Using a Delphi approach to identify the most efficacious interventions to improve Indonesia’s forest and land governance

Improvements to forest and land governance are key to addressing deforestation and degradation of peatlands in Indonesia. While this is a priority area, the steps to achieving good forest and land governance have been under-researched. There is a need for better links between theoretically informed academic analysis and work in the field. This study drew together a panel of experts on forest and land governance using a Delphi method to discuss the underlying drivers of deforestation and peatland degradation, and correspondingly, to identify interventions to improve land and forest governance in Indonesia. Seventeen panelists with an average of more than 12 years’ experience reached agreement over four governance interventions: increasing the capacity of local communities to manage and monitor forests and natural resources (65% of panelist’s votes); identify strengths and weaknesses of community organisations and institutions, and develop strategies to improve their performance (65% of panelist’s votes); gazetting forests to clarify land boundaries and determine which areas should be village, community and state forest zone (59% of panelist’s votes); and, integrating participatory community maps into spatial plans to protect local communities and indigenous peoples’ development needs (53% of panelist’s votes). They also supported action research involving the government, private sector and communities, and political economy approaches to researching forest and land governance issues. Panelists indicated that community level approaches such as securing community forest tenure through clarifying land claims and integrating local land tenure into spatial planning had an important role in sustainable forest management.     

Measuring the effectiveness of US monetary policy during the COVID-19 recession

The COVID-19 recession that started in March 2020 led to an unprecedented decline in economic activity across the globe. To fight this recession, policy makers in central banks engaged in expansionary monetary policy. This paper asks whether the measures adopted by the US Federal Reserve (Fed) have been effective in boosting real activity and calming financial markets. To measure these effects at high frequencies, we propose a novel mixed frequency vector autoregressive (MF-VAR) model. This model allows us to combine weekly and monthly information within a unified framework. Our model combines a set of macroeconomic aggregates such as industrial production, unemployment rates, and inflation with high-frequency information from financial markets such as stock prices, interest rate spreads, and weekly information on the Fed's balance sheet size. The latter set of high-frequency time series is used to dynamically interpolate the monthly time series to obtain weekly macroeconomic measures. We use this setup to simulate counterfactuals in absence of monetary stimulus. The results show that the monetary expansion caused higher output growth and stock market returns, more favorable long-term financing conditions and a depreciation of the US dollar compared with a no-policy benchmark scenario.     

Intergenerational Earnings Inequality: New Evidence From Italy

Using an innovative dataset built by merging survey and administrative data, we provide new estimates of intergenerational earnings’ inequality between fathers and sons in Italy, extending previous evidence in several directions. We rely on the TSTSLS method to predict fathers’ earnings and compute intergenerational elasticities and imputed rank–rank slopes, trying to reduce estimation biases. Confirming previous evidence, we find that Italy is characterized by a high intergenerational inequality in cross-country comparison. Extending previous analyses, we show that the intergenerational association increases when sons at older ages and multi-annual averages of pseudo-fathers’ and sons’ earnings are considered. We also find that the intergenerational persistence differs across geographical macro-areas and is high also for daughters, especially when family earnings are considered. Furthermore, estimates where possible mediating factors of the parental influence are included among the covariates show that a high intergenerational association persists when sons’ education and occupation are controlled for.     

Application of evidential reasoning approach and OWA operator weights in road safety evaluation considering the best and worst practice frontiers

Data envelopment analysis (DEA) has recently become relatively popular with road safety experts. Therefore, various decision-making units (DMUs), such as EU countries, have been assessed in terms of road safety performance (RSP). However, the DEA has been criticized because it evaluates DMUs based only on the concept of self-assessment, and, therefore does not provide a unique ranking for DMUs. Therefore, cross efficiency method (CEM) was developed to overcome this shortcoming. Peer-evaluations in addition to self-evaluation have made the CEM to be recognized as an effective method for ranking DMUs. The traditional CEM is based only on the standard CCR (Charnes, Cooper and Rhodes) model, and it evaluates DMUs according to their position relative to the best practice frontier while neglecting the worst practice frontier. However, the DMUs can also be assessed based on their position relative to the worst practice frontier. In this regard, the present study aims to provide a double-frontier CEM for assessing RSP by taking into account the best and worst frontiers simultaneously. For this purpose, the cross efficiency and cross anti-efficiency matrices are generated.Even though a weighted average method (WAM) is most frequently used for cross efficiency aggregation, the decision maker's (DM) preference structure may not be reflected. For this reason, the present study mainly focuses on the evidential reasoning approach (ERA), as a nonlinear aggregation method, rather than the linear WAM. Equal weights are often used for cross efficiency aggregation; consequently, the effect of the DM's subjective judgments in obtaining the overall efficiency is ignored. In this respect, the minimax entropy approach (MEA) and the maximum disparity approach (MMDA) are applied for determining the ordered weighted averaging (OWA) operator weights for cross efficiency aggregation. The weighted cross efficiencies and cross anti-efficiencies are then aggregated using the ERA. Finally, the proposed method, called DF-CEM-ERA, is used to evaluate the RSP of EU countries as well as Serbian police departments (PDs).     

