在如今社会飞速发展的浪潮下，气候变暖是全球气候变动的必然结果，而温室气体是造成气候变暖的罪魁祸首。中国的经济增速近年来将会继续维持在一个相对较高的水平，从而促进居民的收入水平的提高，从而导致了人均能耗的提高，并导致了更严重的环境污染。如何平衡经济飞速发展和环境保护成为社会各界普遍关注的重要议题。政府希望通过实施相应的环境政策来改善环境质量，但是环境政策法规的强制性措施可能会不利于某些行业的发展，从而影响一个区域的经济状况。因此如何在环境保护和经济发展间进行有效地权衡，具有非常重要的现实研究意义。
中国城镇化的迅速发展，将会引起对能源的巨大需求。在城市区域内进行大型的基础设施建设，会耗费大量的钢材、水泥等原材料，同时也会耗费大量的能源，从而导致大量的环境污染。随着城镇居民生活水平的提高，居民的消费需求也日益增长，这一方面会加大能源密集型产品的消耗，另一方面也会刺激对物流配送方面的需求。相较农村居民来说，城镇居民会消耗更多能源从而排放大量的二氧化碳。为应对上述提到的状况，以“低能耗、低污染、高效率”为代表性特征的新型城镇化战略也应运而生。由此来说，探索环境监管力度与新型城镇化发展的关系就显得尤为重要。若
要探讨在当今一个区域的新型城镇化水平受到的各种环境政策调控的具体影响状况，则该区域物流建设能力的提升以及随之而来的各项碳排放问题必将成为我们所关注的重点。物流是一种将运输、仓储、信息融合在一起的全面性服务行业，它是一个地区经济发展的重要支撑，但是物流业涉及交通运输和人员流动，从而存在能源消耗量高，碳排放量巨大等问题，这便对该区域新型城镇化发展和绿色生态环境保护形成了巨大挑战。
为了探索出环境规制、区域低碳物流能力与新型城镇化水平三者之间的相互关系，在考虑了中国中部六省地区（山西、安徽、湖北、湖南、河南和江西）拥有承东启西和连接南北的区位优势和显著的城乡结构差异后，本文以中部六省2005—2019年的省际面板数据为基础，通过应用熵权法进行指标构建，对该区域的低碳物流能力和新型城镇化水平进行具体量化，并借由静态面板回归的个体固定效应模型来探究环境规制、区域低碳物流能力与新型城镇化水平三者之间的关系。基于实证研究的结果，从环境治理、物流建设、城镇发展等多个角度分别给出政策建议。本文主要研究结果如下：第一，在研究的时期内，环境规制强度与新型城镇化水平整体呈上升趋势，环境规制与新型城镇化水平两者具有显著的正向关联。第二，在新型城镇化发展方面，六省整体都呈稳步升高的态势，具体来看，江西省一直处于新型城镇化水平较高的阶段，而河南省的新型城镇化水平则相较偏低。希望河南省在创新领域可以开辟新的道路，提升区域竞争力，成为中部省份的中坚力量。第三，环境规制对新型城镇化水平的影响有一部分是通过提升一个地区内的区域低碳物流能力来实现的，环境规制能通过政策工具、加强绿色生产效率等方面显著提高一个地区的低碳物流能力，
并从而间接促进了地区的新型城镇化发展，区域低碳物流能力起到了中介传导效应。

In today’s wave of rapid social development, climate warming is the inevitable result of global climate change, and greenhouse gases are the main culprit of climate warming. China’s economic
growth will continue at a relatively high level in recent years, which will lead to higher income levels, higher per capita energy consumption, and more serious environmental pollution.
The balance between rapid economic development and environmental protection has become an important issue of concern for all sectors of society. The government hopes to
improve environmental quality by implementing appropriate environmental policies, but the mandatory measures of environmental policies and regulations may be detrimental to the
development of certain industries, thus affecting the economic situation of a region. Therefore, it is very important to study how to make effective trade-offs between environmental protection and economic development.

