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The transition to a more innovation-based growth model is even more urgent in the current uncertain global context[1]. While the GDP growth rate has proven resilient in recent years, declining oil and gas output, coupled with economic shocks, including the recent COVID-19 pandemic, havedented the growth momentum. In this difficult context, a sustained increase in private investment, coupled with improvements in productivity willbe necessary to maintain a sustainable economic growth trajectory that enables Malaysia to reach high-income status. There is a significant body ofevidence to demonstrate a positive correlation between levels of innovation and productivity. Malaysia recognizes the need to embrace an innovation-driven growth model to weather the current global crisis and achieve its aspirations of becoming a high-income nation. Malaysia hastransformed what was once an agricultural economy, to one that is manufacturing-led. Recognizing the importance of productivity led growth model,research and development (R and D) resources and expenditures in Malaysia grew over the years as did policy efforts through reforms and improvements to bolster educational as well as science, technology and innovation capabilities and outcomes.
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Biases from truncation caused by coresidency restriction have been a challenge for research on intergenerational mobility. Estimates of intergenerational schooling persistence from two data sets show that the intergenerational regression coefficient, the most widely used measure, is severely biased downward in coresident samples. But the bias in intergenerational correlation is much smaller, and is less sensitive to the coresidency rate. The paper provides explanations for these results. Comparison of intergenerational mobility based on the intergenerational regression coefficient across countries, gender, and over time can be misleading. Much progress on intergenerational mobility in developing countries can be made with the available data by focusing on intergenerational correlation.
Coresidency. --- Developing Countries. --- Disability. --- Education. --- Educational Sciences. --- Intergenerational Correlation (IGC). --- Intergenerational Mobility. --- Intergenerational Regression Coefficient (IGRC). --- Primary Education. --- Science and Technology Development. --- Science Education. --- Scientific Research and Science Parks. --- Social Protections and Labor. --- Truncation Bias.
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The authors test the hypothesis that product standards harmonized to de facto international standards are less trade restrictive than ones that are not. To do this, the authors construct a new database of European Union (EU) product standards. The authors identify standards that are aligned with ISO standards (as a proxy for de facto international norms). The authors use a sample-selection gravity model to examine the impact of EU standards on African textiles and clothing exports, a sector of particular development interest. The authors find robust evidence that non-harmonized standards reduce African exports of these products. EU standards which are harmonized to ISO standards are less trade restricting. Our results suggest that efforts to promote African exports of manufactures may need to be complemented by measures to reduce the cost impacts of product standards, including international harmonization. In addition, efforts to harmonize national standards with international norms, including through the World Trade Organization Technical Barriers to Trade Agreement, promise concrete benefits through trade expansion.
Article --- Bibliographic Database --- Catalogue --- Description --- Documents --- Education --- Information and Communication Technologies --- Information Management --- Information Security and Privacy --- Probability --- Science and Technology Development --- Science Education --- Scientific Research and Science Parks --- Standardization --- Standards and Technical Regulations --- Terminology --- Web --- Website
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This paper presents the first critical review of literature on poverty published in Russia between 1992 and 2006. Using a dataset of about 250 publications in Russian scientific journals, the authors assess whether the poverty research in Russia satisfies the general criteria of a scientific publication and if such studies could provide reliable guidance to the Russian government as it maps out its anti-poverty policies. The findings indicate that only a small proportion of papers on poverty published in Russia in 1992-2006 follow the universally-recognized principles of the scientific method. The utility of policy advice based on such research is questionable. The authors also suggest steps that could, in their view, improve the quality of poverty research in Russia.
Education --- Information Security and Privacy --- Literature --- Papers --- Poverty Monitoring and Analysis --- Poverty Reduction --- Research findings --- Researchers --- Science and Technology Development --- Science Education --- Scientific journals --- Scientific knowledge --- Scientific papers --- Scientific research --- Scientific Research and Science Parks --- Scientists --- Social science --- Tertiary Education
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This paper investigates how land size measurements vary across three common land measurement methods (farmer estimated, Global Positioning System (GPS), and compass and rope), and the effect of land size measurement error on the inverse farm size relationship and input demand functions. The analysis utilizes plot-level ata from the second wave of the Nigeria General Household Survey Panel, as well as a supplementary land validation survey covering a subsample of General Household Survey Panel plots. Using this data, both GPS and self-reported farmer estimates can be compared with the gold standard compass and rope measurements on the same plots. The findings indicate that GPS measurements are more reliable than farmer estimates, where self-reported measurement bias leads to over-reporting land sizes of small plots and under-reporting of large plots. The error observed across land measurement methods is nonlinear and results in biased estimates of the inverse land size relationship. Input emand functions that rely on self-reported land measures significantly underestimate the effect of land on input utilization, including fertilizer and household labor.
Agriculture. --- E-Business. --- Education. --- Land Measurement. --- Private Sector Development. --- Rural Development Knowledge and Information Systems. --- Rural Development. --- Science and Technology Development. --- Science Education. --- Scientific Research and Science Parks. --- Standards and Technical Regulations. --- Survey Methods.
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Policy makers bemoan the lack of research findings to guide urgent decisions, whereas researchers' professional code puts rigor first. This article argues that provisional assessments, produced early in the research cycle, can bridge the gap. Numerous case studies point to the importance of early interaction with policy makers and the delivery of brief, policy-focused papers; but preliminary analyses may be flawed and so increase the chances of a wrong decision. This article emonstrates analytically that a preliminary assessment, supported by the offer of more refined research, provides an option that is superior, on average, to the current practice of submitting a final report at the end of the research cycle. Where practical implementation is concerned, it calls for donor-funded subsidies to promote the use of provisional assessments and for a rapid, independent, professional review process to ensure their quality. While the research-policy exchange in developing countries is a complex, context-specific phenomenon, the proposal offered here holds out some promise of improving decisions in the public sphere under a wide range of circumstances.
