinese Consumers; Small and Medium-sized Towns (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-62135-2_12

Ordering information: This item can be ordered from
http://www.springer.com/9783031621352

DOI: 10.1007/978-3-031-62135-2_12

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().