高铁开通、要素禀赋与区域经济增长——以贵州省为例

基于2008-2018年贵州省9个地级市和自治州的面板数据,实证检验高铁开通对区域要素禀赋与经济增长的影响。结果表明:高铁开通在总体上促进了贵州省区域经济增长,提高了劳动力要素的相对丰裕程度。然而,高铁开通并未表现出技术溢出作用,反而降低了劳动力和资本要素的边际生产率,对要素禀赋结构优化和区域经济长期发展产生不利影响。基于此提出,应因地制宜科学规划高铁建设,推进科学技术创新,加强高素质人才培养与引进,优化营商环境,提升社会保障水平,以发挥高铁的扩散效应,降低聚集效应,进而改善要素禀赋结构,促进区域经济协调发展。     

国际贸易、技术进步和中国工业行业的生产率增长

内生增长理论认为技术进步是经济增长最为重要的助推力,推动技术进步的力量是对研发的投资和国际贸易的发展。随着经济贸易与信息技术的飞速发展,社会对国际贸易、技术进步的关注程度日渐提升。通过深入分析国际贸易与工业行业生产率之间的关系,可以有针对性地应用有效手段对国际贸易进行调整,使其可以继续带动技术的进步并促进工业行业生产率的提升。基于此,论文探究了我国国际贸易、技术进步与工业行业生产率增长的关系,阐述了国际贸易、技术进步对于工业行业生产率的真实影响。     

Distributional assumptions and a test of the dual labor market hypothesis

Recent application of the switching regression model to allocate workers into the primary and secondary labor markets is considered to be the best solution to the classification problem of the empirical testing of the dual labor market theory. In such models, normality of the error terms is assumed. This paper adopts the switching regression model to test the dual labor market theory by assuming different distributions of the error terms. The test results strongly support the dual labor market theory regardless of the assumption one makes about the error terms. However, the results indicate that different distribution can lead to different percentage distributions of workers in the two segments. In particular, the normal distribution generates more workers in the primary segment than the non-normal distributions. Therefore, care must be taken not to generalize the type of industries or occupations that fall under the primary and secondary segments. First version received: October 2000/Final version received: March 2002 RID="*" ID="*"  I would like to thank Kevin Lang, Robert Marshall, and two anonymous referees for their helpful comments. I am grateful for comments received from the session participants of the Western Economic Association International Conference, San Francisco, CA, June 28–July 2, 1996, and the Midwest Economic Association Conference, Kansas City, 1997. I thank George Bonney, the Chief Statistician of Fox Chase Cancer Center, Philadelphia for his comments. Any remaining errors are my responsibility. I gratefully acknowledge financial support from Penn State Research and Development Grant, 1995.     

Carbon Taxes and Joint Implementation. An Applied General Equilibrium Analysis for Germany and India

Germany has committed itself toreducing its carbon emissions by 25 percent in2005 as compared to 1990 emission levels. Toachieve this goal, the government has recentlylaunched an environmental tax reform whichentails a continuous increase in energy taxesin conjunction with a revenue-neutral cut innon-wage labor costs. This policy is supposedto yield a double dividend, reducing both, theproblem of global warming and high unemploymentrates. In addition to domestic actions,international treaties on climate protectionallow for the supplementary use of flexibleinstruments to exploit cheaper emissionreduction possibilities elsewhere. One concreteoption for Germany would be to enter jointimplementation (JI) with developing countriessuch as India where Germany pays emissionreduction abroad rather than meeting itsreduction target solely by domestic action. Inthis paper, we investigate whether anenvironmental tax reform cum JI providesemployment and overall efficiency gains ascompared to an environmental tax reformstand-alone. We address this question in theframework of a large-scale general equilibriummodel for Germany and India where Germany mayundertake JI with the Indian electricitysector. Our main finding is that JI offsetslargely the adverse effects of carbon emissionconstraints on the German economy. JIsignificantly lowers the level of carbon taxesand thus reduces the total costs of abatementas well as negative effects on labor demand. Inaddition, JI triggers direct investment demandfor energy efficient power plants produced inGermany. This provides positive employmenteffects and additional income for Germany. ForIndia, joint implementation equips itselectricity industry with scarce capital goodsleading to a more efficient power productionwith lower electricity prices for the economyand substantial welfare gains.     

