Role of self-help groups on socioeconomic development and the achievement of Sustainable Development Goals(SDGs)among rural women in Cooch Behar District,India

This study examines the transformative role of self-help groups(SHGs)in the socioeconomic development of rural women in Cooch Behar District,India,and their contribution toward achieving Sustainable Development Goals(SDGs)of the United Nations.In this study,we explored the effect of SHGs on rural women by specifically addressing SDGs,such as no poverty(SDG 1),zero hunger(SDG 2),good health and well-being(SDG 3),quality education(SDG 4),and gender equality(SDG 5).Given this issue,a cross-sectional survey and comparison analyses are needed to assess the socioeconomic development of rural women and their awareness level before and after the participation of rural women in SHGs.The survey conducted as part of this study was divided into three sections,namely,demographic characteristics,socioeconomic development,and awareness level,with each focusing on different aspects.A group of 400 individuals who were part of SHGs completed the questionnaire survey form.The results showed that the participation of rural women in SHGs significantly improved their socioeconomic development and awareness level,as supported by both mean values and t test results.Memberships in SHGs and microcredit programs were the major elements that boosted the socioeconomic development of rural women,which also achieves SDGs 1,2,3,4,and 5.This study revealed that participation in SHGs and related financial services significantly aided rural women in economically disadvantaged communities in accumulating savings and initiating entrepreneurial ventures.Moreover,participation in SHGs was instrumental in enhancing the self-confidence,self-efficacy,and overall self-esteem of rural women.Finally,doing so enabled them to move more freely for work and other activities and to make family and common decisions.

Spatial differences of Sustainable Development Goals(SDGs)among counties(cities)on the northern slope of the Kunlun Mountains

The county(city)located on the northern slope of the Kunlun Mountains is the primary area to solidify and extend the success of Xinjiang Uygur Autonomous Region,China in poverty alleviation.Its Sustainable Development Goals(SDGs)are intertwined with the concerted economic and social development of Xinjiang and the objective of achieving shared prosperity within the region.This study established a sustainable development evaluation framework by selecting 15 SDGs and 20 secondary indicators from the United Nations’SDGs.The aim of this study is to quantitatively assess the progress of SDGs at the county(city)level on the northern slope of the Kunlun Mountains.The results indicate that there are substantial variations in the scores of SDGs among the nine counties and one city located on the northern slope of the Kunlun Mountains.Notable high scores of SDGs are observed in the central and eastern regions,whereas lower scores are prevalent in the western areas.The scores of SDGs,in descending order,are as follows:62.22 for Minfeng County,54.22 for Hotan City,50.21 for Qiemo County,42.54 for Moyu County,41.56 for Ruoqiang County,41.39 for Qira County,39.86 for Lop County,38.25 for Yutian County,38.10 for Pishan County,and 36.87 for Hotan County.The performances of SDGs reveal that Hotan City,Lop County,Minfeng County,and Ruoqiang County have significant sustainable development capacity because they have three or more SDGs ranked as green color.However,Hotan County,Moyu County,Qira County,and Yutian County show the poorest performance,as they lack SDGs with green color.It is important to establish and enhance mechanisms that can ensure sustained income growth among poverty alleviation beneficiaries,sustained improvement in the capacity of rural governance,and the gradual improvement of social security system.These measures will facilitate the effective implementation of SDGs.Finally,this study offers a valuable support for governmental authorities and relevant departments in their decision-making processes.In addition,these results hold significant reference value for assessing SDGs at the county(city)level,particularly in areas characterized by low levels of economic development.

