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Entrepreneurial ecosystem is a frontier issue in the field of enterprise strategy and entrepreneurship. As suggested by bottom of the pyramid (BOP) theory, entrepreneurs from base of the pyramid can gain the benefits of economic growth by obtaining equal entrepreneurial opportunities with appropriate support and motivation. However, theoretical framework to understand the ecosystem and help the people from the BOP to benefit from ecosystem is under-researched. Based on the investigation of the Taobao ecosystem case study, this paper developed a multi-layer framework to fill in the research gap.

This research adopts case study methodology for several reasons. First, case study methodology fits the explorative nature of this research to understand “what” and “how” a phenomenon happened (Yin, 2017). Second, case study research design can specify gaps or holes in existing theory with the ultimate goal of advancing theoretical explanations (Ridder, 2016). And third, it can provide researchers with contextual richness (Davison and Martinsons, 2016; Spigel, 2017).

Based on the literature review of the entrepreneurial ecosystem and the theory of the BOP, the initial framework of the inclusive entrepreneurial ecosystem is proposed. And then, based on the investigation of the Taobao village which is the typical inclusive entrepreneurial ecosystem, this paper explored how the inclusive entrepreneurial ecosystem emerges, develops and realises the co-creation between multiple actors. The emergence of Taobao village entrepreneurial ecosystem is because of the fact that ICT empowers BOP entrepreneurs. The development of entrepreneurial ecosystem presents a point-line-plane diffusion path, and co-creation to enhance inclusive entrepreneurship is realised by interaction and cooperation within social networks and integration of resources. Then, the framework of inclusive entrepreneurial ecosystem is further modified.

The complexity of entrepreneurial ecosystem facing BOP poses a major challenge to its actual operation. Therefore, it is necessary to study the driving factors of inclusive entrepreneurial ecosystems. In particular, ecosystem is a purposeful collaborative network of dynamic interactive systems, which has a set of changing dependencies in a given context. Research is still limited on socioeconomic actors’ interaction with each other in each stage to promote the evolution of entrepreneurial ecosystem. The extent to which they are intentionally designed or organically produced is still unclear, which is recommended for future study in this field.

It provides theoretical understanding on how to successfully form sustainable entrepreneurial ecosystem by integrating BOP entrepreneurs in value chain. The successful experience of Taobao village can provide contributions and implications for the management in practice. On the one hand, this can provide theoretical guidance for other countries and regions to build inclusive entrepreneurship ecosystems and help them to check and fill the gaps and build inclusive entrepreneurship ecosystems based on their local characteristics. On the other hand, this study provides theoretical guidance for solving the problem of poverty at the BOP, transforming the poor from the objects of help to successful entrepreneurs and thus realising regional sustainable development.

The significance of this study is to provide theoretical understanding on how to successfully form entrepreneurial ecosystem by practical investigation of entrepreneurial “habitat” at the BOP.

The digital economy is expected to revive the countryside and reduce the current level of urban–rural inequality. Nevertheless, whether rural e-commerce can narrow the urban–rural income gap still requires further analysis. The purpose of this paper is to clarify whether this goal is, in fact, being achieved.

Taobao villages have become the epitome of rural e-commerce development in China. Therefore, this paper matches the data of Taobao villages and the data of prefecture-level cities from 2014 to 2019, and employs a two-way fixed effect model, nonlinear model, instrumental variable model and interactive fixed effects model to explore the impact of rural e-commerce on the urban–rural income gap.

Firstly, the ability of urban residents to share rural e-commerce development is higher than that of rural residents, which actually widens the urban–rural income gap. Secondly, the migration to cities of rural families that have profited from e-commerce, and the return of working-class people to the countryside, are two factors that are contributing to the widening of the urban–rural income gap. Thirdly, the farther the distance from the urban area and the higher the spatial agglomeration of the rural e-commerce cluster is, the weaker the impact on widening the urban–rural income gap will be. Finally, while industrial-led rural e-commerce is responsible for widening the urban–rural income gap, agricultural-led rural e-commerce has no significant impact on the urban–rural income gap.

