社会融资规模增量统计表 | |||||||||||
Aggregate Financing to the Real Economy (Flow) | |||||||||||
单位:亿元人民币 | |||||||||||
Unit: 100 million Yuan | |||||||||||
项目 Items 月份 Month | 其中 Of which | ||||||||||
社会融资规模增量 | 人民币贷款 | 外币贷款(折合人民币) | 委托贷款 | 信托贷款 | 未贴现银行承兑汇票 | 企业债券 | 政府债券 | 非金融企业境内股票融资 | 存款类金融机构资产支持证券 | 贷款核销 | |
AFRE(flow) | RMB loans | Foreign currency-denominated loans | Entrusted loans | Trust loans | Undiscounted bankers' acceptances | Net financing of corporate bonds | Government bonds | Equity financing on the domestic stock market by non-financial enterprises | Asset-backed securities of depository financial institutions | Loans written off | |
(RMB equivalent) | |||||||||||
2019.01 | 46791 | 35668 | 343 | -699 | 345 | 3787 | 4829 | 1700 | 289 | -466 | 249 |
2019.02 | 9665 | 7641 | -105 | -508 | -37 | -3103 | 875 | 4347 | 119 | -14 | 201 |
2019.03 | 29602 | 19584 | 3 | -1070 | 528 | 1365 | 3546 | 3412 | 122 | 261 | 1227 |
2019.04 | 16710 | 8733 | -330 | -1197 | 129 | -357 | 3949 | 4433 | 262 | 243 | 316 |
2019.05 | 17124 | 11855 | 191 | -631 | -52 | -768 | 1033 | 3857 | 259 | 383 | 392 |
2019.06 | 26243 | 16737 | -4 | -827 | 15 | -1311 | 1439 | 6867 | 153 | 607 | 1806 |
2019.07 | 12872 | 8086 | -221 | -987 | -676 | -4562 | 2944 | 6427 | 593 | 286 | 244 |
2019.08 | 21956 | 13045 | -247 | -513 | -658 | 157 | 3384 | 5059 | 256 | 269 | 351 |
2019.09 | 25142 | 17612 | -440 | -22 | -672 | -431 | 2431 | 3777 | 289 | 284 | 1692 |
2019.10 | 8680 | 5470 | -10 | -667 | -624 | -1053 | 2032 | 1871 | 180 | 623 | 416 |
2019.11 | 19937 | 13633 | -249 | -959 | -673 | 570 | 3330 | 1716 | 524 | 693 | 639 |
2019.12 | 21030 | 10770 | -205 | -1316 | -1092 | 951 | 2625 | 3738 | 432 | 865 | 3018 |
注: 1.社会融资规模增量是指一定时期内实体经济从金融体系获得的资金额。 数据来源于中国人民银行、中国银行保险监督管理委员会、中国证券监督管理委员会、中央国债登记结算有限责任公司和银行间市场交易商协会等部门。 | |||||||||||
AFRE(flow) refers to the total volume of financing provided by the financial system to the real economy during a certain period of time. In the calculation of AFRE, data are from the PBC, CBIRC, CSRC, CCDC and NAFMII. | |||||||||||
2.2019年12月起,人民银行进一步完善社会融资规模统计,将“国债”和“地方政府一般债券”纳入社会融资规模统计,与原有“地方政府专项债券”合并为“政府债券”指标。指标数值为托管机构的托管面值。历史数据追溯到2017年1月份(详细数据见表1和表2)。 | |||||||||||
Since December 2019,the People’s Bank of China made further efforts to improve the statistical method of AFRE. "Treasury Bonds" and "Local Government General Bonds" were newly introduced into AFRE and merged with "Local Government Special Bonds" into "Government Bonds " ,which is recorded at face value at depositories. The historical data were traced back to January 2017 (see Chart 1 and Chart 2 for detailed data). | |||||||||||
3.2019年9月起,人民银行完善“社会融资规模”中的“企业债券”统计,将“交易所企业资产支持证券”纳入“企业债券”指标。 | |||||||||||
