Village environment, capital endowment, and farmers’ participation in e-commerce sales behavior: A demand observable bivariate probit model approach

23Citations
Citations of this article
114Readers
Mendeley users who have this article in their library.

Abstract

With the recent developments in widespread internet usage and digital technology, an ul-timate worldwide transformation in information and communications technology has occurred. Especially, how people engage in the virtual market for buying and selling goods has changed dra-matically, which flourished the playground of electronic commerce (EC). Interestingly, it has become crucial to create an ample opportunity for farmers to utilize a more comprehensive market range for selling their products. However, farmers participating in e-commerce sales platforms may be interrupted by various internal and external factors. Therefore, the study’s primary goal is to evaluate the impacts of various external and internal factors on shaping farmers’ behavior in participating in e-commerce sales platforms. The study utilized a demand observable bivariate Probit model to analyze the village environment and capital endowment effects to craft the findings. The study utilized micro-survey data from 686 households in the leading kiwifruit-producing area as the empirical setup. The findings illustrated that the village environment is the main factor that restricts farmers’ e-commerce sales behavior, among which the infrastructure and policy environments have a significant contribution to farmers’ e-commerce sales intention and behavior. However, the effect of capital endowment on farmers’ e-commerce selling behavior has been found as significant. The village environment significantly affects both large-and small-scale farmers, and the capital endowment has a higher binding effect on small-scale farmers. Therefore, the paper suggests that improving the village environment for e-commerce development and laying the foundation for e-commerce development should be fostered. A differentiated incentive mechanism to improve the capital endowment of farmers should be constructed. A well-structured capital endowment triggering small farmers to capture the benefits of e-commerce sales should be imposed. The government should extend the support of the agricultural demonstration zone to facilitate practical training among the smallholder farmers. The formal and informal risk-sharing and financial institutions should prioritize building infrastructure to support farmers’ short-and long-term investments. Farmers should realize the importance of e-commerce for integrating the agricultural value chain.

References Powered by Scopus

Partial observability in bivariate probit models

295Citations
N/AReaders
Get full text

Environment and policy factors shaping global e-commerce diffusion: A cross-country comparison

271Citations
N/AReaders
Get full text

Policy support, social capital, and farmers' adaptation to drought in China

201Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Influences of Government Policies and Farmers’ Cognition on Farmers’ Participation Willingness and Behaviors in E-Commerce Interest Linkage Mechanisms during Farmer–Enterprise Games

12Citations
N/AReaders
Get full text

The Influence of Digital Literacy on the Phenomenon of Deviation between Farmers’ E-Commerce Sales Willingness and Behavior: Evidence from Rural China

5Citations
N/AReaders
Get full text

Can Urban Green Transformation Reduce the Urban–Rural Income Gap? Empirical Evidence Based on Spatial Durbin Model and Mediation Effect Model

4Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Li, X., Sarkar, A., Xia, X., & Memon, W. H. (2021). Village environment, capital endowment, and farmers’ participation in e-commerce sales behavior: A demand observable bivariate probit model approach. Agriculture (Switzerland), 11(9). https://doi.org/10.3390/agriculture11090868

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 21

50%

Lecturer / Post doc 11

26%

Researcher 6

14%

Professor / Associate Prof. 4

10%

Readers' Discipline

Tooltip

Economics, Econometrics and Finance 12

36%

Social Sciences 9

27%

Business, Management and Accounting 7

21%

Agricultural and Biological Sciences 5

15%

Save time finding and organizing research with Mendeley

Sign up for free