To the best of the authors' knowledge, this paper is the first to analyze the impact of rural e-commerce on the urban–rural income gap from the perspective of the coverage of Taobao villages. This empirical study will enrich existing theoretical perspectives on urban–rural integration under the backdrop of the digital economy.

A wide urban–rural income gap exists in China despite the implementation of pro-rural policies. Additionally, with the proliferation of the internet and information technology, the promotion effect of e-commerce on the economy has become apparent. Accordingly, China has been actively encouraging rural households to participate in e-commerce activities. This study aims to examine the effect of e-commerce on the urban–rural income gap.

In the study, linear and panel threshold models were applied to provincial-level panel data from 2002 to 2018.

The results of the linear model show that e-commerce contributes to narrowing the urban–rural income gap. Moreover, the panel threshold model results show that the narrowing effect exists in regions where the e-commerce intensity is at a medium-to-high level and urbanization is at a relatively low level; otherwise, e-commerce has no effect. In addition, in regions with a relatively high level of public expenditure and education, the income-gap-narrowing effect of e-commerce is more than double.

The urban–rural income gap can be reduced by promoting e-commerce and reducing the urban–rural divide in e-commerce use.

To determine how varying levels of e-commerce development affect the urban–rural income gap across regions, the study proposes four key causes of the digital divide in e-commerce: e-commerce intensity, public expenditure level, urbanization level and education level and applies the variables as threshold variables to examine the non-linear effect of e-commerce on the income gap.

The literature shows that e-commerce adoption brings many benefits to farmers and agricultural businesses. However, the literature offers very limited guidance on the most effective ways for them to utilize e-commerce platforms. In this study, we unfold how a farmer's choice between endogenous (their own) vs. exogenous (third-party) e-commerce platforms should be aligned with the external (support from agricultural cooperative) and internal (usage of quality labels) resources they can leverage and the performance goals they want to achieve (market expansion vs. price premium).

Our study draws on transaction cost economics (TCE) and resource-based theory (RBT) to test the conceptual model with data from a cross-sectional survey of 324 farmers from two provinces in PR China.

Our findings show that external and internal resources shed additional light on the effectiveness of endogenous vis-à-vis exogenous e-commerce platforms. For farmers who rely on exogenous e-commerce, support from an agricultural cooperative appears to be critical in increasing their market expansion. On the other hand, farmers seeking to earn a price premium should focus on developing their own e-commerce platforms, while at the same time emphasizing the quality labels of their agricultural products.

Farmers should pay close attention to the value-added benefits provisioned through farmers' cooperatives, as well as the benefits of acquiring quality labels for their agricultural products. However, the decision to utilize these resources should be aligned with the chosen e-commerce platform (endogenous vs. exogenous) as well as with the performance goal the farmer wants to achieve.

Our work goes beyond the traditional focus on transaction costs and efficiency of e-commerce channels and provides specific insights into when an endogenous or exogenous e-commerce model might provide benefits for farmers. On top of this, we argue and show that this decision should reside with the farmer's ability to leverage external and internal resources, envisioned through support from an agricultural cooperative and the quality labels of agricultural products.

E-commerce poverty alleviation (EPA) is an innovative poverty alleviation model in China. The institutional mechanisms of the e-commerce platform improve the effect of EPA and exert online shopping purchase power in rural China. From a socio-technical perspective, this paper used adoption readiness of farmers and perceived risk to construct an integrated model to discern the effect of enhanced e-commerce institutional mechanisms on farmers' online shopping intention in the context of EPA.

The survey included 832 valid samples from rural farmers in Shanxi province. This study analyses using structural equation modelling (SEM) and bootstrap methods used to empirically test the model.

Findings suggest that enhanced e-commerce institutional mechanisms have significant direct and indirect positive impacts on farmers' online shopping intention; adoption readiness and perceived risk play partial mediation roles in determining the relationship between farmers' online shopping intention and enhanced e-commerce institutional mechanisms; and the indirect mediation effect of adoption readiness is greater than that of perceived risk.

Although the proposed model was supported in the questionnaire survey, the investigation method was not completely excluded. Future research can combine the method of panel data and apply the framework to other e-commerce platforms, as well as to other cultural settings.

