Employment and education discrimination against disabled people in Cape Verde

This article assesses the employment and school enrolment gaps between disabled and nondisabled persons using the last Cape Verdean census. The unexplained part of these gaps accounts for most of them, whatever the age group considered. Furthermore, differences in age structures between disabled and nondisabled persons have almost no effect on these gaps. Taking into account potential misclassification errors in the disability variable seems to change only marginally these results. These findings thus suggest that there is scope for programs to better target and promote employment and education of the disabled in Cape Verde.     

Chinese foreign direct investment in Australia: policy issues for the resource sector 1

The past 18 months have seen Chinese foreign direct investment (FDI) in the Australian resource sector become an issue of policy interest. There are two big questions that the prospects of a significant rise in FDI from China into the Australian resources sector have raised. Is the surge of FDI into Australian mining and energy consistent with achieving the traditional gains from foreign investment? And are there any particular problems associated with investment from foreign state-owned enterprises or state-managed sovereign wealth funds? These are among the questions addressed in this paper. The paper argues that there are no issues that cannot be dealt with under the umbrella of the established test of ‘national interest’ in managing the growth of Chinese FDI into the Australian minerals sector. It argues that a confusion has been introduced into policy over the questions of state ownership and supplier–buyer relations in respect of Chinese investments and that clarifying these issues is likely to be important to Australia's capturing the full benefits from the growth of Chinese resources demand and longer term economic and strategic interests in China.     

A systems approach to policy analysis and development planning: Construction sector in the Turkish 5-year development plans

In this study, we propose a new model for systems analysis ‘of’ policy and systems analysis ‘for’ policy with the example of construction sector in the Turkish 5-year development plans.Our proposed model—integrated development management model (IDMM)—is conceptually based on the principles of systems thinking and integrated management approach.We present and discuss the results of our work in which we extracted all construction-related policies and strategies from eight 5-year development plans and analyzed them using the IDMM. In the light of the analyses, we give several answers to the question: “Why did the development plans fail to meet their targets in Turkey?” We propose that any development plan has to have claritas–unitas–integritas–consonantia between the management levels (normative, strategic, and operational) and components (goals, structures, and behavior) of IDMM.The paper is the first work that brings the concepts of development planning and foresight together. In a complementary stance, the time of integrating foresight and development planning has come.     

Farming system modelling for agri-environmental policy design: The case of a spatially non-aggregated allocation of conservation measures

This paper addresses the issue of designing policies for habitat conservation on agricultural land. The case under study requires a non-aggregated spatial distribution of the fields to be enrolled in an agri-environmental programme. A spatially explicit mathematical programming farm-based model, which accounts for three spatial levels (field, farm and landscape), is coupled with a relevant spatial pattern index (the Ripley L-function) to analyse the design and implementation of an agri-environmental programme aimed to preserve the Tetrax tetrax in the Plaine de Niort, France. The model is run using a stylised map with heterogeneous soil types and both crop growing and mixed dairy farms. Results show that valuable insights into agri-environmental programme design are gained through a detailed representation of farming system management. The suitable, non-aggregated spatial pattern for T. tetrax conservation is more costly than less-suitable, more aggregated patterns, because it tends to require equal participation of all farms. The policy simulations reveal that the various spatial patterns can be obtained through relatively simple uniform contract structures. An effective contract structure entails a set of two degressive payments which encourages all farms to enrol at least a small share of their land in the program.     

Estimating a monetary policy reaction function for the dominican republic

Abstract

The paper specifies and estimates a hybrid McCallum–Taylor monetary policy reaction function for the Dominican Republic (DR). The estimated reactions suggest that the Central Bank of the DR has been biased towards targeting the exchange rate. These findings are in line with the evidence on the fear-of-floating characteristic of developing countries. An evaluation of the estimated rule's historical performance shows that monetary base growth below (above) that implied by the ‘average’ policy reaction is associated with better (worse) macroeconomic performance.     

A systems approach to policy analysis and development planning: Construction sector in the Turkish 5-year development plans

In this study, we propose a new model for systems analysis ‘of’ policy and systems analysis ‘for’ policy with the example of construction sector in the Turkish 5-year development plans.Our proposed model—integrated development management model (IDMM)—is conceptually based on the principles of systems thinking and integrated management approach.We present and discuss the results of our work in which we extracted all construction-related policies and strategies from eight 5-year development plans and analyzed them using the IDMM. In the light of the analyses, we give several answers to the question: “Why did the development plans fail to meet their targets in Turkey?” We propose that any development plan has to have claritas-unitas-integritas-consonantia between the management levels (normative, strategic, and operational) and components (goals, structures, and behavior) of IDMM.The paper is the first work that brings the concepts of development planning and foresight together. In a complementary stance, the time of integrating foresight and development planning has come.     