Assessment of rural sustainable development and analysis and prediction of obstacles and coupled coordinated development:A case study of Zaozhuang City

In China,the Innovation Demonstration Zone for the National Sustainable Development Agenda is a key initiative for executing the United Nations(UN)2030 Agenda for Sustainable Development.The Zone also plays critical roles in addressing the developmental bottlenecks that China faces and sharing Chinese insights into global sustainable development efforts.On July 15,2022,the State Council endorsed the Zone’s establishment in Zaozhuang City,Shandong Province,where it focuses on innovation-led sustainable development in rural areas.Research into the levels,impediments,interdependencies,and evolutionary trends of rural sustainable development is crucial.Therefore,this research aimed to assist in comprehensively assessing developmental challenges and facilitating the harmonious advancement of social,economic,and environmental aspects in rural areas.In pursuit of the three fundamental dimensions of the UN’s Sustainable Development Goals(SDGs),namely development’s drivers,quality,and equity,this study was grounded in China’s national Rural Revitalization Strategy and the demands of sustainable development strategies.It also aligns with the UN 2030 Agenda for Sustainable Development and the associated SDG indicators.Focusing on four key areas,namely production elements,natural elements,social elements,and rural governance,this study developed an evaluation index system for assessing the level of rural sustainable development.It employed a range of analytical models,including the game theory-based combination empowerment method,barrier degree model,coupling degree model,coupling coordination degree model,and gray prediction GM(1,1)model,to analyze the status and evolving trends of rural sustainable development in Zaozhuang City from 2015 to 2022.The key findings were as follows:①Relative to the baseline year 2015,the sustainable development level in Zaozhuang’s rural areas has shifted toward an improved state overall.②The primary barrier to achieving rural sustainable development in Zaozhuang is the city’s rural governance system.③While the components of rural sustainable development in Zaozhuang are in the early stages of both basic and moderate coordination,an overall enhancement has occurred in their integrative coordination.④Between 2023 and 2025,the level of integrative coordination in Zaozhuang is expected to rise steadily.However,reaching a state of advanced coordination will require additional time for development.

Identifying influencing factors and characterizing key issues in urban sustainable development capacity through machine learning

In response to the United Nations Sustainable Development Goals and China’s“Dual Carbon”Goals(DCGs means the goals of“Carbon Peak and carbon neutrality”),this paper from the perspective of the construction of China’s Innovation Demonstration Zones for Sustainable Development Agenda(IDZSDAs),combines carbon emission-related metrics to construct a comprehensive assessment system for Urban Sustainable Development Capacity(USDC).After obtaining USDC assessment results through the assessment system,an approach combining Least Absolute Shrinkage and Selection Operator(LASSO)regression and Random Forest(RF)based on machine learning is proposed for identifying influencing factors and characterizing key issues.Combining Coupling Coordination Degree(CCD)analysis,the study further summarizes the systemic patterns and future directions of urban sustainable development.A case study on the IDZSDAs from 2015 to 2022 reveals that:(1)the combined identification method based on machine learning and CCD models effectively quantifies influencing factors and key issues in the urban sustainable development process;(2)the correspondence between influencing factors and key subsystems identified by the LASSO-RF combination model is generally consistent with the development situations in various cities;and(3)the machine learning-based combined recognition method is scalable and dynamic.It enables decision-makers to accurately identify influencing factors and characterize key issues based on actual urban development needs.

Impact of taxes on the 2030 Agenda for Sustainable Development:Evidence from Organization for Economic Cooperation and Development(OECD)countries

Multiple ecological and socioeconomic problems have occurred worldwide,raising the awareness of sustainability.This study aims to examine the impact of taxes on Sustainable Development Goals(SDGs)in the context of Organization for Economic Co-operation and Development(OECD)countries.This research used effective average tax(EAT),tax on personal income(TPI),tax on corporate profits(TCP),and tax on goods and services(TGS)as the variables of taxes,and employed secondary data from 38 OECD countries covering 2000–2021.The study also used Breusch-Pagan Lagrange Multiplier(LM),Pesaran Scaled LM,Bias-Corrected Scaled LM,and Pesaran Cross-sectional dependence(CSD)tests to analyze the existence of crosssectional dependency.Then,we established the stationarity of variables through second-generation panel unit root tests(Cross-sectional Augmented Dickey-Fuller(CADF)and Cross-sectional Im,Pesaran,and Shin(CIPS)),and confirmed the long-run cointegration of the variables by using secondgeneration panel cointegration test(Westerlund cointegration test).The results showed that EAT,TPI,TCP,and TGS are positively associated with SDGs.However,the change in TPI has a smaller effect on SDGs than the change in EAT or TCP or TGS.The result of panel causality indicated that EAT,TPI,and TGS have a unidirectional causal relationship with SDGs.The study also found that TCP has a bi-directional causal relationship with SDGs.Moreover,the finding indicated that the OECD countries need to focus on tax policies to achieve the 2030 Agenda for Sustainable Development.This study is based on the theory of optimal taxation(TOT),which suggests that tax systems should be designed to maximize social welfare.Finally,we suggests the importance of taking a comprehensive approach for the managers and policy-makers when analyzing the impact of taxes on SDGs.

