山东统计年鉴宏观经济数据处理：7-5 综合能源平衡表(2010-2017)
山东省统计年鉴社会经济发展指标：全省经济社会发展结构指标
xx年xx月xx日
目录
• 综合指标 • 人口与就业 • 产业结构 • 投资与消费 • 财政与金融 • 城乡居民生活 • 能源消耗与环境
01
综合指标
全省GDP核算指标
全省国内生产总值
指按市场价格计算的一个省所有常住单位在一定 时期内生产活动的最终成果。
THANKS
财政收入
主要包括税收收入、非税收收入以及上级政府转移支付等。
财政支出
主要用于公共基础设施建设、教育、医疗、社保等方面。
全省金融机构数量及分布
01
02
03
银行机构
包括大型商业银行、股份 制银行、城市商业银行等 。
保险机构
涉及财产保险、人寿保险 等。
证券机构
提供股票、债券等金融工 具的交易服务。
全省信贷收支情况
全省城乡居民消费水平
城镇居民人均消费支出
该指标反映城镇居民的消费水平，包括食品、衣着、居住、交通通信、教育 文化娱乐、医疗保健以及其他用品和服务支出。
农村居民人均消费支出
该指标反映农村居民的消费水平，包括食品、衣着、居住、交通通信、教育 文化娱乐、医疗保健以及其他用品和服务支出。
全省恩格尔系数及基尼系数
有制结构和分配结构等。
02
产业结构
指国民经济中各产业的比重、地位和相互关系，通常以第一、第二、
第三产业的比重来衡量。
03
第三产业内部结构
指第三产业内部各行业的比重和相互关系，反映了第三产业发展状况
和人民生活水平。
02
人口与就业
全省人口数量及构成
人口总数
全省常住人口城镇化率、人口出生 率、死亡率、自然增长率。
中国能源统计年鉴2004年-2016年地区能源平衡表消费量合计统计表
地区能源平衡表：消费量合计煤合计原煤洗精煤其他洗煤型煤煤矸石序号省份年份(万吨)(万吨)(万吨)(万吨)(万吨)(万吨) 1北京20042939.642425.31505.958.15 3.41 1北京20053068.972605.37455.38.28 2.421北京20063055.672692.64338.548.0544.721北京20072984.672741.56227.329.1133.271北京20082747.732522.02223.948.8524.871北京20092664.72452.61214.859.3220.21北京20102634.622415.41220.52 6.4334.620.37 1北京20112365.532358.9813.1729.730.11 1北京20122269.892264.7914.3427.251北京20132019.232011.7112.34022.231北京20141736.541728.2510.050.0217.751北京20151165.181153.578.710.0317.081北京2016847.62841.810.02 1.16 6.222天津20043508.573025.25483.322天津20053801.453289.27512.182天津20063809.313226.55582.762天津20073926.73394.32532.382天津20083972.773485.24487.532天津20094119.653633.1486.552天津20104806.794362.1424.5116.87 3.3158.65 2天津20115261.54799431.128.11 3.2957.71 2天津20125298.124855.55419.9820.88 1.7164.08 2天津20135278.674832.5427.1817.62 1.3716.36 2天津20145027.284597.19403.1425.44 1.5114.71 2天津20154538.834172.65350.3914.11 1.6817.68 2天津20164230.163865.1529667.64 1.3715.9 3河北200417084.2616952.82370.14804.9785.153河北200520542.3919383.293366.941149.2586.453河北200621345.4219580.724426.211100.84115.463河北200724548.5122437.175454.861148.69112.23河北200824418.6222898.375493.19916.18174.223河北200926515.8124050.596933.33919.19279.663河北201027464.7226676.517183.47742.88278.3348.21 3河北201130791.7528747.198663.86818.29313.94379.83 3河北20123135930248.899246.91799.99241.13254.18 3河北201331663.2731346.689275.9227.24264.41233.81 3河北201429635.5429776.338122.52653.97204.38192.89 3河北201528943.1330140.467627.02172.91300.27307.97 3河北201628105.6528608.057112.78641.24270.58202.19 4山西200422432.6725352.36403.84736.7432.314山西200525681.4278508571.16863.1528.064山西200628351.2231255.9810498.75900.5634.044山西200729203.4832878.7912566.851890.285.164山西200828372.7132603.7211082.881778.65184.534山西200927761.9332207.7110354.691476.51148.584山西201029865.135315.1711523.581427.14139.852248.64 4山西201133478.6541395.5612436.121724.53167.682225.89 4山西201234551.1746049.512023.181782.28182.62208.75 4山西201336636.518118512704.871790.41158.521133.18 4山西201437587.4384055.812340.031728.76166.931328.7 4山西201537115.179799.5511265.521611.03135.461225.21 4山西201635621.0377492.0110935.82117.46124.971461.45内蒙古200411391.4411646.4875.51482.58102.175内蒙古200513921.8113910.211182.17598.41 1.385内蒙古200616188.88160901300.15757.229.015内蒙古200718531.5118560.731696.14870.4317.515内蒙古200822241.8422962.121712.11992.44229.845内蒙古200924047.324528.822105.261317.29303.375内蒙古201027004.0429657.12873.231639.97300.48613.55 5内蒙古201134683.5139528.363389.06641.77233.19921.77 