Chinese Journal of Population Resources and Environment最新文献_第2页

Critical factors influencing consumer purchases of new energy vehicles: Evidence from a hybrid simulation model and machine learning 影响消费者购买新能源汽车的关键因素：来自混合仿真模型和机器学习的证据

IF 4.8 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-12-01 DOI: 10.1016/j.cjpre.2025.10.007

Yong Liu , Xin Chen

New energy vehicles are distinguished by their environmentally friendly characteristics; however, their sales remain low compared with those of fossil fuel vehicles. This study identifies the key factors influencing consumer purchases of new energy vehicles with the aim of increasing sales and promoting the development of the new energy vehicle industry. Machine learning (ML) techniques were employed to analyze more than 26 000 consumer reviews of new energy vehicles and identify the factors influencing their purchasing decisions. Subsequently, a hybrid simulation model was constructed using the complex adaptive system framework. The model combines the strengths of ML, multi-agent modeling, and system dynamics modeling, thereby enhancing its capacity to identify key factors. The model comprises two categories of manufacturers: producers of new energy vehicles and producers of fossil fuel vehicles. Dynamic simulations were conducted using the AnyLogic simulation platform. The findings indicated a negative correlation between consumer income and demand for new energy vehicles. Conversely, expansions in the interior space of new energy vehicles and favorable consumer perceptions of their environmental benefits have contributed to increased demand for these vehicles. Therefore, rather than exclusively focusing on price advantages, it would be more beneficial to prioritize expanding new energy vehicles’ interior space and disseminating information about their environmental benefits to consumers. It seems reasonable to posit that these strategies would increase consumer willingness to purchase new energy vehicles in the long term.

新能源汽车的特点是环境友好；然而，与化石燃料汽车相比，它们的销量仍然很低。本研究确定影响消费者购买新能源汽车的关键因素，旨在提高销量，促进新能源汽车产业的发展。研究人员利用机器学习（ML）技术分析了26000多条消费者对新能源汽车的评论，并确定了影响他们购买决策的因素。随后，利用复杂自适应系统框架构建了混合仿真模型。该模型结合了机器学习、多智能体建模和系统动力学建模的优势，从而增强了识别关键因素的能力。该模型包括两类制造商：新能源汽车生产商和化石燃料汽车生产商。利用AnyLogic仿真平台进行动态仿真。研究结果表明，消费者收入与新能源汽车需求呈负相关。相反，新能源汽车内部空间的扩大和消费者对其环境效益的良好认知也促进了对这些汽车的需求增加。因此，与其只关注价格优势，不如优先扩大新能源汽车的内饰空间，并向消费者宣传其环保效益。从长远来看，这些策略将增加消费者购买新能源汽车的意愿，这似乎是合理的假设。

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引用次数: 0

Estimating shadow price of CO2 emissions in China’s construction industry under policy regulations 政策规制下中国建筑业二氧化碳排放影子价格估算

IF 4.8 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-12-01 DOI: 10.1016/j.cjpre.2025.10.008

Xiaoxiao Liu , Mingyue Wang

The marginal abatement cost (MAC) of CO₂ emissions is one of the most critical indicators used to assess energy conservation and emission reduction. Although extensively measured, few studies have incorporated the influence of policy constraints when evaluating MAC. To address this gap, this paper proposes a nonparametric directional distance function approach under policy regulations to estimate the CO₂ shadow price in the construction industry across 30 Chinese provinces from 2010 to 2017. Based on this enhanced method, four key findings emerge: ① the annual CO₂ shadow price exhibits an overall upward trend during the observation period; ② regional shadow prices display marked variation across provinces; ③ regional heterogeneity in shadow prices has increased steadily over time; and ④ both urbanization rate and energy consumption per unit of gross domestic product are significantly negatively correlated with the CO₂ shadow price. Finally, the paper offers several policy recommendations for CO₂ emissions reduction in the Chinese construction industry at the national, industry, and enterprise levels.

