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Editorial: Co-creating knowledge for community resilience to sustainability challenges 社论:共同创造知识,提高社区应对可持续性挑战的能力
Pub Date : 2024-07-18 DOI: 10.3389/fenvs.2024.1456992
Maureen G. Reed, Liette Vasseur
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引用次数: 0
Institutional pressure and low carbon innovation policy: the role of EMS, environmental interpretations and governance heterogeneity 制度压力与低碳创新政策:环境管理体系、环境解释和治理异质性的作用
Pub Date : 2024-07-16 DOI: 10.3389/fenvs.2024.1385062
Yuning Mu, Taozhen Huang, Nayab Saleem, Abdul Hanan Hassan
As the global community deals with the urgent need for sustainable development, the formulation and implementation of effective low carbon innovation policies have emerged as a critical challenge. However, the extant literature is unclear in examining low carbon innovation policy. Underpinned by institutional theory, the current study addresses the role of institutional pressure in the development of low carbon innovation policies. Additionally, the study examines the role of environmental management systems as a mediation and environmental interpretations and governance heterogeneity as moderators. Methodologically, the data were collected from the manufacturing sector of Pakistan. The findings suggest that institutional pressure greatly influences low carbon innovation policies. Furthermore, the findings from environmental management systems strongly suggest that they significantly encourage institutional pressure on low carbon innovation. Additionally, the roles of environmental interpretations and governance heterogeneity have a significant effect on the relationship. We use a non-profitability sampling technique. In October 2023, a total of 432 questionnaires were disseminated to manufacturing firms, yielding 299 valid responses for Time-1 and Time-2, respectively.
随着全球社会应对可持续发展的迫切需要,制定和实施有效的低碳创新政策已成为一项严峻的挑战。然而,现有文献对低碳创新政策的研究并不清晰。本研究以制度理论为基础,探讨了制度压力在低碳创新政策制定中的作用。此外,本研究还探讨了环境管理制度的中介作用以及环境解释和治理异质性的调节作用。在方法论上,数据收集自巴基斯坦的制造业。研究结果表明,制度压力在很大程度上影响着低碳创新政策。此外,环境管理系统的研究结果强烈表明,它们极大地鼓励了低碳创新的制度压力。此外,环境解释和治理异质性对两者之间的关系也有显著影响。我们采用了非营利性抽样技术。2023 年 10 月,我们共向制造业企业发放了 432 份问卷,在时间-1 和时间-2 分别获得了 299 份有效答卷。
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引用次数: 0
Synergic effect of thermo-chemical pretreatment of waste-activated sludge on bio-methane enhancement 废物活性污泥热化学预处理对生物甲烷增效的协同效应
Pub Date : 2024-07-16 DOI: 10.3389/fenvs.2024.1419102
A. M. Almegbl, F. Munshi, A. Khursheed
Sustainable and environmentally friendly energy production is feasible via anaerobic digestion (AD) of organic wastes, such as waste-activated sludge (WAS). However, due to its limited degradation, a pretreatment strategy is applied to WAS to enhance its bio-degradation and, thus, biogas yield. Alkaline (0.5%–9% g NaOH/gTS, 30 min), microwave (MW) (90°C–175°C), and hybrid (0.5% g NaOH/gTS +125°C) pretreatments were applied to WAS. The characterization of untreated and pretreated WAS revealed that with higher alkaline and MW pretreatment, the soluble chemical oxygen demand (sCOD), carbohydrate, and protein increased; however, the readily biodegradable COD (rbCOD) rate was unlike the sCOD. The sCOD was 7%–18%, 8%–23%, and 37% for alkaline, MW, and hybrid pretreatments, respectively. Stronger alkaline and MW pretreatment induced higher turbidity, capillary suction time, and lower average particle size. AD of alkaline-, MW-, and hybrid-pretreated WAS produced 94% (0.5% NaOH), 125% (MW at 125°C), and 199% (0.5% NaOH and MW at 125°C) increased biogas, respectively, compared to the AD of untreated sludge. The AD data on the alkaline-, MW-, and hybrid-pretreated BMP assays fitted well with the modified Gompertz model with a coefficient of determination above 0.95. The PCA analysis showed that biogas production is closely correlated with pretreatment temperature, VFA production, rbCOD, sCOD, and soluble carbohydrates and protein. Microbial genome sequencing analysis showed an improvement in microbial abundance and diversity. Acetoclastic methanogen (Methanothrix) growth was improved by 37% (MW pretreatment). Abundances of Methanosarcina, using all three metabolic pathways for methanogenesis, were 17, 21, 11, and 48% in the control, alkaline-, MW-, and hybrid-pretreated digestate, respectively, corresponding to 186% improvement in hybrid pretreatment when compared to the control.