Since September 2019, the People’s Bank of China improved the statistics of "Net Financing of Corporate Bonds" in AFRE, and incorporated "Asset-backed Securities of Non-Financial Enterprises" into "Net Financing of Corporate Bonds". | |||||||||||
4.2018年9月起,人民银行将“地方政府专项债券”纳入社会融资规模统计。 | |||||||||||
Since September 2018, the People’s Bank of China incorporated "Local Government Special Bonds" into AFRE. | |||||||||||
5.2018年7月起,人民银行完善社会融资规模统计方法,将“存款类金融机构资产支持证券”和“贷款核销”纳入社会融资规模统计,在“其他融资”项下单独列示, | |||||||||||
Since July 2018, the People’s Bank of China improved the statistical method of AFRE, and incorporated "Asset-backed Securities of Depository Financial Institutions" and "Loans Written off" into AFRE, which is reflected as a sub-item of "Other Financing". | |||||||||||
表1:2017年以来各月完善后的社会融资规模增量数据 | |||||||||||
Chart1: the Adjusted Scale of AFRE (Flow) for Months since 2017 | |||||||||||
单位:亿元人民币 | |||||||||||
Unit: 100 million Yuan | |||||||||||
月份 Month | 社会融资规模当月增量 AFRE(flow) | 其中 Of which | |||||||||
人民币贷款 RMB loans | 外币贷款(折合人民币)Foreign currency-denominated loans(RMB equivalent) | 委托贷款 Entrusted loans | 信托贷款 Trust loans | 未贴现银行承兑汇票 Undiscounted bankers' acceptances | 企业债券 Net financing of corporate bonds | 政府债券 Government bonds | 非金融企业境内股票融资 Equity financing on the domestic stock market by non-financial enterprises | 存款类金融机构资产支持证券 Asset-backed securities of depository financial institutions | 贷款核销 Loans written off | ||
2017.01 | 37720 | 23133 | 126 | 3142 | 3128 | 6130 | -510 | 665 | 1225 | -129 | 253 |
2017.02 | 11055 | 10317 | 368 | 1181 | 1026 | -1719 | -899 | -191 | 570 | -10 | 149 |
2017.03 | 25472 | 11586 | 288 | 2043 | 3020 | 2390 | 264 | 3230 | 800 | 164 | 846 |
2017.04 | 19559 | 10806 | -283 | -48 | 1381 | 345 | 628 | 5939 | 769 | -505 | 210 |
2017.05 | 17812 | 11780 | -99 | -274 | 1791 | -1245 | -2365 | 6505 | 458 | 294 | 277 |
2017.06 | 25886 | 14474 | 73 | -26 | 2485 | -230 | -5 | 6571 | 487 | 113 | 1309 |
2017.07 | 21188 | 9152 | -213 | 187 | 1245 | -2037 | 2642 | 9472 | 536 | -505 | 205 |
2017.08 | 20486 | 11466 | -332 | -70 | 1218 | 242 | 1525 | 4420 | 653 | 446 | 250 |
2017.09 | 25439 | 11885 | -232 | 783 | 2362 | 784 | 1669 | 5486 | 519 | 324 | 1276 |
2017.10 | 15861 | 6635 | -44 | 108 | 1013 | 12 | 1628 | 4968 | 601 | 61 | 271 |
2017.11 | 22956 | 11428 | 198 | 306 | 1400 | 15 | 979 | 5979 | 1324 | 248 | 481 |
2017.12 | 18103 | 5769 | 169 | 661 | 2163 | 676 | 688 | 2759 | 817 | 1476 | 2059 |
2018.01 | 31417 | 26850 | 266 | -709 | 397 | 1437 | 1894 | 5 | 500 | -137 | 320 |
2018.02 | 12064 | 10199 | 86 | -750 | 674 | 106 | 734 | 175 | 379 | -146 | 261 |
2018.03 | 17091 | 11425 | 139 | -1850 | -343 | -323 | 3611 | 1816 | 404 | 387 | 1234 |
