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QUANTITATIVE RESEARCH ON AIR POLLUTION CONTROL POLICY TEXTS BASED ON BEIJING-TIANJIN-HEBEI (JJJ) CITY CLUSTER
SHEN Weining, XIA Ziying, SU Shuang
Resources & Industries    2022, 24 (1): 65-72.   DOI: 10.13776/j.cnki.resourcesindustries.20211122.001
Abstract126)      PDF(pc) (2723KB)(260)       Save
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.
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CARBON EMISSION EFFECT OF LAND USE IN ZHEJIANG PROVINCE
SHEN Wei, WENG Lingyan, LIU Binglin, et al
Resources & Industries    2020, 22 (1): 61-68.   DOI: 10.13776/j.cnki.resourcesindustries.20191018.005
Abstract118)      PDF(pc) (8473KB)(100)       Save
To optimize land use structure in Zhejiang province, this paper uses carbon footprint model to estimate the carbon footprint level from 2007 to 2016 and applies decoupling and standard ellipse variance to study the carbon emission effect of land use in Zhejiang province. The results show a growth rate of 4.06% in net carbon emission in Zhejiang province from 2007 to 2016, most from construction land use. Gap between carbon source and carbon sink is enlarging, making low carbon development difficult. Ningbo city ranks the top in net carbon emission, and Lishui city, which is the only city of carbon sink more than carbon source, is at the bottom. The gap of carbon emission in northeast and southwest Zhejiang province is increasing. The GDP per capita in Zhejiang province is of weak decoupling with carbon footprint per capita, with economic development faster than carbon emission rising rate. Lishui is the best and Zhoushan is poor in decoupling. The spatial distribution of net carbon emission and construction land carbon emission is concentrated in northeast Zhejiang province. The farmland carbon emission is sparsely distributed with the center in the southwest.
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RESEARCH ON HEBEI'S REGIONAL ENVIRONMENTAL INEQUALITY
Shen Weining,Jang Hanmo,Zheng Juhua
Resources & Industries    2016, 18 (4): 60-68.   DOI: 10.13776/j.cnki.resourcesindustries.2016.04.017
Abstract11302)      PDF(pc) (3049KB)(10795)       Save

In order to study the regional environmental inequality in Hebei province, this paper selects industrial waste water, SO2, industrial dust emission and industrial energy consumption from 2004—2014 to calculate Hebei's resource environmental Gini coefficient and green contribution coefficient. The resource environmental Gini coefficient of dust emission and energy consumption exceeds the critical point, indicating the existence of regional environmental inequality in Hebei province. Xingtai's green contribution coefficients of the four indexes are less than 1, so is Handan and Tangshan with the exception of industrial water emission, which shows the contribution rate of pollution emission and resource consumption is larger than GDP's contribution rate, and a poor inequality. To improve the situation, Xingtai and Tangshan should adjust their economic developing mode in a coordinated development with resources and environment. This study presents theoretical references for Hebei to rationally allocate its resources and environment.

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