大气污染治理政策文本量化研究——以京津冀城市群为例

doi:10.13776/j.cnki.resourcesindustries.20211122.001

资源与产业 ›› 2022, Vol. 24 ›› Issue (1): 65-72.DOI: 10.13776/j.cnki.resourcesindustries.20211122.001

大气污染治理政策文本量化研究——以京津冀城市群为例

申伟宁^1，2，夏梓莹¹，苏爽¹

（1. 河北经贸大学公共管理学院，河北石家庄 050061；
2. 河北经贸大学发展战略与规划研究室，河北石家庄 050061）

收稿日期:2021-02-10 修回日期:2021-09-09 出版日期:2022-02-20 发布日期:2022-03-13
作者简介:申伟宁，博士、助理研究员，主要从事区域经济学研究。E-mail: shin85@foxmail.com
基金资助:
国家社会科学基金青年项目(19CJL027)；河北省省级科技计划软科学研究专项 (215576106D)；河北省高等学校人文社会科学研究项目(SD2021054)。

QUANTITATIVE RESEARCH ON AIR POLLUTION CONTROL POLICY TEXTS BASED ON BEIJING-TIANJIN-HEBEI (JJJ) CITY CLUSTER

SHEN Weining^{1, 2}, XIA Ziying¹, SU Shuang ¹

（1. School of Public Administration, Hebei University of Economics and Business, Shijiazhuang 050061, China;
2. Institute of Development Strategy and Planning, Hebei University of Economics and Planning, Shijiazhuang 050061, China）

Received:2021-02-10 Revised:2021-09-09 Online:2022-02-20 Published:2022-03-13
About author:E-mail: shin85@foxmail.com

摘要/Abstract

摘要： 通过梳理京津冀城市群大气污染治理政策的文本脉络，探讨各地方政府间的大气污染治理合作意向，为跨区域大气污染协同治理的实现提供参考依据。利用政策文本量化分析法，基于2009—2019年京津冀城市群大气污染治理政策，构建包含“时间、主体、类型、词频、工具、数量”的大气污染治理政策分析逻辑框架，明确当前大气污染治理政策演变规律。研究表明：1）从政策发文时间来看，京津冀城市群大气污染治理政策经历了初步发展期、平稳过渡期与治理稳定期3个阶段；2）从政策发文主体来看，各市发文主体差异化明显，北京、天津、石家庄三地呈现出多元化特征，其余地市较为单一，以市政府发文为主；3）从政策文本类型来看，大气污染治理政策主要集中于“通知”类型，占比高达73%，其余文本类型虽有涉及但频率较低；4）从政策文本词频来看，高频词主要集中于“污染”“企业”“防治”，政策文本来源分别为164件、127件、110件；5）从政策工具类型来看，主要偏重于管制型政策工具，占比达4357%，远高于市场型和自愿型政策工具；6）从政策发文数量来看，各城市发文数量差异较大，联合发文数量较少，大气污染协同治理程度较低，互动性明显不足。京津冀城市群大气污染治理是一项长期且艰巨的系统性工程，要重视多元治理模式、重构新型的政府网络关系以及进一步提升协同治理水平，共同应对大气污染治理问题，实现跨区域大气污染治理的常态化，从而形成大气污染跨区域联防联控联治的协同机制。

关键词: 大气污染治理, 政策文本, 政策工具类型, 京津冀城市群

Abstract: This paper, based on texts of air pollution control policies in JJJ city cluster, discusses the cooperative intentions of local governments and provides references for trans-regional air pollution collaborative controls. This paper uses 2009-2019 air pollution policies in JJJ city cluster to establish an analytical framework composed of time, issuers, types, word frequency, tools and counts, and to determine its evolutionary rule. Viewing from time scale, the air pollution control policy undergoes preliminary developing stage, stable transitional stage and stable control stage. Issuers vary with administrative regions, diversified in Beijing, Tianjin and Shijiazhuang, but comparatively single in other cities as governments. Text types are mainly notice, amounting to 73% with lower frequency in other forms.Word frequencies are highly concentrating on "pollution" "enterprise" and "control", respectively from 164, 127 and 110 policies. Policy tools are mainly on controlling, amounting to 43.57% in counts, far above marketing and volunteering tools. Policy counts vary with cities, less in collaboratively issuing policies, meaning a low collaboration in air pollution control and an insufficient interaction. This paper concludes that air pollution control in JJJ city cluster is a long-term and hard systematical project, which can be achieved by focusing on diversified control models, reconstructing new government network and improving collaborative controlling skills.A trans-regional collaborative mechanism of air pollution control needs to be formed to mutually control air pollution and stabilize trans-regional collaboration.

Key words: air pollution controls, policy texts, policy tool types, Beijing-Tianjin-Hebei city cluster

中图分类号:

F205

申伟宁, 夏梓莹, 苏爽. 大气污染治理政策文本量化研究——以京津冀城市群为例[J]. 资源与产业, 2022, 24(1): 65-72.

SHEN Weining, XIA Ziying, SU Shuang. QUANTITATIVE RESEARCH ON AIR POLLUTION CONTROL POLICY TEXTS BASED ON BEIJING-TIANJIN-HEBEI (JJJ) CITY CLUSTER[J]. Resources & Industries, 2022, 24(1): 65-72.

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[1]	周海炜, 许莹. 基于内容分析法的我国能源安全政策文本量化分析[J]. 资源与产业, 2023, 25(3): 53-68.
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大气污染治理政策文本量化研究——以京津冀城市群为例

QUANTITATIVE RESEARCH ON AIR POLLUTION CONTROL POLICY TEXTS BASED ON BEIJING-TIANJIN-HEBEI (JJJ) CITY CLUSTER

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