基于共词分析的我国资源环境领域研究热点分析

了解我国资源环境领域的研究热点及走向,可为该领域的论文选题、科研立项和学科规划提供参考信息和决策依据。本文采用共词分析法,Excel、SPSS等软件,对CNKI数据库中的相关文献进行统计。通过分析得出高频关键词并建立共词矩阵,进一步对高频词共词矩阵进行聚类分析和战略坐标图分析,得出资源环境领域的研究热点主要集中在人口资源环境与经济可持续发展、城市化与中国资源环境/水资源环境协调发展、资源环境约束或人地关系视角下的产业结构优化和城镇化发展、资源环境承载力评价指标体系与问题对策、经济增长与生态足迹关系、生态文明视角下的资源环境保护与管理等几大主题上。其中,前两个主题处于整个领域的核心地位,得到较深入的研究,后四个主题研究不够深入,仍有许多值得研究的地方。     

Toward sustainable use of natural resources: Nexus between resource rents,affluence, energy intensity and carbon emissions in developing and transition economies

Sustainable use of natural resources would entail ensuring that derived economic benefits today do not undermine the welfare of generations to come. On this basis, this study examines the nexus between natural resource rents and carbon dioxide (CO₂) emissions disaggregated into production and consumption-based (i.e., trade-adjusted) CO₂ emissions for a selected panel of 45 developing and transition economies over the period 1995–2017. The empirical model also incorporates the impacts of population, affluence, and energy intensity. The results show that affluence increases production-based CO₂ emissions by 1.407%, with the EKC's predicted inverted U-shaped curve only explaining consumption-based CO₂ emissions. Economic reliance on natural resource rents and energy intensification contribute 0.022% and 0.766%, respectively, to CO₂ emissions embedded in territorial production inventories and 0.035% and 0.583%, respectively, to CO₂ emissions embedded in consumption inventories. The bootstrap non-causality test shows that historical data on each variable has significant predictive power for future CO₂ emissions from both sources. The historical information about natural resource rents has significant predictive power over the future levels of affluence and energy intensity. Clearly, the results show that the environmental impact of natural resource rents is stronger when CO₂ emissions are adjusted for trade and varies among the countries, with Bangladesh, Guinea, India, Malaysia, Mexico, Nigeria, Pakistan, Saudi Arabia, Vietnam, and Zimbabwe among the most affected countries. Overall, this study provides motivation for policies to keep the use of natural resources within sustainable limits.     

Spatial analysis of resources and environmental carrying capacity in Iran

Urbanization and mass movement of the population from rural areas and small cities to megacities have led to environmental, economic, and social problems in Iran. In dealing with these challenges, assessing resource and environmental carrying capacity (RECC) is considered an effective method to leverage space and capital to achieve sustainable development. This study aimed to rank the provincial RECC in Iran. Toward this purpose, environmental indices were generated from remotely sensed and statistical census data. Then, the provinces were scored in terms of environmental, economic, and infrastructural carrying capacities, and RECC using the mean variance analysis method. Results demonstrated that in most areas, there is no relationship between economic and infrastructural capacities and development. Statistically, a correlation coefficient of −0.53 between economic and environmental carrying capacities indicated excessive use of environmental capacities. Moreover, the spatial distribution pattern of environmental, economic, and infrastructural carrying capacity was entirely heterogeneous between the provinces; there was a northeast–southwest pattern in terms of infrastructural capacity and an economic pattern from north to south. The distribution pattern of RECC is most consistent with the environmental capacity, pointing at the high weight of the indicators of the RECC model. In conclusion, this research offers a new vision for policymakers and provides a theoretical and applicable framework for implementing sustainable strategies in land-use planning. It is recommended that the RECC concept and tools can be used not only for planning but also for measuring the efficiency of spatial development programs and establishing land balances in the region.     

The Essence of a Recycling Economy:Circular Utilization of Resources

By analyzing the relationship between a recycling economy and sustainable development theory, this article puts forward the basic concept of a recycling economy as a dynamic economic operational model, and explains the four basic characteristics. It is stressed that the essential element of a recycling economy is the use of resources circularly. In the end, this article analyzes the phenomena of utilizing the recycling economy concept incorrectly, and sets forth a number of problems that should be noted during the process of developing a recycling economy in China.     

