The　rapid　growth　of　fast　fashion　has　led　to　a　thriving　secondhand　clothing　market　over　the　past　decade,　presenting　both　challenges　and　opportunities　for　sustainable　energy　practices　in　the　fashion　industry.　However,　the　diverse　stances　adopted　by　developing　countries　on　importing　secondhand　clothing,　due　to　potential　environmental　threats　and　impacts　on　local　garment　manufacturing,　have　made　international　trade　relationships　increasingly　sensitive　and　fragile.　This　study　employs　complex　trade　network　analysis　and　temporal　exponential　random　graph　model　to　comprehensively　analyze　the　dynamic　evolution　and　driving　factors　of　the　global　secondhand　clothing　trade　network　(GSCTN)　from　1995　to　2022,　with　a　focus　on　its　implications　for　energy　consumption　and　sustainability.　The　findings　reveal　consistent　growth　and　significant　expansion　in　the　GSCTN,　with　developed　countries　like　the　United　States,　United　Kingdom,　and　Germany　remaining　major　exporters,　while　African　countries　such　as　Ghana　and　Kenya　have　become　primary　importers.　Notably,　Africa＇s　import　sources　have　gradually　shifted　from　Europe　to　Asia,　underscoring　a　trend　of　regionalization　that　may　impact　transportation-related　energy　consumption.　The　formation　and　evolution　of　the　GSCTN　are　shaped　by　its　endogenous　structure,　including　delayed　reciprocity,　transitivity,　and　stability,　as　well　as　factors　like　environmental　regulations,　industrialization　levels,　and　the　fast　fashion　industry.　Moreover,　countries　with　colonial　ties　or　regional　trade　agreements　are　more　likely　to　engage　in　secondhand　clothing　trade.　These　findings　provide　valuable　insights　for　policymakers　to　develop　effective　strategies　that　promote　sustainable　trade　practices,　support　the　transition　towards　a　circular　economy,　and　enhance　energy　efficiency　in　the　fashion　industry.