浅谈再生资源产业发展

随着改革开放进一步扩大和经济建设的持续快速发展,我国再生资源回收利用事业得到了较快发展。但是,再生资源产业存在着市场混乱、法律政策不完善及综合利用水平低等问题。通过对我国再生资源现状分析对我国再生资源产业发展作了展望。     

基于非参数方法的中国棉花产出规模效率时空特征

人类需要的无限性和用来满足需要的各种稀缺资源之间的矛盾,要求人们对生产资源进行有效配置。为研究中国棉花流通体制市场化改革以来,棉花生产资源的配置效率--产出规模效率及其时空特征,基于生产前沿面理论的非参数方法,利用生产资源配置效率测度软件对中国棉花主产区的棉花产出规模效率进行了具体测定与分析。结果表明：中国棉花产出规模效率时空差异显著,报告期长江流域优于黄河流域,同时两大流域棉花产出规模效率变化态势与我国棉花流通体制市场化改革的政策安排高度相关。认为中央政府应根据市场化进程中棉花生产所表现出来的新特点与市场调节出现的新问题,适时做出进一步激励棉花生产,最大程度发挥产出规模效率的政策安排。     

四川水土资源可持续利用与生态保护

保护好四川水土资源和生态环境,对保障全国粮食安全,对全国的生态保护与建设和长江中下游地区的经济发展均有十分重要的意义。系统分析研究了四川水土资源与生态保护现状,针对水土流失面广强度大、土地沙化、退化和荒漠化严重、人地矛盾日益尖锐、粮食安全保障问题日益凸显、水资源利用率低、旱灾严重等问题,提出了切实保护耕地资源,确保基本农田保护面积总量不减少、质量不降低;合理确定退耕还林规模,稳定和保护现有耕地面积;加大中低产田土改造力度,节约集约利用有限的土地资源;节约用水,加强水利工程建设,提高水资源利用率和供水能力;加强对水土流失的综合治理等5条水土资源可持续利用与生态环境保护的相应对策与措施。     

Resources and international climate change policy gridlock

Few other policy zones are as complex as the issue of climate change. If the more pessimistic projections of climate change doom are correct, then the failure to address the issue is likely to be catastrophic and irreversible. The Inter-governmental Panel on Climate Change has predicted the potential extinction of many species and that the existence of small-island and other vulnerable countries will be threatened if business-as-usual greenhouse gas emissions continue. Climate change is a transboundary problem and requires unprecedented levels of cooperation between states and serious and sustained responses from major emitters. However, the growing demand and consumption of natural resources for continued energy security and cornucopian economic growth have undermined the outcomes of international climate change negotiations. It is argued here that there is a strong connection between the major emitters’ positions at United Nations’ climate talks, their possessions, dependence and consumption of natural resources, and the continued undermining of international climate change policy for unsustainable growth. This paper assesses the resource politics of the US, China, India, Canada, Russia, and Saudi Arabia and their positions at climate talks to show the link between lack of climate change policy progress and the positions of these main players.     

Renewable energy potential in India and future agenda of research

ABSTRACT

Demand of electrical energy is exponentially increasing causing environmental problems due to extensive use of fossil fuels. Hence, research has been promoted in renewable energy technologies to mitigate environmental pollution. Indian subcontinent is rich in renewable energy sources (RES). This paper describes potential of RES and region-wise installed capacity in India. Estimated potential of RES is 57 GW which is targeted to be 175 GW by 2022. A logical framework for our future research work has been presented. This includes performance optimisation of solar pumping system and reliability assessments of the designed system using reliability indices.

Abbreviation: RES: Renewable energy resources; SHP: small hydro plants; GOI: Government of India; MNRE: Ministry of New and Renewable Energy; LHP: large hydropower; BCM: billion cubic metres; PEC: per-capita energy consumption; JNNSM: Jawaharlal Nehru National Solar Mission; DNI: direct normal irradiance; SPV: solar photovoltaic; UMPP: ultra mega green solar power project; GIS: geographic information systems; WMS: wind monitoring stations; MPWL: Madhya Pradesh windfarms Ltd.; MIB: mat river basin; SWAT: Soil and Water Assessment Tool; ROR: run of river; SMS: short message service; CDM: clean development mechanism; NIOT: national institute of ocean technology; LOLP: loss of load probability; CSO: Central Statistics Office; CEA: Central Electricity Authority; TERI: The Energy and Resources Institute; WPI: Wind Power India; IEA: International Energy Agency; EAI: Energy Alternatives India; BKP: Biomass Knowledge Portal; IRENA: International Renewable Energy Agency; GAIN: Global Agricultural Information Network; NITI: National Institution for Transforming India; NIWE: National Institute of Wind Energy; UP: Uttar Pradesh; J&K: Jammu and Kashmir; HP: Himachal Pradesh; NR: northern region; MP: Madhya Pradesh; WR: western region; TN: Tamil Nadu; AP: Andhra Pradesh; SR: southern region; ER: eastern region; NER: north eastern region; A&N: Andaman & Nicobar     