塔城地区的干旱因素探讨

通过对塔城地区自然情况及水利设施建设方面的介绍及分析，总结了影响干旱的一些因素，并提出了相应的对策和建议，以减缓塔城地区的干旱问题。     

后疫情时期全国碳市场政策对经济和排放的影响

新冠肺炎疫情暴发一年多以来,国际国内形势仍面临极大不确定性。疫情显著降低了短期排放水平,但是经济恢复政策和疫情发展形势的不确定使得对未来经济发展和碳排放的判断变得复杂,碳排放是否会反弹对实现《巴黎协定》目标造成挑战,已经投入运行的全国碳市场能多大程度发挥政策效果等问题值得关注。本文首先定量评估了疫情对经济和环境的短期和长期的影响,基于此分析疫情后全国碳市场政策的实施效果。结果显示:疫情造成中国经济活动以及碳排放短期显著下降,2020年中国全年的GDP增长较基准情景下降3.84%,能源消费和碳排放分别较基准情景下降4.47%和5.12%。但是,接下来的十年内,GDP会逐渐恢复至基准情景,累计碳排放较基准情景增加0.06%。在没有其他气候政策干预的情况下,疫情带来的短期减排效应不足以保障中国各项气候目标的实现,落实碳市场政策十分必要。疫情之后启动全国碳市场,可以促进投资、减少能源使用和碳排放,到2030年,能源消费将下降7.44%,碳排放下降10.49%,碳价为229.73元/t。国外疫情若在2021年还不能得到控制,将会继续影响中国的对外贸易,使得中国GDP损失略有提高,但不会改变国内疫情之后经济恢复的大趋势。     

Bibliometric analysis of ecosystem monitoring-related research in Africa: implications for ecological stewardship and scientific collaboration

Regional ecosystem monitoring is a central form of knowledge sharing and collaboration amongst scientists and decision makers on environmental health, land use change, and science-policy development. Despite the proliferation of such research networks on long-term monitoring on many continents, little has been achieved in Africa. This study aims to assess and examine the spatiotemporal trend and categorical patterns in ecosystem monitoring-related research in Africa for the benefits of conserving biodiversity and sustaining natural resource sectors for well-being and livelihood security, environmental planning, and ecological stewardship. A systematic review was conducted using bibliometric tools. Based on a set of search terms and peer-reviewed publications retrieved from various ecosystem monitoring networks and journal databases, further analysis was conducted using social network approaches, mapping tools, and content analysis. About 1442 scientific publications on ecosystem monitoring and related research were documented from 1987 to 2014 mostly published in English. The number of publication increased progressively since 1992 after the Convention on Biodiversity was signed and this trend peaked till 2008. South African Journal of Science was the most leading journal and Nature the most cited. Internationally coauthored and collaborative articles represented majority of the findings with the United Kingdom at the central position in the research network due to colonial relationships. Regional collaboration amongst countries is limited owing to language barriers and other institutional constraints such as funding and short-term projects. These findings have implication for prioritizing national and regional policies toward biodiversity science and its contribution to human well-being, food security, and global change responses.     

基于物质流分析的中国减物质化趋势及循环经济成效评价

物质流分析通过测量经济活动物质投入的数量、强度及其变化即物质化或减物质化趋势,能够反映可耗竭自然资源损耗和环境退化的总体情况,也是评价循环经济发展成效尤其是资源综合利用对物质消耗影响的一个有效工具。论文运用统计学和计量经济学方法,分析了中国2000-2013年直接物质投入及其与特定经济特征的关系,确定了资源利用强度变化趋势,评价了中国循环经济实践尤其是资源综合利用的成效。发现2000-2013年中国直接物质投入总量持续增加、单位GDP直接物质投入先上升后下降,说明中国已进入了相对的减物质化阶段;第二产业比重先增加后下降的变化趋势是直接物质投入强度变化的格兰杰原因;中国的资源综合利用总量增加但综合利用率仍很低,未对直接物质投入强度产生统计学意义上的显著影响;未来中国直接物质投入总量和人均值在很长时间内还将继续增加。     

CGE模型在水资源研究中的应用与展望

文章简要介绍了CGE模型及其在水资源研究中的应用,归纳了水资源在模型中的处理方法,分析了CGE模型应用于水资源研究中存在的问题,并对未来发展趋势进行了展望。从处理水资源问题的方法看,约束条件、要素、中间投入和综合处理等4 种方法是主要的建模手段,并随着数据和建模技术的发展,模型向精细化、复杂化和贴近实际发展。尽管CGE模型在水资源研究中的应用仍然受制于模型本身的缺陷以及对水资源问题的认识和处理方式,但随着理论发展、数据完善,CGE模型在水资源研究中的应用会逐步朝着标准化、模块化、精细化和实用化的方向发展。