Nowadays,　the　rise　of　the　Internet　of　Vehicles　(IoV)　has　led　to　the　rapid　development　of　smart　transportation.　To　increase　the　computing　capacity　of　mobile　vehicles　and　decrease　the　content　delivery　latency　of　suppliers,　mobile　edge　computing　(MEC)　is　considered　as　an　indispensable　solution.　However,　there　are　some　essential　issues　to　be　considered:　1)　security　and　privacy　of　data　transmission,　and　2)　reasonable　resource　allocation　for　collaborative　computing　and　caching.　In　this　paper,　to　solve　above　issues,　blockchain　technology　is　adopted　to　ensure　reliable　transmission　and　interaction　of　data.　Meanwhile,　we　develop　an　intelligent　resource　framework　about　computing　and　caching　for　blockchain-enabled　MEC　systems　in　IoV.　Through　jointly　considering　and　optimizing　offloading　decision　of　computation　task　carried　by　vehicle,　caching　decision,　the　number　of　offloaded　consensus　nodes,　block　interval　and　block　size,　the　energy　consumption　and　computation　overheads　can　be　decreased,　and　the　data　throughput　of　the　blockchain　can　be　increased　significantly.　Moreover,　the　proposed　optimization　problem　is　modeled　and　formulated　as　a　Markov　decision　process.　Facing　the　complexity　and　dynamic　of　resource　allocation,　the　asynchronous　advantage　actor-critic　approach　is　considered　and　applied　to　solve　the　optimization　problem.　Experiment　results　demonstrate　that　the　advantages　of　the　proposed　optimization　scheme　are　obvious　compared　with　other　existing　schemes.