Cross-national Perspectives on Using Sustainable Development Goals(SDGs) Indicators for Monitoring Sustainable Development: A Database and Analysis

Sustainable development is the theme of the 21st century. To monitor the progress of sustainable development, the United Nations launched Sustainable Development Goals(SDGs) in 2015. Subsequently, nations of the world have drawn up a list of localized indicators regarding the United Nations SDGs as a paradigm. We established a database including SDGs indicator systems of 11 economies by collecting and determining a large number of materials. Based on this database, we analyzed SDGs indicators by designing a conceptual framework of comparative analysis that included three views. We found that the SDGs indicator systems of 11 economies are different between the number of indicators, the proportion of different categories, and the connotation of indicators. Although the SDGs indicator systems among economies regarded the United Nations SDGs as a framework and included the major social problems related to sustainability, the inconsistency between SDGs indicator systems is large. It is a major reason why scholars lack the systematic method for developing indicators. There are challenges faced in data accessibility. The framework for comparative analysis could be applied to different economies.

Influence of foreign direct investment from China on achieving the 2030 Sustainable Development Goals in African countries

The lack of funding is one of the most important challenges in achieving the 2030 Sustainable Development Goals(SDGs)in African countries.Can foreign direct investment(FDI)from China as an important source of external financing help African countries achieve their SDGs?This study used the panel data random effects model to analyze the influence of China’s direct investment on SDG scores.Then,the study conducted the ordered probit model to examine the influence of FDI from China on the trend of achieving each SDG in Africa,with the SDGs being grouped into social,economic,and environmental dimensions.Results showed that China’s direct investment contributed to the achievement of SDGs in Africa.FDI from China positively influenced the SDG score in general and some of the 17 SDG scores including SDG 7(Affordable and Clean Energy),SDG 8(Decent Work and Economic Growth),SDG 9(Industry,Innovation,and Infrastructure),SDG 12(Responsible Consumption and Production),SDG 13(Climate Action),and SDG 15(Life on Land).The relationship between FDI from China and the trends for SDG 7,8,9,11(Sustainable Cities and Communities),and 14(Life below Water)was significantly positive.However,the SDG scores above belonged to the economic and environmental dimensions,whereas FDI from China had no significant influence on the social-dimension SDG scores and trends.To further expand the scale of China’s direct investment,more investment scopes,particularly those in the social dimension,should be developed.Moreover,China-Africa cooperation should be deepened to create a good investment environment for the achievement of African countries’SDGs and to facilitate China’s implementation of promoting the development of developing countries as mentioned in the 2030 Agenda of Sustainable Development and building the China-Africa community with a shared future.

Prioritizing sustainable development goals and linking them to ecosystem services:A global expert’s knowledge evaluation