Decision-Making Under Uncertainty. --- Developing Countries. --- Education. --- Health, Nutrition and Population. --- Policy Research. --- Population Policies. --- Research-Policy Dialogue. --- Rigor-Timeliness Trade-Off. --- Science and Technology Development. --- Science Education. --- Scientific Research and Science Parks. --- Tertiary Education.
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A recent survey of rigorous impact evaluations of programs to help small and medium-size firms to formalize indicates that the programs do not seem to work for most informal firms. One of the few exceptions finds large effects of a tax simplification program in Brazil called SIMPLES on firms' formalization rates and performance indicators. Using the same data set but a different identification strategy, another study concludes that the program had limited effect on formalization rates. The aim of this paper is twofold. First, it revisits the two studies to reconcile their conflicting conclusions. Second, it investigates the validity of the identification strategy of both studies. The findings suggest that the conflicting results between the two studies are caused by the dates each used to identify when the program was put into effect. A robustness check indicates that data heaping and seasonality around November cast doubts on the identification strategy used in both studies to estimate the effect of this particular program.
Business Environment. --- Business Taxation. --- E-Business. --- Education. --- Finance and Financial Sector Development. --- Private Sector Development. --- Regression Discontinuity Design. --- Science and Technology Development. --- Science Education. --- Scientific Research and Science Parks. --- Simples Program. --- Small Scale Enterprise. --- Sme Development.
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The small-area estimation technique developed for producing poverty maps has been applied in a large number of developing countries. Opportunities to formally test the validity of this approach remain rare due to lack of appropriately detailed data. This paper compares a set of predicted welfare estimates based on this methodology against their true values, in a setting where these true values are known. A recent study draws on Monte Carlo evidence to warn that the small-area estimation methodology could significantly over-state the precision of local-level estimates of poverty, if underlying assumptions of spatial homogeneity do not hold. Despite these concerns, the findings in this paper for the state of Minas Gerais, Brazil, indicate that the small-area estimation approach is able to produce estimates of welfare that line up quite closely to their true values. Although the setting considered here would seem, a priori, unlikely to meet the homogeneity conditions that have been argued to be essential for the method, confidence intervals for the poverty estimates also appear to be appropriate. However, this latter conclusion holds only after carefully controlling for community-level factors that are correlated with household level welfare.
Confidence intervals --- Descriptive statistics --- Education --- Enumeration --- Geographical Information Systems --- Precision --- Predictions --- Reliability --- Sample design --- Sample surveys --- Science and Technology Development --- Science Education --- Scientific Research and Science Parks --- Small Area Estimation Poverty Mapping --- Standard errors --- Statistical and Mathematical Sciences --- Validity
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It is assumed that added time to export adds cost to and lowers the volume of trade. Time delays may also affect the composition of trade and can disproportionately reduce trade in time-sensitive goods. This paper investigates the validity of these propositions using the World Bank Doing Business database and Enterprise Surveys for 64 developing countries. The authors find that in countries where there is longer time needed to export firms in time-sensitive industries are less likely to become exporters. Moreover, firms that do export have lower export intensities. Their findings imply that time to export is a significant determinant of comparative advantage. For example, consider two industries that have the same export probability and intensity - but differ in time-sensitivity by one standard deviation. Action taken to cut time to export by 50 percent for one industry opens a 6 percentage point difference between the export probabilities of the two industries. In addition, steps to cut time delays increase export intensities by 1.9 percentage points. This impact applies to industries with different productivity levels - and those in developing countries with different income levels.
Air --- Air transport --- Automotive sector --- Capital investments --- Comparative Advantage --- Cost-benefit analysis --- Economic Theory and Research --- Education --- Efficiency of infrastructure --- Free Trade --- Freight --- Infrastructure investment --- Inland transport --- Inspection --- International Economics & Trade --- International transport --- Science Education --- Scientific Research and Science Parks --- Shipping containers --- Transit --- Transport costs --- Transport Economics, Policy and Planning --- Transport modes --- Transport systems --- Transportation --- Transportation cost --- Transportation costs
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Knowledge about development effectiveness is constrained by two factors. First, the project staff in governments and international agencies who decide how much to invest in research on specific interventions are often not well informed about the returns to rigorous evaluation and (even when they are) cannot be expected to take full account of the external benefits to others from new knowledge. This leads to under-investment in evaluative research. Second, while standard methods of impact evaluation are useful, they often leave many questions about development effectiveness unanswered. The paper proposes ten steps for making evaluations more relevant to the needs of practitioners. It is argued that more attention needs to be given to identifying policy-relevant questions (including the case for intervention); that a broader approach should be taken to the problems of internal validity; and that the problems of external validity (including scaling up) merit more attention.
Beneficiaries --- Counterfactual --- Economic Theory and Research --- Education --- Impact assessment --- Impact evaluation --- Infrastructure projects --- Intervention --- Learning --- Macroeconomics and Economic Growth --- Poverty Monitoring and Analysis --- Poverty outcomes --- Poverty Reduction --- Programs --- Science and Technology Development --- Science Education --- Scientific Research and Science Parks --- Targeting --- Tertiary Education
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