The rapid development of urbanization in China will cause a huge energy demand. Largescale infrastructure construction in urban areas will consume large amounts of steel, cement, and other raw materials, as well as a large amount of energy, which will lead to a lot of environmental pollution. With the improvement of living standards of urban residents, their consumption needs are also increasing, which will increase the consumption of energy-intensive products on the one hand and stimulate the demand for logistics and distribution on the other. Compared to rural residents, urban residents consume more energy and thus emit more CO2. In response to the above-mentioned situation, a new urbanization strategy with the representative characteristics of ”low energy consumption, low pollution, and high efficiency” has
emerged. Thus, it is particularly important to explore the relationship between the strength of environmental regulation and the development of new urbanization. The improvement of
logistics capacity and the consequent carbon emissions will be the focus of our attention if we want to explore the specific impact of various environmental policies on the level of new urbanization in a region today. Logistics is a comprehensive service industry that integrates transportation, storage, and information and is an important support for the economic development of a region. However, logistics involves the transportation and movement of people, resulting in high energy consumption and huge carbon emissions, which poses a great challenge to the development of new urbanization and green ecological environment protection
in the region.

To explore the interrelationship between environmental regulation, regional low-carbon logistics capacity, and new urbanization level, after considering the location advantages of the six central provinces of China (Shanxi, Anhui, Hubei, Hunan, Henan, and Jiangxi), which have the advantages of bearing east and connecting north and south, and the significant urbanrural
structure differences, this paper uses the inter-provincial panel data of the six central provinces from 2005 to 2019 to explore the specific relationship between environmental regulation, regional low-carbon logistics capacity, and new urbanization level. Based on the data, this paper specifically quantifies the low-carbon logistics capacity and new urbanization level of the region by applying the entropy weight method for indicator construction and explores the relationship between environmental regulation, regional low-carbon logistics capacity, and new urbanization level using individual fixed-effects models of static panel regression.
Based on the results of the empirical study, policy recommendations are given from various perspectives, including environmental regulation, logistics construction, and urban development, respectively. The main findings of this paper are as follows: first, the intensity of environmental regulation and the level of new urbanization shows an overall increasing trend in
the period under study, and there is a significant positive association between environmental regulation and the level of new urbanization. Second, in terms of new urbanization development, all six provinces show a steady increase in the overall trend, specifically, Jiangxi Province has been at a high level of new urbanization, while the new urbanization level in
Henan Province is relatively low. It is hoped that Henan Province can open up new paths in the field of i nnovation, enhance regional c ompetitiveness, and become the backbone of
the central provinces. Thirdly, the impact of environmental regulation on the new urbanization level is partly achieved by improving the regional low-carbon logistics capacity within
a region. Environmental regulation can significantly improve the low-carbon logistics capacity of a region through policy tools and strengthening green production efficiency, and thus indirectly promote the development of new urbanization in the region, and the regional low-carbon logistics capacity plays a mediating role.

[1] 胡鞍钢. 中国实现 2030 年前碳达峰目标及主要途径[J]. 北京工业大学学报（社会科学版）, 2021, 21(3): 1-15.
[2] 王金南, 逯元堂, 吴舜泽, 等. 国家“十二五”环保产业预测及政策分析[J]. 中国环保产业, 2010, 6(62): 64.
[3] NAVICKAS V, SUJETA L, VOJTOVICH S. Logistics systems as a factor of country’s competi- tiveness[J]. Ekonomika ir vadyba, 2011(16): 231-237.
[4] PIECYK M I, MCKINNON A C. Forecasting the carbon footprint of road freight transport in 2020 [J]. International journal of production economics, 2010, 128(1): 31-42.
[5] AMBEC S, COHEN M A, ELGIE S, et al. The Porter hypothesis at 20: can environmental regulation enhance innovation and competitiveness?[J]. Review of environmental economics and policy, 2013.
[6] 蔡守秋. 环境政策学[Z]. 2009.
[7] 李春霞, 焦大航. 环境经济视角下秦皇岛市农村环境污染问题及其治理对策研究[J]. 知识经济, 2016(21): 32-32.
[8] WU H J, DUNN S C. Environmentally responsible logistics systems[J]. International journal of physical distribution & logistics management, 1995,36(2),93-111.
