Counting the cost: the reserve price scheme for wool 1970‐2001

This paper provides a policy commentary on the collapse in 1991 of the Australian Reserve Price Scheme for wool. A key cause of the collapse in the Scheme was a change in the RPS's governance arrangements, which led to increased political pressures to raise prices to unsustainable levels. In addition, in this paper an estimation has been made of the direct, upfront costs of the operation of the scheme, drawing on the financial accounts of the various agencies operating the RPS and subsequent wool stockpile. This was undertaken to determine the scale of the policy failure.     

Was It Possible to Stabilise the Price of Wool? Organised Wool Marketing 1916 to 1970

Wool is the only Australian commodity for which there has been an attempt to organise price stability through a buffer stock scheme (1970–91). Growers pressed for the introduction of a scheme since the early 1920s. We test the veracity of claims that the sale of the stockpiles optimised growers' returns. We also simulate the likely outcomes of the reserve price schemes (RPS) proposed in 1925 and 1952, respectively. Our findings are that post-war stockpile disposals did not optimise wool growers' incomes, the undercapitalised proposed RPS of the 1920s would have collapsed in the depression, and that the post-1952 RPS would have been in considerable difficulty.     

Why does the peso-dollar exchange rate show a depreciation trend? The role of productivity differentials

Over the last three decades, Mexico's macroeconomic policy has been driven by a sound orthodox strategy: an open economy via many trade agreements signed since the mid-1980s, a nominal exchange rate under a flexible regime since 1994, central bank autonomy, and responsible fiscal policy, among other benchmarks. Nevertheless, the exchange rate has continued on a path of depreciation against the US dollar. In this paper, we show that although an equilibrium relationship exists between the exchange rate and prices in Mexico and the US (its main commercial partner), there are other forces affecting the former. The main factor in this relentless long-term depreciation is the loss of productivity in Mexico relative to the US. In addition, we show that the extraordinary liquidity supplied by the US during the 2008 crisis caused the Mexican peso to appreciate against the dollar.     

Interventions in Markets with Adverse Selection: Implications for Discount Window Stigma

I study the implications for central bank discount window stigma of a workhorse model of adverse selection in financial markets. In the model, firms (banks) need to borrow to finance a productive project. There is limited liability and firms have private information about their ability to repay their debts, which gives rise to the possibility of adverse selection. The central bank can ameliorate the impact of adverse selection by lending to firms. Discount window borrowing is observable and it may be taken as a signal of firms' credit worthiness. Under some conditions, firms borrowing from the discount window may pay higher interest rates to borrow in the market, a phenomenon often associated with the presence of stigma. I discuss these and other outcomes in detail and what they suggest about the relevance of stigma as an empirical phenomenon.     

时空大数据支持的土地储备智能决策体系与应用研究

研究目的:设计土地储备智能决策体系,将土地储备决策环节进行科学化、定量化和模型化,为政府合理开展土地储备提供决策依据。研究方法:遵循科学性、实用性、先进性、开放性原则,以数据为驱动,人工智能为核心,通过基于Hadoop/Spark的大数据处理技术、多源异构数据融合技术、智能决策模型集对多源时空大数据挖掘分析。研究结果:提出了土地储备智能决策体系,研究了一套面向土地储备的决策方法集,实现对现状条件的精准刻画,对土地储备规模、结构、时序等内容的科学决策;在此基础上,研发了智能决策支持平台,将数据资源共享、现状条件评估、智能决策专题等功能集成,构建土地储备智能决策"一张图",并实现平台的自我学习和更新。研究结论:应用于宁波市实例验证,该体系有效地促进了土地储备科学智慧决策,对优化土地资源配置具有参考意义。     

