2014年-世界发展银行全球_Input-Output_Modeling_for_Urban_Energy_Consumption_in_Beijing___Dynamics_and_Comparison_11页_558kb

Summary of "Input-Output Modeling for Urban Energy Consumption in Beijing: Dynamics and Comparison"

Core Content

This paper presents an analysis of urban energy consumption in Beijing using an environmental input-output (EIO) model, based on data from 1987 to 2007. The study aims to understand the dynamics of energy consumption, particularly the shift from direct to indirect energy use, and to compare sectoral energy consumption patterns over time in relation to economic structural changes.

Main Points

• Embodied Energy Consumption: The total embodied energy consumption in Beijing increased significantly from 38.85 Mtce in 1987 to 206.2 Mtce in 2007, reflecting the city's rapid urbanization and economic growth.

• Shift in Energy Consumption Structure: The share of indirect energy consumption in total energy consumption rose from 48% to 76%, indicating a transition from a production-based and manufacturing-dominated economy to a consumption-based and service-dominated one.

• Key Drivers of Indirect Energy Use: Real estate development and construction activities are identified as major contributors to the growth in indirect energy consumption. The boom and bust cycles of construction are strongly correlated with changes in indirect energy use.

• Traditional Heavy Industries: Despite the overall shift, traditional heavy industries (Group C) remain the most energy-intensive sectors in terms of direct energy intensity. However, their energy efficiency has improved over the years.

• Transportation and Service Sectors: These sectors have contributed most to the increase in overall energy consumption, especially in the context of urbanization and service expansion.

• Energy Intensity Decline: The direct energy intensity decreased from 2.66 tce/10,000 yuan in 1987 to 0.70 tce/10,000 yuan in 2007, and embodied energy intensity also declined, from 5.16 tce/10,000 yuan to 2.71 tce/10,000 yuan.

• Sectoral Changes: In 1987, the largest direct and indirect energy consumers were in Group C (manufacturing), but by 2007, the transportation (Group E) and construction (Group D) sectors became the main contributors to energy use.

• Indirect Energy Consumption: Indirect energy use was found to be higher than direct in almost all sectors. The ratio of direct to total energy consumption dropped from 33% in 1987 to 22% in 2007, further highlighting the structural shift in Beijing's economy.

• Methodology: The study employs the Leontief inverse matrix to account for the cumulative energy requirements across sectors. The influence coefficient (IC) and response coefficient (RC) are used to analyze the linkages in energy use across the urban economic system.

• Data Sources: The analysis is based on 9 input-output tables from the Beijing Statistical Bureau. These tables were aggregated into 30 sectors for consistency. The direct energy consumption data were sourced from the energy balance table (EBT) of the Beijing Statistics Yearbook.

• Policy Implications: The study suggests that a system-wide approach using input-output models is essential for robust energy policy making, especially in the context of urbanization and environmental sustainability.

Key Information

• Time Period: 1987 to 2007.
• Sectors Analyzed: 30 economic sectors, grouped into 5 categories: Agriculture (A), Mining (B), Manufacturing (C), Construction (D), and Services (E).
• Energy Units: Energy is measured in tonnes of coal equivalent (Mtce).
• Data Conversion: Data were converted to 1987 constant prices using the GDP price index.
• Import Dependency: Beijing heavily relies on imported energy resources, with 95% of coal, 64% of electricity, and 60% of refined oil coming from outside the city.
• Environmental Impact: The paper emphasizes the importance of understanding indirect energy consumption to better assess the environmental impact of urban economic activities.
• Future Research: The decline in direct energy consumption for some sectors while embodied energy consumption increases is attributed to industrial transition and technological upgrades, and requires further investigation.

Conclusion

The paper demonstrates the effectiveness of the input-output model in analyzing embodied energy consumption and understanding the dynamics of urban energy use. It highlights the structural transformation of Beijing's economy and the increasing reliance on indirect energy consumption as a result of urbanization and economic restructuring. The findings suggest that policy decisions must consider the complex interdependencies between sectors to effectively manage energy demand and environmental impact.