CO2 Emissions from the Power Industry in the China’s Beijing-Tianjin-Hebei Region: Decomposition and Policy Analysis

Abstract

Based on the energy consumption data of power industry in the Beijing-Tianjin-Hebei region from 1995 to 2014, our paper first estimated CO 2 emissions using the IPCC carbon accounting methods. Then, starting from the perspective of the power industry chain -including power generation, transmission, and final consumption -we established the hierarchical LMDI decomposition model; decomposed driving factors of CO 2 emissions into effects of fuel mix; the coal consumption rate; power generation structure; the ratio of power generation to consumption, transmission, and distribution losses; production sectors' electricity intensity; industrial structure; household electricity intensity; economic scale; and population size. Results show that: 1. During 1995-2014, CO 2 emissions of power industry in the Beijing-Tianjin-Hebei region developed in fluctuation and showed a rising trend in general, with annual average growth rate of 5.93%. 2. The factors that drive the growth of CO 2 emissions from the power industry in the Beijing-Tianjin-Hebei region are, in order, economic scale, population size, transmission and distribution losses, and industrial structure, with a contribution rate of 150.70%, 20.80%, 8.86%, and 8.83%. The factors that drive CO 2 emissions reduction are production sectors' electricity intensity, the coal consumption rate, the ratio of electricity generation and consumption, household electricity intensity, power generation structure, and fuel mix, with a contribution rate of -45.97%, -22.38%, -19.41%, -0.62%, -0.49%, and -0.32%, respectively.

Exploring Carbon Emissions in China’s Electric Power Industry for Low-Carbon Development: Drivers, Decoupling Analysis and Policy Implications

“…Power intensity effect plays the most important role in controlling the increase in carbon emissions, which is in line with previous research [14][15]. The accumulated effect (ΔC et ) displaced 1238.74Mt CO 2 from China's atmosphere with a contribution rate of -46.38%.…”

Decomposition and Forecasting of CO2 Emissions in China’s Power Sector Based on STIRPAT Model with Selected PLS Model and a Novel Hybrid PLS-Grey-Markov Model

“…Drivers influencing CO 2 emissions are classified under four headings. The first is population, represented by total population or urbanization level in earlier literature, which are found to be the contributory drivers of CO 2 emissions [27][28][29][30][41][42][43][44]. The second is affluence, usually reflected by gross domestic product (GDP) per capita.…”

“…In terms of China's power generation industry, Zhang [27] identified the determinants of CO 2 emissions change of the power sector in Beijing-Tianjin-Hebei region, and showed that the production sector's electricity intensity remains a critical factor for achieving CO 2 emission reductions. Sun et al [28] used a scenario analysis approach to estimate the CO 2 emissions in China's power industry for diverse scenarios, and derived policy implications based on the extended STIRPAT model.…”

The Factors Affecting Electricity Consumption and the Consumption Characteristics in the Residential Sector—A Case Example of Taiwan

“…Electricity consumption may cause not only an improved living style but also aggravated impacts on the environment due to inappropriate use [9]. Hence, relevant energy policies are required to induce efficient electricity consumption in the residential sector in many countries due to global warming effects and security of energy supply [10]. As the electricity consumption in the residential sector accounts for about one third of the total electricity consumption in the world [11], this implies that the electricity consumption characteristics in the residential sector should be focused.…”