通过对废物活性污泥(WAS)等有机废物进行厌氧消化(AD),可以生产可持续的环保能源。然而,由于 WAS 的降解能力有限,因此需要对其进行预处理,以提高其生物降解能力,从而提高沼气产量。对 WAS 采用了碱性(0.5%-9% g NaOH/gTS,30 分钟)、微波(MW)(90°C-175°C)和混合(0.5% g NaOH/gTS +125°C)预处理。对未经处理和预处理的废水进行表征后发现,随着碱性和 MW 预处理程度的提高,可溶性化学需氧量(sCOD)、碳水化合物和蛋白质都有所增加;但是,易生物降解 COD(rbCOD)的速率与 sCOD 不同。碱性、MW 和混合预处理的 sCOD 分别为 7%-18%、8%-23% 和 37%。较强的碱性和 MW 预处理会导致较高的浊度、毛细管抽吸时间和较低的平均粒径。与未处理污泥的 AD 相比,经碱性、MW 和混合预处理的 WAS AD 产生的沼气分别增加了 94%(0.5% NaOH)、125%(MW,125°C)和 199%(0.5% NaOH 和 MW,125°C)。经碱性、MW 和混合预处理的 BMP 试验的厌氧消化数据与改进的 Gompertz 模型非常吻合,决定系数高于 0.95。PCA 分析表明,沼气产量与预处理温度、VFA 产量、rbCOD、sCOD 以及可溶性碳水化合物和蛋白质密切相关。微生物基因组测序分析表明,微生物丰度和多样性有所提高。醋酸甲烷菌(Methanothrix)的生长提高了 37%(MW 预处理)。在对照组、碱性、MW 和混合预处理的沼渣中,利用所有三种代谢途径产甲烷的 Methanosarcina 的丰度分别为 17%、21%、11% 和 48%,与对照组相比,混合预处理的效果提高了 186%。
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引用次数: 0
Environmental liability insurance, green innovation, and mediation effect study 环境责任保险、绿色创新和中介效应研究
Pub Date : 2024-07-15 DOI: 10.3389/fenvs.2024.1363199
Yu Chen, Yuantao Xie
This paper begins by establishing a three-party game model involving three key players: the insurer, the firm, and the government. This model is used to analyze the utility of each party in various scenarios, one of which encourages green innovation within the firm. According to this model, when the insurer rejects insurance coverage and the government maintains a neutral stance on environmental liability insurance, the firm may opt to engage in green innovation. Green innovation fundamentally serves as a mechanism to mitigate environmental pollution risks stemming from the firm’s operational processes. In cases where the insurer declines underwriting, it becomes rational for the firm to enhance its risk management through green innovation, which can be viewed as a mitigating factor in the context of environmental liability insurance. To comprehensively examine the overall impact of environmental liability insurance on the green innovation endeavors of firms, we use a mediation effect model utilizing firm-level data from heavily polluting industries. This paper delves into the intricate relationship between environmental liability insurance and the capacity of heavily polluting firms to engage in green innovation, along with the mediating influence of financing constraints between these two factors. The findings of this analysis suggest that the acquisition of environmental liability insurance enhances the green innovation capabilities of firms operating in heavily polluting industries by alleviating financing constraints, serving as a mediating factor in this regard.