2018.04 | 22243 | 10987 | -26 | -1481 | -101 | 1454 | 4042 | 5303 | 533 | 821 | 259 |
2018.05 | 11234 | 11396 | -228 | -1570 | -936 | -1741 | -351 | 2728 | 438 | 377 | 479 |
2018.06 | 20373 | 16787 | -364 | -1642 | -1576 | -3649 | 1308 | 6509 | 258 | 272 | 1737 |
2018.07 | 18382 | 12861 | -773 | -950 | -1205 | -2744 | 2189 | 7998 | 175 | 123 | 176 |
2018.08 | 24078 | 13140 | -344 | -1207 | -685 | -779 | 3541 | 8651 | 141 | 501 | 377 |
2018.09 | 23061 | 14341 | -670 | -1432 | -890 | -548 | 15 | 9108 | 272 | 895 | 1615 |
2018.10 | 9538 | 7141 | -800 | -949 | -1366 | -453 | 1523 | 3032 | 176 | 188 | 446 |
2018.11 | 16127 | 12302 | -787 | -1310 | -455 | -127 | 3918 | -247 | 200 | 1157 | 729 |
2018.12 | 19311 | 9281 | -702 | -2210 | -488 | 1023 | 3895 | 3452 | 130 | 1503 | 2522 |
2019.01 | 46791 | 35668 | 343 | -699 | 345 | 3787 | 4829 | 1700 | 289 | -466 | 249 |
2019.02 | 9665 | 7641 | -105 | -508 | -37 | -3103 | 875 | 4347 | 119 | -14 | 201 |
2019.03 | 29602 | 19584 | 3 | -1070 | 528 | 1365 | 3546 | 3412 | 122 | 261 | 1227 |
2019.04 | 16710 | 8733 | -330 | -1197 | 129 | -357 | 3949 | 4433 | 262 | 243 | 316 |
2019.05 | 17124 | 11855 | 191 | -631 | -52 | -768 | 1033 | 3857 | 259 | 383 | 392 |
2019.06 | 26243 | 16737 | -4 | -827 | 15 | -1311 | 1439 | 6867 | 153 | 607 | 1806 |
2019.07 | 12872 | 8086 | -221 | -987 | -676 | -4562 | 2944 | 6427 | 593 | 286 | 244 |
2019.08 | 21956 | 13045 | -247 | -513 | -658 | 157 | 3384 | 5059 | 256 | 269 | 351 |
2019.09 | 25142 | 17612 | -440 | -22 | -672 | -431 | 2431 | 3777 | 289 | 284 | 1692 |
2019.10 | 8680 | 5470 | -10 | -667 | -624 | -1053 | 2032 | 1871 | 180 | 623 | 416 |
2019.11 | 19937 | 13633 | -249 | -959 | -673 | 570 | 3330 | 1716 | 524 | 693 | 639 |
2019.12 | 21030 | 10770 | -205 | -1316 | -1092 | 951 | 2625 | 3738 | 432 | 865 | 3018 |
表2:2017年以来各月完善后的社会融资规模增量占比数据 | |||||||||||
Chart2: the Adjusted Index Ratio of AFRE (Flow) for Months since 2017 | |||||||||||
单位:% | |||||||||||
Unit: % | |||||||||||
月份 Month | 社会融资规模当月增量 AFRE(flow) | 其中 Of which | |||||||||
人民币贷款 RMB loans | 外币贷款(折合人民币)Foreign currency-denominated loans(RMB equivalent) | 委托贷款 Entrusted loans | 信托贷款 Trust loans | 未贴现银行承兑汇票 Undiscounted bankers' acceptances | 企业债券 Net financing of corporate bonds | 政府债券 Government bonds | 非金融企业境内股票融资 Equity financing on the domestic stock market by non-financial enterprises | 存款类金融机构资产支持证券 Asset-backed securities of depository financial institutions | 贷款核销 Loans written off | ||
2017.01 | 100 | 61.3 | 0.3 | 8.3 | 8.3 | 16.3 | -1.4 | 1.8 | 3.2 | -0.3 | 0.7 |
2017.02 | 100 | 93.3 | 3.3 | 10.7 | 9.3 | -15.5 | -8.1 | -1.7 | 5.2 | -0.1 | 1.3 |