二氧化碳排放的边际减排成本是评价节能减排最重要的指标之一。尽管测量范围广泛，但很少有研究将政策约束的影响纳入到MAC评估中。为了解决这一空白，本文提出了政策法规下的非参数定向距离函数方法，以估算2010 - 2017年中国30个省份建筑业的二氧化碳影子价格。结果表明：①CO2年影子价格在观测期内总体呈上升趋势；②区域影子价格在各省之间存在显著差异；③影子价格的区域异质性逐渐增强；④城镇化率和单位国内生产总值能耗与CO2影子价格呈显著负相关。最后，本文从国家、行业和企业三个层面提出了中国建筑业二氧化碳减排的政策建议。

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引用次数: 0

How does the e-commerce policy affect urban land resource carrying capacity? 电子商务政策如何影响城市土地资源承载能力？

IF 4.8 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-12-01 DOI: 10.1016/j.cjpre.2025.10.014

Xiangyu Fan , Xinhai Lu , Bing Kuang , Nan Ke

National e-commerce demonstration city (NEDC) pilots play a crucial role in transforming urban e-commerce and significantly affect urban land resource carrying capacity (LRCC). Using panel data from prefecture-level cities in China spanning 2006 to 2020, this study treats the NEDC pilot program as a quasi-natural experiment. A theoretical mechanism analysis was conducted to explore the implications of the NEDC pilot program on urban LRCC, and the propensity score matching double-difference method was used to estimate its effects. The findings show that the NEDC pilot program significantly inhibits the enhancement of urban LRCC, a conclusion that remains robust after multiple validity tests. Moreover, as the level of green development in urban land increases, the impact of the NEDC pilot program on urban LRCC shifts from positive to negative. This negative effect is especially pronounced in regions with lower levels of urban informatization, as well as in central and western areas and large cities. Furthermore, the mechanism analysis indicates that the NEDC pilot program exerts a significant negative influence on urban LRCC through three main channels: technological innovation, industrial structure, and economic correlation.

国家电子商务示范城市试点对城市电子商务转型具有重要作用，对城市土地资源承载能力具有重要影响。本研究使用2006 - 2020年中国地级市的面板数据，将NEDC试点项目视为准自然实验。通过理论机制分析，探讨了NEDC试点项目对城市LRCC的影响，并采用倾向得分匹配双差法对其效果进行了评估。研究结果表明，NEDC试点项目显著抑制了城市LRCC的增强，这一结论在多次效度检验后仍然是稳健的。此外，随着城市土地绿色发展水平的提高，NEDC试点项目对城市LRCC的影响由正向负转变。这种负面影响在城市信息化水平较低的地区、中西部地区和大城市尤为明显。机制分析表明，新能源发展中心试点通过技术创新、产业结构和经济关联度三个主要渠道对城市低能耗成本产生显著的负向影响。

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引用次数: 0

The role of green innovation in advancing China’s rural revitalization: Evidence from Guangdong’s prefecture-level cities 绿色创新在推动中国乡村振兴中的作用：来自广东地级市的证据

IF 4.8 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-12-01 DOI: 10.1016/j.cjpre.2025.10.011

Yeyiyi Xu , Kashif Ullah Khan , Fouzia Atlas

This study investigates how green innovation drives rural revitalization in China’s sustainable development framework, focusing on institutional thresholds and spatial heterogeneity. We use panel data from 21 prefecture-level cities in Guangdong Province from 2009 to 2022 and apply a threshold regression model to examine both linear and nonlinear effects of green innovation. The results reveal that green innovation positively influences rural revitalization only after surpassing a critical level of regional innovation capacity. This critical threshold effect indicates that the benefits of green innovation for rural development are unevenly distributed and rely heavily on local absorptive capacity and institutional context. Our findings contribute to sustainability research, highlighting how green innovation interacts with policy-driven rural development goals, particularly in emerging economies. Furthermore, this research provides region-specific policy recommendations to support inclusive, innovation-driven, and environmentally sustainable revitalization strategies. This paper integrates institutional and sustainable development theory to provide a deeper understanding of the dynamic role of technological change in reshaping rural development pathways within the global green transition agenda.

