FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4281622969> ?p ?o ?g. }

• W4281622969 endingPage "102720" @default.
• W4281622969 startingPage "102720" @default.
• W4281622969 abstract "One of the primary facets of the research being conducted in the domain of sustainability is the green growth of economies. Green growth relates to the sustainable growth of economic systems with consideration and focus on the environmental sustenance. This area of research is imperative due to the deteriorating condition of climate and environment, which is one of the main challenges presented to the worldview of sustainability at present. Thus, extending this line of research, the present study investigated the association between the resource usage of natural resources of energy (coal, gas, oil) and the green growth of China along with the moderation of green trade for the period 1980–2020. The techniques of Zivot–Andrew unit root test was applied for studying the stationary properties of the series. The cointegration was examined through the ARDL bounds test and was found to be strong. Also, the long run associations between the factors with green growth were studied through the applications of the dynamic OLS (DOLS), fully modified ordinary least square (FMOLS), and Canonical Cointegrating Regression (CCR). The empirical results reveal that gas and coal are significant for the green growth of Chinese economy, however, negative associations between gas and green growth were found. The study also found the significant moderating role of “green trade” in the association between “natural resources” and “green growth,” however, the moderation of green trade resulted in negative moderation for the relationships between oil, gas and green growth and were positive for coal and green growth. The study suggests policies for the green environment and economy of China and suggests techniques be undertaken to reduce the usage of natural energy resources with the view of improving the green growth of China. • Green growth relates to the sustainable growth of economic systems with consideration and focus on the environmental sustenance. • Applications of the dynamic OLS (DOLS), fully modified ordinary least square (FMOLS), and Canonical Cointegrating Regression (CCR) are used. • Gas and coal are significant for the green growth of Chinese economy. • Green trade have moderating role in the association between natural resources and green growth. • Techniques suggest to reduce the usage of natural energy resources with the view of improving the green growth of China." @default.
• W4281622969 created "2022-06-13" @default.
• W4281622969 creator A5016093986 @default.
• W4281622969 date "2022-09-01" @default.
• W4281622969 modified "2023-10-01" @default.
• W4281622969 title "The impact of natural resources on green growth: The role of green trade" @default.
• W4281622969 cites W1998384402 @default.
• W4281622969 cites W2003750580 @default.
• W4281622969 cites W2061462930 @default.
• W4281622969 cites W2065747393 @default.
• W4281622969 cites W2087341478 @default.
• W4281622969 cites W2118906937 @default.
• W4281622969 cites W2168808808 @default.
• W4281622969 cites W2169978457 @default.
• W4281622969 cites W2300426769 @default.
• W4281622969 cites W2548720051 @default.
• W4281622969 cites W2609274498 @default.
• W4281622969 cites W2621092515 @default.
• W4281622969 cites W2755312223 @default.
• W4281622969 cites W2773148899 @default.
• W4281622969 cites W2784553750 @default.
• W4281622969 cites W2789346375 @default.
• W4281622969 cites W2799888275 @default.
• W4281622969 cites W2806918407 @default.
• W4281622969 cites W2886873246 @default.
• W4281622969 cites W2887178505 @default.
• W4281622969 cites W2889953410 @default.
• W4281622969 cites W2891151785 @default.
• W4281622969 cites W2895002627 @default.
• W4281622969 cites W2897358992 @default.
• W4281622969 cites W2906026421 @default.
• W4281622969 cites W2909526690 @default.
• W4281622969 cites W2919113421 @default.
• W4281622969 cites W2937421004 @default.
• W4281622969 cites W2938807295 @default.
• W4281622969 cites W2944640450 @default.
• W4281622969 cites W2949656921 @default.
• W4281622969 cites W2951816397 @default.
• W4281622969 cites W2952686683 @default.
• W4281622969 cites W2965071674 @default.
• W4281622969 cites W2975020366 @default.
• W4281622969 cites W2984862744 @default.
• W4281622969 cites W2998132720 @default.
• W4281622969 cites W2998428943 @default.
• W4281622969 cites W3004940704 @default.
• W4281622969 cites W3010500158 @default.
• W4281622969 cites W3013632702 @default.
• W4281622969 cites W3013883295 @default.
• W4281622969 cites W3017807472 @default.
• W4281622969 cites W3021098770 @default.
• W4281622969 cites W3024733965 @default.
• W4281622969 cites W3031252171 @default.
• W4281622969 cites W3036768335 @default.
• W4281622969 cites W3039409917 @default.
• W4281622969 cites W3041688080 @default.
• W4281622969 cites W3081349475 @default.
• W4281622969 cites W3081366122 @default.
• W4281622969 cites W3091712137 @default.
• W4281622969 cites W3098594976 @default.
• W4281622969 cites W3111412279 @default.
• W4281622969 cites W3113739555 @default.
• W4281622969 cites W3180358324 @default.
• W4281622969 cites W3200007376 @default.
• W4281622969 cites W3207336084 @default.
• W4281622969 cites W4237186651 @default.
• W4281622969 cites W836905562 @default.
• W4281622969 doi "https://doi.org/10.1016/j.resourpol.2022.102720" @default.
• W4281622969 hasPublicationYear "2022" @default.
• W4281622969 type Work @default.
• W4281622969 citedByCount "18" @default.
• W4281622969 countsByYear W42816229692022 @default.
• W4281622969 countsByYear W42816229692023 @default.
• W4281622969 crossrefType "journal-article" @default.
• W4281622969 hasAuthorship W4281622969A5016093986 @default.
• W4281622969 hasConcept C10138342 @default.
• W4281622969 hasConcept C134632028 @default.
• W4281622969 hasConcept C145162277 @default.
• W4281622969 hasConcept C149782125 @default.
• W4281622969 hasConcept C162324750 @default.
• W4281622969 hasConcept C166957645 @default.
• W4281622969 hasConcept C175605778 @default.
• W4281622969 hasConcept C18903297 @default.
• W4281622969 hasConcept C195561663 @default.
• W4281622969 hasConcept C205649164 @default.
• W4281622969 hasConcept C21839126 @default.
• W4281622969 hasConcept C2776138137 @default.
• W4281622969 hasConcept C2778556080 @default.
• W4281622969 hasConcept C29985473 @default.
• W4281622969 hasConcept C47737302 @default.
• W4281622969 hasConcept C518851703 @default.
• W4281622969 hasConcept C552854447 @default.
• W4281622969 hasConcept C66204764 @default.
• W4281622969 hasConcept C86803240 @default.
• W4281622969 hasConcept C99656134 @default.
• W4281622969 hasConceptScore W4281622969C10138342 @default.
• W4281622969 hasConceptScore W4281622969C134632028 @default.
• W4281622969 hasConceptScore W4281622969C145162277 @default.
• W4281622969 hasConceptScore W4281622969C149782125 @default.

• next