The Landscape of Economic Growth: Do Middle-Income Countries Differ?

We review the growth experience of middle-income countries. Economic factors associated with growth appear to differ between middle-income and other countries. The efficiency of the financial system is importantly related to the growth rate in low- and middle-income countries, but appears to matter less as one moves up the income scale. Demographic variables also matter importantly in low-income countries. In middle-income countries, in contrast, measures of the financial system no longer appear to matter as importantly, as if inefficiencies in banking and financial systems are no longer as binding a constraint as at earlier stages of financial development; nor are demographic variables as important as before. At this point, other variables gain a growing role: these include whether the country experiences a banking or currency crisis, the extent of non-foreign direct investment capital inflows, and government debt as a share of gross domestic product.     

The Role of Total Factor Productivity Growth in Middle-Income Countries

We examine the importance of total factor productivity (TFP) growth in middle-income countries (MICs) based on cross-country panel data for the period of 1975–2014. We find that TFP growth contributed significantly to a country’s upward transition from middle-income to high-income country group. The TFP growth model reveals that the catch-up effect, human capital, smaller population, weak currency, and research and development growth are significant sources of TFP growth. We do not find a systematic difference in the TFP growth models for MICs. In analyzing the role of factors influencing TFP growth at different income stages, strengthening innovative activities and building innovative capacities are important in overcoming the challenges that MICs face when transitioning to the high-income group. Governments of upper MICs need to initiate reform to motivate innovation by optimizing national R&D systems, and redesigning the educational system to target promoting innovation.     

企业职工延长退休年龄影响因素实证研究—以W市为例

企业职工作为重要的社会组成元素以及政策的接受者，延迟退休政策的制定、实施毫无疑问需要广泛征求他们的意见。本研究以W市作为调查基地，在文献研究、社会调查与深度访谈三者相结合并借助SPSS分析工具充分论证的基础上得出了相关研究结论：一是W市企业职工延迟退休影响因子排序，强到弱排序依次为：健康、收入、工作满意度、周工作时长、工作性质、抚养子女负担、配偶状况、年龄、单位福利、单位性质、性别、受教育程度、公司职位、赡养老人负担、婚姻状况。二是影响因素与延迟退休的相互关系：(1)个人因素中，男性职工比女性职工更能够接受延迟退休。年龄与延迟退休成负相关的关系。已婚或未婚企业职工都不愿意接受延迟退休。不愿意延迟退休者中受教育程度与最大延迟退休年龄正相关。(2)单位因素中，企业性质为国有、集体或控股企业与外资企业比私营、民营企业的职工更愿意接受延迟退休。单位福利种类多并不能直接刺激到企业职工的延迟退休意愿，但在强制延迟退休时，享受福利种类越多与企业职工能够接受最大延迟退休年龄之间成正相关关系。公司职位与延迟退休之间没有严格的相关关系。(3)负担因素中，具有抚养子女负担和赡养老人负担与延迟退休成负相关。(4)经济因素中，低收入和高收入的个人以及家庭相对对于中层收入而言更不愿延迟退休。健康因素与延迟退休成负相关。(5)工作因中，周工作时长与工作满意度和延迟退休决策分别成负相关和正相关。体力劳动者比脑力劳动者不愿意延迟退休。最后，对W市研究延迟退休年龄有针对性的提出相关政策建议。     

Barriers to the investment in the Concentrated Solar Power sector in Morocco: A foresight approach using the Cross Impact Analysis for a large number of events

The Scenario Analysis methods have often been used by policy makers as an instrument to manage uncertainty and to support the shaping of long-term economy policies. In this research, we apply Scenario Analysis in order to identify the barriers affecting the decision to invest in the Concentrated Solar Power (CSP) sector in Morocco. Our results aim at facilitating the process of defining different paths in strategic political and policy actions. Using data from a survey on a panel of experts, the Cross Impact Analysis (CIA) and the Cross Impact Matrix System (SMIC) techniques are applied. The advantage of these techniques is that they allow including in the analysis the interlinkages between the events that will define the future scenarios. However, their limitation is that the number of events analyzed cannot be too high since the information collected from the experts increases exponentially according to the number of events introduced. We thus expand our analysis with a new methodological approach, combining the use of prospective and statistics techniques. This approach allows addressing the mentioned limitation and applying these techniques, initially restricted to 6 events in its common application, to a large number of events. The results show that uncertainty and informality would be key factors in promoting the arrival of companies in this sector. Additionally, regarding companies that already have a presence in Morocco’s renewable energy sector, an increase in activity would be achieved through improvements in the easing of financial and legal barriers.     

