6-19 广东能源平衡表(实物量)-2017

中国城镇碳排放的区域差异和影响因素宋德勇;徐安【摘要】This paper amends IPCC's carbon emission coefficient of the electricity in 2006. Based on China's energy balance table, this paper calculates the urban carbon emissions in China's 30 provinces during 1995 and 2008. The regional difference of carbon emission is analyzed by the division of high, medium and low carbon emission zones, while the STIRPAT model is employed to its influential factors analysis. The results showed that urban emission, featured in rapid growth since 2001 particularly, played the dominant role of the total carbon emission. There is a strong regional difference of urban carbon emissions in China, for eight provinces of high-emission accounted for more than 50% of China's total urban carbon emissions in 2008. The per capita income of urban residents exerted the greatest impact on urban carbon emissions, followed by the urbanization rate and energy intensity. The population had relatively little influence on carbon emissions. There are differences among the influence on carbon emission as a result of urban average income increase, the progress of urbanization and energy intensity reduce. The intensity-affected difference constructs the main reason of regional difference in urban carbon emission. On the one hand, China's rising urban incomes and urbanization need some space for carbon emissions, while on the other hand, towns need to follow sustainable low-carbon development path.%修正了IPCC关于电力碳排放系数的计算方法,根据中国(省市)能源平衡表估算了1995-2008年中国30个省市的城镇碳排放,划分了高、中、低三个不同排放区域,分析城镇碳排放的区域差异,采用STIRPAT模型分析城镇碳排放及区域差异的影响因素.结果表明,城镇碳排放是中国碳排放的主体；城镇碳排放总体快速增长趋势,2001年后表现尤为明显;中国城镇碳排放存在很强的区域差异,2008年高排放区域的八个省市城镇碳排放总量占全国城镇碳排放总量的50％以上；城镇居民人均收入对城镇碳排放影响最大,然后是城镇化率和能源强度,人口总量对碳排放影响较小；城镇居民人均收入增加、城市化进程不断推进、能源强度降低对城镇碳排放的影响存在区域差异,这种影响强度的差异是导致城镇碳排放存在区域差异的主要原因.一方面,我国城镇居民收入的不断提高和城市化进程的推进决定了城镇发展需要一定的碳排放空间,另一方面,城镇需要走可持续的低碳发展道路.【期刊名称】《中国人口·资源与环境》【年(卷),期】2011(021)011【总页数】7页(P8-14)【关键词】城镇碳排放;区域差异;影响因素;STIRPAT模型【作者】宋德勇;徐安【作者单位】华中科技大学经济学院,湖北武汉430074;华中科技大学经济学院,湖北武汉430074【正文语种】中文【中图分类】X2;F29当前中国处于城市化快速发展时期，据统计，1995年中国城镇化率为29．04%，2008年中国城镇化率达到45．68%，增长了16．64%，年均增长1．28%。

火力发电厂碳排放测算方法和减排措施研究摘要：由于电力输送环节对碳排放的影响相对较小，因此当前对该环节考虑较少，但随电力跨区域输送不断增加，输送环节也应当引起注意。

本文主要分析火力发电厂碳排放测算方法和减排措施研究关键词：碳排放；火力发电；碳排放测算；碳减排分析引言电力行业是中国碳排放最多的行业，其碳排放量占全国碳排放总量的比重超过40%。

