Abstract
Abstract The promotion of low-carbon coordinated development in various major function-oriented zones is a measure in China to address the problem of climate change. In this study, we selected the optimized development, key development, key ecological function, and main agricultural production zones of Guangdong province as the research objects. We built a calculate-and-correct model of carbon emissions at district/county scales based on different data sources. Carbon pressure, per capita carbon emission, and carbon intensity were used as the measurement indices, and three quantitative formulas were established to calculate the carbon compensation amount in the different major function-oriented zones. We then investigated the spatial and temporal disparities in the carbon emissions and interregional carbon compensation in the zones. We drew three conclusions. First, there were substantial spatial differences in the total carbon emissions, per capita carbon emissions, carbon pressure, and carbon intensity in the four major function-oriented zones. Second, we comprehensively compared the carbon compensation results calculated by the three carbon emission measurement indices and found that carbon emission pressure was the best measurement index. The results of carbon compensation accounted by the carbon pressure indicated that the optimized development zone was the key pay compensation area, the key development zone was the compensation balance area, and the ecological development zone was the key receive compensation area. Third, compared to the results of previous research, our results were more in line with the expectations. The proportion of the compensation in the gross domestic product of each of the four major function-oriented zones was much higher than that obtained from previous research, and carbon compensation played a remarkable role in promoting regional coordinated development. Thus, this research provided a novel concept and quantitative research tool for interregional carbon compensation.
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