5内蒙古201236620.4941421.53723.52431.01166.78645.58 5内蒙古201334915.7241475.154037.65401.2639.38694.28 5内蒙古201436465.9742741.244473.36381.8935.64984.46 5内蒙古201536499.7640474.133929.19305.2649.2786.43 5内蒙古201636675.3240491.873308.7497.3661.09781.06 6辽宁200411945.1811475.51618.99902.5413.756辽宁200513069.6712116.612059.37891.5 6.56辽宁200614211.3112860.492334.17975.5611.766辽宁200715224.3213339.142550.081151.99.866辽宁200815346.6613381.522713.141138.6811.86辽宁200916032.5214468.422924.111055.9411.356辽宁201016908.4315311.142926.591033.0731.74187.35 6辽宁201118053.616320.363142.791110.7737.2339.12 6辽宁201218218.8616474.023160.271108.138.77614.15 6辽宁201318132.77166943482.57474.0821.9529.35 6辽宁201418002.2716383.253441.05495.2925.22464.89 6辽宁201517336.3615387.243284.78563.6224.85440.86 6辽宁201616943.714806.82921.04714.337.15505.78 7吉林20045715.025432336.682.9410.697吉林20056802.486458.15419.67108.5213.027吉林20067548.837445.25359.4187.739.987吉林20077846.567935.75547.3582.6114.427吉林20088367.428371.34576.8660.4515.897吉林20098588.918896.59648.1468.1716.427吉林20109582.6610087.31712.8263.815.65 5.32 7吉林201111035.2911909.25861.35 4.8617.42 6.81 7吉林201211082.6712187.99825.37 5.0212.627.02 7吉林201310413.7410502.45728.94483.1511.7335.85 7吉林201410379.3410453.85677.49638.327.710.13 7吉林20159805.319698.71557.12430.86 6.647吉林20169416.849268.82426.62425.067.438黑龙江20047954.988949.8760.83372.88黑龙江20058559.7310050.95938.08526.918黑龙江20069025.0410425.961142.99626.878黑龙江20079852.6411316.611438.44776.4716.168黑龙江200811203.8712891.451822.12895.8431.258黑龙江200911050.1312926.132053.43888.132.18黑龙江201012219.1314983.072165.471220.928.21301.58 8黑龙江201113200.0316316.112024.131063.2917.94342.51 8黑龙江201213964.9217038.521908.5999.4923.551067.12 8黑龙江201313266.8115324.121675.38922.423.191192.03 8黑龙江201413595.5314632.221545.68891.4324.041034.43 8黑龙江201513432.8514592.211361.5732.1714.02629.95 8黑龙江201614034.3915267.95936.21805.2627.36567.35 9上海20045144.3240081125.687.01 3.689上海20055324.524128.731160.55 1.5333.719上海20065143.094033.331106.92 2.849上海20075259.534052.761201.03 5.749上海20085463.914269.671183.211.049上海20095305.174185.851108.0511.279上海20105875.524795.531059.59.8210.679上海20116141.954990.961123.867.5919.549上海20125703.224645.081032.76 6.4618.929上海20135681.194830.93821.81 4.1224.339上海20144895.784128.5742.09 2.522.699上海20154728.133860.25849.1918.699上海20164625.623814.74800.6710.2110江苏200413272.812917700.53117.888.9910江苏200516778.5715814.251242.8185.6418.4910江苏200618427.6817272.081455.17252.819.110江苏200719951.818415.631596.76566.4131.4710江苏200820736.7118974.31830.87651.3638.3210江苏200921003.0219465.222022.17516.2828.2310江苏201023100.4821748.682165.74380.1724.2856.05 10江苏201127363.8325464.952818.85320.8921.13239.49 10江苏201227762.3625402.23268.9371.4424.4631.49 10江苏201327946.0725333.913419.02350.2926.8711.59 10江苏201426912.6123995.623715.96388.3732.4410江苏201527209.1224189.363701.99411.6239.2910江苏201628048.1324894.913398.92734.5841.0511浙江20048368.1827091.8126.5711浙江20059680.89583.8596.93140.0211浙江200611334.4311240.8799.17 2.46114.3711浙江200713024.1212914.78115.247.04109.0311浙江200813040.9412840.17215.83 3.32106.0211浙江200913276.1613076.91221.13 5.74120.5211浙江201013949.8613592.67363.6510.17134.6235.24 11浙江20111477614382.45401 2.37151.5325.24 11浙江201214373.5213957.66420.61 1.52159.4227.34 