因此，我国碳排放控制应对电力行业重点关注。

研究我国电力碳排放的影响因素，解析各因素的贡献，能够为我国有效控制电力碳排放提供决策依据，对完成全国碳排放的控制目标也将具有重要意义。

1、数据来源与计算方法1.1数据来源电力生产量、电力消费量、火电生产量、用于火力发电的各种能源消耗量等能源数据来自2014—2017年《中国能源统计年鉴》。

《中国能源统计年鉴2014》对2000—2012年中国能源平衡表进行了修正，比之前出版的年鉴更具时效性。

GDP来自《中国统计年鉴2018》。

在省级层面，由于缺少香港、澳门、台湾及西藏的相关数据，因而研究对象为这4地之外的其他30个省、自治区、直辖市(总称为30个省份)。

1.2二氧化碳核算方法本文所称电力碳排放，指电力生产过程中发电机组排放的二氧化碳量。

水电、风电等可再生电力和核电(统称为非化石电力)生产环节的碳排放均视为0，因此电力碳排放即火力发电过程中的碳排放。

根据联合国政府间气候变化专门委员会发布的国家温室气体清单指南，核算方法如下。

C=ΣEiUi式中C为电力碳排放量;Ei为用于火力发电的第i种能源的消耗量(实物量)，来自能源统计年鉴中的能源平衡表;Ui为第i种能源的二氧化碳排放系数。

1.3LMDI分解模型LMDI法具有分解无残差、适用性强、结果易于解释等优势，已成为应用最广的指数分解方法。

LMDI分解模型的同时还指出，在分解总量指标时，加法LMDI模型为优选方法。

因此，本文选用该模型对我国电力碳排放量进行分解，涉及7个影响因素。

Ei为火力发电第i种能源的消耗量(标准量);E为火力发电的能源消费总量(标准量);P为火力发电量;Q为电力生产总量;F为电力终端消费量;G为GDP，折算为2005年不变价;fi等于Ci与Ei之比，体现能源的碳排放系数;ei等于Ei与E之比，体现火力发电的能源结构;h等于E与P之比，体现火电能耗强度;p等于P与Q之比，体现电力结构;q等于Q与F之比，体现发用电比，在国家层面其值越大则电力损失占比越大;g等于F与G之比，体现用电强度;G体现经济规模。

能源统计报表表式（一）综合年报表综合机关名称：能源平衡表(实物量)表 号：Ｐ３０３—１表 制表机关：国 家 统 计 局 文 号：国统字(2007)118号 有效期至：２００8年６月说明：1. 本表由各设区市统计局根据现有资料加工编制并负责报送。

第一部分“可供本地区消费的能源量”免报。

2.本表的统计范围为辖区内除军队系统以外的全部能源生产和消费活动。

3. .平衡关系：(1)列平衡关系：1（煤炭合计）=2+3+4+5；9（石油合计）=10+11+12+13+14+15+16+18。

的全部负值求和后取绝对值)+21+23；01（可供本地区消费的能源量）=02+03+04+05+06+07+08+09+10+11；12（加工转换投入产出）=13+14+15+16+17+18+20；23（终端消费量）=24+26+30+34；18≥19；21≥22；24≥25；26（第二产业）=27+29；27≥28；30（第三产业）=31+32+33；34（生活消费）=35+36。

4.报送时间为5月底前，报送方式为电子邮件。

说明：1.本表由P303-1表乘以折标准煤系数生成，由各设区市统计局负责报送。

2.平衡关系：列关系：23（合计当量值）=1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+18+20+22能源平衡表(标准量)２００ 年表 号：Ｐ３０３—４表 制表机关：国 家 统 计 局 文 号：国统字(2007)118号 有效期至：２００8年６月24（合计等价值）=1+2+3+4+5+6+7+8+9+10+11+12+13+14+15+16+17+19+21+22 上述两式不适用第38行消费合计。

行关系：37(平衡差额)=01+12-21-23； 01（可供本地区消费的能源量）=02+03+04+05+06+07+08+09+10+11；12（加工转换投入产出）=13+14+15+16+17+18+20；23（终端消费量）=24+26+30+34；18≥19；21≥22；24≥25；26（第二产业）=27+29；27≥28；30（第三产业）=31+32+33；34（生活消费）=35+36。