Public–private partnerships in Social Impact Bonds: facilitating competition or hindering transparency?

ABSTRACT

The use of Social Impact Bonds (SIBs), which introduces the potential for investor profit in public service provision, has been widely discussed. Some argue that SIBs might promote government transparency because outcome data collection and evaluation are part of contractual terms. On the other hand, some argue that SIBs might hinder government transparency because more contractual parties might lead to more uncertain data ownership and because the profit motive transforms information into a competitive advantage. This paper looks at SIBs in five countries, examining how transparency differed between SIB and non-SIB financed programmes at the same social service provider. On the positive side, SIBs led to more and longer collection of outcome data and the publication of evaluations. On the negative side, it was found that SIBs tend to generate significant obstacles to the release of data to academic researchers and that sponsored evaluations do not measure impacts.     

The World Is Not Enough! Small Open Economies and Regional Dependence

In this paper, we explicitly introduce regional factors into a global dynamic factor model. We combine new open economy factor models (emphasizing global shocks) with the recent findings of regional importance in the business cycle synchronization literature. The analysis is applied to a large panel of domestic data for four small open economies. We find that global and regional shocks explain roughly 30 and 20 percent, respectively, of the business cycle variation in all countries. While global shocks have most impact on trade variables, regional shocks explain a relatively large share of the variation in cost variables.     

信息化对制造业升级的影响机制研究

信息化对制造业升级的影响日益深远，但其影响机制也更加复杂。通过微观、宏观双视角定性论述，借助GMM模型对中国283个城市2004-2014年的面板数据进行定量测度，探讨了信息化对制造业升级的影响机制。结果显示：信息化与制造业升级存在倒U型关系，当信息化程度未跨过风险拐点时，其对制造业升级会产生促进作用；信息化程度跨过风险拐点后，信息化对制造业升级的促进作用呈下降趋势。研究表明信息化并不总是促进制造业升级，信息化是机遇也是挑战，各地区需要因地制宜，结合自身工业化水平来发展信息化。     

Do R&D and ICT affect total factor productivity growth differently?

We analyze the effect of ICT and R&D on total factor productivity (TFP) growth across different industries in Sweden. R&D alone is significantly associated with contemporaneous TFP growth, thus exhibiting indirect effects. Although there is no significant short-run association between ICT and TFP, we find a positive association with a lag of seven to eight years. Thus, R&D affect TFP much faster than ICT-investments. We also divide ICT capital into hardware and software capital. To our knowledge, this distinction has not been made in any previous study analyzing TFP at the industry level. The results show that lagged hardware capital services growth is significantly associated with TFP growth. Hence, investments complementary to hardware are needed to reap the long-run TFP effects from reorganizing production.     

Does urbanization reduce rural poverty? Evidence from Vietnam

This paper uses data from household surveys to contribute to the urbanization-poverty nexus literature by assessing the effect of urbanization on income, expenditure, and poverty in rural households in Vietnam. We find that the urbanization process stimulates the transition from farm to non-farm activities in rural areas. More specifically, urbanization tends to reduce farm income and increase wages and non-farm income in rural households. This suggests that total income and consumption expenditure of rural households are more likely to increase with urbanization. Finally, we find also that urbanization helps decrease the expenditure poverty rate of rural households, albeit by a small magnitude.     

The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms

The impact of the industrial and digital (information) revolutions has, undoubtedly, been substantial on practically all aspects of our society, life, firms and employment. Will the forthcoming AI revolution produce similar, far-reaching effects? By examining analogous inventions of the industrial, digital and AI revolutions, this article claims that the latter is on target and that it would bring extensive changes that will also affect all aspects of our society and life. In addition, its impact on firms and employment will be considerable, resulting in richly interconnected organizations with decision making based on the analysis and exploitation of “big” data and intensified, global competition among firms. People will be capable of buying goods and obtaining services from anywhere in the world using the Internet, and exploiting the unlimited, additional benefits that will open through the widespread usage of AI inventions. The paper concludes that significant competitive advantages will continue to accrue to those utilizing the Internet widely and willing to take entrepreneurial risks in order to turn innovative products/services into worldwide commercial success stories. The greatest challenge facing societies and firms would be utilizing the benefits of availing AI technologies, providing vast opportunities for both new products/services and immense productivity improvements while avoiding the dangers and disadvantages in terms of increased unemployment and greater wealth inequalities.