[9] 黄理平. 生态学对 21 世纪社会的影响[J]. 理论前沿, 2001(6): 18-19.
[10] 陈泽环. 敬畏生命——阿尔贝特·施韦泽的哲学和伦理思想研究[M]. BEIJING BOOK CO. INC., 2017.
[11] WANG M, CHE Y, YANG K, et al. A local-scale low-carbon plan based on the STIRPAT model and the scenario method: The case of Minhang District, Shanghai, China[J]. Energy Policy, 2011, 39(11): 6981-6990.
[12] MULUGETTA Y, URBAN F. Deliberating on low carbon development[J]. Energy policy, 2010, 38(12): 7546-7549.
[13] 沙里宁, 顾启源, 建筑科学. 城市: 它的发展衰败与未来[M]. 中国建筑工业出版社, 1986.
[14] CHRISTALLER W. 德国南部中心地原理[M]. Shang wu yin shu guan, 2010.
[15] 彼得, 霍尔, 黄怡. 城镇, 农村和城镇—农村体: 三磁体[J]. 时代建筑, 2011(5): 24-27.
[16] HALL T, BARRETT H. Urban geography[M]. Routledge, 2018.
[17] 植草益, 朱绍文. 微观规制经济学[M]. 中国发展出版社, 1992.
[18] 沈芳. 环境规制的工具选择: 成本与收益的不确定性及诱发性技术革新的影响[J]. 当代财经, 2004(6): 10-12.
[19] 匡瑾璘, 杨东红. 石油化工园区生态化建设的环境伦理准则[J]. 中外能源, 2012(6): 80-84.
[20] 范学谦. 全球化下低碳物流发展研究[D]. 2012.
[21] 徐旭. 低碳物流的内涵, 特征及发展模式[J]. 商业研究, 2011, 4(18): 3-187.
[22] 宋丽娜. 丝绸之路经济带我国沿线区域低碳物流绩效差异研究[D]. 郑州大学, 2018.
[23] 董千里, 路春涛, 张凯. 陕西省区域物流信息化战略及其实施[J]. 长安大学学报: 社会科学版, 2006, 8(3): 8-11.
[24] 海峰, 张丽立, 孙淑生. 区域现代物流模式探讨[J]. 经济管理, 2005(20): 44-50.
[25] 康春鹏. 中国城镇化发展的政策演变与研究综述[J]. 经济研究参考, 2013(18): 44-49.
[26] 姚士谋, 张平宇, 余成, 等. 中国新型城镇化理论与实践问题[J]. 地理科学, 2014, 34(6): 641-647.
[27] 吉宁, 尤海英, 李保收, 等. 陆上终端节能减排, 信息化建设的探索[J]. 石油和化工节能, 2013(1): 41-44.
[28] MLER K. Economic growth and the environment[Z]. 2013:25-30.
[29] BERRONE P, FOSFURI A, GELABERT L, et al. Necessity as the mother of‘green’inventions: In- stitutional pressures and environmental innovations[J]. Strategic Management Journal, 2013, 34(8): 891-909.
[30] DU G, YU M, SUN C, et al. Green innovation effect of emission trading policy on pilot areas and neighboring areas: An analysis based on the spatial econometric model[J]. Energy Policy, 2021, 156: 112431.
[31] ZHANG D, KONG Q. How does energy policy affect firms’ outward foreign direct investment: An explanation based on investment motivation and firms’ performance[J]. Energy Policy, 2021, 158: 112548.
[32] WILSON J S, CLAY M, MARTIN E, et al. Evaluating environmental influences of zoning in urban ecosystems with remote sensing[J]. Remote sensing of environment, 2003, 86(3): 303-321.
[33] 仇怡, 文红艳. 基于 AHP 的中部地区承接沿海产业转移优势行业选择研究[J]. 湖南科技大学学报: 社会科学版, 2013, 16(1): 121-127.
[34] 孙玉阳, 穆怀中, 范洪敏, 等. 环境规制对产业结构升级异质联动效应研究[J]. 工业技术经济, 2020, 39(4): 89-95.