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2083.45160.06269.219.29 5.42167.03774.940 2198.1159.51268.1710.9621.9167.13802.76577.9812.34107.48.98480.95132.19 814.0315.3120.9937.19636.53131.83 1008.3315.93139.46140.97759.93139.2 1213.1220.98171.2199.11841.63142.82 1380.6423.6251.53268.481012.34189.25 1554.1233.55270.13322.911093.03191.76 1416.8731.8251.812.67 3.16198.241160.81140.74 1559.2147.95263.9313.21 3.05204.641348.43118.66 1411.8645.64161.149.1 1.97160.51277.7887.02 1800.6546.96161.0910.65 1.58302.261020.51411.07 1493.6649.48165.099.780.24246.5967.44411.36 1532.7446.84198.9210.440.86322.29869.24383.67 1635.445.02208.5714.890.9339.82895.58419.55 821.0235.91336.6132.991713.085216.67 1703.4165.3339.167.432209.165410.89 1959.9355.01555.5230.462451.815555.04 2298.8355.51613.8935.572452.245893.46 2440.8263.17591.7636.022616.575945.19 2795.1969.29708.5539.472766.115873.05 3162.8871.77664.8725.4711.7740.763815.556558.91 3386.3676.48229.649.0212.6446.84403.436705.53 3442.0880.69221.6810.7513.9358.184993.17000.91 3201.3181.2761.2246.1911.3853.054074.396480.07 3296.9481.38764.7251.9211.660.24083.526364.79 3187.5680.71782.0655.7514.2759.984470.366439.87 2993.0681.92842.8959.167.1847.424441.577057 249.997.8439.28 3.66582.68833.01 336.9214.3360.88 4.36872.62968.36 367.238.4455.77 4.351009.01954.94 408.4111.8553.93 4.21177.37986.08 541.8214.2667.50.61832.31915.24 593.114.7172.90.86845.39851.89 640.6114.4978.36 3.7 1.65994.12939.97 757.7112.73107.87 6.430.641079.151064.58 670.112.64115.357.320.721002.2977.05 719.7711.58122.099.2320.221019.851002.13 664.7213.71129.369.4112.061013.5999.37 532.8212.41116.947.759.12949.56960.34 477.69.59101.577.449.15973.871051.2997.34 3.0522.18.481405.611616.07 142.06 5.7139.288.261495.071785.01 210.7 4.8623.789.421621.281850.06 226.92 5.6727.6916.291592.861886.02 227.39.7428.0416.051394.341735.97 321.910.2726.1930.21744.282065.13 271.3313.2934.93 1.5323.5949.831891.842106.53 272.7518.2537.83 1.1918.7666.252128.122200.93 331.0921.3134.13 2.0413.6551.652252.232166.48 337.6521.0948.67 3.6612.143.271847.772127.02 194.0718.2842.08 2.6611.0155.62000.312141.97 185.6815.2831.77 2.1115.4150.082032.232123.9 184.199.5625.11 1.712.2731.971914.642210.42 590.6528.51103.9140.312080.171842.29 630.5128.11117.4240.22200.371967655.4623.3109.4738.372698.021832.84 729.724.04123.5554.872879.91719.57 714.4427.03122.6960.852882.531951.55 677.6823.2129.4773.682990.431937.18 717.0827.58106.0312.1916.83110.193297.932126.5 714.1527.9646.49108.723148.042134.69 673.1727.2435.44110.543259.992210.55 640.323.72232.1812.69 6.0890.543396.342611.76 654.8421.18236.0912.69 3.0385.332922242.07 630.7522.84241.8113.060.5282.823460.192526.11 596.9522.89227.5613.8578.373632.982474.23 801.0718.07116.3211.211999.111875.39 1593.1219.05133.3529.522218.512264.76 1844.4926.03243.1447.722249.642302.7 1884.725.03231.853.272354.432454 1888.9527.94286.4354.262401.662313.13 2221.224.26321.362.332639.872661.44 2663.4737.75544.7826.690.5339.062570.292998.55 3151.4744.0458.23100.3329.342572.542981.07 3170.150.0360.0214.420.1334.482934.512947.99 3190.6148.48813.4847.820.3130.452814.23394.78 3408.647.39927.5453.38 1.0237.293047.683511.4 3588.6143.09926.261.19 1.153.753087.83823.2 3840.2144.16985.9862.95 1.1462.263178.094092.04 149.21 2.41 1.2444.391692.091853.44 163.59 2.3310.15 4.731931.922113.04 317.76 2.26 4.690.071932.832114.73 326.4 2.3515.110.11976.532248.73 