本文首先建立了一个三方博弈模型,涉及三个主要参与者:保险公司、企业和政府。该模型用于分析各方在各种情况下的效用,其中一种情况是鼓励企业内部的绿色创新。根据该模型,当保险公司拒绝承保,而政府对环境责任保险保持中立立场时,企业可能会选择进行绿色创新。绿色创新从根本上说是一种机制,可以降低企业运营过程中产生的环境污染风险。在保险公司拒绝承保的情况下,企业通过绿色创新加强风险管理就变得非常理性,这可以被视为环境责任保险中的一个缓解因素。为了全面考察环境责任保险对企业绿色创新努力的整体影响,我们利用重污染行业的企业层面数据,采用了中介效应模型。本文深入研究了环境责任保险与重污染企业绿色创新能力之间错综复杂的关系,以及融资约束在这两个因素之间的中介影响。分析结果表明,购买环境责任保险可以缓解融资约束,从而提高重污染行业企业的绿色创新能力,并成为这方面的中介因素。
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引用次数: 0
Evolution and prediction of rural ecological environment quality in eastern coastal area of China 中国东部沿海地区农村生态环境质量演变与预测
Pub Date : 2024-07-15 DOI: 10.3389/fenvs.2024.1403342
Chao Ying, Yifan Li, Yuxin Chen, Jie Zhong, Shunyi Ai, Peng Tian, Qiyu Huang, Luodan Cao, Abdul M. Mouazen
Introduction: Rural ecological environment construction, as a pivotal component of the rural revitalization strategy and ecological civilization construction strategy, plays an indispensable role in promoting sustainable agricultural development and safeguarding ecological security. An accurate assessment and prediction of Rural Ecological Environment Quality (REEQ) serves as the theoretical basis to achieving these goals, and provide scientific guidance for future rural ecological environment construction and planning. The field of regional ecology, proposed in the mid-20th century, represents an emerging interdisciplinary domain that integrates ecology, geography, and economics. It plays a pivotal role in addressing large-scale ecological challenges and fostering social sustainability. As global urbanization continues to advance, urban ecological environments undergo significant transformations under the pressures of intense human activities. Scholars have increasingly focused on the essence, evolutionary patterns, and causal mechanisms shaping urban ecological environment quality. Consequently, ecological environment assessments have evolved from singular pollution evaluations to comprehensive ecological appraisals. However, coastal rural area with complex geographical conditions and fragile ecological environments are often neglected and marginalized. Currently, there are few specialized evaluation systems for REEQ, making it difficult to accurately reveal the evolution pattern of rural ecological environment. This weakens its guidance on practical rural ecological environment governance and restoration.Methods: The Pressure-State-Response (PSR) model can simplify the identification process of driving factors for REEQ, reflect the feedback mechanism between indicators, and is conducive to scientific and accurate evaluation of REEQ. Therefore, we constructed an evaluation index system for REEQ based on the PSR. We measured REEQ in the eastern coastal area of China, analyzed its spatiotemporal characteristics and development trends, and used the obstacle degree model to identify obstacle factors. It is beneficial for rural areas to grasp the evolution laws of REEQ, provide theoretical basis for the formulation of sustainable development policies, and provide scientific policy recommendations.Results: Our findings indicate that: 1) From 2000 to 2020, REEQ in the eastern coastal area of China has continuously improved, with the index value increasing from 0.454 to 0.525, a total growth of 15.64%. The number of high-level REEQ areas increased from 0 to 29, showing a positive development trend. 2) High-density areas of REEQ in the eastern coastal area of China are concentrated in the northern parts of Guangdong and Zhejiang provinces. The center of REEQ has shifted from the southwest to the northeast. 3) The obstacle degrees of various criteria layers in REEQ are relatively stable, with the response subsystem being the highest, followed by the stat