11浙江201314161.2613730.13423.98 1.16162.1417.66 11浙江201413824.3713425.21400.270.65206.22 2.15 11浙江201513826.0713420.01406.280.55295.57 1.9 11浙江201613948.4913671.08261.4116.94332.77 2.2 12安徽20047904.067859687.9445462212安徽20058339.648500.41752.82771.4858012安徽20068830.529158.78732.07603.29500.712安徽20079783.749834939.29899.32446.2112安徽200811377.111368.21200.271139.1212安徽200912666.413029.11175.361430.1212安徽201013375.713706.451262.741738.7613.11247.23 12安徽201114538.3115050.831286.852013.8419.99195.97 12安徽201214704.2517058.291280.93348.9917.55314.51 12安徽201315665.0818310.541381.87322.0919.41336.9 12安徽201415786.9818599.461446.49421.8117.82403.12 12安徽201515671.3218234.631421.46413.0416.37386.87 12安徽201615728.6817618.931341.32524.83158.6419.07 13福建20043806.123718.581.4 6.213福建20054857.134733.76127.727.4413福建20065395.085256.34120.57 4.0248.5313福建20076117.156013.64117.34 3.4781.913福建20086595.886431128.12 1.3580.2113福建20097109.256898.14152.57086.2613福建20107026.246805.98195.850.8798.5134.67 13福建20118713.758566.19198.180.7119.123 13福建20128484.878252.66255.09 1.1329.7913福建20138078.647905.19217.57 1.1526.2713福建20148198.37970.51264.95 3.673013福建20157659.947454.72247.59 1.9931.7613福建20166826.56668.88156.3763.173014江西20043943.913621.2530.18118.96202.0214江西20054242.93815.07611.9899.41249.6714江西20064592.264235.82641.98163.77247.9714江西20075169.994727.99735.01173.93224.7114江西20085267.454924.65704.77169.74226.7914江西20095356.114820.83862.54153.97224.3714江西20106246.245689.5935.78168.95222.6575.22 14江西20116988.416261.661090138.35158.2249.27 14江西20126801.856048.631115.24161.46166.5867.68 14江西20137254.696573.061138.01164.73177.8373.25 14江西20147477.316768.081202.67176.51183.4362.34 14江西20157698.246979.621137.14147.3999.8564.37 14江西20167617.596781.411036.86151.36100.6459.21 15山东200418270.0820856.31619.27824.0929.8115山东200525247.9128212.192260.11155.0431.0615山东200629001.2531409.813368.32758.32211.5615山东200731702.7834285.544175.031054.44196.5915山东200834389.6135061.664707.441564.85366.3415山东200934795.1736740.85105.861793.46470.0515山东201037327.8938490.245533.331813.73593.941079.63 15山东201138920.5340588.756190.462053.05656.71172.52 15山东201240232.841294.946303.633103.351059.17764.04 15山东201337683.4437751.956790.4902.091397.33892.11 15山东201439561.7338706.527151.1928.491414.27690.1 15山东201540926.9440502.436637.6936.651393.17686.08 15山东201640939.239871.196126.781451.081223.36639.72 16河南200414937.6416554.3866.57222.160.0416河南200518467.8920215.521031.55341.3822.5316河南200621002.8223752.931188.09305.685116河南200723170.4926570.571523.37244.8966.9216河南200823867.5227060.122032.11218.9560.8116河南200924445.4229411.422168.46220.767.516河南20102605029816.14395.11417.35103.5298.73 16河南201128373.8433389.594247.25552.95219.92402.32 16河南201225240.3230805.543121.62240.59192.84270.66 16河南201325058.1428113.014621.041896.4432.46305.2 16河南201424249.8826934.325031.541987.7443.91224.66 16河南201523719.9425808.484978.991658.4348.08255.27 16河南201623226.5225965.663504.052064.14375.81188.85 17湖北20048053.717375.2678.517湖北20058652.647689.66940.08 2.917湖北20069651.648587.781076.74 3.02 1.817湖北200710534.629306.91177.34 5.246.4417湖北200810196.088949.241165.75 5.7780.5617湖北200911099.759818.561198.86 4.5481.8717湖北201013470.0611899.261465.9536.4768.38171.93 