The implementation of strategies to achieve the Sustainable Development Goals(SDGs)is frequently hindered by potential trade-offs between priorities for either environmental protection or human well-being.However,ecosystem services(ES)-based solutions can offer possible co-benefits for SDGs implementation that are often overlooked or underexploited.In this study,we cover this gap and investigate how experts from different countries value the SDGs and relate them with ES.A total of 66 countries participated to the survey,and answers were grouped into three macro-regions:Asia;Europe,North America,and Oceania(ENO);Latin America,Caribbean and Africa(LA).Results show that the most prioritized SDGs in the three macro-regions are usually those related to essential material needs and environmental conditions,such as SDG2(Zero Hunger),SDG1(No Poverty),and SDG6(Clean Water).At a global scale,the number of prioritized synergies between SDGs and ES largely exceeded trade-offs.The highest amount of synergies was observed for SDG1(No Poverty),mainly with SDG2,SDG3(Good Health),SDG5(Gender Equality),and SDG8(Economic Growth).Other major synergies among SDGs include SDG14-15(Life below water-Life on land),SDG5-10(Gender Equity-Reduced Inequality),and SDG1-2(No poverty-Zero Hunger).At a global scale,SDG15,SDG13,SDG14,and SDG6 were closely related to ES like climate regulation,freshwater,food,water purification,biodiversity,and education.SDG11(Sustainable Cities)and SDG3 were also relevant in Asia and in LA,respectively.Overall,this study shows the potential to couple future policies that can implement SDGs’strategies while adopting ES-based solutions in different regions of the world.

Integrate ecosystem services into socio-economic development to enhance achievement of sustainable development goals in the post-pandemic era

The COVID-19 pandemic has stalled and rolled back progress on Sustainable Development Goals(SDGs).Ecosys-tem services(ESs),defined as the contributions of ecosystems to human well-being,underpin the achievement of SDGs.To promote SDG achievement in post-pandemic era,we teased out the links between ESs and SDGs while examining the impact of COVID-19.We found that ESs benefited all SDGs,yet man-made pressures led to degra-dation of ecosystems and their services.There is broad consensus that the virus lurks in degraded ecosystems and generates spillover due to human interference.The pandemic and global lockdown/restriction disrupted the flow of ESs and altered human ESs demand,threatening the efforts for the SDGs.We suggested:1)to study the association and traceability of ESs-SDGs under the pandemic;2)to prioritize pressing issues such as health care,livelihood,and resource security and in the long run,we should promote human-nature harmony to achieve the SDGs;and 3)to enhance ESs and to promote the SDGs through local community efforts,ESs accounting,and ecosystem restoration.This paper provides insights into the importance of ESs to the SDGs and the ways to integrate ESs into socio-economic development to promote the SDG achievement after the pandemic.

Identifying interlinkages between urbanization and Sustainable Development Goals

Urbanization and Sustainable Development Goals(SDGs)are important global issues in the current“Anthropocene”.Climate change and the COVID-19 pandemic have exacerbated global urban problems and hindered the ability to meet SDGs on time,while the broad interlinkages between urbanization and the SDGs remain poorly understood.This study shows that among the interlinkages of urbanization with 17 SDGs,synergies are observed with 151 targets(89%),among which 67(40%)have stronger synergies,and trade-offs are observed with 66 targets(39%),among which 31(18%)have stronger trade-offs.Furthermore,the synergies and trade-offs between urbanization and the achievement of SDGs are specifically analyzed based on four fundamental interaction fields:(a)public health and social welfare equality;(b)energy consumption and economic growth;(c)natural resource use and ecological/environmental impacts;and(d)international cooperation for development.Finally,based on these analyses,we propose four recommendations for sustainable urbanization,including(a)shared well-being and spatial justice for urban and rural residents;(b)guiding green and low-carbon urban development;(c)building resilient cities;and(d)promoting multilateral cooperation in cities,which can contribute to the achievement of SDGs by 2030.

Rural sustainable development:A case study of the Zaozhuang Innovation Demonstration Zone in China

