Miracle-dz/UniFAR-FTUs huggingface dataset:
Competitiveness and Growth of the Mexican Economy

We address the role that deep, structural factors may have as determinants of Mexico’s economic growth. We argue that Mexico’s poor growth performance appears to be associated not only with shorter-run events such as the "lost decade" of the eighties, but also with supply-side features of the economy that have been present for at least four decades. Mexico’s low competitiveness and poor growth potential seem to reflect an institutional framework that tends to support rigid, non-competitive market structures, and incentives that promote the allocation of resources towards unproductive rent-seeking activities relatively more than into investment, production, productivity, and adoption of superior technologies. We present examples of input markets where we believe these issues are central. We conclude that solving this situation requires microeconomic policies that lead to fundamental changes in the incentive structure of the economy.
Macroeconomic impact of natural disasters on a small island economy: evidence from a CGE model

Natural disasters are common in the Pacific Island countries. Fiji has been affected by many of these disasters. The most recent cyclone exerted substantial damage to infrastructure, agricultural and industrial activity in Fiji. The aim of this article is to incorporate these damages into Fiji's computable general equilibrium model and examine the short-run macroeconomic impact. Among the key results, it is found that cyclones negatively impact private income, consumption, savings, real GDP and real national welfare.
The New ‘Passive Revolution’ of the Green Economy and Growth Discourse: Maintaining the ‘Sustainable Development’ of Neoliberal Capitalism

This paper analyses the rapidly emerging discourse of a green economy based on green growth. It highlights inherent conflicts and contradictions of this discourse such as the myth of decoupling growth from the environment, pollution generations and resource consumption. Using key theoretical constructs of both Gramsci and Polanyi, the paper argues that the green economy/growth discourse can be seen as a Gramscian ‘passive revolution’ whereby the dominant sustainable development discourse, subsumed by capitalist hegemony, is protected in the context of global environmental, economic and development crises. The ‘neoliberalising of nature’, or in other words, the privatisation, marketisation and commodification of nature, akin to Polanyi's fictitious commodities, continues and intensifies with green economy/growth strategies. Greening the economy and associated strategies of green growth divert attention from the social and political dimensions of sustainability and issues of social and international justice. In this way, the inexorable march or ‘sustainable development’ of neoliberal capitalism is maintained. This paper goes on to argue that contesting the claims of green economy/growth discourse through political struggles by civil society against the neoliberalisation of nature is a sign of a slowly emerging counter-hegemonic ‘double movement’ which challenges capitalist hegemony and the commodification of society–nature relations.
The Effect of Monetary Unification on German Bond Markets

We develop a benchmark against which the effects of ECB monetary policy on the German bond market can be evaluated. We first estimate an affine term structure model for the pre-EMU period linking the German yield curve with the Bundesbank monetary policy. The German monetary policy and its implied yield curve are then reprojected onto the EMU period. The reprojected yield curve differs significantly from the observed one. Short-term interest rates during the EMU period are significantly lower than they would have been in case the Bundesbank were still in charge of monetary policy. Furthermore, yield spreads increased substantially during the EMU period.
Size and Foreign Ownership Effects on Productivity and Efficiency: An Analysis of Turkish Motor Vehicle and Parts Plants

The levels and interactions of foreign connections and size may be important determinants of plant productivity and efficiency, particularly in a developing country such as Turkey. We explore the productive contributions of foreign ownership (FDI), emphasizing its linkages with plant size and input composition, for plants in the Turkish motor vehicle and parts industry. We evaluate the implications of FDI for overall productivity, input-specific contributions, and returns to scale, using OLS, stochastic production frontier, and quantile (size-specific) regression estimates of a translog production function model. We find significantly higher productivity of plants with foreign ownership, driven by a higher marginal product of labor, particularly for smaller plants. This effect augments the productive contributions of technical progress, capital intensity, and increasing returns to scale. FDI is also associated with a greater productive contribution of imported capital investment.
Empirical of the Taiwan stock index option price forecasting model – applied artificial neural network

This work presents a novel neural network model for forecasting option prices using past volatilities and other options market factors. Out of different approaches to estimating volatility in the option pricing model, this study uses backpropagation neural network to forecast prices for Taiwanese stock index options. The ability to develop accurate forecasts of grey prediction volatility enables practitioners to establish an appropriate hedging strategy at in-the-money option.
On System-Dependent Sources of Uncertainty and Bias in Ultrasonic Quantitative Shear-Wave Imaging