引言农村生态环境建设作为乡村振兴战略和生态文明建设战略的重要组成部分,在促进农业可持续发展和保障生态安全方面发挥着不可或缺的作用。准确评估和预测农村生态环境质量(REEQ)是实现上述目标的理论基础,也为未来农村生态环境建设和规划提供科学指导。区域生态学提出于 20 世纪中期,是集生态学、地理学和经济学于一体的新兴交叉学科。它在应对大规模生态挑战、促进社会可持续发展方面发挥着举足轻重的作用。随着全球城市化进程的不断推进,城市生态环境在激烈的人类活动压力下发生了重大变化。越来越多的学者开始关注城市生态环境质量的本质、演化模式和因果机制。因此,生态环境评价已从单一的污染评价发展到综合的生态评价。然而,地理条件复杂、生态环境脆弱的沿海农村地区往往被忽视和边缘化。目前,专门的农村生态环境质量评价体系较少,难以准确揭示农村生态环境的演变规律。方法:压力-状态-响应(PSR)模型可以简化 REEQ 驱动因子的识别过程,反映指标间的反馈机制,有利于科学、准确地评价 REEQ。因此,我们构建了基于 PSR 的 REEQ 评价指标体系。我们对中国东部沿海地区的 REEQ 进行了测算,分析了其时空特征和发展趋势,并利用障碍度模型识别了障碍因素。这有利于农村地区把握 REEQ 的演变规律,为制定可持续发展政策提供理论依据和科学的政策建议:研究结果表明1)从 2000 年到 2020 年,中国东部沿海地区的 REEQ 不断提高,指数值从 0.454 提高到 0.525,共增长了 15.64%。高等级 REEQ 区域数量从 0 增加到 29 个,呈现出良好的发展态势。2) 中国东部沿海地区的 REEQ 高密度区主要集中在广东和浙江两省的北部地区。REEQ 的中心从西南向东北转移。3) REEQ 各标准层的障碍度相对稳定,其中响应子系统的障碍度最高,其次是状态和压力子系统。森林覆盖率、人均粮食产量、农田有效灌溉率、当年造林面积、农村居民人均可支配收入、农民人均机械动力是主要障碍指标。4) 2020-2035 年,中国东部沿海地区 REEQ 将继续改善。标准偏差椭圆将向西北方向移动,中心将由西南向东北移动,旋转角度将缓慢减小,呈西北走向。
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引用次数: 0
Risks and coping strategies in the floodplain economic belt amid drought–flood challenges and climate change 洪泛区经济带在旱涝挑战和气候变化中的风险和应对策略
Pub Date : 2024-07-15 DOI: 10.3389/fenvs.2024.1395118
He Dong, Xianjuan An, Xueting Zeng, Tienan Li, Yun Teng, Xinyu Zhang, Shupan Li
In this study, a coupla risk combinations and coping strategies have been developed for confronting conflicts between population–economy development and water resource management (PEWM) due to population–industry transformation (PIT) into a floodplain of the economic belt under climate change. A location-entropy-based PVAR (Panel Vector Autoregression) model coupla-risk analysis (LPCR) can be introduced into PEWM to reflect the adverse effects of population–industry transformation on a special function area (e.g., floodplain) of the economic belt, where the coupla risk map has been addressed. Meanwhile, an adaptive scenario analysis-based stochastic–fuzzy method (ASSF) can be joined to deal with multiple uncertainties and their interactions due to subjective and artificial factors. The proposed LPCR and ASSF can be integrated into a risk-based stochastic–fuzzy scenario method framework (RASF) to apply for a practical PEWM case study of the Yongding River floodplain in the context of the coordinative development of the Beijing–Tianjin–Hebei economic belt, China. The results can be presented as follows: 1) the PIT was accelerated into the floodplain due to the fact that it can require more water resources, where each additional unit can promote the regional gross domestic product (GDP) by 0.019 units, increasing the water demand by 0.046 units. It can strengthen various risks such as water shortage, soil loss, and flood control investment in a floodplain of the economic belt; 2) the farmland returning to wetland (CFW) can decrease the water demand and shortage ratio (would be 0% at highest) for irrigation in the long run, but this would reduce the direct economic income of irrigation in the short run; 3) backward irrigative schemes and low water utilization efficiency require a cleaner production mode, which could reduce water shortages by 77.23 × 10^3 m3 at the highest; and 4) the combined policy (S12) can reduce coupla risks (including the risk of water shortage, soil loss, and flood) compared to other individual policies (S2, S4, S6, and S8). The findings can assist local decision-makers to gain insights into adjusting interegional strategies not only for remitting population–resource stress in core cities but also for improving the resilience against drought and flood in a floodplain area, which is conducive of the special function of the floodplain to support an integrated sustainable development of the economic belt.