485.98 4.7319.580.512067.132287.35 504.51 4.7733.43 1.472311.892505.8 443.09 6.7287.67 5.640.18 2.292518.362835.41 470 6.9866.78 2.870.22 2.082708.392939.77 451.427.13152.668.950.22 1.882750.82732.59 446.18 6.94154.899.240.23 3.452813.922853.65 465.077167.4110.990.22 1.782781.412731.81 427.59 6.69152.6611.060.217.692970.212846.84 329.47 4.44103.429.680.1920.722909.032667.35 544.2913.490.1 2.7441.06419.79 538.3917.6731.7632.41476.35414.49 652.2216.8625.4532.11532.31445.4 809.722.844.6238.64563.09451.08 851.2224.86111.23577.98426.34 856.2828.190.317.93605.71454.13 910.1724.98100.41 1.0911.2614.2637.77477.57 948.1226.0313.388.43707.45484.13 996.4426.1418.24 3.4712.6410.12992.27421.38 1049.4125.6302.3618.6412.2711.861177.46551.67 1064.7324.63310.3318.1312.4611.121310.58749.22 1164.7725.03306.320.4111.389.251405.42690.59 1164.6428.66329.9523.939.8812.91452.14539.21 205.91 2.07807.14390.55 280.93 3.7655.91 4.65934.49348.4 299.59 3.3548.63 4.57972.34375.03 356.02 3.5661.48 5.251093.63352.33368.04 4.4666.04 4.471058.16310.96 653.08 4.4765.68 4.781104.3706.01 684.54 5.7160.91 4.30.63 6.51575.371141.74 728.65 6.1160.7 4.8 1.33 6.881649.37963 650 6.8885.97 5.39 1.018.271699.351104.55 655.38 5.8111.978.060.728.621809.011007.11 674.69 6.43126.948.960.612.322261.592044.45 625.6 5.3147.2211.220.7392111.972164.85 608.65 4.66146.3612.10.957.572074.672089.38 379.5710.4958.220.38398363.41 452.8610.6271.260.15511.29368.02 527.2613.8783.78 4.3544.73417.99 597.6515.18192.227.77544.04396.47 581.421.24172.339.32554.62411 710.4125.22254.869.71543.49451.68 772.6127.1648.56 1.51 1.7115.84713.89469.92 872.3220.7714.89 1.85 1.47 5.42727.32432.77 878.6622.521.39 4.210.27 3.05779.82508.22 854.9320.86342.3223.96 4.59919.12520.28 871.1323.98343.424.03 4.65940.66472.24 891.724.76340.2224.7612.161017.97555.96 839.8221.75339.1125.5413.661048.29725.75 1235.522.6318.9636.212021.483196.39 1992.5738.277.615.883279.653300.36 1714.0342.8661.9716.783444.233878.27 2593.4449.6335.0916.783685.064075.67 2611.935.5630.0554.973648.654626.97 2922.5734.3983.3766.854129.465142.9 3067.5851.29312.9 6.4884.284691.485593.4 3314.7765.72190.4520.0419.63114.275039.165826.37 3506.0570.28291.9825.4820.91115.135178.576271.5 3680.2970.92470.8931.5625.75114.83901.176766.01 3761.5178.32453.432.81 1.32129.243648.137815.9 3703.5574.8515.4339.48 4.1898.664042.328607.02 3718.3680.19562.239.3 5.12109.294361.210203.42 818.017.8975.1813.57825.48704.54 994.378.91110.9914.37902.12668.82 1192.2312.04105.21 3.27901.36696.57 1437.0516.6158.6857980.37713.83 1488.9828.83208.3720.191036.22704.22 1441.7431.07256.8633.361019.36785.82 1743.4461.92246.8 3.5996.1728.91334.16835.07 2052.6334.3229.6119.4836.841524.78874.63 2221.9326.44203.23 5.6291.8545.681692.61010.02 1817.4723.13264.268.4832.5165.491951.1963.57 2700.9432.44284.7911.939.9169.921978.04845.17 2843.5231.94286.9811.8445.9691.462100.77847.26 3045.954.63304.0112.9839.69127.342158.88707.29 560.3619.81 1.2620.471027.67754.01 685.4731.216 6.611252.95822.13 752.1322.524.7162.421387.95851.1 82027.6221.8533.821648.21910 952.2730.6632.5936.591807.53884.26 910.7634.951.644.961914.41946.61120.8339.58333.1518.248.1430.281760.321033.86 1172.7242.05360.0319.62 4.817.591851.581026.23 1113.8539.5338.7718.84 3.7412.961987.6947.74 1114.3938.47338.5819.54 3.78 4.392268.351176.72 1124.438.13330.6720.4149.142505.151290.87 1030.0137.8315.5320.290.5248.572551.161299.01 