Participation in export and Chinese firms’ capacity utilization

This paper first sets up a firm heterogeneity trade model and shows that given capital stock and productivity, export firms will have higher rates of capacity utilization. In addition, given capital stock and fixed export costs, firms with higher productivity are more likely to export. I then use the 2012 Chinese enterprise survey from the World Bank to empirically investigate the impact of participation in export on Chinese firms’ capacity utilization rate. The results show that on average, export firms have capacity utilization rate 1.55–2.01 percent higher than non-export firms, which amounts to 14.6–18.9 percent of the standard deviation of capacity utilization rate in the sample. I also find that firms with a larger part of shares owned by the government have lower capacity utilization. Stronger market competition leads to over-investment and therefore lower capacity utilization rate. Faced with more rigorous labor market regulation, firms will substitute capital for the use of labor, resulting in higher capacity utilization rate.     

Entry,trade costs,and international business cycles

Are firm entry and fixed exporting costs relevant for understanding the international transmission of business cycles? We revisit this question using a model that includes entry, selection to exporting activity, physical capital accumulation and endogenous labor supply. We determine that once the stochastic process for exogenous productivity is calibrated to consider the endogenous dynamics in TFP created by the number of firms and the time series volatility of entry is calibrated to the data, our model yields minimal departures from the Backus et al. (1992) benchmark. The richer model shares all of the successes of the previous model in terms of the volatilities of aggregate quantities, as well as its failures, in terms of replicating patterns of international co-movement and the volatility of international relative prices.     

An economic evaluation of market development programmes for US dairy products

‘This study measured the effectiveness of US dairy export promotion programmes on increasing foreign demand and enhancing producers’ revenues. An import demand equation based on panel data was used to test whether export promotion has a positive and significant impact on US dairy exports. The effects of various promotion scenarios on the dairy market were then simulated, and benefit–cost ratios (BCRs) for these programmes were estimated. There were three key findings. First, the combined effort of public and private dairy export promotion expenditures had a positive and statistically significant impact on demand for US dairy products in the world market. The findings indicated that export promotion stimulated total dairy exports by 4.14 billion pounds, on average, per year, which represented 55.8% of total exports. Second, US dairy export promotion has been highly profitable for the nation’s dairy farmers. The calculated BCRs, based on assumed elasticity of supply, ranged from a low of 8.54 for the most elastic assumption to a high of 30.12. Third, from an optimality standpoint, dairy farmers are underinvesting in export promotion. The marginal BCRs ranged from a low of 3.79 to a high of 15.22, which means that, at the margin, increasing export promotion expenditures would be profitable for dairy farmers.     

The Significance of CSF Among Enterprises in Latvia： An In-depth Analysis

The present research paper is dedicated to the in-depth analysis of the significance of critical-to-success factors （CSF） among enterprises in Latvia. The goal is to distinguish and find key success factors of Latvian companies who survived the economic crisis, which started in 2008, and executed the enabling objectives of the paper. Research methodology involves the analysis of the existing theoretical literature, in-depth interviews with the top management representatives of large Latvian business entities were interviewed by GFK （Custom Research Baltic agency） on behalf of the authors of the paper. It is found out that 10 largest industries for the big companies are： fuel retail and wholesale, energetics, food retail and wholesale, chemical products, logistics, metal processing, financial services, information technologies service and production, passenger transportation, and telecommunication services. For medium companies such industries are： food retail and wholesale, logistics, fuel retail and wholesale, wood processing, automotive industry, construction, financial services, pharmaceutical products, metal processing, and beverage wholesale and production. The authors also scrutinised 72 articles of 38 Forbes magazine archiving from the years 2010-2014. Thirty CSF were defmed. The most significant CSF according to the Forbes interviews are specific market niche, export, technological innovations, and high quality of products and services. The in-depth interviews with the top management representatives prove the importance of the above mentioned factors. Relevant recommendations are provided in the end of the paper.     

基于SWOT的广东家具出口现状与对策分析

广东省家具出口占全国出口的1/3强,已成为中国家具制造业最发达的地区、亚太地区最大的家具出口基地,但也存在附加值低,设计水平不高等劣势。本文在分析广东省家具出口现状的基础上,利用SWOT分析,分析了广东省家具出口的优势、劣势、机遇和威胁,进而提出扩大广东省家具出口的战略选择。     

中国对RCEP国家的直接投资与出口技术复杂度

RCEP的签订为中国对外开放带来新契机。双循环新发展格局背景下,如何调整中国对RCEP国家的贸易和投资策略成为值得研究的议题。使用2004—2018年中国对RCEP国家的直接投资和出口数据,构建出口技术复杂度指标,实证分析直接投资和出口技术复杂度的关系。结果发现:中国对RCEP国家的直接投资能够提升中国对东道国的出口产品技术水平,当东道国为中低收入国家时,这一作用更为显著。基于此,中国应优化对RCEP国家直接投资的布局和结构,完善中资企业海外投资和经营规制,扩大与RCEP国家在新基建领域的合作,实现对外直接投资与出口高质量发展。     

外部经济冲击对我国进出口贸易的影响——基于新兴市场经济体的研究

本文从贸易和金融渠道对我国受到其他新兴经济体的外部冲击的可能性进行了评估,并借助GVAR(Global Vector Auto-Regressive)模型方法,考虑了世界各国的交互影响来分析新兴市场国家的宏观经济波动对中国进出口产生的影响。研究发现,区域内的新兴经济市场对我国影响更为显著,韩国、印度、中国香港发生宏观经济波动时对我国进出口贸易可能造成较大的影响。基本上,中国对外贸易对韩国遭受冲击后的反应快且大,但受影响时间较短,人民币汇率波动在应对外部冲击时发挥了一定作用。中国和印度贸易合作关系大于竞争关系。     

中国农产品进出口与农业产业安全预警分析

农业产业安全是指农业的生存与发展不受到外来势力根本威胁的状态.本文采用农业产业安全评价指标体系与预警界限对农业产业安全进行预警分析,在预测中国农产品进出口额及粮食供需状况的基础上,对本世纪初中国农业产业安全度的情况进行了估算.     

Can China reduce the carbon emissions of its manufacturing exports by moving up the global value chain?

This study analyses whether embedding in the global value chain has an impact on the carbon emissions of China’s exports. We develop a carbon decomposition model and use panel data for 14 manufacturing industries in China from 1995 to 2009 to empirically analyse the impact of China’s exports on carbon emissions. Our results show that the GVC effect on China’s carbon emissions embodied in manufacturing exports outweighs the scale, composition and technique effects.     

中国对拉美国家出口贸易影响因素实证分析——基于总量与技术结构视角

本文首先通过计算中国对拉美七国四类制成品出口密集度等,分析中国对拉美地区制成品出口结构;通过考察中国和拉美七国生产要素结构变化情况对中拉要素禀赋差异作深入分析,以期探究中国对拉美制成品出口结构背后深层次原因。然后构建扩展引力模型分别从总量视角和技术结构视角探析中国对拉美货物出口主要影响因素,结果显示拉美国家国内生产总值、中拉要素禀赋差异、中国货币自由度、中国对拉美直接投资水平对中国向拉美出口总量均产生显著促进作用,各影响因素对不同技术类别制成品出口的作用效果存在差异性。为实现中国对拉美出口贸易结构优化升级,推动中国产业结构调整升级,促进拉美地区经济更快发展,研究有针对性地提出了对策建议。