Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386283643> ?p ?o ?g. }
- W4386283643 endingPage "2207" @default.
- W4386283643 startingPage "2207" @default.
- W4386283643 abstract "Rapid urbanization and an increasing carbon footprint have underscored the need for sustainable practices in the construction industry. With the aim of prioritizing global sustainable development, the measurement of carbon emission efficiency in the construction industry (CEECI) has emerged as a critical indicator. Nevertheless, a comprehensive exploration of carbon emission efficiency within the Chinese construction sector remains limited, despite the pressing demand to mitigate carbon emissions. To address this research gap, this study aims to provide valuable policy recommendations for effectively reducing carbon emissions. We conducted a thorough assessment of both the total carbon emissions and the carbon emission intensity in 30 provinces and cities across China from 2010 to 2020. Utilizing the slacks-based measure (SBM) model with non-desired outputs, we evaluated the static CEECI, including the spatial correlation analysis and the evaluation of the carbon reduction potential in the construction industry (CRPCI). Additionally, the dynamic CEECI was quantified using the Malmquist–Luenberger (ML) index model, followed by an index decomposition analysis. The findings reveal several noteworthy insights: (1) There exists a positive correlation between carbon emissions in the construction industry and the economic scale. Generally, less developed areas (e.g., central and western regions of China) exhibit higher levels of carbon emission intensity (CEICI), while more developed areas (e.g., eastern regions of China) demonstrate lower levels of CEICI. (2) The CEECI across various provinces and cities demonstrates a clear spatial positive autocorrelation, while the CRPCI exhibits a negative correlation with the CEECI, with larger CRPCI values observed predominantly in western China. (3) Technological progress (MLTC) emerges as a crucial factor influencing the CEECI in our dynamic analysis. These findings offer valuable insights for policymakers to develop focused strategies to effectively mitigate carbon emissions nationwide." @default.
- W4386283643 created "2023-08-31" @default.
- W4386283643 creator A5002598359 @default.
- W4386283643 creator A5017196549 @default.
- W4386283643 creator A5032553098 @default.
- W4386283643 creator A5067737362 @default.
- W4386283643 creator A5071672663 @default.
- W4386283643 creator A5072710932 @default.
- W4386283643 date "2023-08-30" @default.
- W4386283643 modified "2023-10-02" @default.
- W4386283643 title "Evaluation of Carbon Emission Efficiency in the Construction Industry Based on the Super-Efficient Slacks-Based Measure Model: A Case Study at the Provincial Level in China" @default.
- W4386283643 cites W1026518777 @default.
- W4386283643 cites W1966215447 @default.
- W4386283643 cites W1989864366 @default.
- W4386283643 cites W2001805335 @default.
- W4386283643 cites W2006452883 @default.
- W4386283643 cites W2010101976 @default.
- W4386283643 cites W2030975834 @default.
- W4386283643 cites W2032076993 @default.
- W4386283643 cites W2033641399 @default.
- W4386283643 cites W2045426633 @default.
- W4386283643 cites W2058848794 @default.
- W4386283643 cites W2091520404 @default.
- W4386283643 cites W2151540204 @default.
- W4386283643 cites W2167125755 @default.
- W4386283643 cites W2205393352 @default.
- W4386283643 cites W2330374156 @default.
- W4386283643 cites W2408795588 @default.
- W4386283643 cites W2506753585 @default.
- W4386283643 cites W2513000544 @default.
- W4386283643 cites W2570842166 @default.
- W4386283643 cites W2606445023 @default.
- W4386283643 cites W2734199432 @default.
- W4386283643 cites W2740846450 @default.
- W4386283643 cites W2743485020 @default.
- W4386283643 cites W2784198006 @default.
- W4386283643 cites W2793753958 @default.
- W4386283643 cites W2800450356 @default.
- W4386283643 cites W2805741010 @default.
- W4386283643 cites W2808552269 @default.
- W4386283643 cites W2809683092 @default.
- W4386283643 cites W2884364575 @default.
- W4386283643 cites W2901399666 @default.
- W4386283643 cites W2903947266 @default.
- W4386283643 cites W2905339953 @default.
- W4386283643 cites W2912270075 @default.
- W4386283643 cites W2941305188 @default.
- W4386283643 cites W2971444586 @default.
- W4386283643 cites W2980662596 @default.
- W4386283643 cites W2997200238 @default.
- W4386283643 cites W3020920568 @default.
- W4386283643 cites W3082976850 @default.
- W4386283643 cites W3084141355 @default.
- W4386283643 cites W3102618170 @default.
- W4386283643 cites W3120577603 @default.
- W4386283643 cites W3134130052 @default.
- W4386283643 cites W3157286952 @default.
- W4386283643 cites W3178906287 @default.
- W4386283643 cites W3185762508 @default.
- W4386283643 cites W3189383111 @default.
- W4386283643 cites W3193721720 @default.
- W4386283643 cites W3213785866 @default.
- W4386283643 cites W3215445526 @default.
- W4386283643 cites W4205245734 @default.
- W4386283643 cites W4206151987 @default.
- W4386283643 cites W4206229383 @default.
- W4386283643 cites W4207018384 @default.
- W4386283643 cites W4221097610 @default.
- W4386283643 cites W4283161543 @default.
- W4386283643 cites W4295064581 @default.
- W4386283643 cites W4295814205 @default.
- W4386283643 cites W4300543912 @default.
- W4386283643 cites W4308834490 @default.
- W4386283643 cites W4312160297 @default.
- W4386283643 cites W4315780984 @default.
- W4386283643 cites W4317376832 @default.
- W4386283643 cites W4321792555 @default.
- W4386283643 cites W746111072 @default.
- W4386283643 doi "https://doi.org/10.3390/buildings13092207" @default.
- W4386283643 hasPublicationYear "2023" @default.
- W4386283643 type Work @default.
- W4386283643 citedByCount "0" @default.
- W4386283643 crossrefType "journal-article" @default.
- W4386283643 hasAuthorship W4386283643A5002598359 @default.
- W4386283643 hasAuthorship W4386283643A5017196549 @default.
- W4386283643 hasAuthorship W4386283643A5032553098 @default.
- W4386283643 hasAuthorship W4386283643A5067737362 @default.
- W4386283643 hasAuthorship W4386283643A5071672663 @default.
- W4386283643 hasAuthorship W4386283643A5072710932 @default.
- W4386283643 hasBestOaLocation W43862836431 @default.
- W4386283643 hasConcept C104779481 @default.
- W4386283643 hasConcept C11413529 @default.
- W4386283643 hasConcept C119599485 @default.
- W4386283643 hasConcept C127413603 @default.
- W4386283643 hasConcept C134560507 @default.
- W4386283643 hasConcept C136764020 @default.
- W4386283643 hasConcept C140205800 @default.
- W4386283643 hasConcept C162324750 @default.