1095.3135.69316.2522.140.531.682529.391239.61 553.3710.897.578.1656.24615.79 756.5811.3126.3718.53858.04660.86 823.1212.8648.825.68908.45574.49 915.8914.382.6721.381017.12671.67 998.913.31150.4724.27935.91614.11 1011.9216.15165.7825.641042.19565.77 1089.1913.13173.0810.45 1.8824.651145.84587.6 851.6520.36188.139.94 2.124.431234.55766.03 1072.1314.79186.249.43 1.2825.761302.74926 1075.8214.91175.4510.890.0125.191520.2946.54 1040.2915.120.1524.091559.52801.03456.841.38 1145.0515.34181.9312.4424.341734.45878.46 960.519.56343.4511.8411844.2841.6 278.03 5.4669.35 2.74132.452391.35 300.16 4.3779.14 3.14968.122388.37 410.78 4.12106.53 3.385224.172805.71 460.97 3.19108.56 2.385354.82940.1 449.6 3.82114 6.6253513046.21 466.43 3.92114.289.785277.043709.44 485.97 6.487.49 3.6319.6511.585563.444455.31 552.13 6.94133.17 4.6418.2510.655462.214403.37 545.5 6.51182.857.9718.5511.255481.094511.51 585.02 5.9190.029.5521.469.845178.254729.48 558.05 6.4182.6311.5523.210.185319.574765.76 543.028.29175.9314.4229.067.085619.244899.6 782.4618.04263.8217.9421.437.065942.095044.45 344.16665.947.98526.8282.36 441.956132.2614.56621.697.71 451.2610.02103.32657.92118.21 520.4210.41107.9716.78152.98 580.0312.78124.88 4.13704.04133.3 627.8818.68153.9310.89769.79163.03 682.0716.26176.647.4328.647.25890.03396.02 740.2518.57149.917.4332.722.521018.841064.06 805.119.05175.99.2740.71 3.591131.751473 974.522.67237.0613.3137.56 1.27998.71296.13 1018.6525.2276.6618.0341.45 1.211109.341390.47 1000.1223.32267.6120.249.59 1.471227.61428.77 1120.9626.41266.7119.551.3825.811299.321340.433.51181.2413.871.61165.2611.4618.65218.31230.122.99280.13816.2814.88331.14796.8317.76362.58835.680.05391.3859.170.02402.44915.190.05410.1930.810.04387.49737.650.04418.82942.52453.061116.11448.561118.66 191.420.69 3.11 2.77264.40.48 3880.54 3.21 3.51284.38 2.86 329.150.59 4.79 3.51319.62 3.17 323.38 1.539.3810.6374.450.13 342.447.6163.0910.97409.680.02 334.17.4363.8610.33422.80.01 299.47 1.627.190.180.3816.26505.35377.79 1.7442.530.3319621.72503.7711.0492.88 3.20.3215.87636.5208.8212.499.88 3.0814.77706.16161.7 320.438.8183.56 2.2513.23704.330 269.918.368.78 2.788.52793.060 384.31 4.8744.11 1.87 5.18864.08813.32616.49114.99 894.54675.05140.81 1003.67-0.01-0.01-0.01832.54174.94 1144.050.824.78-0.01972.88239.95 1119.1-0.01-0.01-0.011134.57285.49 1121.991309.2315.68 1353.6433.09243.91 5.88 1.1227.221497.38351.76 1438.8536.29250.3310.21 1.4918.541824.5361.75 1562.8541.28252.4911.75 1.5766.091960.54351.47 1760.1350.28315.7215.070.91376.722395306.49 1863.8846.83318.8415.590.46449.432724.13865.4 1853.3141.36299.6614.58496.573029.06989.56 1636.3639.53308.1214.37465.353137.38902.77 269.069.11200.950 333.867.09237.420 477.057.83281.72486.0610.85 6.46367.25450.979.62 1.78 5.11431.15367.7911.52 3.4 5.78432.91380.4412.4755.03 2.11 1.77 6.12493.81402.8812.5167 2.73 2.027.23545.94382.2614.383.45 4.09 1.3727.65561.89423.4616.0177.22 4.29 2.5621.2658.16375.3113.1870.44 3.210.621.08683.030 310.4212.3953.09 3.530.0125.33842.40.02 253.4211.3355.85 4.44 4.3827.57944.740.02 1046.32 5.5922.828.04176.660.06 1223.368.8464.3617.62457.910.07 1252.017.8568.1819.82520.610.07 1377.397.86101.2816.37602.190.11 1331.4316.53106.3232.4656.570.06 1276.3317.94144.8625.63697.870.07 1231.2122.08141.71 4.650.2836.89899.110.06 880.2324.0436.96 2.40.5811.01970.642598.46 1338.8720.87192.41 6.87 1.2446.271069.870.02 1347.5720.36196.949.960.9562.45996.310.03。