本文研究了中国可持续发展框架下绿色创新驱动乡村振兴的机制，重点关注制度阈值和空间异质性。本文利用2009 - 2022年广东省21个地级市的面板数据，运用阈值回归模型检验了绿色创新的线性和非线性效应。结果表明，绿色创新对乡村振兴的积极影响只有在超过区域创新能力临界水平后才会显现。这一临界阈值效应表明，绿色创新对农村发展的效益分布不均，严重依赖于当地的吸收能力和制度背景。我们的研究结果有助于可持续发展研究，突出了绿色创新如何与政策驱动的农村发展目标相互作用，特别是在新兴经济体。此外，本研究还提供了具体区域的政策建议，以支持包容性、创新驱动型和环境可持续的振兴战略。本文将制度理论与可持续发展理论相结合，以更深入地理解技术变革在全球绿色转型议程中重塑农村发展路径的动态作用。

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引用次数: 0

How resource industry spatial agglomeration affects regional economic growth: Evidence from China 资源产业空间集聚如何影响区域经济增长：来自中国的证据

IF 4.8 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-12-01 DOI: 10.1016/j.cjpre.2025.10.013

Zhongshuai Wang , Yuchen Lu , Chunqian Zhu , Jun Wang

To investigate how spatial heterogeneity affects the so-called “resource curse” in China, we combine a careful selection of indicators with the concept of resource industry spatial agglomeration (RISA) as a proxy for resource abundance and dependency. To address RISA heterogeneity among regions, those lacking a spatial concentration in non-resource industries are excluded from the analysis. We then develop an econometric model of regional economic growth (REG) using RISA. To further investigate the impact mechanisms of RISA and other factors influencing REG, we use the feasible generalized least squares (FGLS) method and the system generalized method of moments (SGMM). Conducting a stepwise regression analysis, we systematically examine the effect of the resource curse at the regional level from a RISA perspective. Our key findings are as follows: ① Fifteen provinces in China exhibit RISA, and their level of economic development is significantly lower than that of provinces without a spatial agglomeration of resource industries. ② RISA and REG exhibit a “U-shaped” relationship, characterized initially by suppression followed by promotion. ③ In terms of transmission mechanisms, investments in material and human capital, the degree of openness to foreign trade, and residents’ savings rate all suppress RISA, while investments in technological innovation, development of the private economy and the manufacturing industry, and government intervention can promote spatial agglomeration of resource industries.

为了研究空间异质性对中国“资源诅咒”的影响，我们将资源产业空间集聚（RISA）的概念作为资源丰富度和依赖度的代表，并对指标进行了仔细选择。为了解决区域间RISA的异质性，我们将那些在非资源性产业中缺乏空间集中度的产业排除在分析之外。然后，我们使用RISA开发了区域经济增长（REG）的计量经济模型。为了进一步研究RISA和其他影响REG的因素的影响机制，我们使用了可行广义最小二乘法（FGLS）和系统广义矩量法（SGMM）。通过逐步回归分析，从RISA视角系统地考察了资源诅咒在区域层面的影响。结果表明：①中国有15个省区存在资源产业空间集聚，其经济发展水平显著低于资源产业空间集聚的省区。②RISA与REG呈先抑制后提升的“u”型关系。③在传导机制上，物质资本和人力资本投资、对外贸易开放程度、居民储蓄率均抑制了资源产业空间集聚，而技术创新投资、民营经济和制造业发展以及政府干预均促进了资源产业空间集聚。

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引用次数: 0

New developments and future innovative opportunities for carbon sequestration in South Africa: A review 南非碳封存的新发展和未来创新机会：综述

IF 4.8 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-09-01 DOI: 10.1016/j.cjpre.2025.07.008