17湖北201115805.3214065.81618.3649.2777.57157.2 17湖北201215799.3614165.191507.3246.0292.7156.26 17湖北201312166.7210466.211562.85§6.00113.2756.54 17湖北201411887.8310265.061512.1247.92110.3781.29 17湖北201511765.9110170.131490.6946.78120.3564.88 17湖北201611685.8810265.611253.29134.1191.2146.72 18湖南20046039.795650.3454.4127.8911.0918湖南20058739.298146.98782.3440.6268.7518湖南20069438.518843.64857.23116.51249.0318湖南200710277.399628.52959.51122.3258.2418湖南200810169.019012.74960.24118.72763.4418湖南200910751.419602.81106.14195.81795.6618湖南201011323.3310448.51216.54265.04611.8767.24 18湖南201113005.7512076.621556.29279.63691.8587.57 18湖南201212083.7111598.591256.97253.2541.6132.31 18湖南201311223.8410969.331268.77205.6426.66166.45 18湖南201410899.5110461.511248.42202.31471.49117.34 18湖南201511142.2610315.051260.43208.25517.43153.84 18湖南201611443.5310840.48913.97198.92553.99181.77 19广东20048790.248628.2161.8219.3531.2819广东20059942.379683.05230.0812.3534.2819广东200611125.9810776.02306.5213.58201.4219广东200712593.9712064.96264.9115.53404.7319广东200813298.1612661.63308.7316.43452.0119广东200913647.2612508.9696.2118.43472.9919广东201015983.6214488.431176.1518.43344.78307 19广东201118439.3717099.561015.5517.52329.83321.65 19广东201217633.9516303.91070.8 2.56326.04359.67 19广东201317106.7815967.26895.0422.15308.79459.44 19广东201417013.7115923.69921.8922.68313.5435.11 19广东201516587.3215473.23991.7624.7294.27363.27 19广东201616135.2915308.51678.7246.97330.55371.46 20广西20043366.713107.6253.05 4.35 1.7420广西20053733.993380.67350.42 2.730.1720广西20064172.863786.73376.23 2.810.320广西20074772.144368.95383.739.5712.7820广西20084676.334194.92463.7 6.3313.1720广西20095199.114667.54520.76 4.3414.9320广西20106206.825633.45575.85 5.4126.1217.81 20广西20117032.896390.04626.78 3.7312.34 4.75 20广西20127263.76645.06608.99 2.96 6.69 3.27 20广西20137344.116641.83702.160.06 3.7620广西20146796.516081.14709.12 1.988.4120广西20156046.715398.87673.63 2.45 5.10.97 20广西20166517.775839.51676.9220.59 4.5621海南2004477.34477.30.0521海南2005341.6341.621海南2006332.23327.93 4.321海南2007414.08411.65 2.4321海南2008471.95456.3610.9 4.6921海南2009536.89531.59 5.321海南2010647.2643.37 3.8321海南2011815.47815.440.0321海南2012930.62930.6221海南20131008.781008.7821海南20141018.31018.321海南20151071.921071.9221海南20161015.311015.3122重庆20042904.382850.3253.56187.12 5.3322重庆20053335.23226.74308.82236.817.8422重庆20063734.63703.91419.24197.147.6622重庆20074078.694152.36461.81205.92 5.4522重庆20085272.735483.17502.09246.4810.3722重庆20095781.726294.44509.99213.63 3.6722重庆20106396.96475.451100.03395.53 4.95608.02 22重庆20117189.257007.391350.44451.239.55540.83 22重庆20126749.856559.561331.24508.7414.33215.65 22重庆20135794.475815.481281.83212.0218.86225.57 22重庆20146095.785935.061439.52462.0922.41282.85 22重庆20156047.195882.181331.64536.1824.76190.05 22重庆20165674.376065.36186.34891.8318.38113.76 23四川20048188.688135.7990.11360.2223四川20057791.937552.431018.54260.8223四川20068532.718387.741143.1330.78-0.0123四川20079450.119640.751296.08493.88-0.0123四川200810727.4110904.621316.28504.9-0.0123四川200912147.3512128.691538.98819.6259.9223四川201011520.411505.961820.24867.5862.05209.33 23四川201111454.3411408.912016.44464.75100.13213.18 23四川201211872.211876.913149.82876.9162.01354.57 23四川201311678.5511710.362725.761187.6224.5322.61 23四川201411045.3911053.713042.511193.7936.18332.49 