Exploring a theoretical framework to structure the public policy implications of open innovation

Open innovation is increasingly popular among practitioners and scholars, but its implications for public policy making have not yet been analysed in detail. This paper explores a theoretical framework to structure the debate about public policy making that facilitates open innovation. We first define open innovation in terms of firms’ open innovation practices and external conditions that encourage enterprises to practice open innovation. We show that policies for open innovation are legitimate as traditional arguments like market and system failures continue to apply. Next, we identify several guidelines for policymaking. Rather than just offering R&D and interaction-oriented policies, we conclude that open innovation warrants attention in a broader range of policy areas, including entrepreneurship, education, science, labour markets and competition. Developing truly horizontal policies is a major challenge to facilitate open innovation in developed economies.     

The internalization of externalities in the production of electricity: Willingness to pay for the attributes of a policy for renewable energy

This paper investigates the willingness to pay of a sample of residents of Bath, England, for a hypothetical program that promotes the production of renewable energy. Using choice experiments, we assess the preferences of respondents for a policy for the promotion of renewable energy that: (i) contributes to the internalization of the external costs caused by fossil fuel technologies; (ii) affects the short-term security of energy supply; (iii) has an impact on the employment in the energy sector; and (iv) leads to an increase in the electricity bill. Responses to the choice questions show that our respondents are in favour of a policy for renewable energy and that they attach a high value to a policy that brings private and public benefits in terms of climate change and energy security benefits. Our results therefore suggest that consumers are willing to pay a higher price for electricity in order to internalize the external costs in terms of energy security, climate change and air pollution caused by the production of electricity.     

A Kaleckian model for understanding and responding to the economic policy challenges of remittances

In this work we construct a Kaleckian model for analyzing the impacts of remittances upon economies of receiving countries. The arrival of remittances has two harmful effects: contraction of income, and the so-called Dutch Disease (DD). We use our model to formulate an economic policy with two objective variables and two instrumental variables, to solve or attenuate these problems.     

A policy response to a downside of the integration of economies: An impossibility theorem

Recent research shows that the merger of economies increases aggregate stress. This paper shows that there is no income distribution policy which will ensure that the wellbeing of the individuals belonging to merging economies does not fall below their pre-merger level.     

Monetary policy reactions and the exchange rate: a regime-switching structural VAR for Canada

The objective of this study is to identify monetary policy reactions in a nonlinear, structural vector autoregression (VAR) framework, with regime-switching contemporaneous policy responses in a small open economy. The key finding is that monetary policy in Canada responds contemporaneously to disturbances in the real exchange rate, as well as the output gap and inflation. The Bank of Canada is found to have much larger responses to exchange rate fluctuations during volatile periods than more stable periods. However, the Bank is found statistically to have a relatively linear reaction function with symmetric responses to output and inflation shocks across interest rate regimes. The estimates for the contemporaneous responses to the output gap in both regimes are found to be virtually identical to the 0.5 weights in the original Taylor rule for the United States, while the responses to inflation surprises are slightly smaller. Overall, the Bank of Canada is found to have operated within the range of optimal responses suggested by small-scale structural models in the normative literature on monetary policy rules.     

Understanding the intellectual structure and evolution of Competitive Intelligence: a bibliometric analysis from 1984 to 2017

ABSTRACT

Competitive Intelligence (CI) is a relatively novel discipline that is generating a growing interest in the field of strategic management. Its novelty, approach and origin have meant that the definition of the CI entails different interpretations and utilities depending on the audience. This research develops a conceptual analysis of CI in literature by quantifying the bibliometric performance indicators, identifying the main authors, countries, journals and research areas and evaluating the intellectual structure and evolution of the discipline using SciMAT as bibliometric analysis software. The bibliometric performance analysis is focused on the citation-based impact of the scientific output, while the science mapping illustrates the evolution of the research themes that build the discipline through the use of bibliometric network analysis techniques. To this purpose, the publications related to CI from 1984 to 2017 available at Scopus have been retrieved (5,275 publications). Finally, it offers a framework to support future researches.     