自然保护区生态旅游发展对贫困农户生产经营能力的影响研究

基于云南省轿子山国家级自然保护区的调查数据,从3个维度构建农户生产经营能力指标体系,运用熵值法及多元线性回归模型研究保护区生态旅游发展对贫困农户生产经营能力的影响。结果表明:轿子山国家级自然保护区样本贫困农户生产经营能力总体处于中等水平,且呈现出区域差异性;社区社会保障缺乏和政府帮扶政策措施滞后是造成农户生产经营能力不足的主要原因;在控制“农户家庭基本特征”类别下的4个变量中,保护区开展生态旅游效果的主客观认知是影响贫困农户生产经营能力的一个重要因素,贫困农户参与保护区生态旅游相关工作正向显著影响农户生产经营能力,并对保护区生态旅游扶贫效果起到中介效应。因此,提出政府相关部门应合理规划,构建全域化生态旅游发展体系;增强基层治理水平,提供就业创业培训路径;转变观念,提升自我脱贫可持续能力等建议。     

山东省耕地后备资源变化及驱动因素分析

[目的]揭示耕地后备资源变化规律及其驱动因素是进行耕地后备资源合理保护、开发利用的重要基础,但目前对于耕地后备资源变化及驱动因素的研究较为匮乏。[方法]文章以山东省为例,基于2003年和2015年两期耕地后备资源数据库,在分析耕地后备资源时空变化的基础上,采用空间回归模型分析了其变化的驱动因素。[结果]2003~2015年期间,山东省集中连片耕地后备资源减少了30.81万hm~2,其中可开垦土地减少24.97万hm~2,可复垦土地减少5.84万hm~2。[结论]总人口、文盲率、农民人均纯收入、建设用地扩张速度、第一产业产值占总产值比重等是山东省耕地后备资源变化的显著性驱动因素,并且总人口和建设用地扩张的驱动作用最大,受教育程度和产业结构调整的作用次之,农民人均纯收入变化对耕地后备资源变化的影响最小。"宏观统筹协调,异地代补"是解决"耕地后备资源空间分布不均衡、供需不匹配",实现耕地占补平衡、高效合理的开发利用耕地后备资源的必经之路。但异地代补的数量比例和质量应严格控制,并注重对补充耕地地区的经济补偿和政策倾斜,逐步缩小与发达地区之间的差距。     

Forecasting China's foreign exchange reserves using dynamic model averaging: The roles of macroeconomic fundamentals,financial stress and economic uncertainty

We develop models for examining possible predictors of growth of China's foreign exchange reserves that embrace Chinese and global trade, financial and risk (uncertainty) factors. Specifically, by comparing with other alternative models, we show that the dynamic model averaging (DMA) and dynamic model selection (DMS) models outperform not only linear models (such as random walk, recursive OLS-AR(1) models, recursive OLS with all predictive variables models) but also the Bayesian model averaging (BMA) model for examining possible predictors of growth of those reserves. The DMS is the best overall across all forecast horizons. While some predictors matter more than others over the forecast horizons, there are few that stand the test of time. The US–China interest rate differential has a superior predictive power among the 13 predictors considered, followed by the nominal effective exchange rate and the interest rate spread for most of the forecast horizons. The relative predictive prowess of the oil and copper prices alternates, depending on the commodity cycles. Policy implications are also provided.     

关于欧元在未来国际储备中地位的探讨

依托欧洲雄厚的经济实力，欧元的诞生有力推动了国际储备货币多元化发展，但作为形成日寸间不长的超主权货币，欧元也面临着需不断改革自身财政金融基础运行框架的要求。文章回顾了欧元在国际储备货币中份额的变化，探讨了影响欧元国际储备货币地位的积极因素和不利因素，并对欧元储备货币地位的前景进行了展望。     

大型装备制造业企业关键设备备件预警策略

近些年,国内一些大型装备制造企业为提高国际竞争力,从国外引进不少先进设备,但当这些设备发生故障需要更换备件却不能得到满足时,给企业造成了不同程度的损失。文章应用设备失效模式与后果分析(MFMEA)方法制定关键设备备件预警策略,有效降低关键设备停机风险及其所造成的损失。