Sustainable development is the central theme of modern global development.With the arrival of the urban era,the vulnerability and instability of rural areas have significantly increased,and rural sustainable development faces serious challenges.To address these issues,the study took the Zaozhuang Innovation Demonstration Zone in China under the National Sustainable Development Agenda as a case,combined with economic,social and land use data during 2016-2020,and applied Granger causality test method to explore the theoretical and practical pathways of“innovation-driven rural sustainable development”.The results showed that rural sustainable development and economic sustainability displayed a trend of synergistic change,with“explosive”growth from 2018 to 2020.The social sustainability steadily increased from 2016 to 2020.Ecological and spatial sustainability continuously declined during the study period.Moreover,the rural innovation capacity of the Zaozhuang Innovation Demonstration Zone displayed rapid growth during 2016-2020.Although the rural innovation capacity of the Zaozhuang Innovation Demonstration Zone has rapidly improved,it has a weak driving effect on rural sustainable development and economic sustainability.There are two primary challenges that must be overcome to ensure the rural sustainable development of the Zaozhuang Innovation Demonstration Zone.The first challenge is the imbalance among the multi-dimensional relationships in the process of rural sustainable development,and the second challenge is the weakening of rural innovation capacity to drive rural sustainable development.To overcome these challenges,this study proposed a systematic pathway for rural sustainable development in the Zaozhuang Innovation Demonstration Zone from multidimensions,such as policy actions,technologies,projects,and institutional guarantees,and formed a universal and representative“Zaozhuang model”.This study expands the theoretical foundation of rural sustainable development and provides theoretical and practical support for innovation-driven rural sustainable development.

Constructing demonstration zones to promote the implementation of Sustainable Development Goals

After the United Nations Agenda 2030 was officially launched in September 2015,governments around the world have taken actions to implement the ambitious plan.This paper summarizes the actions and policies taken in China for promoting the implementation of the UN’2030 Agenda for Sustainable Development,with emphasis on promoting the development of demonstration zones for delivery of the Sustainable Development Goals(SDGs).The Chinese government has taken two types of measures.One is to formulate a series of national plans and strategies and the other is to construct pilot and demonstration zones.Two approaches were presented to optimize the selection criteria for demonstration zones:a problem-based approach;and a major function-based approach.Both provided priority regions and major themes for selection and construction of demonstration zones.Suggestions for promoting the development of demonstration zones include:(1)building a monitoring system for the implementation of SDGs in each demonstration zone and establishing an open online platform to track the progress;(2)forming an effective stakeholder participation mechanism.The experiences in constructing innovation-driven demonstration zones are insightful for other countries to take practical actions in the delivery of SDGs.

Are SDGs suitable for China's sustainable development assessment? An application and amendment of the SDGs Indicators in China

In order to further ensure that the 2030 Agenda for Sustainable Development is to be implemented and the action measures of all countries are consistent, the United Nations has put forward a set of indicators to monitor and evaluate the progress of global sustainable development. This set of evaluation indicators is aimed for global and regional progress. An important feature of the evaluation indicators is that they are internationally comparable, but due to the large differences in the levels of sustainable development among countries, this framework of evaluation indicators has a disadvantage that it does not apply to tracking the progress of sustainable development at the national level. This paper focuses on the analysis of specific issues in the application of the global sustainable development indicators framework to meet the goals and targets of the UN and builds a system of evaluation indicators to assess the progress of sustainable development at the national level in China, and offers a perspective to assess China’s progress as well.

The Russian‐Ukrainian armed conflict will push back the sustainable development goals

The Russian-Ukrainian armed conflict is a dramatic world event. Apart from the loss of life, the present conflicthas tremendous impacts on the environment, economy, and society. The conflict provoked a ripple of events withimplications at the global level, especially in energy and food. The escalation of this conflict is imposing severethreats to achieving the United Nations (UN) Sustainable Development Goals (SDGs) not only to the countries di-rectly involved in the conflict but also to other countries, especially the developing ones that are more vulnerableto the economic crisis. In this editorial, we assessed the impacts of the Russian-Ukrainian conflict on BiophysicalSDGs, Social SDGs, Economic SDGs and Partnership for the Goals SDG that consider all the previous dimensions.The Russian-Ukrainian conflict’s impact on the SDGs is variable. Biodiversity SDGs are mainly affected at theregional level (Russia, Ukraine, surrounding and European Union countries). Society SDGs are affected at local(e.g., SDG3 good health and wellbeing;SDG4 quality education) and global (e.g., SDG2 zero hunger) levels. Fi-nally, the Russian-Ukrainian armed conflict has world-level implications for the economic SDGs. Nevertheless,the ongoing conflict’s impacts are not entirely understood, and several uncertainties exist. Peace is needed toachieve the UN’s SDGs in 2030.