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引用次数: 0
Will the miniaturization of household size promote household carbon emissions in China? Analysis based on CFPS data 家庭小型化是否会促进中国家庭碳排放?基于 CFPS 数据的分析
Pub Date : 2024-07-15 DOI: 10.3389/fenvs.2024.1382083
Hongmei Shao, Meifeng Yu, Mengjie Xia, Dan Yu, Fuyang Gao
As the proportion of household carbon emissions to global carbon emissions continues to increase, reducing carbon emissions from household consumption has become an important way to achieve the goals of carbon peaking and carbon neutrality. How the trend of miniaturization of household size will affect household carbon emissions is a matter of concern. This paper uses a sample of 9,090 households from the China Family Panel Studies (CFPS) database in 2018 to empirically study the impact of changes in household size on household carbon emissions, from the perspective of household consumption structure and urban-rural areas. The research results indicate that the miniaturization of household size will increase household carbon emissions, the impact of household size on indirect HCEs is greater than on direct HCEs. The impact of household size on indirect HCEs is heterogeneous in consumption structure and the impact of household size on indirect HCEs from housing, transportation is greater than that of other consumption items. The impact of household size on urban household carbon emissions is greater than that in rural areas. The upgrading of household consumption structure and the miniaturization of household size promote the increase of HCEs jointly. Therefore, this paper proposes that under the trend of household miniaturization, energy-saving and emission reduction policies should focus on reducing indirect households carbon emissions, optimizing household structure and household consumption structure, enhancing environmental awareness among family members, establishing and improving the green consumption system, and building environment-friendly households.
随着家庭碳排放占全球碳排放的比例不断增加,减少家庭消费的碳排放已成为实现碳封顶和碳中和目标的重要途径。家庭规模小型化的趋势将如何影响家庭碳排放是一个值得关注的问题。本文以2018年中国家庭面板研究(CFPS)数据库中的9090户家庭为样本,从家庭消费结构和城乡区域的角度,实证研究家庭规模变化对家庭碳排放的影响。研究结果表明,家庭规模小型化会增加家庭碳排放,家庭规模对间接HCE的影响大于对直接HCE的影响。家庭规模对间接 HCEs 的影响在消费结构上具有异质性,家庭规模对住房、交通等间接 HCEs 的影响大于对其他消费项目的影响。家庭规模对城市家庭碳排放的影响大于农村地区。家庭消费结构的升级和家庭规模的小型化共同促进了 HCEs 的增加。因此,本文提出,在家庭小型化趋势下,节能减排政策应着眼于减少家庭间接碳排放,优化家庭结构和家庭消费结构,增强家庭成员的环保意识,建立和完善绿色消费体系,建设环境友好型家庭。
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引用次数: 0
Coupling coordination and interactive relationship between population urbanization and land urbanization from the perspective of shrinking cities: a case study of Jiangsu province, China 城市萎缩视角下人口城镇化与土地城镇化的耦合协调与互动关系:中国江苏省的案例研究
Pub Date : 2024-07-15 DOI: 10.3389/fenvs.2024.1423221
Shao-Jun Chen, Qi Dai, Xiao-Yan Liu
Introduction: Urban contraction brings about certain impacts on the advancement of urbanization.Methods: This paper explores the coupling coordination (CCD) and geographical distribution of land urbanization (LU) and population urbanization (PU) in Jiangsu Province through a CCD model and a spatial autocorrelation model from the perspective of shrinking cities. The Panel Vector Autoregression (PVAR) model is constructed to deeply investigate the complex interaction between the PU-LU in 13 cities, 2007-2020.Results: The study found that the PU-LU CCD in each of the above-mentioned cities shows a synergistic incremental evolution during the study period in terms of time series. In addition, in terms of spatial characteristics, the CCD of PU and LU shows significant positive global spatial autocorrelation, and the CCD of cities with high population size growth is much larger than that of cities with continuous population size. Last, there is an interactive response relationship between PU and LU. PU influences LU, however, PU itself is influenced by its own system’s internal structure. The impact of PU on LU shows a positive cumulative effect of the “inverted U shape.”Discussion: Furthermore, this paper proposes that policies be created to ensure the coordinated growth of PU-LU based on the differences in resource endowments of cities with 3 types of urban shrinkage. The link between floating population and construction land for cities should be established through enhancing the extent of intensive land use and reforming household registration.
