Regional disparity of embedded carbon footprint and its sources in China: a consumption perspective

Carbon emission reduction could be achieved through extensive cooperation between relevant groups such as businesses, governments and consumers. Generally, carbon emissions stem from consumer behaviour. To tackle the increasingly serious energy crisis and climate change in China, it is thus vital to control carbon emissions generated by the country's urban consumers. From a consumption perspective, we utilize a self-organizing feature map model to analyse the spatial differentiation of per capita embedded carbon footprint (ECF) in urban China. We found that the spatial differentiation is significant with the per capita ECF of the east coastal area at a high level and that per capita disposable income is the key factor affecting ECF. Based on these findings, potential business opportunities to develop low-carbon products are discussed.     

Assessing Variability of Complex Descriptive Statistics in Monte Carlo Studies Using Resampling Methods

Good statistical practice dictates that summaries in Monte Carlo studies should always be accompanied by standard errors. Those standard errors are easy to provide for summaries that are sample means over the replications of the Monte Carlo output: for example, bias estimates, power estimates for tests and mean squared error estimates. But often more complex summaries are of interest: medians (often displayed in boxplots), sample variances, ratios of sample variances and non‐normality measures such as skewness and kurtosis. In principle, standard errors for most of these latter summaries may be derived from the Delta Method, but that extra step is often a barrier for standard errors to be provided. Here, we highlight the simplicity of using the jackknife and bootstrap to compute these standard errors, even when the summaries are somewhat complicated. © 2014 The Authors. International Statistical Review © 2014 International Statistical Institute     

Varying Coefficient Regression Models: A Review and New Developments

Varying coefficient regression models are known to be very useful tools for analysing the relation between a response and a group of covariates. Their structure and interpretability are similar to those for the traditional linear regression model, but they are more flexible because of the infinite dimensionality of the corresponding parameter spaces. The aims of this paper are to give an overview on the existing methodological and theoretical developments for varying coefficient models and to discuss their extensions with some new developments. The new developments enable us to use different amount of smoothing for estimating different component functions in the models. They are for a flexible form of varying coefficient models that requires smoothing across different covariates' spaces and are based on the smooth backfitting technique that is admitted as a powerful technique for fitting structural regression models and is also known to free us from the curse of dimensionality.     

敦煌种业财务绩效评价研究

选择以农业上市公司敦煌种业为研究对象,以企业2014—2019年的报表数据为基础,采用功效系数法并以国务院国资委所编写的《企业绩效评价标准值》中国有企业绩效评价体系作为参考,构建对农业企业的财务指标评价体系,对敦煌种业2014-2019年企业财务指标的表现进行纵向分析,选择同行业中营业收入水平较高的北大荒进行横向对比,通过对比发现敦煌种业的问题主要体现在盈利能力和资产质量方面,对此提出了改进措施及建议。     

企业财务风险预警指标体系构建研究

本文以现有财务管理、财务预警系统理论和实践研究为基础,从筹资风险、投资风险、经营风险和收益分配风险四个方面建立财务风险预警指标体系,最后通过使用层次分析法、综合功效系数法等技术,设计了一套初级的企业财务风险预警模型。本文以我国深市所有石油上市公司为研究样本,有一定的实际价值。     

中国政府科技投入变化态势及与经济增长的关系

全面剖析了1953—2014年中国政府科技投入的规模和强度的变化态势,系统分析了政府科技投入与经济增长的弹性系数的变化情况。通过回归分析和协整检验,分析了1953—2014年中国政府的科技投入与经济增长的相关性。结果表明:1953—2014年中国政府科技投入的规模和强度不断加大,政府科技投入对经济增长的平均贡献率达到13.2%;政府科技投入与GDP增长之间存在较强的正相关关系和长期动态均衡关系。指出:为实施创新驱动发展战略、实现建设创新型国家的宏伟目标,应稳定增加政府科技投入、优化科技投入结构、完善和创新科技投入管理体制机制。     