Employment and development levels in rural areas of the Russian Federation

The development of agro-industrial complex is important for ensuring national food security and national health.The development of rural areas is subject to the development of agriculture and local infrastructure,as well as the availability of various services.This study selected 15 indicators in 2021 to analyze the employment and development levels in rural areas of 71 regions of the Russian Federation using the analytical grouping method.The results indicated that 20 regions(Group 1)had the highest percentage of rural population(33.10%).The percentage of population engaged in agriculture had the highest value(12.40%)in 31 regions(Group 2).Moreover,20 regions(Group 3)had the highest investments in fixed assets at the expense of municipal budget(11.80 USD/person).Increasing the investments in fixed assets carried out from the budget of the municipality can improve the employment level in rural areas.Then,we used cluster analysis to divide 14 regions of the Volga Federal District in the Russian Federation into 3 clusters.Cluster 1 covered Kirov Region and Republic of Mari El;Cluster 2 included Ulyanovsk Region,Saratov Region,Nizhny Novgorod Region,Perm Territory,Orenburg Region,Chuvash Region,and Republic of Mordovia;and Cluster 3 contained Republic of Tatarstan,Samara Region,Udmurtian Republic,Penza Region,and Republic of Bashkortostan.Results indicated that the 2 regions of Cluster 1 need to increase the availability of resources and natural gas and improve the investment attractiveness of rural areas.The 7 regions of Cluster 2 needed to develop infrastructure,public services,and agricultural production.We found the highest employment level in rural areas,the largest investments in fixed assets at the expense of municipal budget,the largest residential building area per 10,000 persons,and the largest individual residential building area in the 5 regions of Cluster 3.This study makes it possible to draw up a comprehensive regional development program and proves the need for the development of rural areas,which is especially important for the sustainable development of the Russian Federation.

Exploring the nexus between Indian forestry and the Sustainable Development Goals

Forests are considered as a sacred asset in India and have guided the way of living throughout its history.Indian forests not only accommodate the myriad species but also act as a survival support system to the communities that depended on them.The 2030 Agenda for Sustainable Development proposed by the United Nations(UN)has gained momentum and becomes an integral part of the recent efforts of Indian governance.In this investigation,we examined the potential nexus between Indian forestry system(biodiversity-enriched assets,ecosystem services,constitutional mechanisms,and governances)and Sustainable Development Goals(SDGs)through theoretical underpinnings from literature that selected from database like Google Scholar,Indian forest survey reports,and information retrieved from Indian government websites.The significance of this review is that it presents comprehensive information about Indian forestry,biodiversity-rich assets,and sustainable forest management practices.The results show that Indian forestry as a whole is an integral part of the food-energy-water cycle and contributes to all dimensions of sustainable development,i.e.,economic sustainability,social sustainability,and environmental sustainability.The investigation confirms that besides partly contributing to the economy and life support systems to many dependent species,forests also act as boosters in the areas of food security and health.Targets related to the climate action,peace,and partnership goals are well in place through various forestry interventions and environmental commitments by the Government of India.

城市层面落实联合国2030年可持续发展议程的中国探索:国家可持续发展议程创新示范区

建设国家可持续发展议程创新示范区(简称“创新示范区”)是中国统筹国内国际发展形势作出的重要决策部署,旨在依靠以科技创新为核心的全面创新,探索可持续发展问题的系统解决方案,为国内同类地区可持续发展发挥示范带动作用,为其他国家落实联合国2030年可持续发展议程提供中国经验。创新示范区工作启动6年来,中国把这项工作作为实施创新驱动发展战略和可持续发展战略的重要抓手,建立健全工作机制,以城市为载体,按照“一城一主题”的要求,国务院先后三批次批复建设了11个创新示范区,汇聚各方力量和资源有效推动了创新示范区的建设和发展,在推进机制、建设内容等方面彰显了创新示范区的建设特色和经验,在国际社会形成了较大影响力。中共二十大擘画了以中国式现代化全面推进中华民族伟大复兴的宏伟蓝图,创新示范区建设需要围绕促进人与自然和谐共生等中国式现代化的本质要求,进一步完善指导创新示范区建设的理论体系,丰富地方可持续发展的具体实践,增强内生动力,把党中央、国务院的决策部署落在实处。基于此,该研究进一步分析了推进创新示范区建设需要深入讨论和关注的关键问题,结合新形势新要求,提出了推进创新示范区建设的思路,以期为创新示范区未来的发展提供借鉴。

