@article{sun_research_2017,
	title = {Research on the influencing factors of reverse logistics carbon footprint under sustainable development},
	volume = {24},
	issn = {0944-1344, 1614-7499},
	url = {http://link.springer.com/10.1007/s11356-016-8140-9},
	doi = {10/gb46tm},
	abstract = {Abstract With the concerns of ecological and circular
economy along with sustainable development, reverse
logistics has attracted the attention of enterprise. How
to achieve sustainable development of reverse logistics
has important practical significance of enhancing low
carbon competitiveness. In this paper, the system bound-
ary of reverse logistics carbon footprint is presented.
Following the measurement of reverse logistics carbon
footprint and reverse logistics carbon capacity is provid-
ed. The influencing factors of reverse logistics carbon
footprint are classified into five parts such as intensity
of reverse logistics, energy structure, energy efficiency,
reverse logistics output, and product remanufacturing
rate. The quantitative research methodology using ADF
test, Johansen co-integration test, and impulse response
is utilized to interpret the relationship between reverse
logistics carbon footprint and the influencing factors
more accurately. This research finds that energy effi-
ciency, energy structure, and product remanufacturing
rate are more capable of inhibiting reverse logistics car-
bon footprint. The statistical approaches will help prac-
titioners in this field to structure their reverse logistics
activities and also help academics in developing better
decision models to reduce reverse logistics carbon
footprint.

Keywords Reverse logistics . Carbon footprint . Carbon
capacity . Influencing factors . Johansen co-integration test .
Impulse response . Sustainable development},
	language = {en},
	number = {29},
	urldate = {2022-03-16},
	journal = {Environmental Science and Pollution Research},
	author = {Sun, Qiang},
	month = oct,
	year = {2017},
	pages = {22790--22798},
}

{"_id":"oE6TvbcQrpx4AQCfj","bibbaseid":"sun-researchontheinfluencingfactorsofreverselogisticscarbonfootprintundersustainabledevelopment-2017","author_short":["Sun, Q."],"bibdata":{"bibtype":"article","type":"article","title":"Research on the influencing factors of reverse logistics carbon footprint under sustainable development","volume":"24","issn":"0944-1344, 1614-7499","url":"http://link.springer.com/10.1007/s11356-016-8140-9","doi":"10/gb46tm","abstract":"Abstract With the concerns of ecological and circular economy along with sustainable development, reverse logistics has attracted the attention of enterprise. How to achieve sustainable development of reverse logistics has important practical significance of enhancing low carbon competitiveness. In this paper, the system bound- ary of reverse logistics carbon footprint is presented. Following the measurement of reverse logistics carbon footprint and reverse logistics carbon capacity is provid- ed. The influencing factors of reverse logistics carbon footprint are classified into five parts such as intensity of reverse logistics, energy structure, energy efficiency, reverse logistics output, and product remanufacturing rate. The quantitative research methodology using ADF test, Johansen co-integration test, and impulse response is utilized to interpret the relationship between reverse logistics carbon footprint and the influencing factors more accurately. This research finds that energy effi- ciency, energy structure, and product remanufacturing rate are more capable of inhibiting reverse logistics car- bon footprint. The statistical approaches will help prac- titioners in this field to structure their reverse logistics activities and also help academics in developing better decision models to reduce reverse logistics carbon footprint. Keywords Reverse logistics . Carbon footprint . Carbon capacity . Influencing factors . Johansen co-integration test . Impulse response . Sustainable development","language":"en","number":"29","urldate":"2022-03-16","journal":"Environmental Science and Pollution Research","author":[{"propositions":[],"lastnames":["Sun"],"firstnames":["Qiang"],"suffixes":[]}],"month":"October","year":"2017","pages":"22790–22798","bibtex":"@article{sun_research_2017,\n\ttitle = {Research on the influencing factors of reverse logistics carbon footprint under sustainable development},\n\tvolume = {24},\n\tissn = {0944-1344, 1614-7499},\n\turl = {http://link.springer.com/10.1007/s11356-016-8140-9},\n\tdoi = {10/gb46tm},\n\tabstract = {Abstract With the concerns of ecological and circular\neconomy along with sustainable development, reverse\nlogistics has attracted the attention of enterprise. How\nto achieve sustainable development of reverse logistics\nhas important practical significance of enhancing low\ncarbon competitiveness. In this paper, the system bound-\nary of reverse logistics carbon footprint is presented.\nFollowing the measurement of reverse logistics carbon\nfootprint and reverse logistics carbon capacity is provid-\ned. The influencing factors of reverse logistics carbon\nfootprint are classified into five parts such as intensity\nof reverse logistics, energy structure, energy efficiency,\nreverse logistics output, and product remanufacturing\nrate. The quantitative research methodology using ADF\ntest, Johansen co-integration test, and impulse response\nis utilized to interpret the relationship between reverse\nlogistics carbon footprint and the influencing factors\nmore accurately. This research finds that energy effi-\nciency, energy structure, and product remanufacturing\nrate are more capable of inhibiting reverse logistics car-\nbon footprint. The statistical approaches will help prac-\ntitioners in this field to structure their reverse logistics\nactivities and also help academics in developing better\ndecision models to reduce reverse logistics carbon\nfootprint.\n\nKeywords Reverse logistics . Carbon footprint . Carbon\ncapacity . Influencing factors . Johansen co-integration test .\nImpulse response . Sustainable development},\n\tlanguage = {en},\n\tnumber = {29},\n\turldate = {2022-03-16},\n\tjournal = {Environmental Science and Pollution Research},\n\tauthor = {Sun, Qiang},\n\tmonth = oct,\n\tyear = {2017},\n\tpages = {22790--22798},\n}\n\n","author_short":["Sun, Q."],"key":"sun_research_2017","id":"sun_research_2017","bibbaseid":"sun-researchontheinfluencingfactorsofreverselogisticscarbonfootprintundersustainabledevelopment-2017","role":"author","urls":{"Paper":"http://link.springer.com/10.1007/s11356-016-8140-9"},"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/MichelotFlorent","dataSources":["FYDkaYvXGKXpPbdLN"],"keywords":[],"search_terms":["research","influencing","factors","reverse","logistics","carbon","footprint","under","sustainable","development","sun"],"title":"Research on the influencing factors of reverse logistics carbon footprint under sustainable development","year":2017}