The shared environmental responsibility principle: new developments applied to the case of marine ecosystems

Estuaries provide advantageous sites for both harbors and fish habitats. In many countries, harbor expansion in estuaries contributed to the decline of fish populations with impacts at the global scale. Restoring these habitats is important to prevent a global biodiversity crisis but is costly and potentially unaffordable for polluters under the Polluter Pays Principle. Such affordability issues prompt decision-makers to reduce environmental targets of restoration programs. Harbor infrastructures destroy fish habitats but generate benefits for society and contribute to the public interest, raising some questions on who is responsible for environmental degradations and who can afford environmental restoration costs? One way to allocate restoration costs is to analyze the amount of harbor services consumed by economic sectors. This paper addresses these questions by computing burden sharing scenarios with an input–output matrix. These scenarios are simulated under the shared responsibility principle to distribute restoration costs among stakeholders in the Seine estuary, France.     

Appropriate assumption on cross-hauling national input–output table regionalization

Input–output tables are useful for regional economic analyses. Although scholars often regionalize national input–output tables, cost-related issues make surveying regional trade flow difficult; hence, non-survey approaches are implemented instead. While location quotient (LQ) approaches have been used widely, they ignore cross-hauling in interregional trade. Therefore, alternative non-survey approaches with different assumptions on cross-hauling are used, such as cross-hauling depends on regional size and cross-hauling is proportional to its potential determined by output or demand. This study concludes that the most appropriate assumption, as per the relative performance of non-survey approaches, is that cross-hauling is in proportion to trade volume.     

Heteroskedasticity-consistent covariance matrix estimators for spatial autoregressive models

In the presence of heteroskedasticity, conventional test statistics based on the ordinary least squares (OLS) estimator lead to incorrect inference results for the linear regression model. Given that heteroskedasticity is common in cross-sectional data, the test statistics based on various forms of heteroskedasticity-consistent covariance matrices (HCCMs) have been developed in the literature. In contrast to the standard linear regression model, heteroskedasticity is a more serious problem for spatial econometric models, generally causing inconsistent extremum estimators of model coefficients. This paper investigates the finite sample properties of the heteroskedasticity-robust generalized method of moments estimator (RGMME) for a spatial econometric model with an unknown form of heteroskedasticity. In particular, it develops various HCCM-type corrections to improve the finite sample properties of the RGMME and the conventional Wald test. The Monte Carlo results indicate that the HCCM-type corrections can produce more accurate results for inference on model parameters and the impact effects estimates in small samples.     

Filtration enlargement-based time series forecast in view of insider trading

This survey reviews filtration enlargement models in view of insider trading. Although filtration enlargement aptly models insiders' informational advantage, the theoretical results have not attracted the attention of the empiricists, owing mainly to the lack of a bridge transforming the results to testable hypotheses, and/or the absence of econometrics method linking the hypotheses and the data. This survey provides a feasible avenue to estimate insider information and to detect trading from a relatively sophisticated theoretical model, where the dynamics of publicly available data (e.g., stock price) implies insider information before the information is completely digested. We complete the survey with an empirical illustration based on simulated data.     

SOCIALLY ENGAGED MUNICIPAL STATECRAFT IN URBAN CHINA? The Shenzhen Biennale as Situated Planning Experiment

In this article I build on scholarship that calls for attention to the interventionist role of the municipality in steering development beyond growth to introduce the situated planning experiment as a mechanism through which municipalities practice socially engaged statecraft. The situated planning experiment foregrounds place-based innovative planning practices that incorporate the participation of citizen intellectuals who act as advocates for marginalized groups in China. I frame the Shenzhen UrbanismArchitecture Biennale (UABB) as a situated planning experiment, tracing its influence on the municipality's shift in approach to planning for urban village redevelopment. I show how the UABB is leveraged as an instrument for the municipality to connect social and economic objectives in development and how it presents differentiated opportunities for migrant residents to make viable urban lives. The article offers one possibility for theorizing the changing relationship between municipal entrepreneurialism and urban planning and critically evaluates the potential for socially engaged municipal statecraft, considering the Xi regime's focus on people-oriented urbanization. It represents one way in which studies of municipal statecraft can consider the variegated logics and forms of emerging post-growth state programmes and politics.     

Potential improvements approach in composite indicators construction: The Multi-directional Benefit of the Doubt model

The aim of the present paper is to propose an innovative method to construct composite indicators, starting from an attractive frontier approach called Multi-directional Efficiency Analysis (MEA), and making it suitable to aggregate simple indicators. The main advantage of this method is the separation of the benchmark selection issue from that of efficiency measurement. The novel method, called Multi-directional Benefit of the Doubt, combines the MEA with the Benefit of the Doubt approach adding some valuable properties to the obtained composite indicator. The proposed method is tested on simulated data for illustrative purposes, and then, an empirical application on OECD ”Better life index” is provided. Results suggest that the method could be a good tool for local policy makers alongside the OECD BLI to investigate and improve some non-performing well-being dimensions.     

我国竞争行业生产效率的实证分析

本文对2000-2007年家具行业技术效率、全要素生产率以及生产率的变化进行了实证研究.研究表明:国有、联营、其它企业的市场竞争能力不强,港澳台、集体企业的竞争能力一般,私人、股份、外商企业的市场竞争能力比较强,生产率变化和企业数量具有正向关系,市场具有演化作用,它会淘汰不适应市场发展的企业类型,培养适应市场发展的企业类型.在此基础上,提出健全公平、自由、开放的市场体系,促进经济发展的建议.     

我国城市居民最低生活保障标准的影响因素与效应研究

近年来,我国各地城市居民最低生活保障标准不断提升.本文利用我国36个城市1998-2005年的面板数据,分析影响城市居民最低生活保障标准动态变迁的经济、政治和社会因素及其影响效应,结果显示:城市居民最低生活保障制度是最低生活保障而非基本生活保障;"低保"标准并未有效地缩小贫富差距;"低保"标准对贫困者就业意愿具有较弱的负效应.针对上述问题,笔者提出建议:对应经济社会的发展动态提高标准、施行分层梯度式"低保"标准以及建立互动支持系统,促进"低保"受益者就业.     

论述壁面剪应力在提高固井水泥浆顶替效率的研究

固井工程是一项应用工程,是建井过程中的重要环节,它直接影响钻井周期和建井成本,以及油田开发方案的实施。深井、超深井的井下地质条件非常复杂,对固井质量有许多不利的因素,在井下条件确定的情况下,决定性的因素是环空流动的壁面剪应力,它是影响顶替效率的主要因素。     

创新型城市的文化识别研究

所谓"创新型城市",意味着城市在发展中产生出区别于自身历史的新质和区别于一般城市的特质;创新型城市必须具备独有的文化识别体系。城市文化是创新型城市建设的最广泛的基础。创新型城市的文化识别是城市文化主体自觉追求和活动的客观结果,创新型城市需要明确定位、全面展开,才有可能逐步实现。