

World Regional Studies ›› 2026, Vol. 35 ›› Issue (5): 157-170.DOI: 10.3969/j.issn.1004-9479.2026.05.20240736
Li GONG1,2(
), Jiayi ZHENG1,2(
), Lu MA1,2
Received:2024-09-04
Revised:2025-03-11
Online:2026-05-15
Published:2026-05-27
Contact:
Jiayi ZHENG
通讯作者:
郑家怡
作者简介:龚利(1981—),男,副研究员,博士,研究方向为能源地理与区域发展,E-mail: lgong@re.ecnu.edu.cn。
基金资助:Li GONG, Jiayi ZHENG, Lu MA. Research on the characteristics and influencing factors of domestic energy consumption by urban and rural residents in China[J]. World Regional Studies, 2026, 35(5): 157-170.
龚利, 郑家怡, 马璐. 中国城乡居民生活能源消费特征及影响因素研究[J]. 世界地理研究, 2026, 35(5): 157-170.
| 年份 | 城镇 | ||||
|---|---|---|---|---|---|
| △P | △I | △A | △E | △N | |
| 2007—2008 | 419.38 | -31.61 | 1 649.99 | -2.64 | -3 113.92 |
| 2008—2009 | 395.68 | 63.53 | 1 061.02 | 14.53 | 1 932.04 |
| 2009—2010 | 748.11 | -307.18 | 2 518.28 | 1.28 | -199.75 |
| 2010—2011 | 689.82 | -291.86 | 2 886.28 | 0.04 | -1 576.08 |
| 2011—2012 | 640.70 | -300.43 | 1 696.71 | 1.74 | -1.82 |
| 2012—2013 | 647.98 | 40.35 | 1 122.20 | -4.30 | -3 641.51 |
| 2013—2014 | 596.95 | -3.78 | 1 125.63 | 0.45 | -385.12 |
| 2014—2015 | 708.92 | -418.39 | 906.47 | 0.27 | 355.51 |
| 2015—2016 | 741.17 | -305.05 | 1 367.19 | 0.15 | -821.24 |
| 2016—2017 | 706.29 | -260.11 | 1 775.37 | 0.62 | -234.14 |
| 2017—2018 | 642.75 | -261.07 | 1 697.00 | 1.37 | -271.96 |
| 2018—2019 | 638.22 | -288.01 | 1 674.06 | 0.23 | -1 111.44 |
| 2019—2020 | 578.11 | -162.93 | 188.11 | 0.59 | 625.87 |
| 年份 | 乡村 | ||||
| △P | △I | △A | △E | △N | |
| 2007—2008 | -135.23 | 7.09 | 1 525.29 | 11.03 | -531.28 |
| 2008—2009 | -117.66 | 1.73 | 493.22 | -1.20 | -477.25 |
| 2009—2010 | -288.23 | -17.67 | 1 592.13 | 0.40 | -588.57 |
| 2010—2011 | -195.28 | -72.30 | 1 858.62 | 2.28 | -393.80 |
| 2011—2012 | -210.77 | -163.83 | 1 454.13 | 0.67 | -638.08 |
| 2012—2013 | -273.92 | -76.06 | 1 293.70 | 0.16 | -758.70 |
| 2013—2014 | -248.58 | -147.05 | 1 026.14 | 0.06 | -248.69 |
| 2014—2015 | -382.46 | -124.96 | 1 049.43 | 0.10 | 315.92 |
| 2015—2016 | -378.51 | -229.73 | 1 216.20 | 0.58 | -84.55 |
| 2016—2017 | -394.39 | -241.80 | 363.10 | 0.83 | 1 149.42 |
| 2017—2018 | -407.77 | -203.50 | 1 237.50 | 1.40 | 26.29 |
| 2018—2019 | -420.21 | -145.10 | 1 810.91 | -0.03 | -1 287.32 |
| 2019—2020 | -462.45 | -1 867.72 | 3 786.30 | 0.41 | -712.89 |
Tab. 1 Evolution of driving effect of energy consumption in urban and rural China in major years
| 年份 | 城镇 | ||||
|---|---|---|---|---|---|