[35] 陆大道, 陈明星, 等. 关于“国家新型城镇化规划 (2014-2020)”编制大背景的几点认识[J]. 地理学报, 2015, 70(02):179-185.
[36] 高志刚, 杨柳. 中国西北地区环境规制强度与城镇化质量的协调性分析[J]. 生态经济, 2021,37 (04):70-79.
[37] 郑晓舟, 郭晗, 卢山冰, 等. 中国十大城市群环境规制与产业结构升级的耦合协调发展研究[J]. 经济问题探索, 2021(06):93-111.
[38] 杨建亮, 陈铮铮. 环境规制, 新型城镇化与区域经济增长: 基于我国 30 省份空间杜宾模型的实证研究[J]. 生态经济, 2021, 37(6): 165-171.
[39] 李泽众, 沈开艳. 环境规制对中国新型城镇化水平的空间溢出效应研究[J]. 上海经济研究,2019(02):21-32.
[40] 王小兰, 王海明, 王旭熙. 新型城镇化水平与生态环境压力脱钩关系时空差异分析——以四川省绵阳市为例[J]. 中国农业资源与区划, 2019, 40(3): 121-129.
[41] 祝志川, 刘博, 和军. 中国乡村振兴, 新型城镇化与生态环境协同发展测度分析[J]. 经济问题探索, 2022(07):13-28.
[42] 王鑫滨, 赵雅媛, 熊建新. 洞庭湖区新型城镇化与生态环境耦合协调度时空分异及其影响因素
[J]. 湖南文理学院学报(自然科学版),2022, 34(2): 23-30, 49.
[43] 柯小玲, 闵园园, 郭海湘, 等. 新型城镇化与城市生态环境的时空耦合分析: 以湖北省为例[J]. 环境科学与技术, 2021,44(10):213-222.
[44] 朱艳娜, 何刚, 张贵生, 等. 皖江示范区新型城镇化与生态环境耦合协调及空间分异研究[J]. 安全与环境学报, 2021, 21(6): 2865-2874.
[45] ZHU W, FEI Q. A Petri-Net Modeling Method of Agent’s Belief-Desire-Intention and Its Appli- cation in Logistics[J]. Advances in Neural Network Research and Applications, 2010: 837-844.
[46] UBEDA S, ARCELUS F J, FAULIN J. Green logistics at Eroski: A case study[J]. International Journal of Production Economics, 2011, 131(1): 44-51.
[47] LU M, XIE R, CHEN P, et al. Green transportation and logistics performance: An improved com- posite index[J]. Sustainability, 2019, 11(10): 2976.
[48] HE Z, CHEN P, LIU H, et al. Performance measurement system and strategies for developing low- carbon logistics: A case study in China[J]. Journal of Cleaner Production, 2017, 156: 395-405.
[49] 曹俊文, 周丽. 长三角地区物流业碳排放时空分布及其影响因素研究[J]. 统计与决策, 2021(10): 79-83.
[50] YANG L, CAI Y, ZHONG X, et al. A carbon emission evaluation for an integrated logistics system
—a case study of the port of Shenzhen[J]. Sustainability, 2017, 9(3): 462.
[51] 吴彪, 汪凯, 邱绍浪, 等. 区域物流与新型城镇化时空耦合演变特性[J]. 公路交通科技, 174-181.
[52] YANG G. System Dynamics Analysis On The Development Of The Low-Carbon Logistics[J]. Lo- gistics Sci-Tech, 2012, 12: 32-35.
[53] 周泰, 陈煜, 杨嘉铃. 区域低碳物流能力协调发展水平测度研究[J]. 中南林业科技大学学报 (社会科学版), 2021,15(04):34-42.
[54] GYAMFI B A. Consumption-based carbon emission and foreign direct investment in oil-producing Sub-Sahara African countries: the role of natural resources and urbanization[J]. Environmental Sci- ence and Pollution Research, 2022, 29(9): 13154-13166.
[55] DENG F, XU L, FANG Y, et al. PCA-DEA-tobit regression assessment with carbon emission con- straints of China’s logistics industry[J]. Journal of Cleaner Production, 2020, 271: 122548.