Nkosinomusa Khanyile , Kasturie Premlall , Major Mabuza

The South African government has proven its commitment to the reduction of anthropogenic carbon emissions by unveiling the carbon capture, utilization, and storage (CCUS) pilot demonstration research site on August 30, 2024. The CCUS approach is to form part of the Integrated Resource Plan as one of the critical aspects of the country’s energy mix. This puts CCUS at the forefront of the adoption of clean energy initiatives. This paper reviews the progress on CCUS initiatives in South Africa since the publication of the 2010 technical report on the geological storage of carbon dioxide (CO₂) with a focus on onshore sequestration. The focus is on the current status, future opportunities, and the possibility of developing numerical models and simulations of various South African coal ranks to simulate CO₂ sequestration potential with reference to the related literature. The paper also delves into the ongoing Leandra pilot CCS demonstration project in Mpumalanga Province, the status of the identified unmineable coalfields available for CCS in South Africa, collaborations, and future prospects for CCS in the country. The purpose is to contribute to advancing the local CCS technology and mitigating anthropogenic CO₂ emissions. Through this review paper, it is established that promoting the advancement and implementation of CCS in South Africa requires continuous advanced research activities from scholars and private and government institutions because of the critical need to understand the fluid induced response of geological formations, especially coal formations, for the secure and effective application of this sequestration method.

南非政府于2024年8月30日公布了碳捕集、利用和封存（CCUS）试点示范研究基地，证明了其减少人为碳排放的承诺。CCUS方法将作为国家能源结构的关键方面之一，成为综合资源计划的一部分。这使CCUS处于采用清洁能源倡议的最前沿。本文回顾了自2010年关于二氧化碳地质封存的技术报告发布以来，南非CCUS计划的进展，重点是陆上封存。重点是目前的状况，未来的机会，以及开发数值模型和模拟各种南非煤炭等级的可能性，以模拟二氧化碳封存潜力，参考相关文献。本文还深入探讨了南非姆普马兰加省正在进行的Leandra CCS试点示范项目、南非已确定的可用于CCS的不可开采煤田的现状、合作以及该国CCS的未来前景。其目的是促进当地CCS技术的发展和减少人为二氧化碳排放。通过这篇综述文章，我们认识到，为了安全有效地应用这种封存方法，迫切需要了解地质构造，特别是煤构造的流体诱导响应，因此，促进CCS在南非的发展和实施需要学者、私人和政府机构不断开展先进的研究活动。

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引用次数: 0

Green human development in Indonesia: Role of renewable and nonrenewable energy 印度尼西亚的绿色人类发展：可再生能源和不可再生能源的作用

IF 4.8 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-09-01 DOI: 10.1016/j.cjpre.2025.07.010

Irsan Hardi , Edi Saputra Ringga , Ghalieb Mutig Idroes , Chahayu Astina , Umri Praja Muda , Teuku Rizky Noviandy , Rinaldi Idroes

As the world’s fourth most populous country, Indonesia presents challenges and opportunities for sustainable energy progress, offering a critical context to investigate green human development (GHD). This study uniquely contributes to the literature by employing the planetary pressures-adjusted human development index (PHDI) as an indicator of GHD, which integrates environmental impacts into human development. Using static and dynamic econometric methods, including the quantile regression and autoregressive distributed lag model, it explores the impacts of renewable and nonrenewable energy consumption on GHD. The findings demonstrate that renewable energy currently has a detrimental impact on GHD due to its limited adoption and high costs. Conversely, nonrenewable energy positively influences GHD, as it is the primary energy source in the country and is becoming more efficient at reducing emissions. However, the study finds that greater use of renewable energy reduces its adverse effects, suggesting that as renewable energy technologies become more cost-effective and widely implemented, their initial adverse effects could be mitigated, leading to improved long-term GHD outcomes. These findings carry important implications for Indonesia, where the government is striving to expand renewable energy capacity while promoting equitable development across its archipelagic regions. They underscore the critical role of energy policy in balancing economic, social, and environmental goals, contributing meaningfully to the country’s sustainable development agenda.