Cost-benefit analysis of alien vegetation clearing for water yield and tourism in a mountain catchment in the Western Cape of South Africa

Economic analysis is used to assess the costs and benefits of restoration following clearing of invasive alien trees in the floristically rich Fynbos mountainous area near Franschhoek, Western Cape of South Africa. The Groot Drakenstein, Franschhoek and Jonkershoek mountains receives more rainfall than the surrounding areas and is an important source of water for the city of Cape Town. The costs of alien invasive plant removal, gully-erosion repair and reseeding with indigenous plants are considered in a case-study cost-benefit analysis of restoration, in terms of the water and tourism benefits derived. Three different options of restoration (comprehensive, moderate, basic) were analysed under three different economic scenarios (optimistic, realistic, pessimistic) and the costs of which have been weighted up against the income derived from the supply of water and tourism. The results have shown that despite the high costs of restoration, the basic restoration option costs were out-weighed by the water and tourism benefits derived. This was also true of the moderate restoration option, when evaluated under the optimistic scenario and using an 8% discount rate, or a 3% discount rate under any scenario. However, this was not the case in the moderate restoration option when using an 8% discount rate in conjunction with the realistic and pessimistic scenarios. Neither was it the case when using a 12% discount rate, irrespective of the scenario. Under no scenario was the cost of a comprehensive restoration option outweighed by the benefits quantified, irrespective of the discount rate used. It was concluded that further restoration, in addition to the mere clearing of alien invasive plants, would be economically viable under certain assumptions and conditions.     

Modeling a policy making framework for urban sustainability: Incorporating system dynamics into the Ecological Footprint

The Ecological Footprint (EF) is a powerful tool to advance the science of sustainability. However, the static snapshot of EF accounting is not designed to make projections of future sustainability consequences, which fails to elicit policy implications from a dynamic, temporally explicit perspective. This work attempts to incorporate system dynamics (SD) into EF to develop a dynamic EF forecasting framework, and provide a platform to support policy making for urban sustainability improvement. SD is firstly adopted to model the dynamics and interactions of EF driving forces, and then incorporated into the EF framework by correlating system drivers to EF-related consumption categories, embodied EF is finally calculated using the compound-based method. Based on different policy feasibility and sustainability targets, four policy scenarios are designed to explore future sustainability prospects and formulate integrated policies which would attain that sustainability scenario. The modeling procedure is applied to a case study area to illustrate how it works, and policy making for urban sustainability can hopefully be supported using this developed framework in the near future.     

Bidding for the unemployed: An application of mechanism design to welfare-to-work programs

This paper applies the theory of mechanism design to welfare-to-work programs. When procuring welfare-to-work projects to employment service providers, governments face the problems of adverse selection (the winning provider is not the most efficient one) and moral hazard (the winning provider shirks in its responsibility to reintegrate unemployed people). We compare the constant-reward second-price auction with the socially optimal mechanism and show that the auction generates social welfare that is close to the optimal mechanism, while requiring less information and weaker commitment.     

Identifying and evaluating robust adaptive policy responses to climate change for water management agencies in the American west

Climate change presents a significant planning challenge for water management agencies in the western United States. Changing precipitation and temperature patterns will disrupt their supply and extensive distribution systems over the coming decades, but the precise timing and extent of these impacts remain deeply uncertain, complicating decisions on needed investments in infrastructure and other system improvements. Adaptive strategies represent an obvious solution in principle, but are often difficult to develop and implement in practice. This paper describes work helping the Inland Empire Utilities Agency (IEUA) explicitly develop adaptive policies to respond to climate change and integrating these policies into the organizations' long-range planning processes. The analysis employs Robust Decision Making (RDM), a quantitative decision- analytic approach for supporting decisions under conditions of deep uncertainty. RDM studies use simulation models to assess the performance of agency plans over thousands of plausible futures, use statistical “scenario discovery” algorithms to concisely summarize those futures where the plans fail to perform adequately, and use these resulting scenarios to help decisionmakers understand the vulnerabilities of their plans and assess the options for ameliorating these vulnerabilities. This paper demonstrates the particular value of RDM in helping decisionmakers to design and evaluate adaptive strategies. For IEUA, the RDM analysis suggests the agency's current plan could perform poorly and lead to high shortage and water provisioning costs under conditions of: (1) large declines in precipitation, (2) larger-than-expected impacts of climate change on the availability of imported supplies, and (3) reductions in percolation of precipitation into the region's groundwater basin. Including adaptivity in the current plan eliminates 72% of the high-cost outcomes. Accelerating efforts in expanding the size of one of the agency's groundwater banking programs and implementing its recycling program, while monitoring the region's supply and demand balance and making additional investments in efficiency and storm-water capture if shortages are projected provides one promising robust adaptive strategy — it eliminates more than 80% of the initially-identified high-cost outcomes.     

基于VHDL利用PS/2键盘控制的密码锁设计

介绍了一种基于FPGA芯片的电子密码锁设计方法,阐述了系统各模块的功能,给出了关键的VHDL程序。系统利用了标准PS/2键盘作为输入设备,取代了普通的矩阵式键盘,展示了FPGA在嵌入式系统设计中的优越性。     

Understanding the effects on HR-QoL of treatment for overactive bladder: a detailed analysis of EQ-5D clinical trial data for mirabegron

Abstract

Background:

Analysis of EQ-5D data often focuses on changes in utility, ignoring valuable information from other parts of the instrument. The objective was to explore how the utility index, EQ-5D profile, and EQ-VAS captured change in clinical trials of mirabegron, a new treatment for overactive bladder (OAB).