Relations between Environmental Right for Citizens and the Right to Use Environmental Resources owned by Company and Enterprise

Abstract

From angles of administrative law and private law, the article analyzes relations between environmental right for citizens and the right to use environmental resources owned by company and enterprise and points out three principles to balancing two relations: A principle of equal protection, a principle that general interest is superior to special interest as well as taking an account for special interest, in specific circumstances, for example, in the circumstance that clashes between environmental and economic interests can not be avoided, policy makers can put an emphasis on more important social interest according after considering weight of each interest. Finally, the article reaches a conclusion that China should establish system of environmental right for citizens from legislative and administrative levels so that a harmonious society can be constructed with guarantee.     

西部水资源开发利用风险现状评价

我国实施西部大开发战略后,西部水资源开发利用问题变得越来越突出.为了弄清楚西部水资源开发利用存在的风险现状,本文在风险概念的基础上探讨了水资源开发利用风险概念和影响因素,并构建了西部水资源开发利用风险评价指标体系.根据水资源系统表现出多模态、突跳和发散的基本突变特征,论述了运用突变理论评价水资源开发利用风险具有一定的可行性,将突变理论引入到水资源开发利用风险评价中,对西部水资源开发利用风险进行评价.首先对各项风险评价指标按照重要性排序,并对各指标值进行无量纲化;然后利用突变模型的归一公式和突变模型的评价准则进行递归运算,最后求出各层指标相对风险值(突变隶属度),将评价结果与风险等级对照,综合判断和分析各层各项指标相对风险状况.计算结果表明:在西部12个省份中,各层指标的风险值差异显著,但是水资源开发利用综合风险值分布在0 66-0.92之间,总体上属于中高度风险水平,12省份风险从小到大排序为:西藏→陕西→重庆→四川→青海→云南→贵州→广西→内蒙→甘肃→新疆→宁夏,这一结果与西部12省份水资源开发利用实际状况相符,可以为西部大开发过程水资源合理有效利用和管理提供风险决策参考依据.     

Local communities' participation in decision-making processes through planning and budgeting in African countries

Community participation and community based management are topical themes in current policy and discussion revolving around decision-making processes especially those dealing with natural resources management.This review shows that while governments have accepted the need to either cede or devolve control and management of natural resources to the local communities,the communities are not part and parcel of the planning and budgeting which are crucial in decisionmaking.Communities were seen to be more involved in the implementation of natural resource management programs but lacked ownership of the projects.This causes lack of commitment to the programs and at times hostile reaction from the communities.The communities are always at the receiving end when it pertains to losses in the exchange.Community participation was shown to be effective when the local population is involved not as co-operating users but as natural resource managers or owner managers.     

Is a negative correlation between resource abundance and growth sufficient evidence that there is a “resource curse”?

Evidence from cross-sectional growth regressions suggests that economies dependent on natural resource exports have had slower growth than resource scarce economies. Explanations for this “curse of resources” focus on institutional and market failures caused by resource abundance. With a simple two sector model exhaustible resource model, we demonstrate that the correlation between growth and natural resource abundance can be negative in the absence of market and institutional failures. Since there is no way to distinguish between efficient and inefficient equilibria on the basis of the negative correlation between growth and resource abundance, finding that correlation is not sufficient to conclude resources are a curse, nor is it necessary to find a positive correlation between growth and resources to overturn the resource curse interpretation. We show whether resources are a curse or a blessing for an economy can only be determined by an investigation of the correlation between resource abundance and income levels. Using panel data for U.S. states for the period 1970-2001, we show that resource abundance is negatively correlated with growth rates but positively correlated with income levels.