亚开行-技术在电子商务B2C中的作用：来自亚洲的证据（英文）-2021.2-35页_1mb

报告摘要

The Role of Technology in Business-to-Consumer E-Commerce: Evidence from Asia

Core Content

This working paper by Jong Woo Kang, Tengfei Wang, and Dorothea Ramizo explores the role of technology adoption in the growth of business-to-consumer (B2C) online commerce in Asia. It highlights the uneven diffusion of e-commerce, which is concentrated in developed and large economies, thereby creating a digital divide that excludes small and medium-sized enterprises (SMEs) and less affluent populations. The paper aims to address the lack of empirical studies on the relationship between technology adoption and B2C online commerce in the region, especially in the context of different segments such as m-commerce, cross-border sales, and domestic sales.

Main Viewpoints

Technology Adoption and E-commerce Growth: Technology infrastructure, including internet access, broadband penetration, mobile broadband subscriptions, and secure servers, plays a crucial role in facilitating B2C online sales.
Digital Divide: The rapid growth of e-commerce has not been evenly distributed across economies, leaving smaller and less developed economies at a disadvantage.
Impact of Financial Environment: Financial inclusiveness, such as the availability of credit and debit cards, is a significant factor influencing B2C online commerce.
Consumer Behavior and Trust: Trust in online platforms, particularly in cross-border e-commerce, is influenced by perceived security, privacy, and the overall user experience.
Socioeconomic Factors: Education, employment, inflation, and tax rates are important determinants of consumer spending, which in turn affects B2C online commerce.

Key Information

Technology Adoption Measures

Internet User Penetration (IUT): A key indicator of the demand side for B2C online commerce.
Fixed Broadband Internet Subscription (FBIS): Reflects the availability of high-speed internet access.
International Internet Bandwidth (IIB): Measures the capacity of internet infrastructure to support global transactions.
Mobile Broadband Subscriptions (MBS): Highlights the role of mobile technology in e-commerce.
Mobile Telephone Subscriptions (MTS): Suggests the importance of basic mobile connectivity in online transactions.
Fixed Telephone Lines (FTL): Indicates the presence of traditional communication infrastructure that can support online activities.

Financial Readiness Indicators

Debit Cards per 1,000 Adults (DC): Reflects the availability of financial tools for online transactions.
Credit Cards per 1,000 Adults (CC): Also a proxy for financial readiness, with a strong correlation to DC.

Socioeconomic Indicators

Inflation (inf): Influences consumer spending behavior.
Employment (emp): Affects overall consumer confidence and spending.
Average Tax Rate (tax): Impacts consumer purchasing power.
Primary and Secondary Education (educp, educs): Linked to consumer internet use and e-commerce engagement.

Empirical Analysis

The paper uses proprietary panel data to ensure comparability across countries and years.
Two main models are estimated:
- $ \ln B2C_{it} = \ln Tech_{it} \alpha_1 + \ln server_{it} \alpha_2 + \ln DC_{it} \alpha_3 + \ln Z_{it}^{\prime} \boldsymbol{\alpha} + c_i + \epsilon_{1it} $
- $ \ln B2C_{it} = \ln Tech_{it} \gamma_1 + \ln server_{it} \gamma_2 + \ln CC_{it} \gamma_3 + \ln Z_{it}^{\prime} \gamma + c_i + \epsilon_{2it} $
Fixed effects and random effects models are used to account for potential reverse causality between e-commerce and technology adoption.
The study also considers the relationship between technology adoption measures and B2C online sales, as illustrated in Figure 2.

Findings

Technology Infrastructure: Internet user penetration, broadband subscriptions, and mobile broadband subscriptions are strongly associated with increased B2C online sales.
Secure Servers: The number of secure servers is a proxy for the supply side of e-commerce, reflecting firms' investment in secure online services.
Financial Inclusiveness: Debit and credit card penetration are important indicators of the financial environment's readiness to support online transactions.
Consumer Trust: Perceived trust in cross-border platforms mediates the relationship between product recognition and consumer behavior.
Economic Factors: Education, employment, inflation, and tax rates are significant factors influencing consumer spending and, by extension, B2C online commerce.

Policy Implications

Governments should focus on improving internet access and speed to support B2C online commerce.
Enhancing online security is essential to build consumer trust and facilitate e-commerce growth.
Financial inclusiveness must be promoted to ensure that more consumers can participate in online transactions.
Policies should aim to bridge the digital divide and create an enabling environment for all types of B2C online commerce, including m-commerce and cross-border sales.

Conclusion

The paper concludes that technology adoption is a critical driver of B2C online commerce growth in Asia. It underscores the importance of addressing the digital divide and ensuring that all economies, particularly SMEs and less developed regions, benefit from the digital transformation. The study provides empirical evidence on how technology, financial readiness, and socioeconomic factors interact to influence B2C online sales, offering valuable insights for policymakers and businesses aiming to develop inclusive e-commerce ecosystems.

Key Figures and Tables

Figure 1: Illustrates the relationship between technology adoption measures and internet retail sales.
Figure 2: Shows the interplay between various technology adoption indicators.
Tables 1–6: Summarize the impact of different technology adoption variables on B2C online sales across various categories (e.g., m-commerce, cross-border, and domestic sales).