Ultrasonic quantitative shear-wave imaging methods have been developed over the last decade to estimate tissue elasticity by measuring the speed of propagating shear waves following acoustic radiation force excitation. This work discusses eight sources of uncertainty and bias arising from ultrasound system-dependent parameters in ultrasound shear-wave speed (SWS) measurements. Each of the eight sources of error is discussed in the context of a linear, isotropic, elastic, homogeneous medium, combining previously reported analyses with Field II simulations, full-wave 2-D acoustic propagation simulations, and experimental studies. Errors arising from both spatial and temporal sources lead to errors in SWS measurements. Arrival time estimation noise, speckle bias, hardware fluctuations, and phase aberration cause uncertainties (variance) in SWS measurements, while pulse repetition frequency (PRF) and beamforming errors, as well as coupling medium sound speed mismatch, cause biases in SWS measurements (accuracy errors). Calibration of the sources of bias is an important step in the development of shear-wave imaging systems. In a well-calibrated system, where the sources of bias are minimized, and averaging over a region of interest (ROI) is employed to reduce the sources of uncertainty, an SWS error <; 3% can be expected.
Factor Proportions and Comparative Advantage in the Long Run: Comment

Findlay (1970) examined the effects of growth on comparative advantage in an open three-sector growth model in which only the consumption goods were traded. He simplified his analysis considerably by assuming factor prices to be completely determined by the world prices of traded goods. It is the purpose of this note to show that this assumption is both more powerful and more restrictive than Findlay seems to have realized. In Section I we demonstrate the power of the assumption by showing that if all of its implications are realized, then certain results that Findlay thought ambiguous are actually determinate. Then, in Section II, we argue that the assumption is restrictive, because it requires that both traded goods be produced. Since such incomplete specialization will not occur for all parameter values, we describe the effect of dropping the assumption on the behavior of Findlay's model and on his results.
Does Knowledge about Climate Change Predict 
Concern? 
Concern for Climate Change and the Knowledge-Deficit Theory

The knowledge-deficit theory suggests that if people are not concerned about climate change, it is because there is a deficit in their knowledge of climate change—they do not properly comprehend the scientific consensus. So do people with higher levels of knowledge about climate change feel more concerned than those with lower knowledge levels? Existing research has been inconclusive but suggests differences between perceived and actual knowledge. This thesis comprises two studies. Study 1 tests the effect of perceived knowledge on concern for climate change with a nationally representative, randomly selected sample of 269 New Zealanders. Study 2 tests the effect of actual knowledge about climate change on concern with a sample of 452 New Zealanders recruited via snowball sampling. Results supported the knowledge-deficit theory for concern for climate change, but only when actual knowledge was tested. Participants in both Study 1 and Study 2 with high perceived knowledge did not have correspondingly high levels of concern, but Study 2 participants with high actual knowledge of climate change did also have high levels of concern. Other variables tested that consistently predicted high concern for climate change were perceived efficacy (the perception that one's actions will influence group outcomes) and environmental values. Demographic variables were not strong or consistent predictors of concern, but overall, younger female participants tended to display higher levels of concern than older male participants.
Trait stacking in transgenic crops: Challenges and opportunities

In recent years, there has been a rapid increase in the planting of transgenic crops with stacked traits. Most of these products have been formed by conventional breeding, i.e. the crossing of transgenic plant (event) containing individual transgenes with other event(s) containing single or double transgenic traits. Many biotech companies are developing stacked trait products with increasing numbers of insect and herbicide tolerance genes for controlling a broad range of insect pests and weeds. There has also been an increase in development of technologies for molecular stacking of multiple traits in a single transgene locus. In this review we look at the status of stacked trait products, crop trait stacking technologies and the technical challenges we are facing. We also review recent progress in developing technology for assembling large transgene arrays in vitro (molecular stacks), their delivery to crop plants and issues they pose for transgene expression.
RESISTANCE PATTERN OF CLINICAL ISOLATES OF STAPHYLOCOCCUS AUREUS AGAINST FIVE GROUPS OF ANTIBIOTICS

Among the samples received in pathology laboratory, Pakistan Institute of Medical Sciences, Islamabad, 5069 samples had bacterial growth, among these 2580 (51%) samples were Gram-positive cocci and 1688 were Staphylococcus aureus during a period of two years. Out of these Gram-positive cocci 56% were resistant to penicillin group, 27% were resistant to cephalosporin group, 22% were resistant to aminoglycoside group, 15% were resistant to quinolone group and 31% were resistant to other antibiotics (cotrimaxazole, erythromycin, aztreonam, vancomycin, nitrofurantoin and meropenam). Antibiograms of Gram-positive cocci were determined against various antibiotics by disc diffusion method. The rate of resistance to most of the antibiotics such as ampicillin, piperacillin, carbenicillin, penicillin, cephradine, cefotaxime, oxacillin, ceftriazone, amikacin, ceclor, ofloxacin, pefloxacin, ciprofloxacin, cotrimexazole (septran), gentamicin, meropenem, ceftazidime, erythromycin, tobramycin, enoxacin was higher when tested against the isolates collected from pus as compared to those from blood and urine. Antibiotic resistant strains were more prevalent in pus samples than the other clinical isolates (blood and urine). The randomly selected 155 strains of Staphylococcus aureus when tested against five groups of antibiotics showed resistance rate against ampicillin (92%), cephradine (60%), and gentamicin (58%). However intermediate resistance was found in case of vancomicin (38%), in hospitalized and non-hospitalized patients.
Clinical validation of movement disorder society–recommended diagnostic criteria for Parkinson's disease with dementia