引言方法:本文从城市收缩的视角,通过CCD模型和空间自相关模型,探讨江苏省土地城镇化(LU)和人口城镇化(PU)的耦合协调性(CCD)和地理分布。构建面板向量自回归(PVAR)模型,深入研究了 2007-2020 年 13 个城市 PU-LU 之间的复杂互动关系:研究发现,在研究期间,上述各城市的 PU-LU CCD 在时间序列上呈现出协同递增的演变趋势。此外,从空间特征来看,PU 和 LU 的 CCD 呈现出显著的全局正空间自相关性,且人口规模高增长城市的 CCD 远远大于人口规模持续增长城市的 CCD。最后,PU 与 LU 之间存在交互响应关系。PU 影响 LU,但 PU 本身又受其系统内部结构的影响。PU 对 LU 的影响呈现出 "倒 U 型 "的正累积效应:此外,本文还建议根据 3 种城市萎缩类型的资源禀赋差异,制定政策以确保 PU-LU 的协调增长。通过提高土地集约利用程度和户籍改革,建立流动人口与城市建设用地之间的联系。
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引用次数: 0
When overextended surface allocation turns to groundwater: a Q methodology of well users in Oregon’s high desert 当过量的地表水分配转向地下水时:俄勒冈州高地沙漠水井使用者的 Q 方法论
Pub Date : 2024-07-15 DOI: 10.3389/fenvs.2024.1398439
Melissa Haeffner, Janet Cowal, Brandy Walker, Clare McClellan
As legal battles over surface water allocation in Klamath County, Oregon, USA have gained national attention, earning the name “Water Wars,” authorities have been increasingly turning to groundwater to compensate for water shortfalls. This case study aims to identify the nuanced perspectives of household groundwater well users who are affected by groundwater extraction. Using Q methodology, we uncover groundwater well users’ perceptions and to what extent they think water problems are dealt with fairly. We identify four water perspectives that differ in the degree to which respondents prioritize clean water accessibility, industry accountability, individual responsibility for water management, and trust in governments to manage water competently. This research contributes to the growing body of literature reshaping our understanding of human-water relations by exploring different water axiologies.