23四川20159288.98636.692589.151168.8341.51388.88 23四川20168869.498191.42325.162024.1469.06516.81 24贵州20047999.148186.9351.4514.444324贵州20058651.449189.71322.9519.0540.8624贵州20069938.9910454.81525.5756.0661.4324贵州200710636.3511270.23710.5854.1871.4724贵州20089732.1810810.68866.6842.5672.4124贵州200910912.4712295.38930.4921.4269.8424贵州201010908.112970.95911.322859.7838.57 24贵州201112084.9713694.35851.471308.1461.284.94 24贵州201213327.6314847.691029.221419.51122.42105 24贵州201313650.7416336.051269.451643.5335.8789.03 24贵州201413117.616287.91204.691816.1135.42115.37 24贵州201512833.4916192.03903.482323.7532.2848.21 24贵州201613642.7517293.86821.153411.65 3.9760.16 25云南20043062.983012250.61128.87 6.5125云南20056681.536550.88689.59168.8710.2925云南200674827355.17862.54177.4923.7725云南20077620.457454.361149.1275.7520.0125云南20087915.697852.661210.93115.2421.3825云南20098885.6185221474.56111.5121.5425云南20109349.49027.61674.57115.5470.0165.45 25云南20119745.089815.47642.7517.6481.36 25云南20129850.19843.412352.95248.9621.7437.59 25云南20139783.099680.512605.67331.430.7429.2925云南20148674.679123.261669.0299.4126.0626.3 25云南20157712.858840.021272.1788.3920.3423.22 25云南20167461.188749.391172.21140.8515.6721.5 26陕西20044958.064593.2588.936.7540.1226陕西20056049.125518.97760.9141.11 3.3726陕西20067400.17178.87540.790.74 2.7126陕西20077893.757737.81769.23 4.4152.426陕西20088941.318928.99582.711.458.9426陕西20099496.59799.9640.6410.7426陕西201011638.5312085.35861.5113.51 4.46369.95 26陕西201113317.9213639.691216.181476.18 4.58268.17 26陕西201215773.6116542.581470.522088.64 3.3313.88 26陕西201317247.9521091.331494.341783.61 1.76356.11 26陕西201418375.3422155.541428.291751.84 1.63359.48 26陕西201518373.6124309.571343.611447.10.87317.23 26陕西201619670.7528290.61178.11440.49 3.24277.32 27甘肃20043494.823323.2199.51 2.8951.6527甘肃20053750.673424.5371.720.1753.5527甘肃20063959.093547.86439.330.1462.2827甘肃20074455.194257.93481.670.262.2827甘肃20084682.874321.34444.16627甘肃20094478.54077.63423.7467.7527甘肃20105389.575126.28309.05 1.0194.2342.32 27甘肃20116303.376039.24339.2899.141.61 27甘肃20126557.536324.16381.170.139346.54 27甘肃20136541.076502.68539.320.1680.0653.93 27甘肃20146715.876562.97698.51681.9461.34 27甘肃20156557.066369.91618.0783.5658.4 27甘肃20166377.526090.84598.7465100.3961.64 28青海2004680.05672.6 5.25 1.740.528青海2005698.97692.557.090.3328青海2006912.39872.4138.190.23 1.5628青海20071058.191006.02100.510.02 1.6228青海20081316.451305.91102.89 3.74 1.1228青海20091309.541468.16100.587.910.7128青海20101270.681458.4498.988.50.860.77 28青海20111508.222021.55116.060.4628青海20121859.122412.16149.080.5228青海20132073.152988.07150.010.528青海20141816.512534.6832.23 1.4228青海20151508.121513.71 2.50.2328青海20161962.431902.148.4596.0629宁夏20042761.93222.9204.24135.5829宁夏20053248.933850.48229.13130.78 2.6829宁夏20063489.614232.15169.9139.73 2.6529宁夏20074135.315268.29248.08169.21 3.8729宁夏20084286.975534.24252.0182 3.229宁夏20094758.536358.59425.44106.668.3229宁夏20105764.927681.13554.9594.37 3.49230.79 29宁夏20117946.9610000.67529.14100.64 1.39183.36 29宁夏20128055.379293.82689.71404.120.94130.78 29宁夏20138533.519474.91940.74265.240.78103.18 29宁夏201488579867.291008.4231.02 1.8159.6 29宁夏20158907.379745.16931.6156.32 1.61101.4929宁夏20168665.099332.3794.85688.34 3.92176.69 