2018年-世界发展银行全球_Why_Are_Connection_Charges_So_High____An_Analysis_of_the_Electricity_Sector_in_Sub-Saharan_Africa_40页_3mb
报告摘要
Why Are Connection Charges So High? An Analysis of the Electricity Sector in Sub-Saharan Africa
Core Content
This paper investigates the high electricity connection charges in Sub-Saharan Africa (SSA) and their impact on electrification rates. It presents a structural model that analyzes the behavior of households and electricity distribution utilities, focusing on how low regulated electricity tariffs lead to high connection charges and low access rates.
Main Viewpoints
- Low Electrification Rates: Electrification rates in SSA are among the lowest globally, with only 35.3% of the population having access to electricity in 2012, up from 22.8% in 1990.
- High Connection Charges: Connection charges are often high relative to local incomes and global standards, acting as a barrier to electricity access.
- Regulated Tariffs and Profitability: Regulated electricity tariffs are frequently set too low to cover the costs of electricity generation and distribution, leading to financial losses for utilities when new customers connect.
- Optimal Connection Charges: The paper computes the optimal connection charges that maximize the profits of distribution utilities, given a regulated tariff. Lower tariffs are associated with higher optimal connection charges.
- Regulatory Influence: The regulatory framework in SSA often fails to allow utilities to recover costs from capital investment, creating a disincentive to connect new customers.
- Uganda as a Case Study: Uganda is highlighted as one of the few SSA countries with a financially viable electricity sector, where the regulated price is sufficient to cover costs, and the connection charge is close to optimal.
- Demand-Side Factors: Households are assumed to choose between different fuel sources (kerosene, grid electricity, solar) based on cost, reliability, and consumption patterns. Higher incomes and better grid access increase the likelihood of choosing electricity or solar.
- Modeling Approach: The paper develops a household model to estimate energy demand and a distribution utility model to analyze the impact of connection charges on profitability and access rates.
Key Information
- Wholesale Costs: Electricity generation costs in SSA are high, with fossil fuels (especially coal) and hydroelectricity dominating.
- Retail Tariffs: Regulated retail tariffs are often too low to cover variable costs, leading to unprofitable connections.
- Connection Charge Impact: High connection charges reduce the number of households seeking connections and help utilities recover future losses.
- Empirical Data: The study uses data from the Uganda National Panel Survey (UNPS), covering 2009–2012, and includes information on household characteristics, energy consumption, and prices.
- Model Structure: The model includes both a household demand function and a utility profit function. It accounts for the trade-off between connection charges and electricity prices.
- Policy Implications: The paper suggests that increasing electrification requires higher incomes, better distribution coverage, and lower connection costs. It also warns that focusing only on connection charges may misdiagnose the underlying issues.
Methodology
- Household Model: The model estimates the demand for kerosene and electricity, and the choice of fuel source, using a discrete choice framework.
- Utility Model: The model considers the profit-maximizing behavior of distribution utilities, taking into account the impact of connection charges on both revenue and costs.
- Data Sources: The study combines household survey data, geographical data on the electricity network, and financial data from the distribution utility Umeme.
Findings
- Unprofitability of Connections: In many SSA countries, adding a residential customer is unprofitable due to low consumption and high wholesale prices.
- Connection Charge Optimization: The optimal connection charge depends on the regulated tariff. Higher tariffs lead to lower optimal connection charges and higher electrification rates.
- Consumer Behavior: Households are more likely to choose electricity or solar if their income is higher, electricity is more reliable, or they are closer to the grid.
- Regulatory Challenges: The paper highlights the importance of credible tariff-setting by regulators to ensure that utilities can recover costs and encourage connections.
Conclusion
- Policy Recommendations: To improve electricity access, policies should aim to increase household incomes, expand distribution networks, and reduce connection costs.
- Need for Integrated Analysis: The paper emphasizes the need for an integrated analysis of both demand-side and supply-side factors in the electricity sector.
- Role of Regulators: Regulators play a crucial role in setting tariffs that balance the interests of utilities and consumers, and their failure to do so can exacerbate the problem of low electrification.
References and Context
- The study is part of a larger World Bank initiative on electricity access in SSA.
- It draws on theoretical literature on optimal two-part tariffs for regulated monopolies.
- The analysis is based on data from Uganda, a country with relatively advanced electricity sector reforms.
Summary of Implications
- Financial Viability: A financially viable electricity sector requires both appropriate regulated tariffs and reasonable connection charges.
- Consumer Welfare: High connection charges may reduce consumer welfare, as the consumer surplus from a connection is often less than the cost of providing it.
- Future Prospects: Future electrification in SSA will depend on a combination of economic, technical, and regulatory improvements.
Key Takeaways
- High connection charges are a result of low regulated tariffs.
- Uganda is an exception with a financially viable sector.
- Household demand is influenced by income, fuel choice, and grid access.
- Regulatory frameworks need to be reformed to allow cost recovery and profitability for utilities.
- Modeling approach combines household and utility behavior to analyze the impact of connection charges on electrification rates.
展开完整摘要
试读结束,高清完整版pdf/doc/ppt,请点下载