Data:

Data were pooled from three phase III clinical trials that investigated the efficacy and safety of mirabegron vs placebo. Tolterodine ER 4?mg was included as an active control in one study: (1) placebo, mirabegron 50?mg and 100?mg, and tolterodine 4?mg ER; (2) placebo, mirabegron 50?mg and 100?mg; (3) placebo, and mirabegron 25?mg and 50?mg. Data were collected at baseline, week 4, 8, and 12.

Methods:

Analyses were performed on full analysis and modified intention to treat (ITT) data sets using UK utilities. Analysis controlled for relevant patient characteristics. Analysis of Covariance identified changes from baseline at each time point in utilities and EQ-VAS. Areas Under the Curve were estimated to summarize inter-temporal differences in effect. EQ-5D profile data were analysed using the Paretian Classification of Health Change.

Results:

In modified ITT analyses, mirabegron 50?mg was superior to tolterodine 4?mg in changes from baseline utilities after 12 weeks (p?<?0.05); similarly, AUC results showed mirabegron 50?mg to be superior to tolterodine (p?<?0.05) and placebo (p?<?0.05) with the benefit already apparent at 4 weeks (p?<?0.05). EQ-VAS more consistently indicated superior outcomes: all three mirabegron doses showed statistically significant greater effectiveness compared to tolterodine at 12 weeks. Individual EQ-5D dimensions and the overall profile showed no significant differences between study arms.

Conclusion:

Mirabegron showed quicker and superior improvement in HR-QoL compared to tolterodine 4?mg ER. A limitation of the study is that EQ-5D was a secondary outcome in the pivotal trials, which were not powered to measure differences on EQ-5D.     

Too big to fail — Lessons for today and the future from British industrial policy, 1960–1990

British industrial policy for two sectors (automotive and aerospace manufacture) in the period the 1960–1990 is considered and compared with the challenges facing the United Kingdom following the financial crisis of 2008. The history of the period 1960–1990 is informed by interviews with well-placed policy-makers of the time. These observations complement the historical record to confirm that British industrial policy was then more often a pragmatic response to events than the consequence of political ideology. Four particular phases of policy are observed: consolidation, investment, nationalisation and privatisation. During the decade 2000–2009 several British companies in banking, transport and energy have been subject to similar state interventions. In 2010 these companies are at various stages on the four step journey considered by the paper. The paper provides four lessons from the past for twenty-first century policy makers tasked with taking forward the companies with state investment and ensuring a return to economic prosperity.     

Use of a validated algorithm to estimate the annual cost of effective biologic treatment for rheumatoid arthritis

Objectives:

To estimate biologic cost per effectively treated patient with rheumatoid arthritis (RA) using a claims-based algorithm for effectiveness.

Methods:

Patients with RA aged 18–63 years in the IMS PharMetrics Plus database were categorized as effectively treated if they met all six criteria: (1) a medication possession ratio ≥80% (subcutaneous) or at least as many infusions as specified in US labeling (intravenous); (2) no biologic dose increase; (3) no biologic switch; (4) no new non-biologic disease-modifying anti-rheumatic drug; (5) no new or increased oral glucocorticoid; and (6) ≤1 glucocorticoid injection. Biologic cost per effectively treated patient was defined as total cost of the index biologic (drug plus intravenous administration) divided by the number of patients categorized by the algorithm as effectively treated. Similar methods were used for the index biologic in the second year and for a second biologic after a switch.

Results:

Rates that the index biologic was categorized as effective in the first year were 31.0% etanercept (2243/7247), 28.6% adalimumab (1426/4991), 28.6% abatacept (332/1160), 27.2% golimumab (71/261), and 20.2% infliximab (474/2352). Mean biologic cost per effectively treated patient, per the algorithm, was $50,141 etanercept, $53,386 golimumab, $56,942 adalimumab, $73,516 abatacept, and $114,089 infliximab. Biologic cost per effectively treated patient, using this algorithm, was lower for patients who continued the index biologic in the second year and higher after switching.

Conclusions:

When a claims-based algorithm was applied to a large commercial claims database, etanercept was categorized as the most effective and had the lowest estimated 1-year biologic cost per effectively treated patient. This proxy for effectiveness from claims databases was validated against a clinical effectiveness scale, but analyses of the second year or the year after a biologic switch were not included in the validation. Costs of other medications were not included in cost calculations.