30新疆20043631.793633.6109.5810.5130新疆20053859.913842.64186.4511.9919.3230新疆20064436.214390.56248.5246.430新疆20074943.694909.82285.4929.830新疆20085708.565605.88382.2529.5730新疆20097417.717306.55444.9718.0330新疆20108106.358079.8595.8914.07 2.85 30新疆20119745.089815.47642.7517.6481.36 30新疆201212027.6112058.38682.167.48160.14 30新疆201314205.514068.53908.2138.83 5.1830新疆201416088.0316048.12102333.2930新疆201517359.2817569.3944.0526.930新疆20161898519056.42772.17166.41 5.5186.68焦炭焦炉煤气高炉煤气转炉煤气其他煤气其他焦化产品油品合计原油(万吨)(亿立方米)(亿立方米)(亿立方米)(亿立方米)(万吨)(万吨)(万吨) 455.7315.46124.9716.62809.35809.35 397.415.03117.71 5.431111.66799.6 348.6210.91104.457.541205.34796.12 358.198.31101.3926.811326.45950.91 232.878.162.330.571371.541116.76 211.977.9561.7529.521387.421162.93 220.457.8557.85 3.380.610.211454.621116.2933.280.72 6.40.741534.9732.27 3.58 1.390.641533.421075.770.7901480.9870.920.641538.241034.620.441583.81991.540.211578.47821328.047.477.6724.07786.57 329.757.3315.37.62765.26863.14 541.17.416.38 3.72733.14900.49 667.75 6.3527.3413.94768.65950.14 719.23 6.0973.4717.74864.89790.33 868.65 6.11113.9318.67928.06844.64 663.91 5.84106.51 6.51187.831282.671566.79 709.48 6.2142.297.98183.761516.351754.02 882.72 5.98127.037.12205.341618.781544.62 955.48 6.77199.3612.2268.871542.281759.15 954.39 6.72197.8311.4875.41615.261603.17 904.69 6.04173.5510.0378.211731.721616.72 887.297.93149.5711.972.981777.821433.6 3243.4634.65185.5242.63723.73939.39 4498.2443.47198.4943.181031.781003.29 5460.5554.94235.0777.91161.751046.69 5127.3371.56386.16163.541133.251124.77 6007.6989.08340.77205.161135.971357.63 6208.8392.73408.03188.551096.911379.12 7319106.431021.3453.657.31161.531423.91396.65 8399.88129.11898.5253.889.06242.621582.421564.68 8402.28134.51948.0882.6110118.461619.671547.61 8339.85143.482056.9116.43 5.64114.871488.91385.89 8127.2130.071972.8136.96 1.24161.171423.121356.61 7726.45122.382153.43132.129.97170.571631.631666.82 8079.49120.452370.25137.458.97283.181788.491761.93 2724.3135.08144.1972301.020 2139.9143.91161.79134.17368.170 2417.14171.4130.8160.17410.770 2526.37177.76131.06145.2435.742358.76172.81129.41112.91763.942438.39148.52128.12100.81826.872589.22160.72116.267.3610.16143.66754.182558.55186.8267.07 1.0216.83178.33758.652938.55167.4371.07 1.2715.6152.9772.62145.59178.03374.8914.8211.79158.72783.31215.87 2177.69170.99361.815.118.46157.99746.910 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。
基于STIRPAT模型的区域城市化碳排放影响因素差异分析
基于STIRPAT模型的区域城市化碳排放影响因素差异分析赵涛;张思聪【摘要】研究7种不同城市化因素对二氧化碳排放的影响,包括人口、经济、能源强度、能源结构、能源清洁度,服务水平和研发强度,采用基于FE-DK回归模型的STIRPAT模型来评估不同元素对中国三大区域(高度城市化、发展中城市化和城市化相对落后区域)的碳排放影响.结果表明,服务业水平在高度城市化地区的产业发展中发挥着越来越重要的作用.此外,发展中的城市化地区人口因素的影响高于其他2个地区.同时,在城市化相对落后地区,提高化石燃料的使用效率比其他地区更为重要.总体而言,经济城市化是影响3个地区碳排放的最重要影响因素.具体的解决方案取决于不同区域的具体情况.【期刊名称】《甘肃科学学报》【年(卷),期】2019(031)003【总页数】6页(P125-130)【关键词】二氧化碳排放;城市化;区域差异分析;扩展的STIRPAT模型【作者】赵涛;张思聪【作者单位】天津大学管理与经济学部,天津 300072;天津大学管理与经济学部,天津 300072【正文语种】中文【中图分类】F205作为世界上最大的发展中国家,中国自1978年改革开放以来,实现了经济的快速增长以及城市化进程的加速发展。
目前中国已成为世界第二大经济体,同时也是碳排放量最大的国家。
预计到2020年,中国碳排放量将占世界碳排放总量的三分之一,并在2025—2030年期间达到峰值。
中国政府承诺到2020年,每单位GDP产生的碳排放量要削减60%～65%左右。
此外,“十三五”国民经济与社会发展规划纲要明确表示,在“十三五”期间要完成能源消耗降低15%,能源强度降低18%的减排目标。
而城市地区对整个中国碳排放总量贡献率为75.5%,这也意味着城市化的发展给节能减排带来了巨大的压力和挑战[1]。
综上,中国在城市化进程中的减排形势非常严峻,因此,研究城市化对碳排放的影响有助于政府制定一系列相对应的政策来实现节能减排的目标。
《中国能源统计年鉴》能源平衡表解读