丝绸之路河西走廊物流业效率演化分析

构建了分析河西走廊物流业效率演化的指标体系,基于2009-2017年河西走廊物流业统计数据,运用DEA-Malmquist指数法测算了各市物流业效率和技术进步率,采用Tobit回归模型分析了该地区物流业效率的影响因素,并从省内、省域间、各经济区域间三个方面进行了对比分析。实证分析表明,相较于全国各省市地区,河西走廊物流业整体水平较低,物流业效率和技术进步率的强正相关性普遍存在,其物流业发展对政策偏向具有较强的依赖性;同时,技术进步率低下和基础设施匮乏也是制约物流业发展的重要因素。基于此,从政策照顾与资金投入、科技进步与管理水平和市场运营与体系建设三个方面,为河西走廊物流业发展提出了建议与改善措施。     

敦煌种业财务绩效评价研究

选择以农业上市公司敦煌种业为研究对象,以企业2014—2019年的报表数据为基础,采用功效系数法并以国务院国资委所编写的《企业绩效评价标准值》中国有企业绩效评价体系作为参考,构建对农业企业的财务指标评价体系,对敦煌种业2014-2019年企业财务指标的表现进行纵向分析,选择同行业中营业收入水平较高的北大荒进行横向对比,通过对比发现敦煌种业的问题主要体现在盈利能力和资产质量方面,对此提出了改进措施及建议。     

针对车辆AEB系统失效和误作用场景的研究

本文基于预期功能安全,采用功能分解方法,总结出部分车辆自动紧急制动(AEB)系统失效和误作用场景,并从中选取典型场景作为测试场景,开展不同车型的实车道路试验,总结出AEB系统的缺陷与隐患分类。希望此类研究能为AEB系统失效和误作用测试标准的制定提供参考。     

基于数字图像处理技术的再生混凝土数值模拟

为了研究骨料形态对再生混凝土材料力学性能的影响,基于势能原理的基面力元法,利用图像处理技术和MATLAB软件,建立了再生混凝土真实骨料细观模型。应用FORTRAN分析软件对再生混凝土试件进行单轴拉伸试验的数值模拟,研究了真实骨料细观模型再生混凝土宏观应力-应变曲线变化规律和试件的破坏形态。结果显示,真实骨料模型得到的宏观应力-应变曲线和试验曲线吻合度较高,骨料形状对试件的破坏形态影响较小。模型可真实地模拟再生混凝土在单轴拉伸作用下的损伤破坏过程,准确地反映试件的实际骨料形态。     

基于农业发展方式转变的江苏省农业产业升级发展研究

[目的]从定量方面对江苏省农业发展方式转变对农业产业升级贡献结果进行研究,以准确把握江苏省农业发展方式转变进程。[方法]构建基于农业发展方式转变的江苏省农业产业升级评价指标体系,以2007—2016年江苏省10年的年度数据为研究对象,采用熵值法计算各年度每个指标权重以及各准则层和农业发展方式转变综合得分值。[结果](1) 2007—2016年江苏省农业产业方式转变取得了一定成效,处于良好的发展势头;(2) 2012和2014年江苏省基于农业发展方式转变的农业产业升级增长最快,2016年出现大幅下跌,导致该下跌的原因是同时期农业集约型效益的大幅下降;(3)集约型升级和高效型升级对基于农业发展方式转变的江苏省农业产业升级带动作用最大;结构合理型升级发展滞后。[结论]江苏省基于农业发展方式转变的农业产业升级还处于不断探索阶段,加速农业产业结构升级对于江苏省加快转变农业发展方式尤为重要。     

浅谈铁路建设项目资格预审申请文件、商务标编写方法及建议

2014年以来,铁路固定资产投资每年基本稳定在8000亿元左右,对施工企业而言,要抓住当前的有利机会,争取更多的施工任务。结合当前铁路建设项目资格预审及招标的特点,简要介绍资格预审申请文件、商务标的编写方法,提出相关建议,以期为从业人员提供借鉴。