全国（地区）能源平衡表的组成及其分析一、全国（地区）能源平衡表及其表式全国（地区）能源平衡表，是用来反映全国或一个地区（省、市、县）的能源系统流程情况的平衡表，如下图所示：能源平衡表（实物量）续表说明：平衡关系(1)列平衡关系：第1栏等于2、3、4、5栏的代数和；第9栏等于10、11、12、13、14、15、16、18栏的代数和。

(2)行平衡关系：37=01+12-21-23；第01行等于02、03、04、05、06、07、08、09、10、11行的代数和；第12行等于13、14、15、16、17、18、20行的代数和；23=24+26+30+34；18≥19；21≥22；24≥25；26=27+29；27≥28；30=31+32+33；34=35+36。

续表说明：平衡关系(1)列平衡关系:第23栏等于01～17、18、20、22栏的代数和；第24栏等于01～17、19、21、22栏的代数和。

(2)行平衡关系：37=01+12-21-23；第01行等于02、03、04、05、06、07、08、09、10、11行的代数和；第12行等于13、14、15、16、17、18、20行的代数和；23=24+26+30+34； 18≥19； 21≥22； 24≥25； 26=27+29； 27≥28； 30=31+32+33； 34=35+36。

全国或地区能源平衡表分为单项能源平衡表和综合能源平衡表两种。

在编制综合能源平衡表之前，必须先编制用实物量单位表示的单项能源平衡表，如煤炭平衡表、焦炭平衡表、电力平衡表等。

然后根据每种能源具有的热值，再换算成标准煤数量，编制全国、地区的综合能源平衡表。

全国（地区）平衡表的表式，是采用行列的矩阵形式。

“行”的各项表示能源的流向，包括能源资源的形式和使用的方向，“列”的各栏表示能源的品种，包括各种一次能源和二次能源，如煤及各种煤制品、石油及各种石油制品，天然气、电力。

这种矩阵形式的平衡表，可以把各种能源的单项平衡项目有机地结合起来，形成可以较为完整地反映各种能源的生产、进出口、储存、加工转换、消费等各项环节的综合平衡。

○P能源统计报表制度（2019年统计年报和2020年定期统计报表）中华人民共和国国家统计局制定福建省统计局印制2019年11月本报表制度根据《中华人民共和国统计法》的有关规定制定《中华人民共和国统计法》第七条规定：国家机关、企业事业单位和其他组织以及个体工商户和个人等统计调查对象，必须依照本法和国家有关规定，真实、准确、完整、及时地提供统计调查所需的资料，不得提供不真实或者不完整的统计资料，不得迟报、拒报统计资料。