《中国能源统计年鉴》能源平衡表解读我国能源统计年鉴是我国能源统计的一部权威性年度资料汇编，包括对我国国民经济全行业和各地区的能源生产、消费、储备、能源平衡等方面的数据信息。
它是评估我国能源资源利用与管理水平，研究国家能源经济发展形势，分析国民经济各行业能源消费结构及其变化规律，为我国的能源管理与节约提供了丰富的基础数据。
在《我国能源统计年鉴》中，其中一个重要的内容就是能源平衡表（Energy Balance Sheet），它是一个国家或地区能源统计的核心内容之一，用于对国家或地区的能源生产、转化、消费及库存情况进行总体和系统的核算。
能源平衡表也是一个显示能源供需关系、反映能源利用效率和能源结构合理性的重要工具。
让我们深入研究一下《我国能源统计年鉴》中的能源平衡表。
能源平衡表的主要内容包括三大部分：能源供应、转化和消费。
在能源供应方面，它包括能源的生产、进口和库存等情况；在能源转化方面，主要包括对各种类型能源的转化利用情况；在能源消费方面，则是各行业、用途的能源消费情况。
通过详细解读能源平衡表，我们不仅能够了解我国能源的来源、转化和利用情况，还能够了解不同行业、不同地区的能源消费差异，以及国家能源结构的合理性和优化方向。
让我们分析一下能源平衡表对于我国能源管理的意义。
我国是一个能源资源相对匮乏的国家，能源的供需关系一直是国家经济发展和国民生活稳定的重要因素。
通过对能源平衡表的详细解读和分析，我国能源管理部门可以更加全面地了解国家能源供需结构和亟待解决的问题，在能源资源的开发、利用和节约方面进行有针对性的政策制定和资源配置。
对于企业和社会来说，能源平衡表也可以为其提供有价值的能源消费信息，引导其节能减排，优化能源结构，降低生产成本，提高能源利用效率。
我想共享一下我个人对《我国能源统计年鉴》和能源平衡表的理解。
在我看来，这些数据不仅仅是冰冷的数字，更是我国国民经济、能源管理、环境保护等多个领域的全貌和缩影。
2017年宏观SAM的编制及最优平衡方法选择
2017年宏观SAM的编制及最优平衡方法选择苏丽敏1袁2袁3(河南大学1.经济学院2.数学与统计学院3.人工智能理论及算法河南省工程研究中心，河南开封475004)摘要：土会核算矩阵(SAM)可以为分析宏观经济形势和构建CGE模型提供全面、一致的数据资料。
本文根据2017年中国投入产出表等数据资源，编制2017年中国宏观SAM，在此基础上，分别采用最小二乘法、RAS法、直接交叉系数法平衡宏观SAM，并基于不同评价指标比较测算各种平衡SAM方法的优劣。
研究结果显示：RAS平衡法是平衡2017年宏观SAM的最优方法，相应地，经RAS法平衡后的SAM的数据质量最佳。
关键词：社会核算矩阵；最小二乘法；RAS法；直接交叉系数法中图分类号:F221文献标识码:A文章编号：2096-8647(2020)05-0033-05 DOI：10.13999/ki.tjllysj.2020.05.006一、弓I言系统、全面、一致的数据是构建经济模型的前提,也是进行经济政策分析的基础。
社会核算矩阵(SAM)将国民经济核算体系六大账户整合到一张矩阵表内，在投入产岀表的基础上增加要素、居民、政府、世界其他地区以及要素等非生产性机构部门，全面刻画一个国家或地区一定时期内社会经济活动,可以系统描述生产活动带来收入、收入引发需求、需求引致生产的经济循环系统。
故社会核算矩阵不仅可以反映生产部门之间的联系，也可以反映非生产部门之间以及生产部门与非生产部门之间的联系,被广泛应用于经济增长、产业结构调整、就业以及收入分配等各个研究领域,同时为宏观经济分析提供必备的数据资料，是CGE 模型构建的数据基础。
因此，编制SAM具有重要的理论和现实意义。
二、相关研究综述Richard Stone在20世纪60年代编制了世界上第一张SAM,此后编制社会核算矩阵在各国兴起,0多个国家先后编制各自的社会核算矩阵。
如Pyatt和Round(1979)编制了斯里兰卡的社会核算矩阵，Hayden和Round(1982)编制了博茨瓦纳的社会核算矩阵,Emini(2002)编制了喀麦隆的社会核算矩阵。
2024年统计师之中级统计相关知识通关题库(附答案)
2024年统计师之中级统计相关知识通关题库(附答案)单选题（共45题）1、当宏观经济存在通货膨胀时，应该首先采取的财政政策工具是（）。
A.减少政府支出和减少税收B.减少政府支出和增加税收C.增加政府支出和增加税收D.增加政府支出和减少税收【答案】 B2、以下会计报表分析方法中，属于反映企业获利能力的比率是（）。
A.所有者权益比率B.存货周转率C.已获利息倍数D.市盈率【答案】 D3、国家统计局发布的《中国统计年鉴（2010-2018）》中我国四大直辖市GDP数据是（）。
A.面板数据B.顺序数据C.横截面数据D.时间序列数据【答案】 A4、年报是年度终了时编制的报表，应于年度终了后（）内对外提供。
A.一个月B.三个月C.四个月D.半年【答案】 C5、坐标的纵轴代表总需求，横轴代表总产出或国民收入。
45。
线表示了（）之间的等量关系。
A.实际产出和均衡产出B.总需求和国民收入C.国民收入和总产出D.国民生产总值和国内生产总值【答案】 B6、某企业上年末资产负债表部分项目的余额如下：货币资金 230,000 元，应收账款 42,450 元，存货132,000 元，固定资产原价 510,000 元，累计折旧183,000 元。
该企业本年度发生下列经济业务：A.(30000-22000)/30000×100%=26.7%B.(30000-22000-500)/30000×100%=25%C.(35100-5100-22000)/35100×100%=22.8%D.(35100-5100-22000-500)/35100×100%=21.4%【答案】 B7、在统计假设检验中，作为检验标准的总体参数是()。
B.假设的C.随机的D.变异的【答案】 B8、茄子的基期价格是1元／斤，数量是5斤，报告期价格是2元／斤，数量是15斤；白菜的基期价格是2元／斤，数量是10斤，报告期价格是3元／斤，数量是20斤，则这两种蔬菜的拉氏价格指数为（）。
山东统计年鉴宏观经济数据处理：6-17 按主要国别(地区)分境外投资情况(2017-2018)
总计 亚洲小计 阿富汗 阿联酋 澳门 巴基斯坦 巴林 朝鲜 东帝汶 菲律宾 哈萨克斯坦 韩国 吉尔吉斯斯坦 柬埔寨 卡塔尔 科威特 老挝 马来西亚 蒙古 孟加拉
Total Subtotal of Asia Afghanistan UAE Macao Pakistan Bahrain Korea DPR East Timor Philippine Kazakhstan Republic of Korea Kyrgyzstan Cambodia Qatar Kuwait Laos Malaysia Mongolia Bangladesh
Ethiopia Angola Benin Botswana Eq.Guinea Togo Eritrea Cape Verde Gambia Congo Rep Congo DR Guinea Guinea-Bissau Ghana Gabon Zimbabwe Cameroon Cote D'Ivoire Kenya Lesotho Liberia Libya Mali Madagascar Mauritius Mauritania Morocco Mavila
2
236
2
5
313
2
2
807
1 1 1
2
2
683
1
200
4
2
2574
6
6
6731
1
26
14
140928
2
1
96122
2
7000
巴西
Brazil
玻利维亚
Bolivia
多米尼加
Dominican Rep.