[56] TANG S, WANG W, YAN H, et al. Low carbon logistics: Reducing shipment frequency to cut carbon emissions[J]. International Journal of Production Economics, 2015, 164: 339-350.
[57] YANG J, DENG Z. The Interactive Effect of Chinese Logistics Industry Development and Urbaniza- tion Construction[C]//2014 Seventh International Joint Conference on Computational Sciences and Optimization. 2014: 143-146.
[58] SMITH A. An Inquiry into the Nature and Causes of the Wealth of Nations[M]. BoD–Books on Demand, 2023.
[59] 李茜. 物流业发展与城镇化率的关系研究——基于 2000-2012 年的面板数据分析[J]. 物流技术, 2014, 33(11): 305-307.
[60] 龚翔, 朱万春. 低碳经济环境下物流业网络构建对城镇化发展的影响 [J]. 生态经济, 2021, 37 (03):5.
[61] 张晶, 蔡建峰. 我国物流业碳排放区域差异测度与分解[J]. 中国流通经济, 2014, 28(8): 25-30.
[62] 包耀东, 李晏墅, 张世忠. 长三角区域物流业碳排放规模及其影响因素研究[J]. 生态经济, 2020, 36(11): 25-31.
[63] LIU W, TONG J, YUE X. How does environmental regulation affect industrial transformation? A study based on the methodology of policy simulation[J]. Mathematical Problems in Engineering, 2016,1-10.
[64] GYAMFI B A, ONIFADE S T, NWANI C, et al. Accounting for the combined impacts of natural resources rent, income level, and energy consumption on environmental quality of G7 economies: a panel quantile regression approach[J]. Environmental Science and Pollution Research, 2022, 29(2): 2806-2818.
[65] WANG X, SHAO Q. Non-linear effects of heterogeneous environmental regulations on green growth in G20 countries: Evidence from panel threshold regression[J]. Science of the Total Environment, 2019, 660: 1346-1354.
[66] LI X, LU Z, HOU Y, et al. The coupling coordination degree between urbanization and air envi- ronment in the Beijing (Jing)-Tianjin (Jin)-Hebei (Ji) urban agglomeration[J]. Ecological Indicators, 2022, 137: 108787.
[67] ZHU S, HE C, LIU Y. Going green or going away: Environmental regulation, economic geography and firms’strategies in China’s pollution-intensive industries[J]. Geoforum, 2014, 55: 53-65.
[68] LI B, WU S. Effects of local and civil environmental regulation on green total factor productivity in China: A spatial Durbin econometric analysis[J]. Journal of Cleaner Production, 2017, 153: 342-353.
[69] HUI-JUAN X, GUO-SHUN W. Notice of Retraction: A study of driving factors of logistics service enterprises’ capacity evolvement in low-carbon economy[C]//2011 2nd IEEE International Confer- ence on Emergency Management and Management Sciences. 2011: 266-269.
[70] LI M, WANG J. Spatial-temporal evolution and influencing factors of total factor productivity in
China’s logistics industry under low-carbon constraints[J]. Environmental Science and Pollution Research, 2022, 29(1): 883-900.
[71] SUN J, WANG J, WANG T, et al. Urbanization, economic growth, and environmental pollution: Partial differential analysis based on the spatial Durbin model[J]. Management of Environmental Quality: An International Journal, 2019, 30(2): 483-494.
[72] JIANSHENG W, ZHE F, YANG G, et al. Research on ecological effects of urban land policy based on DLS model: A case study on Shenzhen City[J]. Acta Geographica Sinica, 2014, 69(11): 1673- 1682.
[73] 陈英姿, 王一帆. 我国新型城镇化战略中的循环经济建设研究[J]. 人口学刊, 2015(6): 68-75.
[74] 吕越, 江海鸿, 徐东阳. 新型城市化进程和生态环境承载力的耦合研究——以陕西省为例[J]. 绍兴文理学院学报, 2018, 38(8): 108-114.
[75] WANG Y, YU Z, HOU Y. The Effects of Environmental Regulation and Low-Carbon Logistics Capacity on the Level of New Urbanization in Six Central Provinces of China[J]. Sustainability, 2022, 14(19): 12686.