2013
DOI: 10.1016/j.apenergy.2013.02.046
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The optimal CO2 emissions reduction path in Jiangsu province: An expanded IPAT approach

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Cited by 101 publications
(27 citation statements)
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“…The first is the uncertainty of energy statistics. Previous research on China's CO 2 emissions accounting collected energy consumption data from China's national statistics bureau [32][33][34][35][36][37][38][39][40][41]. However, there was a 20% gap between the aggregated energy consumption from 30 provinces and national consumption.…”
Section: Introductionmentioning
confidence: 99%
“…The first is the uncertainty of energy statistics. Previous research on China's CO 2 emissions accounting collected energy consumption data from China's national statistics bureau [32][33][34][35][36][37][38][39][40][41]. However, there was a 20% gap between the aggregated energy consumption from 30 provinces and national consumption.…”
Section: Introductionmentioning
confidence: 99%
“…The key issue for reaching a consensus on GHG emission reduction is the concern on its impact to local economic development [7], either in developed regions or in developing and emerging countries. For example, van Renssen explored the worries voiced within industry and argued that Europe must come up with effective climate, environment and energy policies that do not jeopardize economic competitiveness [8], Wang et al [9] stated that China's economic growth and export trade had significantly promoted its carbon emissions, and the rapid economic growth is the main determinant that causes an increase in carbon emissions [10]. Major emitters seem unwilling to accept binding emissions reductions targets as their economies have stagnated [11].…”
Section: Introductionmentioning
confidence: 99%
“…Along this line, some researchers have analyzed the convergence process in particular countries or at regional level, using as indicators CO 2 intensity (CO 2 emission over consumed energy) or CO 2 emissions per capita [6,7,8,9,10,11,12,13] among others. Other studies have focused on identifying and quantifying the factors behind the behaviour of CO 2 emissions using di↵erent methodologies like long-run relationship [14,15], structural decomposition approach [16,17], as well as analyses based on the index number theory [18] or in a decomposition performed in the production theory framework [19,20,21].…”
Section: Introductionmentioning
confidence: 99%