《中华人民共和国统计法》第九条规定：统计机构和统计人员对在统计工作中知悉的国家秘密、商业秘密和个人信息，应当予以保密。

本制度由福建省统计局负责解释。

目录一、总说明 (3)二、报表目录 (4)三、调查表式 (6)（一）基层年报表式 (6)1.四下企业主要能源产品产量（P106表） (6)（二）基层定报表式 (7)1.能源购进、消费与库存（205-1表） (7)2.能源加工转换与回收利用（205-2表） (8)3.主要耗能工业企业单位产品能源消费情况（205-3表） (9)4.工业企业用水情况（205-4表） (10)5.非工业重点耗能单位能源消费情况（205-5表） (11)6.能源生产、销售与库存（205-6表） (12)7.重点能源商品经销情况（205-7表） (13)（三）综合年报表式 (14)1.能源平衡表（实物量）（P303-1表） (14)2.能源平衡表（标准量）（P303-4表） (16)（四）综合定报表式 (17)1.地区能源消费与单位GDP能耗（P406表） (17)2.全社会用电量情况（P407表） (17)四、填报目录 (18)（一）能源购进、消费与库存和能源加工转换与回收利用目录（205-1表、205-2表）..18 （二）主要耗能工业企业单位产品能源消耗情况目录（205-3表） (21)（三）能源生产、销售与库存目录（205-6表） (26)（四）全社会用电量情况目录（P407表） (27)五、主要指标解释 (28)（一）能源购进、消费与库存（205-1表） (28)（二）能源加工转换与回收利用（205-2表） (31)（三）主要耗能工业企业单位产品能源消耗情况（205-3表） (32)（四）工业企业用水情况（205-4表） (55)（五）非工业重点耗能单位能源消费情况（205-5表） (57)（六）能源生产、销售与库存（205-6表） (58)（七）重点能源商品经销情况（205-7表） (60)（八）能源产品指标解释 (61)六、附录 (71)（一）各种能源折标准煤参考系数 (71)（二）热焓表（饱和蒸汽或过热蒸汽） (73)（三）季度地区能源消费总量核算方案 (77)一、总说明（一）为了解全省能源供应、需求的基本情况，为各级政府制定政策、进行经济管理与调控提供依据，依照《中华人民共和国统计法》，制定本制度。

关于布置2010年统计年报和2011年定期统计报表制度的通知粤统字〔2010〕74号各市、县、区统计局:根据《国家统计局关于布置2010年统计年报和2011年定期统计报表制度的通知》（国统字〔2010〕87号文）的要求，我们对2010年统计年报和2011年定期统计报表制度进行了修订，主要情况如下：一、从2011年定报开始，提高规模以上工业划分标准，由年主营业务收入500万元及以上提高到2000万元及以上，2010年年报仍执行原划分标准。

同时按新的规模划分标准，重新核定规模以下抽样调查范围和样本。

二、从2011年定报开始，提高固定资产投资项目统计起点，由计划总投资50万元及以上提高到500万元及以上，500万元以下项目不再纳入固定资产投资统计范围。

2010年年报仍执行原统计起点。

三、为贯彻落实《全国统计系统基本单位名录库建设维护与使用管理暂行办法》，从2010年年报开始，各级统计机构对专业年定报调查单位逐步实行统一管理。

今年各级统计机构首先做好规模以上工业、资质内建筑业、限额以上批发和零售业、限额以上住宿和餐饮业、房地产开发经营业等专业年定报调查单位与单位名录库的比对、核实和确认工作，确认后的单位名录提供各专业年定报使用。

在此基础上，进一步完善企业（单位）抽样调查的抽样框，为全面逐步过渡到各项统计调查统一使用单位名录库作为调查单位库或抽样框做好准备。

从2010年年报开始，各级统计机构有关专业将本专业年定报调查获得的新增、变更和注销等单位变动情况、单位基本信息变更资料，以及主要数据资料于报告期后15日内反馈同级名录库主管部门，以更新名录库。

四、国家统计局计划从2011年年报起，实现全国规模以上工业、资质内建筑业、限额以上批发和零售业、限额以上住宿和餐饮业、房地产开发经营业等国民经济行业“企业一套表”。

省局计划在个别地区开展2011年定报“企业一套表”试点，探索经验，为全面推行作准备。

五、继续执行现代产业统计制度和民营经济统计制度，现代产业统计上报方式改为从专业上报，民营经济上报方式不变。