With　the　development　of　agricultural　modernization,　the　carbon　emissions　caused　by　the　agricultural　sector　have　attracted　academic　and　practitioners’　circles’　attention.　This　research　selected　the　typical　agricultural　development　province　in　China,　Fujian,　as　the　research　object.　Based　on　the　carbon　emission　sources　of　five　main　aspects　in　agricultural　production,　this　paper　applied　the　latest　carbon　emission　coefficients　released　by　Intergovernmental　Panel　on　Climate　Change　of　the　UN　(IPCC)　and　World　Resources　Institute　(WRI),　then　used　the　ordered　weighted　aggregation　(OWA)　operator　to　remeasure　agricultural　carbon　emissions　in　Fujian　from　2008–2017.　The　results　showed　that　the　amount　of　agricultural　carbon　emissions　in　Fujian　was　5541.95　×　103　tonnes　by　2017,　which　means　the　average　amount　of　agricultural　carbon　emissions　in　2017　was　615.78　×　103　tonnes,　with　a　decrease　of　13.13%　compared　with　that　in　2008.　In　terms　of　spatial　distribution,　agricultural　carbon　emissions　in　the　eastern　coastal　areas　were　less　than　those　in　the　inland　regions.　Among　them,　the　highest　agricultural　carbon　emissions　were　in　Zhangzhou,　Nanping,　and　Sanming,　while　the　lowest　were　in　Xiamen,　Putian,　and　Ningde.　In　addition,　this　paper　selected　six　influencing　variables,　the　research　and　development　intensity,　the　proportion　of　agricultural　labor　force,　the　added　value　of　agriculture,　the　agricultural　industrial　structure,　the　per　capita　disposable　income　of　rural　residents,　and　per　capita　arable　land　area,　to　clarify　further　the　impacts　on　agricultural　carbon　emissions.　Finally,　geographically-　and　temporally-weighted　regression　(GTWR)　was　used　to　measure　the　direction　and　degree　of　the　influences　of　factors　on　agricultural　carbon　emission.　The　conclusion　showed　that　the　regression　coefficients　of　each　selected　factor　in　cities　were　positive　or　negative,　which　indicated　that　the　impacts　on　agricultural　carbon　emission　had　the　characteristics　of　geospatial　nonstationarity.　©　2019　by　the　authors