The impact of agricultural policy on farm income concentration: the case of regional implementation of the CAP direct payments in Italy

One of the objectives of agricultural policy worldwide concerns the support of farm income. Common Agricultural Policy direct payments (DPs) are the main instruments to support farm income in the European Union. This article addresses their role in the concentration of farm income. This is done by calculating the Gini coefficient and its disaggregation in a large sample of Italian farms in the period between 2006 and 2007. Although this approach has been used to develop ex‐post analysis in previous studies, this article is innovative given that it is used here in an ex ante analysis aimed at evaluating the likely impact of a recent reform proposal. This latter requests changing the current model to a regional model of DPs application to make payment rates (i.e., payment per hectare) homogeneous among farms in the same region. The analysis shows that DPs and farm incomes are both very concentrated but that DPs allow for an income concentration reduction in Italian farms. The shift to a regional implementation reduces DPs concentration and, to a limited extent, farm income concentration. Of the considered regionalization scenarios, those that redistribute DPs among regions are the most effective in reducing concentration. The extension of the Gini considered approach to an ex ante setting seems effective because it provides insights that could feed the policy debate regarding the forthcoming reform.     

民族山地特色经济研究——以芭蕉侗族乡茶叶经济为例

湖北民族地区主要以山地地形为主,但又各具特色.本文在调查芭蕉侗族乡具有茶叶特色的山地经济的基础上,运用泰尔系数对其进行较为详尽的分析,并寻求原因,进而初步建构了适合芭蕉侗族乡的山地经济开发系统.     

The Role of Human Capital,Market Potential and Natural Amenities in Understanding Spatial Wage Disparities in Chile

Abstract

This paper presents an empirical framework for analysing spatial wage inequality in Chile. Chile is primarily characterized by two stylized facts: the high spatial concentration around the metropolitan area and the key role of natural resources in the country. The paper considers both elements in a competition between NEG (new economic geography) and a theory based on natural resource endowment, with both theories incorporating human capital via a multilevel analysis. The results show the poor performance of NEG for Chile and indicate that natural resources are the principal cause of spatial wage variability in Chile.

RÉSUMÉ La présente communication illustre un cadre d'analyse empirique de l'inégalité spatiale entre les salaires, au Chili. Le Chili est caractérisé principalement par les deux faits stylisés suivants : une concentration spatiale élevée autour de la zone métropolitaine, et le rôle essentiel que jouent les ressources naturelles dans ce pays. Cette communication se penche sur ces deux éléments dans le cadre d'une compétition entre deux théories : d'une part la nouvelle géographie économique (« NEG »), de l'autre une théorie fondée sur la dotation en ressources naturelles, ces deux théories incorporant le capital humain par le biais d'une analyse à multiples niveaux. Les résultats démontrent les mauvais résultats de NEG pour le Chili, et indiquent que les ressources naturelles sont la principale cause de la variabilité spatiale des salaires au Chili.

EXTRACTO Este estudio presenta un marco empírico para analizar la desigualdad espacial de los salarios en Chile. Chile se caracteriza principalmente por dos hechos estilizados: la alta concentración espacial alrededor del área metropolitana y la función clave de los recursos naturales del país. El estudio considera ambos elementos en una competición entre la NEG (Nueva Geografía Económica) y una teoría basada en el legado de recursos naturales, donde ambas teorías incorporan el capital humano a través de un análisis de múltiples niveles. Los resultados muestran un bajo rendimiento de la NEG en relación con Chile e indican que los recursos naturales son la causa principal de la variabilidad espacial de los salarios en Chile.

摘要: 本文提出了一种分析智利区域工资不均的经验框架。智利主要有两大特点: 大城市地区高度空间聚集和农村地区自然资源作用巨大。本文在对NEG (新经济地理学) 和基于自然资源储藏量的理论进行比较时, 考虑了这两个因素, 同时还通过多层次分析纳入了人力资源因素。结果显示智利NEG性能很差, 表明智利区域工资差异的主要原因是自然资源。