Sequential Malmquist Indices of Productivity Growth: An Application to OECD Industrial Activities

The paper applies both the standard DEA methodology with contemporaneous frontiers and DEA with sequential frontiers to study changes in productivity and efficiency in manufacturing for a sample of eleven OECD countries over a twenty-year period. It uses a decomposition of the industrial Malmquist productivity indices to locate the sources of productivity growth: 'technical progress' and 'catching up.' The alternative indices are interrelated in a unifying framework that provides an interpretation to their difference. We argue that for manufacturing industries, in which technological regress is unlikely to occur, DEA with sequential frontiers provides a more adequate measure for the contribution of technical changes than standard DEA.     

经济增长质量的模糊综合评价模型研究

以经济增长质量为研究对象,试图对经济增长质量进行定量分析。在对经济增长质量进行定性分析的基础上建立了经济增长质量指标体系,运用模糊数学理论和层次分析法建立经济增长质量的多层次模糊评价模型,并利用该模型对我国的经济增长质量进行了实证分析。经实证分析表明:采用多层次模糊评判理论进行经济增长质量综合评价是合理、可行的。     

增长机会与资本结构——对我国生物制药行业上市公司的实证研究

本文从公司战略及外部资本市场环境出发,对我国生物制药行业上市公司的增长机会与资本结构的相关性进行了实证研究,结果发现该行业上市公司增长机会与其债务水平呈显著负相关。     

Land use externalities, open space preservation, and urban sprawl

Parcel data on residential land conversion are used to investigate how land use externalities influence the rate of development and modify policies designed to manage urban growth and preserve open space. Several “smart growth” policies are found to significantly influence land conversion, including a development clustering policy that concentrates development and generates preserved open space. In addition to directly affecting a parcel's hazard rate of conversion, this policy is found to affect neighboring parcels' conversion by generating a positive open space externality that hastens their development. The implication that the clustering policy could generate a more sprawled pattern of development is explored using spatial simulation.     

Sources of Sectoral Growth in an Economy Wide Context: The Case of U.S. Agriculture

Growth in U.S. agriculture is linked to the non-farm economy through domestic terms of trade and factor market adjustments. With almost stable input growth, the relatively large contributions from growth in Total Factor Productivity (TFP) are passed on to intermediate and final consumers in the form of declining real prices for primary farm products. The resulting net growth in the real value of farm output (GDP) is relatively low (0.25% per annum). The decomposition of TFP suggests that public agricultural stock of knowledge and infrastructure are robustly associated with TFP growth, while spill-overs from private agricultural and economy wide research and development (R and D) are positive but, relatively small.     

Factor taxation and labor supply in a dynamic one-sector growth model

This paper studies a class of AK-type growth models with factor income taxes, public capital stock and labor–leisure trade offs. While a higher capital tax rate reduces economic growth in the short run, the long-term growth effect is ambiguous and remains ambiguous even if the level of tax rate is larger than the degree of government externality. A higher labor income tax rate has ambiguous growth effects both in the short and long runs. However, if the intertemporal elasticity of substitution for labor supply is sufficiently small, a higher labor tax rate always lowers economic growth in the long run, despite the existence of productive government taxation.     

多主体投资对经济增长贡献的回归分析

在市场经济条件下,多种资本的联合、重组和流动是促进经济发展的重要手段之一。本文根据道格拉斯生产函数、以改革开放近20年来的国有投资、集体投资和个体投资数据为样本构造了多主体投资生产函数,并进行多主体投资对经济增长的回归分析。     

Pseudo empirical likelihood method in the presence of missing data

In this paper, we propose an estimator for the population mean when some observations on the study and auxiliary variables are missing from the sample. The proposed estimator is valid for any unequal probability sampling design, and is based upon the pseudo empirical likelihood method. The proposed estimator is compared with other estimators in a simulation study.     

地方政府双重目标管理与环境污染 ——基于中国城市数据的经验研究

基于2003—2018年中国283个地级市的面板数据,探讨地方政府双重目标管理对环境污染的影响机制.研究发现:经济增长目标压力会加剧环境污染,但是经济增长目标压力对环境污染的加剧作用会随着环境约束目标的引入而减弱,即双重目标管理会抑制环境污染.影响机制分析显示,经济增长目标压力会通过阻碍产业结构升级、抑制技术创新和加剧工业用地价格扭曲而加剧环境污染,环境约束目标的引入会通过推动产业结构升级、促进技术创新和抑制工业用地价格扭曲而削弱经济增长目标压力对环境污染的加剧作用.区域异质性分析显示,在中西部以及欠发达城市,经济增长目标压力对环境污染的加剧作用更大,在东部以及发达城市,这种加剧作用较小.在东部以及发达城市,环境约束目标的引入可以削弱经济增长目标压力对环境污染的加剧作用,在中西部以及欠发达城市,这种调节效应不显著.     

市场调查中的不完全事后分层估计量

在使用多个分类变量对样本进行交叉事后分层时，经常面临边缘总值已知、格子总值未知的不完全事后分层问题。针对这一情况，给出两种估计量即搜索比率估计量和广义搜索比率估计量。