| △P | △I | △A | △E | △N | |
| 2007—2008 | 419.38 | -31.61 | 1 649.99 | -2.64 | -3 113.92 |
| 2008—2009 | 395.68 | 63.53 | 1 061.02 | 14.53 | 1 932.04 |
| 2009—2010 | 748.11 | -307.18 | 2 518.28 | 1.28 | -199.75 |
| 2010—2011 | 689.82 | -291.86 | 2 886.28 | 0.04 | -1 576.08 |
| 2011—2012 | 640.70 | -300.43 | 1 696.71 | 1.74 | -1.82 |
| 2012—2013 | 647.98 | 40.35 | 1 122.20 | -4.30 | -3 641.51 |
| 2013—2014 | 596.95 | -3.78 | 1 125.63 | 0.45 | -385.12 |
| 2014—2015 | 708.92 | -418.39 | 906.47 | 0.27 | 355.51 |
| 2015—2016 | 741.17 | -305.05 | 1 367.19 | 0.15 | -821.24 |
| 2016—2017 | 706.29 | -260.11 | 1 775.37 | 0.62 | -234.14 |
| 2017—2018 | 642.75 | -261.07 | 1 697.00 | 1.37 | -271.96 |
| 2018—2019 | 638.22 | -288.01 | 1 674.06 | 0.23 | -1 111.44 |
| 2019—2020 | 578.11 | -162.93 | 188.11 | 0.59 | 625.87 |
| 年份 | 乡村 | ||||
| △P | △I | △A | △E | △N | |
| 2007—2008 | -135.23 | 7.09 | 1 525.29 | 11.03 | -531.28 |
| 2008—2009 | -117.66 | 1.73 | 493.22 | -1.20 | -477.25 |
| 2009—2010 | -288.23 | -17.67 | 1 592.13 | 0.40 | -588.57 |
| 2010—2011 | -195.28 | -72.30 | 1 858.62 | 2.28 | -393.80 |
| 2011—2012 | -210.77 | -163.83 | 1 454.13 | 0.67 | -638.08 |
| 2012—2013 | -273.92 | -76.06 | 1 293.70 | 0.16 | -758.70 |
| 2013—2014 | -248.58 | -147.05 | 1 026.14 | 0.06 | -248.69 |
| 2014—2015 | -382.46 | -124.96 | 1 049.43 | 0.10 | 315.92 |
| 2015—2016 | -378.51 | -229.73 | 1 216.20 | 0.58 | -84.55 |
| 2016—2017 | -394.39 | -241.80 | 363.10 | 0.83 | 1 149.42 |
| 2017—2018 | -407.77 | -203.50 | 1 237.50 | 1.40 | 26.29 |
| 2018—2019 | -420.21 | -145.10 | 1 810.91 | -0.03 | -1 287.32 |
| 2019—2020 | -462.45 | -1 867.72 | 3 786.30 | 0.41 | -712.89 |
| 变量 | (1) | (2) | (3) | (4) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 乡村 | 城镇 | 城镇 | 乡村 | |||||||
| 东部 | 中部 | 西部 | 东北部 | 东部 | 中部 | 西部 | 东北部 | |||
| lnP | 0.52*** | 0.65*** | 1.11*** | 1.40*** | 0.65*** | 0.52*** | 0.42*** | 0.91*** | 0.82*** | 0.836*** |
| (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |
| lnN | 0.95*** | 0.07* | 0.12*** | 0.41*** | 1.06*** | 0.54*** | 1.03*** | 0.87*** | 0.83*** | 0.606*** |
| (0.00) | (0.08) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |
| lnA | 0.13*** | 0.17*** | 1.24*** | 0.04** | 0.11 | 0.42** | 0.55** | 0.41*** | 0.10*** | 0.876*** |
| (0.00) | (0.00) | (0.00) | (0.01) | (0.29) | (0.04) | (0.03) | (0.00) | (0.00) | (0.00) | |
| lnI | -0.00 | 0.12*** | 0.44*** | 0.13 | -0.01 | 0.07** | 0.11*** | 0.56*** | 0.21* | 0.319* |