厄瓜多尔
Ecuador
山东省人民政府办公厅关于2010上半年各市节能指标完成情况的通报(鲁政办字〔2010〕142号)
山东省人民政府办公厅关于2010上半年各市节能指标完成情
况的通报(鲁政办字〔2010〕142号)
佚名
【期刊名称】《山东政报》
【年(卷),期】2010(000)017
【总页数】7页(P39-45)
【正文语种】中文
【中图分类】F206
【相关文献】
1.山东省人民政府办公厅关于2O14—2015年度全省金融业发展绩效考核情况的通报鲁政办字[2016]80号 [J], ;
2.山东省人民政府办公厅关于2015年度及“十二五”节能目标责任考核情况的通报鲁政办字[2016]218号 [J], ;
3.山东省人民政府办公厅关于加强行政管理研究的通知(鲁政办字〔2010〕62号) [J], ;
4.“山东省人民政府办公厅关于2016年度全省服务业发展绩效考核情况的通报鲁政办字[2017]101号 [J], ;
5.山东省人民政府办公厅关于印发《山东省大气污染防治目标任务完成情况评估办法》的通知鲁政办字[2017]125号 [J], ;
因版权原因，仅展示原文概要，查看原文内容请购买。
- 1、下载文档前请自行甄别文档内容的完整性，平台不提供额外的编辑、内容补充、找答案等附加服务。
- 2、"仅部分预览"的文档,不可在线预览部分如存在完整性等问题,可反馈申请退款(可完整预览的文档不适用该条件!)。
- 3、如文档侵犯您的权益，请联系客服反馈,我们会尽快为您处理(人工客服工作时间：9:00-18:30)。
单位：万吨标准煤
项目
Item
可供消费的能源总量
Total Energy for Consumption
一次能源生产量
Primary Energy Output
外省(区、市)调入量
Allocation from Other Provinces
2010
2015
2016
(10 000 tons of SCE)
2017
30235.7 15858.8 24249.0
4078.7 -13546.4
-154.1 26659.2 13409.2 -16453.8
-744.7 194.3 37945.4
炼焦
Coking
炼油
Petroleum Refining
(三) 损失量 平衡差额
(Ⅲ)Energy Losses Balance
注：本表使用等价折标系数折算标准 煤。 a)Data of standard coal equivalent are calculated on the basis of the consumed
进口量
Imports
本省(区、市)调出量(－)
Allocation to Other Provinces(-)
出口量(-)
Exports(-)
年初年末库存差额
Stock Changes in the Year
能源消费总量
Total Energy Consumption
在总量中：
Consumption by srctor
6.其他行业
6.Other Sectors
7.生活消费
7.Household Consumption
在总量中：
Consumption by Usage
(一) 终端消费
(Ⅰ)End-use Consumption
工业
Industry
(二) 加工转换损失量
(Ⅱ)Losses During the Process of Energy Conversion
36635.6 27944.1
1309.8 570.8 915.2
37160.2 28051.2
1562.5 527.9
1081.2
36515.8 26825.2
1669.8 462.1
1373.0
498.1
38722.8 14020.8 33131.9
8947.6 -16694.2
-528.1 -155.4 38722.8
38683.7 14443.8 30043.2 13986.6 -17373.2 -2466.3
49.6 38683.7
552.5 22634.0
529.4 1761.1
894.8 1037.1 2826.8
657.7 29253.8
453.3 2078.6
922.9 1250.5 3328.5
682.3 29613.7
472.1 2192.6
937.0 1264.3 3560.7
690.4 28993.1
486.6 2421.1
964.2 1356.5 3771.8
29185.8 21584.1
1049.9 494.1 197.1
1.农林牧渔业
1.Agriculture,Forestry,Animal Husbandry and Fishery
2.工 业
2.Industry
3.建筑业
3.Construction
4.交通运输、仓储和邮政业
4.Transport,Storage and Post
5.批发、零售业和住宿、餐饮业
5.Wholesale and Retail Trades,Hotels and Catering Services