2018-发展中国家的频谱定价（英文版）-10mb

Summary of "Spectrum Pricing in Developing Countries"

Core Content

This report from GSMA Intelligence examines the impact of spectrum pricing on mobile services in developing countries, emphasizing the need for more affordable and predictable access to spectrum to foster digital inclusion and economic growth. It highlights the significant differences in spectrum pricing between developing and developed countries and explores the trade-offs between public revenue generation and consumer welfare.

Main Points

1. Spectrum Pricing and Consumer Impact

• High Spectrum Prices: Between 2010 and 2017, final spectrum prices in developing countries were on average more than three times those in developed countries when adjusted for income levels.
• Negative Effects: High spectrum prices lead to more expensive, lower quality mobile broadband services and can hinder network investment and the deployment of advanced technologies like LTE and 4G.
• Digital Divide: A large proportion of people in developing countries remain unconnected or lack access to mobile internet, which limits their ability to benefit from mobile technology's transformative potential.

2. Factors Influencing Spectrum Pricing

• Government Policies: Governments and regulators play a key role in increasing spectrum prices through policy decisions such as setting high reserve prices, limiting supply, and poor award rules.
• Revenue Maximisation: Some countries prioritize revenue maximization over market efficiency, which can result in high spectrum prices that negatively affect consumer outcomes.
• Market Dynamics: While market competition can drive prices, in many developing countries, prices are not solely determined by market forces but are also influenced by government intervention.

3. Spectrum Policy Objectives

• Efficient Assignment: Assign spectrum to those who value it most and will use it most efficiently.
• Consumer Welfare: Support a competitive mobile market, ensure sufficient capacity, and keep prices low for customers.
• Public Revenue: Raise revenue for the state, though this should not come at the expense of consumer benefits.

4. Spectrum Cost Structures

• Upfront Fees: Most spectrum licenses involve an upfront payment, typically through auctions, which is the primary focus of the report.
• Annual Fees: These are also part of the cost structure but are not included in the analysis due to limited public data.
• Other Costs: Some licenses include revenue-sharing or coverage/social obligations, which can increase the financial burden on operators.

5. Investment and Pricing Impacts

• Investment Incentives: Higher spectrum prices can reduce the profitability of mobile services, leading to underinvestment and inefficient capital allocation.
• Consumer Pricing: High costs can result in higher tariffs, limiting access to mobile services for lower-income populations.
• Uncertainty: Short license durations and lack of transparency in spectrum awards create an uncertain investment environment for operators.

Key Case Studies

• Jamaica: Delays in 4G band assignment and high spectrum prices have resulted in significantly lower 4G market penetration compared to the Caribbean average.
• Costa Rica: A top performer in Central America, it has achieved high 4G coverage and penetration due to more affordable and accessible spectrum policies.

Conclusion

• Trade-offs: Spectrum pricing policies must balance public revenue goals with the need to provide affordable, high-quality mobile services to support digital inclusion and socioeconomic development.
• Policy Recommendations: Governments should focus on efficient and transparent spectrum allocation to ensure sustainable mobile market growth and better consumer outcomes.

Methodology

• The report uses a comprehensive dataset of over 1,000 spectrum assignments across 102 countries.
• It includes data from 60 developing and 42 developed countries, adjusted for inflation, PPP (2016 prices), and license duration.
• The analysis is based on 3-period moving averages and excludes outliers to provide a clearer picture of trends.

Key Figures

• Figure 1: Proportion of population not subscribed to mobile services or internet in 2017.
• Figure 2: 4G spectrum prices in developing countries more than doubled between 2010 and 2017.
• Figure 3: Wide range of final prices in developing countries, including extreme outliers.
• Figure 4: Final prices are comparable in developed and developing markets when adjusted for purchasing power.
• Figure 5: Spectrum prices in developing countries are on average more than three times those in developed countries when adjusted for GDP per capita.
• Figure 6: Reserve prices in developing countries are consistently higher than in developed countries.
• Figure 7: Reserve prices in developing countries are on average more than five times those in developed countries when adjusted for income.
• Figure 8: Final prices in developing countries are close to reserve prices, indicating that auctions are not effectively letting the market determine prices.
• Figure 9: The ratio of reserve to final prices has increased in developing countries, suggesting more aggressive reserve pricing.

This report underscores the importance of well-designed spectrum policies in enabling the development of mobile services and the broader digital economy in developing countries.