作为世界上人口第四多的国家，印度尼西亚为可持续能源进步提供了挑战和机遇，为研究绿色人类发展（GHD）提供了重要背景。本研究采用地球压力调整人类发展指数（PHDI）作为GHD的指标，将环境影响纳入人类发展，为文献做出了独特贡献。采用静态和动态计量经济学方法，包括分位数回归和自回归分布滞后模型，探讨了可再生能源和不可再生能源消费对GHD的影响。研究结果表明，由于可再生能源的有限采用和高成本，目前对温室气体排放产生了不利影响。相反，不可再生能源对温室气体排放产生积极影响，因为它是该国的主要能源，并且在减少排放方面越来越有效。然而，该研究发现，更多地使用可再生能源可以减少其不利影响，这表明，随着可再生能源技术变得更具成本效益并得到广泛实施，它们最初的不利影响可能会得到缓解，从而改善长期的温室气体排放结果。这些发现对印尼具有重要意义，印尼政府正在努力扩大可再生能源产能，同时促进其群岛地区的公平发展。它们强调了能源政策在平衡经济、社会和环境目标方面的关键作用，为国家的可持续发展议程做出了有意义的贡献。

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引用次数: 0

Harnessing groundwater resources in hard-rock terrain: A geoinformatics perspective of the Bandu Sub-watershed of Purulia District, India 在硬岩地形中利用地下水资源：印度普鲁里亚地区班杜小流域的地理信息学视角

IF 4.8 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-09-01 DOI: 10.1016/j.cjpre.2025.07.011

Sudipto Halder , Somnath Mandal , Debdas Ray , Gupinath Bhandari , Subhasis Bhattacharya , Suman Paul

Groundwater, the world’s largest freshwater supply, is facing increasing strain due to various uses such as agriculture, industry, livestock, and household. This study aims to investigate groundwater prospective zonation in the Bandu Sub-watershed in Purulia, West Bengal, using the AHP model and RS & GIS methodologies. To achieve Goal 6 of the UN-initiated 17 SDGs, it is crucial to determine the spatial distribution of groundwater prospective zones village-by-village, with 1/3 of the regions falling under red alert zones for sustainable development. The 16 most crucial elements affecting groundwater prospective zones (GWPZs) were mapped using AHP, and the final prospective map was obtained through Weighted Overlay analysis. The study identified five different classes within the Sub-watershed as excellent, good, moderate, poor, and very poor. The validation results showed that the approach used to derive GWPZ is reliable, and the results can be applied to future sustainable developments to reduce water shortages through suitable management methods. The research aims to increase the effectiveness of sustainable groundwater zone management, ensuring long-term water management and access.

地下水是世界上最大的淡水资源，由于农业、工业、牲畜和家庭的各种用途，它正面临越来越大的压力。本研究旨在利用AHP模型和RS & GIS方法，调查西孟加拉邦普鲁里亚邦班杜流域的地下水远景分区。为了实现联合国发起的17项可持续发展目标中的目标6，确定逐村地下水远景区的空间分布至关重要，目前有1/3的地区处于可持续发展红色预警区。采用层次分析法对影响地下水远景区的16个最关键要素进行制图，并通过加权叠加分析得到最终的远景图。该研究将子流域划分为优秀、良好、中等、较差和极差五个等级。验证结果表明，该方法推导出的GWPZ是可靠的，可以通过适当的管理方法应用于未来的可持续发展，以减少水资源短缺。本研究旨在提高可持续地表带管理的有效性，确保长期的水资源管理和获取。

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引用次数: 0

A stitch in time: Digital transformation, internal control and total factor productivity 及时一针：数字化转型、内部控制和全要素生产率

IF 4.8 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-09-01 DOI: 10.1016/j.cjpre.2025.07.006

Ruiyang Gao , Bin Gu

Digital transformation provides enterprises with new development momenta. Understanding the relationship between digital transformation and total factor productivity (TFP) is essential. This study employs a fixed-effect model and selects all Chinese A-share listed companies from 2007 to 2022 as the research sample. Internal control (IC) is introduced as a mechanistic variable. The results indicate that digital transformation significantly promotes both TFP and the effectiveness of IC. Moreover, effective IC plays a significant mediating role in the relationship between digital transformation and TFP. A heterogeneity analysis reveals that, compared to non-state-owned enterprises, state-owned enterprises can improve TFP more rapidly through digital transformation due to their resource advantages and policy support. On the one hand, these findings help enterprises better align their transformation strategies to maximize the benefits of digital transformation. On the other hand, they provide investors with insights into the transformation potential and future growth prospects of these enterprises.

