收益视角下我国产业环境压力与经济效益分析

在实现经济效益的同时，兼顾可持续发展已成为推进产业新常态发展的必然选择.本文首先采用多区域投入产出的戈什模型，从行业层面核算了我国各产业2009年的收益侧完全碳排放系数和感应力系数，然后根据2个系数的大小将34个产业部门划分为4大类.实证结果表明：第Ⅰ类行业对经济的推动能力较好，同时对环境产生的负面影响较大.第Ⅱ类行业需要促进行业内整合，提高行业的能源利用率.第Ⅲ类行业属于福利性产业，应当予以保护和支持.Ⅳ类行业具有较高的感应力系数和较低的完全收益侧碳排放系数，兼具行业友好和经济效益，满足当前供给侧结构性改革的内在要求，需要鼓励和发展.     

关于改进个人所得税制的思考

我国个人所得税制实施至今,对国民经济的发展起到了不可替代的作用,同时也日益暴露其不足之处。本文就如何改进现行税制,提出五种改进方法,以期使个人所得税真正成为良税。     

信息对农民增收的影响及效应分析

通过建立模型,分析了信息对农民收入的影响,结果显示,信息量、信息渠道对信息的扭曲等严重制约了农民收入的提高;目前,我国农民信息渠道单一,信息量小已经成为制约农民收入增长的重要影响因素。     

A Cross-National Analysis of How Economic Inequality Predicts Biodiversity Loss

Abstract:  We used socioeconomic models that included economic inequality to predict biodiversity loss, measured as the proportion of threatened plant and vertebrate species, across 50 countries. Our main goal was to evaluate whether economic inequality, measured as the Gini index of income distribution, improved the explanatory power of our statistical models. We compared four models that included the following: only population density, economic footprint (i.e., the size of the economy relative to the country area), economic footprint and income inequality (Gini index), and an index of environmental governance. We also tested the environmental Kuznets curve hypothesis, but it was not supported by the data. Statistical comparisons of the models revealed that the model including both economic footprint and inequality was the best predictor of threatened species. It significantly outperformed population density alone and the environmental governance model according to the Akaike information criterion. Inequality was a significant predictor of biodiversity loss and significantly improved the fit of our models. These results confirm that socioeconomic inequality is an important factor to consider when predicting rates of anthropogenic biodiversity loss.     

Income Growth,Urbanization, Changing Life Style and Energy Requirements in China

Abstract

This paper aims to estimate the effects of changing life style and consumption demands driven by income growth and urbanization on increase of energy requirements in China, and estimate the impacts of improvement in household consumption on mitigating energy requirements towards 2020, based on input-output analysis and scenarios simulation approach. The result shows that energy requirement per capita has increased by 159% for urban residents and 147% for rural residents from 1995 to 2004. Growth in household consumption driven by income growth and urbanization may induce a successive increase in energy requirements in future. Per capita energy requirements of urban residents will increase by 240% during 2002–2015 and 330% during 2002–2020. Urbanization might lead to 0.75 billion ton of increment of energy requirements in 2020. About 45%–48% of total energy requirements in China might be a consequence of residents’ life styles and the economic activities to support consumption demands in 2020. Under low-carbon life style scenario, per capita energy requirements of urban residents may decline to 97% in 2015 and 92% in 2020 in contrast with baseline scenario. That implies that China needs to pay a great attention to developing green low-carbon life style in order to realize mitigation target towards 2020.     

The Empirical Analysis of the Impacts of Income Distribution Gap on Consumption Demand: Based on the Statistic Data of Chinese Urban Residents in 2000–2010

Abstract

This paper analyzes the impact of income distribution gap on consumption demand from a theoretical view, and draws the conclusion that there is an inverse relationship between income distribution gap and consumption demand. Then, the paper finds that the existing widening income distribution gap in China has a negative impact on consumption demand, but this is not the key factor for the insufficient consumption demand because of the low level of per capital income. At last, it suggests that governments should improve the income level of entire residents and adjust income distribution structure simultaneously.     

