Dynamics of capital account and current account in Sri Lanka

This paper enquires the dynamics of current account and capital account in Sri Lanka for the period 2001:Q1 to 2016:Q1 and also examines the role of some policy variables such as exchange rate and interest rate in this dynamics. Estimated autoregressive distributed lag (ARDL) bound testing approach to cointegration followed by error correction representation of the ARDL model have found that current account is caused by capital account and exchange rate, where capital account causes to produce a deficit in current account. In the dynamic adjustment of current account due to exchange rate, an evidence of J-curve phenomenon is noticed. Capital account is neither caused by current account nor by exchange rate but interest rate has a positive impact on it. Robustness of these findings is testified by the vector autoregression model, Wald test of Granger causality followed by an impulse response analysis and a variance decomposition analysis. These analyses, in addition, establish a negative impact of interest rate on current account. With the best of knowledge this is the first study that reveals the dynamics of current and capital account of Sri Lanka. Such a dynamics is critical from the policy perspective. Policy makers should caution before capital account liberalization.     

乌鲁木齐市建设用地对经济增长的贡献及Logistic曲线极限点估计研究

[目的]为提高乌鲁木齐市各生产要素的利用效率,明确经济发展模式,同时也为促进土地资源节约集约利用提供科学依据。[方法]基于C-D生产函数,以2005—2015年乌鲁木齐市统计数据为样本,借助EViews6.0和SPSS20.0软件测算出建设用地对经济增长的贡献率以及Logistic曲线极限点。[结果](1)资本投入要素对经济增长的贡献率(56.72%)最大,建设用地投入要素贡献(32.81%)次之,然后是劳动力投入要素贡献(13.25%),技术进步投入要素贡献(-2.78%)最小,但拥有很大的挖掘空间;(2)建设用地对经济增长的Logistic曲线极限点位于第二、三产业产值为1 522亿元处,对应2011年产值,2005—2011年建设用地对经济增长的贡献呈递增趋势,2011年之后贡献速度呈递减趋势,逐渐趋于平缓。[结论]建设用地对经济增长的驱动作用是有限的,只有通过技术创新才能实现经济发展模式由"依资本型"向"技术驱动型"转变。     

基于经济新常态的长春市水资源开发利用潜力评价

以长春市为研究对象,基于未来经济处于新常态的发展态势,构建包含水资源、社会、经济、生态环境4个子系统的评价指标体系,并确定各指标的评价等级标准;基于模糊数学理论以及层次分析法构建包括目标层、准则层、指标层的3层模糊综合评价模型,以2015年为现状水平年,应用模型对长春市水资源开发利用潜力进行综合评价。结果表明:长春市水资源开发利用程度处于中等偏上水平,各辖区水资源开发利用规模不平衡,可通过产业结构调整提高全市用水效率,为经济持续增长提供保障。     

The Impact of Political Competition on Economic Growth: Evidence from Municipalities in South Africa

This paper examines the impact of political competition on economic growth. In this paper, I show that internal political dynamics, distinct from the type of political system, can having different effects on growth. Using results from the 1994 and 1999 elections in South Africa, I show that municipalities with higher levels of political competition have shown lower levels of economic growth. I use individual level surveys to show that this political competition is associated with political paralysis, dissatisfaction with the current democracy and government and lower optimism about the future.     

稻鳅共生种养模式试验研究

[目的]稻鳅共生是典型的稻田综合利用模式,符合生态农业发展方向。通过对稻鳅共生生态系统的生理生态学机制开展试验研究,为进一步推广稻鳅共生种养模式提供科学依据。[方法]采用田间试验方法,以水稻单作为对照,研究了不同泥鳅养殖密度下的稻鳅共生对水稻农艺性状、土壤理化性质、水稻产量构成的影响,并对稻鳅共生种养模式进行了经济效益分析。[结果]与对照处理相比,水稻长势在株高、有效分蘖率、根长等方面有一定提高。养殖田水稻株高增高了3%,有效分蘖率提高了8%~11%,根长提高了8.8%~31.3%。在土壤理化性质方面,与对照相比,土壤容重降低了7.1%~21.2%,孔隙度增加了4.1%~14.7%。实验前后养殖田内土壤有机质增加了3.5%~26.5%,对照田降低了2.5%~5.8%。土壤肥力(氮、磷、钾)减少,但减少幅度小于对照处理。稻鳅共生种养模式下水稻产量提高了5%~25%,同时稻田增收泥鳅1 725~3 375kg/hm2,净收入为1.836 0万~2.307 0万元/hm2,经济效益提高了3.65~4.84倍。稻鳅共生种养模式中泥鳅的养殖密度为30万尾/hm2时稻田的生态效益和经济效益最佳。[结论]稻鳅共生有效改善了土壤理化性质,促进了水稻的生长,提高了稻田产量和产值。     

