The green state and industrial decarbonisation

ABSTRACT

The large share of carbon emitted by energy-intensive industries in the extraction and processing of basic materials must be limited to decarbonise society and the economy. Ways in which the state can govern industrial decarbonisation and contributes to green state theory are explored by addressing a largely ignored issue: the green state’s industrial relations and its role in industrial governance. With insights from a Swedish case study, the tension between the state’s economic imperative and ecological concerns in greening industry are shown to persist. However, as the energy-intensive industry’s previously privileged position in the economy is weakening, industry is opened to decarbonisation strategies. While the case exposes a number of governance challenges, it also suggests potential areas where the state can pursue decarbonisation in energy-intensive industry and points the way to an active role of the green state in governing industrial decarbonisation and greening industry.     

Renewable energy consumption and its environmental impacts: A meta-regression analysis

This study involves a meta-analytical review of several articles, using the closest assumptions for the independent variable (renewable energy consumption), to determine the relationship with its environmental impacts. Furthermore, Sustainable Development Goal (SDG) in 2015 pays attention to related problems in both developing and developed countries. The effects of carbon emissions, natural resources, renewable energy consumption, and non-renewable energy on the environment are also reviewed. Following the separation of studies, the closest assumption was observed for the independent variable (energy source applications) of renewable energy. The meta-analysis was obtained using OpenMEE and JASP, and the results show the observed outcome, which was expressed in percentage. Based on the analysis, the Renewable Energy model has a value of 0.15, with the largest forest plots of 0.73, 0.69, and 0.80, recorded for studies 13, 19, and 23, respectively, while the least forest plots were recorded for studies 6, 11, 12, 15, 20, 22, 24, 25, 26, and 28. Therefore, renewable energy consumption, specifically in the mining industry, has the capacity to influence global warming. The respective industry has a unique influence on the processes that require renewable energy, for instance, the coal mining industry produces a smaller forest plot value, compared to oil and gas, or other mineral industries.     

哈大齐工业走廊承接产业转移水环境风险评价

为了分析承接产业转移对水环境的影响,以哈大齐工业走廊为研究对象,在分析风险源、胁迫因子、生境、评价终点之间相互作用关系的基础上构建承接产业转移的水环境相对风险评价模型,并将研究区按照行政界线划分为3个风险评价单元,选取哈大齐地区重点承接的污染产业为风险源,选择水域作为风险受体,农田、林地、草地3种生境作为传播胁迫因子的媒介或载体,水质、水量、水生态为评价终点,对哈大齐承接产业转移水环境风险进行了定量评价.结果表明,哈尔滨市为最高风险区,其次是大庆市、齐齐哈尔市,相对风险分别为146.40、110.70和41.16.不同风险小区的最主要风险源不同,哈大齐3个城市主要风险源分别为医药制造业、化学原料与化学制品制造业及食品制造业.相反,各风险小区的主要胁迫因子大致相同,主要有需氧有机污染物、营养物质、生境破坏等.     

化工园区水环境风险公共应急设施布局研究

重大事故状态下,单个化工企业的风险防控设施(应急池等)无法控制事故污水的情形下,整个化工园区的公共应急设施十分必要.在化工园区环境风险特征分析、突发事故次生水环境污染发生过程分析的基础上,提出建立整个化工园区的水环境风险三级防控体系,统一规划布局园区水环境风险公共应急设施,保障事故污水不出园区,根本上提高对事故污水的控制能力,最后以某临港化工园区进行案例分析.     

四平市地区产业发展的资源环境基础研究

资源与环境对经济社会发展的重要性毋庸置疑,一个区域的资源与环境基础状况及与该区域产业发展的匹配程度会对城市发展发生一定影响.四平市产业发展水平的高低,对吉林省乃至东北地区社会经济发展和振兴东北老工业基地发展战略的实施都有着重要影响.论文分析了四平地区产业发展的资源环境基础特征,分别进行了四平市资源本底评价和四平市资源开发潜力评价并得出结论,旨在为四平产业发展规划和发展战略提供参考.     

工业烟尘废气中PM2.5的除尘技术概述

本文通过对不同的常规除尘设备的工作原理以及除尘性能进行研究,重点分析了电袋式混合除尘器、静电旋风式混合除尘器以及湿式电除尘器三种混合除尘器的技术特点,指出混合除尘器和凝并器能有效提高除尘器去除PM2.5的效率,对工业发展和保护大气环境具有重要意义.     

“城市矿产”示范基地——我国再生资源产业化的发展方向

以前三批29个国家＂城市矿产＂示范基地为研究对象,对示范基地的回收利用规模、重点项目覆盖范围、示范基地类型做了概括性梳理,总结了示范基地建设的成功经验,分析了妨碍示范基地健康发展的问题,并提出一些预测性意见,供行业同仁参考。     

西部资源型城市发展工业旅游的SWOT分析——以贵州六盘水市为例

工业旅游是一种新的旅游形式,有力推动了旅游业的全面发展.六盘水拥有较多有特色的工矿企业,但旅游业在其中未发挥应有的作用.运用SWOT分析法对六盘水发展工业旅游的可行性进行了梳理,并提出了六盘水发展工业旅游的意见和建议.     

浙江省工业循环经济典型推进模式研究

浙江省在经济快速发展的同时,资源环境的约束越来越明显,发展循环经济成为浙江经济转型升级,实现可持续发展的必由之路。省内各县市结合自身特点,在大力推进工业循环化发展中,呈现出传统产业集聚提升、优势产业补链延伸、静脉产业整合改造三种典型的推进模式。依托良好的市场竞争环境、产业集聚的规模效应、循环经济技术的不断进步和绿色政策的有力保障,浙江省工业循环经济的发展态势良好,对中国工业循环经济的推进发展具有一定的启发和示范意义。     

排污权交易定价下的COD和氨氮削减成本分析研究

调查测算了工业废水COD和氨氮削减成本并进行了分析。总成本中折旧费和日常运行费各占35%和65%;COD和氨氮削减成本为1 287元/t~29 035元/t和2 433元/t~46 560元/t,加权均值为4 936元/t和17 755元/t,二者之比为3.60∶1,90%置信区间为(4 647,8 514)和(13 989,24 617);70%和63.2%的企业以6 837元/t和20 083元/t以内的成本削减了73.7%的COD和42.1%的氨氮。不同企业和行业COD和氨氮削减成本差异明显,以概率分布确定综合成本用于排污权交易定价可能更合理。