People’s dependency on forest resources and contributions of forests to the livelihoods: a case study in Chittagong Hill Tracts (CHT) of Bangladesh

The study was conducted to investigate people’s forest dependency and contributions of forests to the livelihoods in the three hill districts of Chittagong Hill Tracts (CHT), Bangladesh. The study revealed that forest resources contribute significantly to rural community’s livelihoods and economic well-being. Using generalized logistic regressions, this study has also investigated the socioeconomic factors that affect people’s dependency on forest resources of CHT. The study revealed that people’s income from forest and forest-related occupation was positively aligned with their forest dependency. However, their education level significantly reduced their dependency on forest resources. Thus, educating the forest-dependent people and supporting alternative income generation activities should be appreciated for effective forest management in CHT. This study will be helpful to forest and environmental policy makers for CHT.     

基于多因素的我国城乡收入差距实证分析

本文从宏观经济学“收入=消费＋储蓄”这个恒等式和我国经济、人口的相关数据,动态上测算出不同时期我国城市居民和农村居民的收入,总体上估计了我国城乡收入差距的大小,其结果更接近当前我国社会的现实。由此可以看出我国城乡收入差距将有不断扩大的必然趋势。本文进一步把城乡收入差距分解为消费差距和储蓄差距,并且考察了我国人口和产业的演进,分析了它们各自对现在和今后形成差距的影响,表明我国城乡收入差距不断扩大的原因是：城乡资源占有不均等的制度和由于制度原因形成的存量资产（储蓄）又在市场作用下继续拉大差距的双重因素。所以,政府不仅要使农民“减负”、“增收”,而且要运用法律、财政、税收等手段,多管齐下,改变目前的资源分配格局,方能解决“三农”问题之痼疾。     

Estimating the benefits and costs to mountain bikers of changes in trail characteristics,access fees,and site closures: choice experiments and benefits transfer

Mountain biking is an increasingly popular leisure pursuit. Consequences are trail degradation and conflicts with hikers and other users. Resource managers often attempt to resolve these problems by closing trails to mountain biking. In order to estimate the impact of these developments, a model has been devised that predicts the effects of changes in trail characteristics and introduction of access fees, and correlates these with biker preference on trail selection. It estimates each individual's per-ride consumer's surplus associated with implementing different policies. The surplus varies significantly as a function of each individual's gender, budget, and interest in mountain biking. Estimation uses stated preference data, specifically choice experiments. Hypothetical mountain bike trails were created and each surveyed biker was asked to make five pair-wise choices. A benefit-transfer simulation is used to show how the model and parameter estimates can be transferred to estimate the benefits and costs to mountain bikers in a specific area.     

土地流转与农户收入增长——基于收入结构的视角

农户参与土地流转能否产生正的收入效应是一个广为社会各界关注的问题,然而已有的经验研究结论却大相径庭,文章以为对土地流转异质性影响的忽视是导致诸多土地流转收入效应研究结论不一致的关键。基于此,文章应用2010—2018五轮中国家庭追踪调查数据(CFPS),分析土地流转对不同农户类型、不同收入来源的影响差异。基本实证结果表明:第一,土地流转确实会增加农户收入,但是主要表现为对转出农户有正的收入效应,对转入农户的家庭纯收入影响并不明显。第二,土地流转对转入农户与转出农户的不同类型收入的影响并不一致。转出户工资性收入增长幅度远高于经营性收入下降幅度,工资性收入对转出户家庭纯收入的增长贡献接近80%;转入户的经营性收入增长无法弥补工资性收入下降,导致家庭总收入水平没有显著变化。以上实证结果经双重差分模型、处理效应模型等一系列模型敏感性分析后并未改变,表明文章的基本结论是稳健的。进一步地,文章对收入异质性的原因进行分析,发现土地流转对不同农户的劳动力资源配置决策影响存在差异,转出户外出务工与创业的概率增加,非农生产的劳动力投入增加;而转入户则在农业生产中投入更多资源,包括家庭农业劳动参与增加以及农业投入增加。文章进一步的政策讨论也发现,由于转出农户对技术改进的依赖性较弱,转出农户只需要保证能够找到一份替代工作就可以获得更高的收入;但对转入农户而言,由于缺乏足够的技术帮扶,所以他们的土地生产改进有限,反而难以产生土地流转理论提到的资源配置优化,这可能会限制土地流转市场的进一步扩大。综上,文章研究为优化土地流转政策、提高土地流转参与率,并最终实现农户的社会福利改善提供了一定的理论与经验证据支持。