Matches in SemOpenAlex for { <https://semopenalex.org/work/W2896640894> ?p ?o ?g. }
- W2896640894 endingPage "268" @default.
- W2896640894 startingPage "260" @default.
- W2896640894 abstract "As the largest carbon emitter in the world, China is under pressure in addressing carbon emission reduction. It is important for the country to understand the impact factors on emission so that proper mitigation measures can be taken. Previous studies have analyzed emission factors through classifying regions mainly by a single economic index or carbon index, whereas this study introduces a two-dimensional panel framework to classify regions. These two dimensions are per capita GDP and carbon intensity. Based on this panel framework, the 30 provinces in China are classified into four regions, namely, high economy and high carbon intensity (Region I), high economy and low carbon intensity (Region II), low economy and low carbon intensity (Region III), and low economy and high carbon intensity (Region IV). The STIRPAT (stochastic impacts by regression on population, affluence, and technology) model and the panel cointegration approach are employed to analyze the impacts of various carbon emission factors in the four classified regions. The results show that the most significant factor for Region I is industrial structure, and that for Regions II, III and IV is energy intensity, population size and per capita GDP respectively. The research results can help decision makers adopt effective emission control measures. The two-dimensional panel framework introduced can be extended for application to examine the emission impact factors at regional or national levels in other countries." @default.
- W2896640894 created "2018-10-26" @default.
- W2896640894 creator A5006161546 @default.
- W2896640894 creator A5008648662 @default.
- W2896640894 creator A5011359160 @default.
- W2896640894 creator A5025468066 @default.
- W2896640894 creator A5038393671 @default.
- W2896640894 creator A5063963237 @default.
- W2896640894 date "2019-02-01" @default.
- W2896640894 modified "2023-10-10" @default.
- W2896640894 title "A new panel for analyzing the impact factors on carbon emission: A regional perspective in China" @default.
- W2896640894 cites W1231828537 @default.
- W2896640894 cites W1748265057 @default.
- W2896640894 cites W1964110438 @default.
- W2896640894 cites W1975877897 @default.
- W2896640894 cites W1976386631 @default.
- W2896640894 cites W1977933102 @default.
- W2896640894 cites W1978775682 @default.
- W2896640894 cites W1986710973 @default.
- W2896640894 cites W1990774704 @default.
- W2896640894 cites W1991273770 @default.
- W2896640894 cites W1997466867 @default.
- W2896640894 cites W1998601391 @default.
- W2896640894 cites W2001468018 @default.
- W2896640894 cites W2011992621 @default.
- W2896640894 cites W2024444353 @default.
- W2896640894 cites W2046510663 @default.
- W2896640894 cites W2052459335 @default.
- W2896640894 cites W2052749546 @default.
- W2896640894 cites W2056375010 @default.
- W2896640894 cites W2063025212 @default.
- W2896640894 cites W2072355787 @default.
- W2896640894 cites W2072512206 @default.
- W2896640894 cites W2079821800 @default.
- W2896640894 cites W2084251194 @default.
- W2896640894 cites W2086861737 @default.
- W2896640894 cites W2106786998 @default.
- W2896640894 cites W2110726809 @default.
- W2896640894 cites W2114905470 @default.
- W2896640894 cites W2125331782 @default.
- W2896640894 cites W2143391261 @default.
- W2896640894 cites W2151785299 @default.
- W2896640894 cites W2160591211 @default.
- W2896640894 cites W2189649359 @default.
- W2896640894 cites W2201825945 @default.
- W2896640894 cites W2226500478 @default.
- W2896640894 cites W2231217266 @default.
- W2896640894 cites W2237627653 @default.
- W2896640894 cites W2320707436 @default.
- W2896640894 cites W2330374156 @default.
- W2896640894 cites W2476635234 @default.
- W2896640894 cites W2508486740 @default.
- W2896640894 cites W2511286811 @default.
- W2896640894 cites W2512371035 @default.
- W2896640894 cites W2519462825 @default.
- W2896640894 cites W2519699527 @default.
- W2896640894 cites W2524762728 @default.
- W2896640894 cites W2528320366 @default.
- W2896640894 cites W2547026077 @default.
- W2896640894 cites W2553637734 @default.
- W2896640894 cites W2562080476 @default.
- W2896640894 cites W2574231440 @default.
- W2896640894 cites W2590599534 @default.
- W2896640894 cites W2593197234 @default.
- W2896640894 cites W2596714487 @default.
- W2896640894 cites W2694196478 @default.
- W2896640894 cites W2743356708 @default.
- W2896640894 cites W2753908538 @default.
- W2896640894 cites W2758397035 @default.
- W2896640894 cites W2765499961 @default.
- W2896640894 cites W2777876458 @default.
- W2896640894 cites W2793677260 @default.
- W2896640894 cites W2797455433 @default.
- W2896640894 cites W2800860742 @default.
- W2896640894 cites W2883424236 @default.
- W2896640894 cites W868748634 @default.
- W2896640894 cites W891562090 @default.
- W2896640894 doi "https://doi.org/10.1016/j.ecolind.2018.10.006" @default.
- W2896640894 hasPublicationYear "2019" @default.
- W2896640894 type Work @default.
- W2896640894 sameAs 2896640894 @default.
- W2896640894 citedByCount "50" @default.
- W2896640894 countsByYear W28966408942019 @default.
- W2896640894 countsByYear W28966408942020 @default.
- W2896640894 countsByYear W28966408942021 @default.
- W2896640894 countsByYear W28966408942022 @default.
- W2896640894 countsByYear W28966408942023 @default.
- W2896640894 crossrefType "journal-article" @default.
- W2896640894 hasAuthorship W2896640894A5006161546 @default.
- W2896640894 hasAuthorship W2896640894A5008648662 @default.
- W2896640894 hasAuthorship W2896640894A5011359160 @default.
- W2896640894 hasAuthorship W2896640894A5025468066 @default.
- W2896640894 hasAuthorship W2896640894A5038393671 @default.
- W2896640894 hasAuthorship W2896640894A5063963237 @default.
- W2896640894 hasConcept C104779481 @default.
- W2896640894 hasConcept C105795698 @default.
- W2896640894 hasConcept C11413529 @default.
- W2896640894 hasConcept C121332964 @default.