| (0.87) | (0.00) | (0.00) | (0.35) | (0.86) | (0.01) | (0.00) | (0.00) | (0.07) | (0.07) | |
| lnE1 | -0.01 | 0.30*** | 0.11*** | 0.17*** | -0.06** | 0.08 | 0.01 | 0.04 | -0.08* | 0.178*** |
| (0.83) | (0.00) | (0.00) | (0.00) | (0.02) | (0.20) | (0.74) | (0.13) | (0.07) | (0.00) | |
| lnE2 | 0.11*** | -0.18*** | -0.12*** | -0.37*** | 0.00 | -0.09 | 0.10*** | -0.01 | -0.09*** | -0.027 |
| (0.00) | (0.00) | (0.00) | (0.00) | (0.93) | (0.61) | (0.00) | (0.28) | (0.00) | (0.69) | |
| 截距项 | 1.75*** | 0.59*** | 1.24** | -1.78*** | 3.07*** | 3.66*** | 2.19*** | 2.45*** | 1.48*** | 2.012*** |
| (0.00) | (0.00) | (0.02) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |
| R2 | 0.89 | 0.70 | 0.94 | 0.92 | 0.86 | 0.96 | 0.63 | 0.59 | 0.55 | 0.837 |
Tab. 2 Regression results of China's urban and rural domestic energy consumption benchmark
| 变量 | (1) | (2) | (3) | (4) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 乡村 | 城镇 | 城镇 | 乡村 | |||||||
| 东部 | 中部 | 西部 | 东北部 | 东部 | 中部 | 西部 | 东北部 | |||
| lnP | 0.52*** | 0.65*** | 1.11*** | 1.40*** | 0.65*** | 0.52*** | 0.42*** | 0.91*** | 0.82*** | 0.836*** |
| (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |
| lnN | 0.95*** | 0.07* | 0.12*** | 0.41*** | 1.06*** | 0.54*** | 1.03*** | 0.87*** | 0.83*** | 0.606*** |
| (0.00) | (0.08) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |
| lnA | 0.13*** | 0.17*** | 1.24*** | 0.04** | 0.11 | 0.42** | 0.55** | 0.41*** | 0.10*** | 0.876*** |
| (0.00) | (0.00) | (0.00) | (0.01) | (0.29) | (0.04) | (0.03) | (0.00) | (0.00) | (0.00) | |
| lnI | -0.00 | 0.12*** | 0.44*** | 0.13 | -0.01 | 0.07** | 0.11*** | 0.56*** | 0.21* | 0.319* |
| (0.87) | (0.00) | (0.00) | (0.35) | (0.86) | (0.01) | (0.00) | (0.00) | (0.07) | (0.07) | |
| lnE1 | -0.01 | 0.30*** | 0.11*** | 0.17*** | -0.06** | 0.08 | 0.01 | 0.04 | -0.08* | 0.178*** |
| (0.83) | (0.00) | (0.00) | (0.00) | (0.02) | (0.20) | (0.74) | (0.13) | (0.07) | (0.00) | |
| lnE2 | 0.11*** | -0.18*** | -0.12*** | -0.37*** | 0.00 | -0.09 | 0.10*** | -0.01 | -0.09*** | -0.027 |
| (0.00) | (0.00) | (0.00) | (0.00) | (0.93) | (0.61) | (0.00) | (0.28) | (0.00) | (0.69) | |
| 截距项 | 1.75*** | 0.59*** | 1.24** | -1.78*** | 3.07*** | 3.66*** | 2.19*** | 2.45*** | 1.48*** | 2.012*** |
| (0.00) | (0.00) | (0.02) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | (0.00) | |
| R2 | 0.89 | 0.70 | 0.94 | 0.92 | 0.86 | 0.96 | 0.63 | 0.59 | 0.55 | 0.837 |
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