On the rebound: estimating direct rebound effects for Australian households

Reducing dependence on fossil fuels by decreasing energy consumption is a common environmental policy. One mechanism used to achieve this is to encourage increased energy efficiency. However, improving efficiency may have an opposing effect and cause an increase in energy consumption if the intensity of use changes. This phenomenon is known as the rebound effect. We estimate direct rebound effects for energy use in Australia based on both aggregate residential energy use data and on household energy expenditure data. Our approach implements a new methodology developed by Hunt and Ryan (2014, Catching on the rebound: Why price elasticities are generally inappropriate measures of rebound effects. Surrey Energy Economics Discussion Paper Series SEEDS 148; 2015, Energy Economics 50, 273) that explicitly relates energy service use with energy source demand and directly incorporates measures of efficiency changes. The results indicate that the rebound effect is relatively high for energy use by Australian households. Due to the unique nature of our household data set, we can examine the influence of demographic and housing characteristics. We find that low‐income households and households with vulnerable members have the largest rebound effects. The relatively large rebound effects found here suggest that consumers gain from efficiency by improved energy services, and thus, policy targeting energy efficiency is not likely to be successful at reducing energy consumption.     

通胀目标制与汇率目标制不能共存吗

基于汇率传递的风险溢价渠道，本文将我国利率调控通胀、外汇储备对冲干预汇率纳入新凯恩斯政策模型，构建双目标双工具政策分析框架，比较泰勒规则与双目标双工具规则下通胀目标与汇率目标共存的经济机制与效应。本文模拟显示：（1）双目标双工具政策框架下通胀目标与汇率目标能够共存，此时通过影响汇率风险溢价来盯住汇率不影响通胀；而单工具政策下两目标无法共存，此时降低国内资产的收益率盯住汇率会刺激居民的消费行为引起通胀。（2）国际资本冲击下，双目标双工具政策在固定汇率的同时能保证经济稳定；而当贸易条件恶化时，选择完全浮动汇率制度最优。央行政策损失分析进一步验证了以上结论。（3）随着金融市场化改革深入，外汇储备稳定汇率的有效性将下降，冲销成本会大幅提升。资本账户开放下，双目标双工具政策仍是央行抵御外部资本冲击的首选政策；但是汇率市场化后，通胀目标制与双目标双工具政策效果基本无差异。本文结论的启示是：面对国际资本，需必要的汇率管制；但是面对贸易冲击，可适度提升汇率弹性来减少冲击对产出和通胀的影响。     

海南省旅游业发展对经济增长的拉动效应研究

[目的]海南当前处于国际旅游岛建设和全面建成小康社会的关键时期,旅游业作为海南省的主导产业对海南经济发展的支撑作用显著增强,在此形势下,分析旅游业发展对海南经济增长的拉动效应,有利于为进一步提升旅游业对海南区域经济发展的影响,促进区域经济发展和经济结构转型,提出科学可行的对策和建议。[方法]文章从时间和空间两个维度,运用旅游业依存度、贡献率和拉动率3个指标,以旅游收入与地区生产总值等统计指标为基础,探讨了海南省旅游业对经济增长的拉动效应。[结果]从时间维度来看,海南省旅游业对地区经济增长的拉动作用进一步加大;从空间维度来看,海南省旅游业的拉动效应并不突出;从市(县)域维度来看,海南省各市(县)旅游业对经济增长拉动效应存在空间差异,东部地区拉动效应持续增长,中部地区增长势头迅猛,北部地区增长缓慢。[结论]不断完善海南旅游基础设施与管理体系;要不断细分和规范旅游产品,提升旅游产品的吸引力和复购率,完善营销及咨询服务体系;注意与其他产业的协调发展,加强与周边省份的交流与合作,省内要因地制宜,挖掘各地旅游业发展特色,推动各市(县)均衡发展,以进一步加强海南省旅游支柱产业的作用,并快速实现区域经济跨越式发展。     

Inflation,real economic growth and unemployment expectations: an empirical analysis based on the ECB survey of professional forecasters

Expectations are at the centre of modern macroeconomic theory and policymakers. In this article, we examine the predictive ability and the consistency properties of macroeconomic expectations using data of the European Central Bank (ECB) Survey of Professional Forecasters (SPF). In particular, we provide evidence on the properties of forecasts for three key macroeconomic variables: the inflation rate, the growth rate of real gross domestic product and the unemployment rate.