基于SDGs的乡村可持续发展评价指标体系

在城镇化和工业化不断深入推进的背景下,乡村正面临严峻的人口流失、城乡收入差距扩大、农业资源价值实现不充分、城乡二元结构突出等不可持续问题,已经成为中国全面落实联合国可持续发展目标(SDGs)的短板。对接国家乡村振兴战略、可持续发展战略的实施需求,在乡村可持续发展的概念演变与发展形势分析基础上,该研究瞄准实现可持续发展目标的3个基本维度(发展动力、发展质量、发展公平),从乡村生产要素、自然要素、社会要素与乡村治理四个方面讨论了乡村可持续发展的内涵及核心目标,即:激活乡村产业发展动力,保障乡村发展质量,建设公平和谐乡村社会,形成健全乡村治理机制,尝试阐释“什么样的乡村才是可持续发展的乡村?”这一核心命题。借鉴当前国家和城市层面SDGs进展情况的评价经验和评估范式,讨论了乡村可持续发展评价指标体系设计的基本原则、构建思路和评估方法。聚焦乡村可持续发展目标与方向,在SDGs本土化探索经验分析基础上,统筹国家相关战略、规划和政策行动确定的关键指标,识别筛选了乡村可持续发展密切相关的SDGs考核指标,构建了由136项指标组成的乡村可持续发展基础指标库。考虑乡村可持续发展能力和水平评估的现实需求,进一步确定了由4大目标层、13项准则层和34项具体指标组成的乡村可持续发展评估指标体系和评价技术,以期为系统评估乡村SDGs的进展、精准识别乡村发展的不可持续性问题提供依据,为乡村振兴战略与可持续发展战略的融合提供理论、技术与决策支撑,助力乡村落实2030年可持续发展议程。

联合国2030年可持续发展议程的广州实践

在梳理当前联合国可持续发展目标地方化研究与实践进展的基础上,总结广州作为首个在联合国官网登出地方自愿陈述报告的城市的工作经验:与城市发展远景规划目标和体检评估工作相结合,对可持续发展目标进行在地化转译;参考国际城市经验和广州工作基础,采用“重点优先+滚动评估”模式;突出“定性+定量”评估,系统总结可持续发展目标的落实进展与经验;重视公众参与,创新多元评估方法;推动评估反馈,以行动践行可持续发展目标;开展广泛交流宣贯工作,讲好广州故事。

全球教育治理的一次成功实践——对国际社会制定“2030教育议程”的回忆

联合国在2015年9月举行的历史性首脑会议上通过了《2030年可持续发展议程》。这一包括17项可持续发展目标(SDGs)和169项具体目标的纲领性文件旨在推动全球在以后的15年内实现三个史无前例的目标−消除极端贫困、战胜不平等与不公正、抑制气候变化。其中第4个目标(SDG4)是“确保包容和公平的优质教育,让全民终身享有学习机会”,这个目标及其涵盖的7个具体目标与3个实施方式,被国际教育界称为“2030教育议程”。联合国及其专门机构在2012年至2015年期间,就2015年后的可持续发展议程组织了堪称联合国历史上最为复杂的一次集体磋商。笔者作为联合国教科文组织(UNESCO)负责教育的助理总干事亲身参与并主导了“可持续发展目标4(教育)”的全球磋商,最终在所有利益攸关方的共同努力下达成了共识,其过程堪称制定国际规则的教科书式的典型案例,也可以说是全球教育治理的一次成功实践。本文介绍了国际社会制定这个全球教育发展目标的来龙去脉,记述了磋商过程中各利益攸关方在台前幕后的博弈与妥协。希望这些史料帮助我国教育界对“2030教育议程”有较全面的理解,对全球教育治理体系运作方式有进一步的认识。