数字化转型为企业提供了新的发展动力。理解数字化转型与全要素生产率（TFP）之间的关系至关重要。本研究采用固定效应模型，选取2007 - 2022年中国所有a股上市公司作为研究样本。内部控制（IC）是作为一个机制变量引入的。研究结果表明，数字化转型对全要素生产率和集成电路效率均有显著的促进作用，有效集成电路在数字化转型与全要素生产率的关系中起着显著的中介作用。异质性分析表明，与非国有企业相比，国有企业由于其资源优势和政策支持，能够更快地通过数字化转型提高全要素生产率。一方面，这些发现有助于企业更好地调整其转型战略，以最大限度地发挥数字化转型的效益。另一方面，它们为投资者提供了洞察这些企业转型潜力和未来成长前景的视角。

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引用次数: 0

Strengthening e-waste governance: A decision framework for sustainable transboundary movements under the Swiss-Ghana Amendments 加强电子废物治理：瑞士-加纳修正案下的可持续跨境流动决策框架

IF 4.8 4区环境科学与生态学 Q2 ENVIRONMENTAL STUDIES

Chinese Journal of Population Resources and Environment

Pub Date : 2025-09-01 DOI: 10.1016/j.cjpre.2025.07.003

Pursatul Faradillah , Al Amin Mohamed Sultan , Khairul Fadzli Samat , Thahirah Kamarulzaman

The Swiss-Ghana Amendments to the Basel Convention mark a significant milestone in global e-waste (electronic waste) management, requiring Prior Informed Consent (PIC) for all transboundary movements of Waste Electrical and Electronic Equipment (WEEE), regardless of their hazard classification. However, developing nations encounter substantial challenges in adhering to these amendments due to regulatory gaps, limited infrastructure, and an increasing influx of illicit e-waste imports. This study uses Malaysia as a case study to evaluate the readiness of developing nations to implement amendments, highlighting transferable solutions and recommendations. This study employs a mixed-methods approach that combines qualitative thematic analysis and bibliometric mapping to analyze academic literature, official reports, and international case studies. The findings reveal that while Malaysia has foundational policies in place, significant challenges remain in addressing informal recycling practices, improving enforcement mechanisms, and building the institutional capacity to implement PIC procedures effectively. This study identifies key areas for improvement, including regulatory reforms, infrastructure development, and enhanced monitoring systems. To address these issues, this study proposes a six-key Integrated Decision Framework that emphasizes legislative and regulatory updates, infrastructure development, international cooperation, capacity building and training, public awareness and engagement, and robust monitoring and enforcement mechanisms. Although tailored to Malaysia, the framework offers transferable solutions to align e-waste management systems with the Swiss-Ghana Amendments, providing a pathway for developing nations to strengthen regulatory readiness, mitigate environmental risks, and contribute to global sustainability.

《巴塞尔公约》的瑞士-加纳修正案标志着全球电子废物管理的一个重要里程碑，该修正案要求所有废旧电子电气设备（WEEE）的越境转移，无论其危害分类如何，都必须事先知情同意（PIC）。然而，由于监管空白、基础设施有限以及非法电子废物进口的不断涌入，发展中国家在遵守这些修正案方面遇到了重大挑战。本研究以马来西亚为例，评估发展中国家实施修正案的准备情况，突出可转移的解决方案和建议。本研究采用混合方法，结合定性专题分析和文献计量测绘来分析学术文献、官方报告和国际案例研究。调查结果表明，虽然马来西亚已经制定了基本政策，但在解决非正式回收做法、改善执法机制和建立有效实施知情同意程序的机构能力方面仍存在重大挑战。本研究确定了需要改进的关键领域，包括监管改革、基础设施建设和加强监测系统。为了解决这些问题，本研究提出了一个六要素综合决策框架，强调立法和监管更新、基础设施发展、国际合作、能力建设和培训、公众意识和参与以及强有力的监督和执行机制。虽然该框架是为马来西亚量身定制的，但它提供了可转移的解决方案，使电子废物管理系统与瑞士-加纳修正案保持一致，为发展中国家加强监管准备、减轻环境风险和促进全球可持续性提供了一条途径。

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引用次数: 0