The objective of this work was to evaluate the Movement Disorders Society (MDS) Task Force–proposed screening checklist for detecting Parkinson's disease dementia (PD‐D) in relation to full neuropsychological testing. An MDS Task Force has proposed diagnostic procedures for PD‐D, which have not been fully validated against more extensive neuropsychological testing. PD subjects were recruited from 2 specialty centers. A neuropsychologist evaluated them for dementia as part of routine clinical care. Independent clinical neurologists administered the MDS PD‐D screening checklist. Diagnosis of PD‐D by the 2 methods was compared. Ninety‐one PD subjects had a mean age of 66.3 (SD = 9.7) years and a mean PD duration of 8.8 (SD = 6.1) years. Seven subjects (7.7%) met all 8 screening checklist criteria from the MDS PD‐D screening tool and were classified as probable PD‐D. Fifteen (16.5%) subjects were classified as PD‐D by full neuropsychological assessment. The screening checklist showed 100% specificity, but only 46.7% sensitivity, for diagnosing PD‐D compared to the full neuropsychological assessment. PD‐D cases missed by the PD‐D screening tool were largely due to 2 checklist items that were not endorsed (absence of depression and Mini‐Mental State Examination [MMSE] scores <26). There was moderate agreement between these 2 methods for determination of PD‐D (kappa = 0.59, P < .001). The MDS‐PD‐D screening checklist is highly accurate for detecting PD‐D if all items are endorsed. However, for cases that do not meet these criteria, full neuropsychological testing is needed to differentiate PD‐D from milder cognitive impairment. Revision of the checklist by altering or eliminating the 2 problematic checklist items may improve sensitivity. © 2011 Movement Disorder Society
Evolution of endocrine adjuvant therapy for early breast cancer

Endocrine treatment plays a pivotal role in the adjuvant therapy of patients harbouring oestrogen and/or progesterone receptor positive breast cancer. The objective of this paper is to critically review endocrine treatment options in early breast cancer focusing on ongoing development. Literature was collected through the ISI Web of Science and PubMed in January/February 2009 with subsequent update by December 2009, using the words breast cancer, endocrine therapy, oestrogen receptor and aromatase. Endocrine therapy improves outcome in early breast cancer. Yet several controversies remain. There has recently been a lack of general consensus regarding the limit of oestrogen receptor positivity. As for adjuvant therapy in general and use of aromatase inhibitors in particular, we need the results from ongoing studies to decide what may be the optimal duration of therapy and regimen (sequential treatment versus monotherapy; one drug compared with another). Further, there is a need to critically assess optimal use of endocrine therapy for metastatic disease among patients previously exposed to endocrine regimens in the adjuvant setting. While in general the mechanisms of resistance to endocrine therapy among ER positive tumours remains unknown, merging evidence suggest a role of different growth factor pathways, in particular HER-2 activation. Thus, particular attention is paid to the topic of HER-2 expression as a potential cause of endocrine resistance.
Decisions, Actions, and Performance: Do Novice, Serial, and Portfolio Entrepreneurs Differ?*

A conceptual framework is extended to take into account differences between inexperienced novice entrepreneurs (that is, individuals with no prior private business ownership experience) and experienced serial and portfolio entrepreneurs. Some policymakers and practitioners are considering whether resources could be more effectively utilized if they were targeted toward serial and portfolio entrepreneurs, rather than in the form of additional initiatives to increase the pool of “pure” nascent entrepreneurs and novice entrepreneurs. To inform this policy debate, similarities and differences between novice, serial, and portfolio entrepreneurs are highlighted with regard to their decisions, actions, performance, and aspirations. We detected that portfolio entrepreneurs were more likely to express dimensions of entrepreneurial behavior. A case for targeted support tailored to the aspirations and needs of novice, serial, and portfolio entrepreneurs is presented.
Optimal Public Debt with Life Cycle Motives