美国俄勒冈州克拉玛斯县因地表水分配问题引发的法律纠纷引起了全国的关注,并被称为 "水战争"。本案例研究旨在确定受地下水开采影响的家庭地下水井使用者的细微观点。通过使用 Q 方法,我们揭示了地下水井使用者的看法,以及他们认为水资源问题在多大程度上得到了公平处理。我们确定了四种水资源观点,这四种观点在受访者优先考虑清洁水可获取性、行业责任、个人对水资源管理的责任以及对政府有效管理水资源的信任程度上有所不同。这项研究通过探讨不同的水资源公理,为我们重新理解人水关系提供了新的视角。
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引用次数: 0
Factors affecting ecological footprint in Saudi Arabia: a panel data analysis 影响沙特阿拉伯生态足迹的因素:面板数据分析
Pub Date : 2024-07-15 DOI: 10.3389/fenvs.2024.1384451
Abdulaziz Aldegheishem
The global environment has witnessed an increase in environmental risks over the last few decades due to the rising demand for energy to support economic development and urbanization. These environmental risks are exacerbated by the escalating human activity that depletes natural resources. Therefore, analyzing factors affecting Ecological Footprint (EFP), which include many variables such as urbanization, energy consumption, natural resources, economic growth, and technological innovation, is essential to achieve sustainable development. Urbanization is a key driver of economic growth. Achieving economic development requires the utilization of natural resources and energy which increase the EFP. Therefore, the focus on technological innovation is essential to reduce the EFP. Despite the critical environmental and economic implications of factors affecting EFP, studies on this area are lacking, especially across Middle Eastern countries, and present contradictory findings. Therefore, the main aim of this study is to investigate the effect of urbanization, energy consumption, natural resources, economic growth, and technological innovation on the EFP in Saudi Arabia. To this end, the study utilizes an autoregressive distributed lag (ARDL) model, which is considered the most suitable econometric approach when variables are stationary at I (0) or integrated of order I (1), based on data collected from various international sources for the period spanning from 1990 to 2022. In both the long run and the short run, empirical findings show that urbanization, natural resources, and technological innovation decrease the EFP, while energy consumption and economic growth increase the EFP. These results reveal that energy policies need to be addressed, and economic growth is unable to lower the EFP due to a lack of connection between economic policies and environmental goals. On the other hand, the study shows that urban policies and the management of natural resources are effectively linked to environmental goals. These findings have several significant policy implications for reducing the EFP. Suggestions include effectively linking economic policies to environmental goals by electrifying the economy. Additionally, several procedures should be considered, including replacing current carbon-based energy with renewable sources, reevaluating the pricing of the energy system, increasing taxes on carbon-based energy, and reassessing current energy laws and regulations.
过去几十年来,由于支持经济发展和城市化对能源的需求不断增加,全球环境面临的环境风险也随之增加。人类活动的不断升级消耗了自然资源,加剧了这些环境风险。因此,分析影响生态足迹(EFP)的因素(包括城市化、能源消耗、自然资源、经济增长和技术创新等诸多变量)对于实现可持续发展至关重要。城市化是经济增长的主要驱动力。实现经济发展需要利用自然资源和能源,而自然资源和能源会增加能源消耗总量。因此,重视技术创新对于减少环境消耗潜能值至关重要。尽管影响 EFP 的因素对环境和经济具有重要影响,但这方面的研究却很缺乏,特别是在中东国家,而且研究结果相互矛盾。因此,本研究的主要目的是调查城市化、能源消耗、自然资源、经济增长和技术创新对沙特阿拉伯 EFP 的影响。为此,本研究采用了自回归分布滞后(ARDL)模型,该模型被认为是在变量静止于 I (0) 或 I (1) 阶积分时最合适的计量经济学方法,其依据是从各种国际来源收集的 1990 年至 2022 年期间的数据。无论从长期还是短期来看,实证研究结果表明,城市化、自然资源和技术创新都会降低能源效率指数,而能源消耗和经济增长则会提高能源效率指数。这些结果表明,需要解决能源政策问题,由于经济政策与环境目标之间缺乏联系,经济增长无法降低能源消耗总量。另一方面,研究表明,城市政策和自然资源管理与环境目标之间存在有效联系。这些研究结果对降低环境影响因子有若干重要的政策影响。建议包括通过经济电气化将经济政策与环境目标有效联系起来。此外,还应考虑若干程序,包括用可再生能源取代当前的碳基能源,重新评估能源系统的定价,增加碳基能源税,以及重新评估当前的能源法律法规。
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引用次数: 0
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Frontiers in Environmental Science
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