技术经济

新能源示范城市建设能否提升环境福利绩效？——基于自然地理与社会经济要素的双重视角

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周德才 ¹ , 戴豪宇 ² , 黄凯 ¹

技术经济 | 技术经济评价 2026,45(5): 109-124

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技术经济 |技术经济评价 2026 , 45 (5) : 109 -124

新能源示范城市建设能否提升环境福利绩效？——基于自然地理与社会经济要素的双重视角

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黄凯（1991—），南昌大学经济管理学院博士研究生，研究方向：机器学习统计。

周德才¹, 戴豪宇², 黄凯¹

作者信息

^1．南昌大学经济管理学院，南昌 330031

^2．武汉大学经济与管理学院，武汉 430072

通讯作者:

戴豪宇（2004—），武汉大学经济管理学院硕士研究生，研究方向：技术经济；

作者简介:

周德才（1976—），博士，南昌大学经济管理学院教授，研究方向：金融经济；

黄凯（1991—），南昌大学经济管理学院博士研究生，研究方向：机器学习统计。

New Energy Demonstration City and Environmental Welfare Performance: Based on the Dual Perspective of Natural Geographic and Socio-Economic Elements

Decai Zhou¹, Haoyu Dai², Kai Huang¹

Affiliations

^1.School of Economics and Management, Nanchang University, Nanchang 330031, China

^2.School of Economics and Management, Wuhan University, Wuhan 430072, China

出版时间: 2026-05-25 doi: 10.12404/j.issn.1002-980X.J25120322

文章导航

摘要

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新能源示范城市（NEDC）政策是推动能源转型与实现“双碳”目标的重要措施，系统地评估其对环境福利绩效的影响对于增进能源的可持续化与居民福祉至关重要。将经济发展、环境污染与居民健康因素同时纳入环境福利绩效，并运用两阶段网络超效率SBM对其进行测算，进而就NEDC政策对环境福利绩效的影响进行评估。研究发现：第一，NEDC政策显著促进了环境福利绩效的提升，在进行一系列稳健性检验后，结论依然成立。第二，环境规制，平均气温在NEDC政策对环境福利绩效的影响过程中发挥正向调节作用，平均海拔发挥负向调节作用，NEDC政策通过提升能源利用效率与新型基础设施建设促进环境福利绩效的提升。第三，在地理区位上，NEDC政策对环境福利绩效的影响在东部地区、南方地区的作用更加显著，在“胡焕庸”线两侧地区均显著；在城市特征上，对超大型城市、中心城市及具有碳交易平台的城市促进作用更加显著，对特大城市反而具有抑制作用。第四，NEDC政策对环境福利绩效的影响存在正向的空间溢出效应。研究为政府优化能源发展与增进居民福祉提供政策启示。

关键词

新能源示范城市 / 环境福利绩效 / 两阶段网络超效率SBM / 自然地理要素 / 社会经济要素 / 双重机器学习

Abstract

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The New Energy Demonstration City (NEDC) policy is a crucial measure to promote energy transition and achieve the "dual carbon" goals. A systematic assessment of its impact on environmental welfare performance is essential for advancing sustainable energy development and enhancing residents' well-being. Economic development, environmental pollution, and residents' health factors were simultaneously incorporated into the measurement of environmental welfare performance. A two-stage network super-efficiency SBM model was applied to calculate this indicator, and the impact of the NEDC policy on environmental welfare performance is evaluated. The findings are as follows. First, the NEDC policy significantly improves environmental welfare performance, and this conclusion remains valid after a series of robustness tests. Second, environmental regulation and average temperature play positive moderating roles in the impact of the NEDC policy on environmental welfare performance, while average altitude exerts a negative moderating effect. The NEDC policy promotes the improvement of environmental welfare performance by enhancing energy utilization efficiency and new infrastructure construction. Third, in terms of geographical location, the impact of the NEDC policy on environmental welfare performance is more significant in eastern and southern China, and is significant in regions on both sides of the "Hu Huanyong Line". In terms of urban characteristics, the promotion effect is more pronounced in megacities, central cities, and cities with carbon trading platforms, while it has an inhibitory effect in large megacities. Fourth, the impact of the NEDC policy on environmental welfare performance has a positive spatial spillover effect. It provides policy implications for the government to optimize energy development and improve residents' well-being.

Key words

new energy demonstration city / environmental welfare performance / two-stage network super-efficiency SBM / natural geographic elements / socio-economic elements / dual machine learning

引用本文

周德才, 戴豪宇, 黄凯. 新能源示范城市建设能否提升环境福利绩效？——基于自然地理与社会经济要素的双重视角. 技术经济, 2026 , 45 (5) : 109 -124 . DOI: 10.12404/j.issn.1002-980X.J25120322

Decai Zhou, Haoyu Dai, Kai Huang. New Energy Demonstration City and Environmental Welfare Performance: Based on the Dual Perspective of Natural Geographic and Socio-Economic Elements[J]. Journal of Technology Economics, 2026 , 45 (5) : 109 -124 . DOI: 10.12404/j.issn.1002-980X.J25120322

基金

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国家社会科学基金一般项目“基于混频大数据的经济不确定性实时灵活动态测度及其风险预测与预警研究”(22BTJ015)
江西省高校人文社会科学研究一般项目“基于多尺度框架的中国系统性金融风险高维灵活时变测度、传导机制及防范对策研究”(TJ24102)
江西省教育科学“十四五”规划课题重点项目“高等教育影响中国式经济现代化的效应测度、路径优化及其耦合协调度研究”(23ZD001)

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2026年第45卷第5期

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文章信息

doi: 10.12404/j.issn.1002-980X.J25120322

接收时间：2025-12-03
首发时间：2026-10-28
出版时间：2026-05-25

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文章信息

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出版历史

收稿日期：2025-12-03

基金

国家社会科学基金一般项目“基于混频大数据的经济不确定性实时灵活动态测度及其风险预测与预警研究”(22BTJ015)

江西省高校人文社会科学研究一般项目“基于多尺度框架的中国系统性金融风险高维灵活时变测度、传导机制及防范对策研究”(TJ24102)

江西省教育科学“十四五”规划课题重点项目“高等教育影响中国式经济现代化的效应测度、路径优化及其耦合协调度研究”(23ZD001)

作者信息

^1．南昌大学经济管理学院，南昌 330031

^2．武汉大学经济与管理学院，武汉 430072

通讯作者:

戴豪宇（2004—），武汉大学经济管理学院硕士研究生，研究方向：技术经济；

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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