The Productivity of US States since 1880

This study uses state-level variation in labor productivity levels at twenty-year intervals between 1880 and 1980 to examine the relative importance of institutional and geographical influences in explaining observed and persistent differences in standards of living over time and across regions. Focusing on fundamental rather than proximate influences, we find that both institutional characteristics and some physical geography characteristics account for a high proportion of the differences in state productivity levels: states with navigable waterways, a large minerals endowment, and no slaves in 1860, on average, had higher labor productivity levels throughout the sample period. However, we find little support for two other influences that have previously received attention—climate and latitude.     

Water accounting for the Orange River Basin: An economic perspective on managing a transboundary resource

The framework for water accounting is applied to an international river basin, the Orange River Basin, which is shared among Botswana, Namibia, Lesotho and South Africa. Each of the riparian states faces water constraints and relies increasingly on shared international water resources. The countries have adopted the principle of an economic approach to water management, once basin human needs are met, and all but Lesotho have constructed national water accounts to assist in water management. The water accounts for the Orange River Basin bring an economic perspective to water management at the regional level. The accounts include supply and use tables, which are used to compare the contribution to water supply from each riparian state to the amount used. The water accounts are then linked to economic data for each country to calculate water use and productivity by industry and country. There are considerable disparities in water productivity among the countries, which should be taken into account in future decisions about water allocation, pricing and infrastructure development.     

中国船舶工业绿色全要素生产率及影响因素分析——基于ML生产率视角对“波特假说”的再检验

选用船舶工业宏观数据和资源环境约束等作为基础数据,运用方向性距离函数和ML指数测算了中国船舶工业绿色全要素生产率(Total Factor Productivity),通过面板模型系统考察了环境规制、技术进步对中国船舶工业绿色全要素生产率的作用。发现从长远来看,绿色全要素生产率呈增长趋势且具有明显的收敛特征,技术进步和技术效率共同推动船舶工业绿色全要素生产率的增长,但整体上绿色全要素生产率低于传统全要素生产率。运用动态面板模型分析中国船舶工业绿色全要素生产率的影响因素,结论表明:较高的技术水平能显著提高绿色全要素生产率,而对国际市场的过度依赖阻碍了船舶工业绿色全要素生产率的增长。环境规制对船舶工业绿色全要素的增长已经带来"补偿效应"从而提高了中国船舶工业的国际竞争力,为考察船舶工业绿色竞争力提供了新的视角。     

Building the Knowledge Stock: Lags,Depreciation, and Uncertainty in R&D Investment and Link with Productivity Growth

The search for an appropriate methodology to investigate the relation between R&D investment, knowledge stock and productivity growth is the main purpose of the paper. In analogy with physical assets, we present a model of knowledge capital formation which allows the calculation of the relevant user cost, as well. The proposed model accumulates R&D investment based on a stochastic gestation lag and a geometric depreciation of the stock. The basic parameters underlying the lag structure differ according to the types of research expenditure. The approach is applied to public R&D investment in Italian agriculture; the results provide interesting information about the economic structure of public research effort in Italian agriculture and plausible estimates of its internal rate of return.     

Government Consumption and Industrial Productivity: Scale and Compositional Effects

Within a production function framework in which government spending produces public goods which enter firms production functions, empirical tests using time series data spanning eleven countries and thirty industries find both the scale and the composition of government consumption spending to affect the level and the rate of growth of total factor productivity at the industry level.Jel Classification: H50, D24     

Age-specific dynamic labor demand and human capital investment

To study the optimal age-specific labor demand and human capital investment at the firm level we extend the standard dynamic labor demand model by introducing ‘age’ as a second dynamic variable and distinguish between two types of workers: ‘low skilled’ and ‘high skilled’. Applying an age-structured optimal control model we derive qualitative features of the optimal age-specific hiring and training effort. For the case of a linear revenue and production function we prove that firms do not anticipate changes in adjustment costs in their optimal decisions. This result no longer holds if a nonlinear revenue or production function is considered.