2017.03 | 100 | 45.5 | 1.1 | 8 | 11.9 | 9.4 | 1 | 12.7 | 3.1 | 0.6 | 3.3 |
2017.04 | 100 | 55.2 | -1.4 | -0.2 | 7.1 | 1.8 | 3.2 | 30.4 | 3.9 | -2.6 | 1.1 |
2017.05 | 100 | 66.1 | -0.6 | -1.5 | 10.1 | -7 | -13.3 | 36.5 | 2.6 | 1.6 | 1.6 |
2017.06 | 100 | 55.9 | 0.3 | -0.1 | 9.6 | -0.9 | 0 | 25.4 | 1.9 | 0.4 | 5.1 |
2017.07 | 100 | 43.2 | -1 | 0.9 | 5.9 | -9.6 | 12.5 | 44.7 | 2.5 | -2.4 | 1 |
2017.08 | 100 | 56 | -1.6 | -0.3 | 5.9 | 1.2 | 7.4 | 21.6 | 3.2 | 2.2 | 1.2 |
2017.09 | 100 | 46.7 | -0.9 | 3.1 | 9.3 | 3.1 | 6.6 | 21.6 | 2 | 1.3 | 5 |
2017.10 | 100 | 41.8 | -0.3 | 0.7 | 6.4 | 0.1 | 10.3 | 31.3 | 3.8 | 0.4 | 1.7 |
2017.11 | 100 | 49.8 | 0.9 | 1.3 | 6.1 | 0.1 | 4.3 | 26 | 5.8 | 1.1 | 2.1 |
2017.12 | 100 | 31.9 | 0.9 | 3.7 | 11.9 | 3.7 | 3.8 | 15.2 | 4.5 | 8.2 | 11.4 |
2018.01 | 100 | 85.5 | 0.8 | -2.3 | 1.3 | 4.6 | 6 | 0 | 1.6 | -0.4 | 1 |
2018.02 | 100 | 84.5 | 0.7 | -6.2 | 5.6 | 0.9 | 6.1 | 1.5 | 3.1 | -1.2 | 2.2 |
2018.03 | 100 | 66.8 | 0.8 | -10.8 | -2 | -1.9 | 21.1 | 10.6 | 2.4 | 2.3 | 7.2 |
2018.04 | 100 | 49.4 | -0.1 | -6.7 | -0.5 | 6.5 | 18.2 | 23.8 | 2.4 | 3.7 | 1.2 |
2018.05 | 100 | 101.4 | -2 | -14 | -8.3 | -15.5 | -3.1 | 24.3 | 3.9 | 3.4 | 4.3 |
2018.06 | 100 | 82.4 | -1.8 | -8.1 | -7.7 | -17.9 | 6.4 | 32 | 1.3 | 1.3 | 8.5 |
2018.07 | 100 | 70 | -4.2 | -5.2 | -6.6 | -14.9 | 11.9 | 43.5 | 1 | 0.7 | 1 |
2018.08 | 100 | 54.6 | -1.4 | -5 | -2.8 | -3.2 | 14.7 | 35.9 | 0.6 | 2.1 | 1.6 |
2018.09 | 100 | 62.2 | -2.9 | -6.2 | -3.9 | -2.4 | 0.1 | 39.5 | 1.2 | 3.9 | 7 |
2018.10 | 100 | 74.9 | -8.4 | -9.9 | -14.3 | -4.8 | 16 | 31.8 | 1.8 | 2 | 4.7 |
2018.11 | 100 | 76.3 | -4.9 | -8.1 | -2.8 | -0.8 | 24.3 | -1.5 | 1.2 | 7.2 | 4.5 |
2018.12 | 100 | 48.1 | -3.6 | -11.4 | -2.5 | 5.3 | 20.2 | 17.9 | 0.7 | 7.8 | 13.1 |
2019.01 | 100 | 76.2 | 0.7 | -1.5 | 0.7 | 8.1 | 10.3 | 3.6 | 0.6 | -1 | 0.5 |
2019.02 | 100 | 79.1 | -1.1 | -5.3 | -0.4 | -32.1 | 9.1 | 45 | 1.2 | -0.1 | 2.1 |
2019.03 | 100 | 66.2 | 0 | -3.6 | 1.8 | 4.6 | 12 | 11.5 | 0.4 | 0.9 | 4.1 |
2019.04 | 100 | 52.3 | -2 | -7.2 | 0.8 | -2.1 | 23.6 | 26.5 | 1.6 | 1.5 | 1.9 |
2019.05 | 100 | 69.2 | 1.1 | -3.7 | -0.3 | -4.5 | 6 | 22.5 | 1.5 | 2.2 | 2.3 |
2019.06 | 100 | 63.8 | 0 | -3.2 | 0.1 | -5 | 5.5 | 26.2 | 0.6 | 2.3 | 6.9 |
2019.07 | 100 | 62.8 | -1.7 | -7.7 | -5.3 | -35.4 | 22.9 | 49.9 | 4.6 | 2.2 | 1.9 |
2019.08 | 100 | 59.4 | -1.1 | -2.3 | -3 | 0.7 | 15.4 | 23 | 1.2 | 1.2 | 1.6 |
2019.09 | 100 | 70.1 | -1.8 | -0.1 | -2.7 | -1.7 | 9.7 | 15 | 1.2 | 1.1 | 6.7 |
2019.10 | 100 | 63 | -0.1 | -7.7 | -7.2 | -12.1 | 23.4 | 21.6 | 2.1 | 7.2 | 4.8 |
2019.11 | 100 | 68.4 | -1.3 | -4.8 | -3.4 | 2.9 | 16.7 | 8.6 | 2.6 | 3.5 | 3.2 |
2019.12 | 100 | 51.2 | -1 | -6.3 | -5.2 | 4.5 | 12.5 | 17.8 | 2.1 | 4.1 | 14.3 |