This paper determines optimal public debt in a life cycle model with incomplete markets that matches the empirically observed variation in consumption, labor, and savings. We find that public savings—not public debt—equal to 168 percent of output is optimal, primarily due to the influence of the life cycle on household decision-making. By inducing a lower interest rate, public savings slow consumption and leisure growth over an average household’s lifetime, and the resulting flatter allocation of lifetime consumption and leisure improves welfare. These life cycle welfare benefits are large—on net, they outweigh the transitional costs from a tax-financed public debt elimination. (JEL D15, D52, E21, E43, E62, G51, H63)
REDD+ readiness process in Cameroon: an analysis of multi-stakeholder perspectives

Cameroon has been a keen participant in Reducing Emissions from Deforestation and Forest Degradation plus conservation, sustainable management of forests and enhancement of carbon stocks (REDD+) negotiations since 2005 and has engaged in activities to enhance the implementation of REDD+. This article reviews progress on REDD+ readiness in Cameroon based on a multiple REDD+ functions framework. Results show that some progress has been made in terms of planning and coordination, institutional development, and the development of some REDD+ projects. Absence of a legal framework, inadequate procedures for stakeholder participation, slow progress in the development of a national strategy, monitoring, reporting, and verification (MRV) challenges, and weak financing remain prominent constraints. Despite having one of the slowest REDD Readiness Preparation Proposal (R-PP) processes in the Congo Basin, stakeholders feel strong ownership because the R-PP was done almost entirely by Cameroonian experts. Some opportunities for improving REDD+ can be considered going forward, including the establishment of procedures for a broader participatory process, speeding up the operationalization of the National Observatory on Climate Change, making use of the ongoing forestry law reform, consideration of a carbon concessions concept, tapping from international initiatives to build on MRV, and improving benefit sharing and financing through the development of an appropriate and decentralized mechanism. Enhancing these opportunities is fundamental for successful REDD+ implementation in Cameroon. Policy relevance This article offers a new multidimensional approach to assessing the REDD+ readiness process in Cameroon. This critical assessment, which is done using six key functions, provides an opportunity for enhanced understanding of the process by policy makers, decision makers, and professionals with a view to enabling improvements in the readiness process. Furthermore, the article proffers a series of opportunities that the government and other relevant stakeholders can capitalize on to overcome current hurdles affecting the REDD+ readiness process. It is hoped that policy makers driving the REDD+ process in Cameroon will be able to incorporate the findings of this research into their strategic policy, formulated to advance the REDD+ readiness process. More importantly, it is hoped that the multidimensional framework applied in this study could be useful for assessing REDD+ in similar contexts in the Congo Basin.
Bookbuilding vs. Fixed Price: An Analysis of Competing Strategies for Marketing IPOs

Abstract We compare two mechanisms for selling IPOs, the fixed price method and American book-building, when investors have correlated information and can observe each other's subscription decisions. In this environment, the fixed price method is a strategy that can create cascading demand. Alternatively, an underwriter building a book aggregates investor information into the offer price. We find that bookbuilding generates higher expected proceeds but exposes the issuer to greater uncertainty, and that it provides the option to sell additional shares that are not underpriced on the margin.
A Fiscal Framework for Analysis of Interest Rate Behavior in Open Economies

This paper derives a reduced-form expression for an interestrate in an open economy by incorporating after tax covered interest parity conditions into a simple neo-classical macro model. The result clearly demonstrates that the relationship between an interest rate and variables used to explain it is conditional on income tax rates at home and abroad and presence or absence of capital gains tax treatment of foreign exchange gains or losses. Effects of non-indexation of tax treatment of depreciation and inventories may also play a role. Any change in effective tax rates over a sample period employed to estimate interest rate (or exchange rate) equations may cause deterioration in the fit of a fixed coefficient model. Efforts are underway to employ a random coefficients approach to address this problem.
Digital close range photogrammetry for measurement of soil erosion

Many of the processes involved in soil erosion have dimensions on the millimetre scale. Modelling and quantification of such processes require information on soil surface topography with adequate resolution. The purpose of this study was to generate digital elevation models (DEMs) from soil surfaces with high spatial and temporal resolution. Digital photogrammetry was applied for measuring erosion rates on complex‐shaped soil surfaces under laboratory rainfall conditions. A total of 60 DEMs were generated, covering a planimetric area of 16 m2. The DEMs had a grid resolution of 3 mm. A vertical precision of approximately 1 mm was desired for DEM analysis. A consumer‐grade digital camera was used for image acquisition. The camera was calibrated using BLUH software. Homologous points in overlapping images were identified with least squares matching software. Irregularly spaced object coordinates were interpolated to a regular grid in a geographic information system. The resulting DEMs represented the soil surface well. A precision of 1·26 mm in the vertical was attained. The precision of DEM production was limited to camera calibration. Improvements of the setup presented could include the use of better control points and more advanced image matching strategies for identification of homologous points. The DEMs allowed for detailed analysis of soil surface evolution.