County Economy, Population, Construction Land, and Carbon Intensity in a Shrinkage Scenario

Abstract

As the largest ecological background system and basic economic unit in China, counties are of great significance to China’s carbon emission reduction targets. This article conducts theoretical model construction and empirical test research from a contraction perspective, using population and built-up area change as variables and combining indicators of county scale structure in an attempt to find key scale structure elements and representative indicators that affect the carbon emission intensity of counties. By using data from 140 counties in Northeast China during the period of 2015–2020, an empirical study was conducted on population shrinkage clustering, county size structure, and carbon emission intensity. The results show that: (1) population shrinkage significantly increases the carbon intensity of counties, but the contribution of population shrinkage to carbon intensity is scale-heterogeneous, the contribution effect decreases with population size, and the effect on large counties is minimal; (2) population size and industrial structure are the main factors influencing carbon intensity in counties, both have a negative linear elasticity relationship, and GDP per capita is not included in the overall model and is only significant in large counties; (3) the relationship between total construction land and carbon intensity is an inverted U-shaped Kuznets curve, with a critical value of 30 km2, and the total construction land in most counties is below or close to the critical value.

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“…Therefore, it was very interesting to take this factor into consideration, in order to examine its influence on the intention to continue to use the Metro, which is considered a sustainable travelling mode. The results revealed that social influence had a significant impact on the intention to continue to use the Metro, consistent with prior findings [12,15,[141][142][143][144], where social influence was found to have a significant effect on individual intention behavior. Thus, as the findings emphasized the significant impact of social influence on intention to continue to use the Metro, there is a dire need to organize public service campaigns in order to generate positive word-of-mouth regarding continuing to use the Metro, as eco-friendly public transportation.…”

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