The study suggests that enhanced e-commerce institutional mechanisms that are based on the needs of farmers from poverty-stricken areas change the shopping habits of farmers. Moreover, enhanced e-commerce institutional mechanisms should allow farmers' perceived adoption readiness to play its promoting role and reduce the impeding role of perceived risk. The results of this study are conducive to the intensive implementation of the ‘Three Rural Issues’ strategy in China.

A new model to generate a two-factor mediation effect model by integrating the perceived effectiveness of enhanced e-commerce institutional mechanisms with farmers, farmers' adoption readiness, perceived risk and online shopping intention. The study explored the relationship between enhanced e-commerce institutional mechanisms and farmers' online shopping intention, bridging the gap in related empirical studies. Besides, this study first proposed farmers' adoption readiness and clarifies the mediating role of farmers' adoption readiness and perceived risk, which highlights the previously unnoticed role of farmers' adoption readiness.

Data has become one of the most significant instruments in e-commerce innovation. Benefits to the entire society can be summarized as following: from the government’s perspective - to assess the impact of e-commerce to the economy; for merchants - to understand consumers’ needs; and for consumers - to be offered with the right product he/she is looking for. The digital revolution in the past five years has shown the need to offer more differentiated services than the physical stores, when consumers are not able to try and touch products. It is for this reason that e-commerce has continuously developed and transformed Research Online, Purchase Offline into a true experience. Considering the future of e-commerce is to enhance economic development and growth, this research will discuss the disruption of Research and Development through big data. The core objective of this research is to propose a predictive model to deeply understand consumer behavior by analyzing new regulations and transaction records.

It is imperative to achieve sustainable growth in farmers' earnings to sustain poverty alleviation efforts and achieve rural revitalization goals. The authors investigated the nature of the non-linear relationship between farmers' e-commerce participation and income growth, analyzed the rationale behind this correlation and examined the moderating effect of digital finance on this relationship.

The authors conducted an empirical investigation using rural household data from the China Household Finance Survey and the regional digital finance index compiled by Peking University. The authors employed a fixed-effect model and a moderating effect model to identify the non-linear influences of e-commerce participation on farmers' income and to analyze the positive synergies of digital finance. The authors used identification and estimation techniques to mitigate the endogeneity problem, specifically employing heteroscedasticity-based instruments.

There is an inverted U-shaped relationship between e-commerce participation and farmers' income. Digital finance reduces the declining trend in the marginal effects of e-commerce and increases marginal values. Furthermore, the synergistic effect can promote the quality and efficiency of business activities by easing credit constraints, reducing risk aversion and stimulating innovative activities, which in turn can lead to sustained revenue growth.

Few studies have focused on the non-linear relationship between e-commerce and farmers' income. This implies that achieving sustained income growth using e-commerce alone is difficult. The synergy between e-commerce and digital finance is a feasible path for achieving this goal.

Small-to-medium-sized enterprises (SMEs) in e-commerce often invest in information technology (IT) to stay competitive. However, whether and how IT capability (ITC) translates into financial performance requires further research. This paper examines the role of ITC in enabling value proposition innovation (VPI) as an important mechanism that improves financial performance for Chinese e-commerce SMEs during the COVID-19 pandemic. We argue that ITC is critical for enabling innovation because it elevates SMEs’ understanding of changing customer needs, especially when SMEs operate on multiple e-commerce platforms (multihome).

We used partial least squares structural equation modeling (PLS-SEM) and tested the hypotheses that ITC mediated by VPI and moderated by multihoming increases the financial performance of e-commerce SMEs through a survey among 206 Chinese SMEs operating on Taobao.

We find that not only higher levels of ITC lead to better financial performance, but also that the effect is fully mediated by VPI. Moreover, the effect of ITC on innovation is enhanced when vendors operate on multiple platforms.

The study identifies VPI as an important mechanism through which SMEs can leverage their ITC to adapt, innovate and thrive in competition. Our work suggests that using technology to develop innovative ideas and identify opportunities (which are reflected in VPI) is key to success and that doing so is more likely when vendors multihome. Thus, this study contributes to the innovation literature by explicating a concrete link between ITC, multihoming, VPI and increased financial performance. Different e-commerce stakeholders, including SME owners, IT and service providers and e-commerce platforms, can benefit from the findings of this work.