重庆市制造业的绿色经济增长核算：2001—2010

基于生产前沿理论的绿色经济增长核算模型,不仅将技术无效率和环境代价纳入了分析框架,而且还与“物质平衡思路”一致;该模型将绿色经济增长的源泉分解为环境约束下的技术进步、技术效率变化和资本深化3大部分.对重庆市27个制造行业的经验分析结论表明:经济增长中普遍存在着技术无效率现象,但50％以上行业的技术效率都得到了改善或维持不变;资本深化是经济增长的主要源泉,而技术进步主导的全要素生产率变动在其中的贡献相对较小;技术进步是引致全要素生产率增长的主要原因.为充分发挥重庆市制造业可持续发展潜力,后续发展中必须转变经济发展方式,在环境约束下走技术进步和技术效率改善的绿色全要素生产率增长之路.     

生产率与中国高技术企业出口相关性研究——基于异质企业贸易理论的视角

高技术产业出口近年来迅速增加,容易使人得出我国贸易结构升级,国际竞争力加强的结论。我国2008年近两万家高技术企业的微观数据分析表明企业出口与生产率呈现负相关关系,这一现象不符合异质企业贸易理论。研究发现企业性质、企业资本劳动比才是出口的主要影响因素。高技术产业中加工贸易企业的大量存在是造成其违反异质企业贸易理论的根本原因。     

产业转型升级阶段的制造业生产效率评价及影响因素——基于2003—2009年江苏省面板数据的分析

本文运用超效率DEA-Tobit模型对江苏省制造业三十个行业2003—2009年间的生产效率及影响因素进行了分析,研究发现：（1）2003—2009年江苏省制造行业整体技术水平偏低,虽然大部分行业处于规模递增的状态,但行业规模仍然偏小。同时,由于纯技术效率和规模效率的普遍不高,导致样本期内江苏省制造业技术效率水平偏低。（2）表象上行业市场结构强、资本劳动力投入要素比例大、外商直接投资额多,会对江苏省制造业行业生产效率的提升起到很大的作用,然而本文的实证结果表明,行业绩效与生产效率之间存在着显著的正相关关系,投入要素比例与生产效率的负相关性也较为显著,而行业结构和FDI与生产效率的显著性不强。     

Structural transformation in emerging economies: leading sectors and the balanced growth hypothesis

The paper uses the World Input-Output Database to address patterns of structural transformation in BRIC countries, Indonesia, South Korea, Mexico and Turkey. Sectoral drivers of aggregate labour productivity growth, and the relative importance of within-sector versus employment reallocation effects on aggregate labour productivity growth, are evaluated using growth accounting decomposition methods. Decomposition results are used to assess how patterns of structural transformation relate to macroeconomic performance in terms of aggregate labour productivity, output and employment growth. Together with the construction of ‘Hirschman compliance indices’, decomposition results are also used to shed light on the balanced versus unbalanced growth debates. The paper goes on to assess the extent of complementarities between manufacturing and information and communications technology-intensive advanced services through intermediate inputs, comparing the eight emerging countries with G7 countries over time.     

The public R&D and productivity growth in Australia's broadacre agriculture: is there a link?

This paper investigates the dynamic relationships between research and development (R&D) expenditure and productivity growth in Australian broadacre agriculture using aggregate time series data for the period 1953 to 2009. The results show a cointegrating relationship between R&D and productivity growth and a unidirectional causality from R&D to TFP (total factor productivity) growth in Australian broadacre agriculture. Using the dynamic properties of the model, data from beyond the sample period are analysed by employing the variance decomposition and the impulse response function. The findings reveal that R&D can be readily linked to the variation in productivity growth beyond the sample period. Furthermore, the forecasting results indicate that a significant out‐of‐sample relationship exists between public R&D and productivity in broadacre agriculture.     

Spatial determinants of productivity growth on agri‐food Spanish firms: a comparison between cooperatives and investor‐owned firms

This study analyses the effect of the spatial factor, location, and interaction effects among peer companies, on the productivity growth of agri‐food companies in Spain. With this aim, we build a productivity growth index and apply a multiequational Seemingly Unrelated Regression on a sample of 344 Spanish cooperatives and investor‐owned firms for the period 2010–2012. Our findings show that agri‐food firms are influenced by spatial factors finding interesting differences between cooperatives and investor‐owned firms. With regard to the geographical location, cooperatives in the western of Spain show higher productivity growth rates, whereas investor‐owned firms in the northeast of Spain present better results. The interaction effect among closer peer companies is also a relevant factor to determine the productivity growth in agri‐food companies. This factor is more relevant for cooperatives than for investor‐owned firms.     

Knowledge diffusion and agricultural development

Low agricultural productivity remains the primary source of poverty in the developing regions and yet little is known about the influence on agricultural productivity of domestic and international accumulated R&D knowledge and the channels through which this knowledge is transmitted internationally. Following a large scientific literature, this article argues that R&D and R&D knowledge spillover are ecozone‐specific and, therefore, are transmitted internationally through ecozones, where ecozones are the broadest biogeographic division of the earth's land surface. Using data for a panel of 88 countries, it is shown that international knowledge spillovers are ecozone‐specific and have been an important contributing factor behind the marked widening of the income gap between developed and developing countries since 1983.     

A Question of Integrity: Variants of Bt Cotton,Pesticides and Productivity in Pakistan

Bt cotton remains one of the most widely grown biotech crops among smallholder farmers in lower income countries, and numerous studies attest to its advantages. However, the effectiveness of Bt toxin, which depends on many technical constraints, is heterogeneous. In Pakistan, the diffusion of Bt cotton occurred despite a weak regulatory system and without seed quality control; whether or not many varieties sold as Bt are in fact Bt is also questionable. We utilise nationally representative sample data to test the effects of Bt cotton use on productivity. Unlike previous studies, we invoke several indicators of Bt identity: variety name, official approval status, farmer belief, laboratory tests of Bt presence in plant tissue, and biophysical assays measuring Bt effectiveness. Only farmer belief affects cotton productivity in the standard production model, which does not treat Bt appropriately as damage‐abating. In the damage control framework, all Bt indicators reduce damage from pests. Biophysical indicators have the largest effect and official approval has the weakest. Findings have implications for impact measurement. For policy‐makers, they suggest the need, on ethical and productivity grounds, to improve variety information and monitor variety integrity closer to point of sale.     

Welfare Effects of Technological Convergence in Processed Food Industries

We develop a monopolistic competition model to investigate effects of international technological convergence on factor rewards, output composition, and welfare. Comparative static analysis indicates technological convergence improves the follower's—but impairs the leader's—international competitiveness. The leader's welfare improves unambiguously; the follower's welfare depends on the relative strength of convergence's income and terms-of-trade effects. We use data from seventeen food industries in thirty countries, 1993–2001, to test these analytical predictions. Evidence of convergence is found in thirteen of seventeen industries. Convergence lifts followers' relative wages and global value-added shares. Followers benefit from convergence's positive income effect. Leaders benefit from higher terms of trade.     

Non‐Parametric Modelling of CO2 Emission Quota

Dutch glasshouse firms are facing the introduction of a system of tradable CO₂ emission quotas. This paper employs a non‐parametric method for modelling tradable CO₂ emissions of Dutch glasshouse firms. The method is capable of generating shifts in CO₂ emissions across the sample of firms. Moreover, changes in volumes of outputs produced and inputs used are computed. Results show that firms using a conventional heating technology will be net purchasers of CO₂ emissions, whereas firms using more advanced heating technologies will sell part of their emission quota.