Markov-switching dynamic factor models in real time

We extend the Markov-switching dynamic factor model to account for some of the specificities of the day-to-day monitoring of economic developments from macroeconomic indicators, such as mixed sampling frequencies and ragged-edge data. First, we evaluate the theoretical gains of using data that are available promptly for computing probabilities of recession in real time. Second, we show how to estimate the model that deals with unbalanced panels of data and mixed frequencies, and examine the benefits of this extension through several Monte Carlo simulations. Finally, we assess its empirical reliability for the computation of real-time inferences of the US business cycle, and compare it with the alternative method of forecasting the probabilities of recession from balanced panels.     

Foreign direct investments,institutional quality,and economic growth

Institutional quality is considered to be an important factor in boosting economic growth of a country. This paper explores the role of institutional quality in economic growth and more specifically the role it plays via the channel of foreign direct investments. This paper uses a larger dataset of 104 countries and applies GMM estimation method to a dynamic panel data to evaluate the direct impact of institutional quality on economic growth and the indirect impact of institutional quality on economic growth through enhancing the FDI-induced economic growth. This paper provides evidence that both FDI inflows and institutional quality cause stronger economic growth. The FDI-led growth, however, was only experienced in the low and middle-income countries. In these countries, better institutional quality was also found to be enhancing the FDI-led economic growth. An important finding of this paper is that in the high-income countries, FDI was found to slow down the economic growth. The results are robust and consistent for individual institutional quality indicators and controlling for endogeneity.     

REGIME DEPENDENT EFFECT OF OUTPUT GROWTH ON OUTPUT GROWTH UNCERTAINTY: EVIDENCE FROM OECD COUNTRIES

This paper studies the impact of output growth on output growth uncertainty by considering two important issues hitherto not properly and adequately addressed to in the existing empirical studies specifying this relationship. These are: (i) the possible existence of a threshold level of output growth, and the consequent identification of two regimes characterized by high and low output growth, and (ii) whether or not the coefficient capturing the causal link is different in these two output growth states. This paper proposes a regime switching model to study this asymmetric effect for 16 OECD countries. Based on monthly time‐series observations, our results strongly support that the impact varies significantly between the two output growth regimes with the coefficient in the high growth regime being negative for majority of the countries.     

The China model view is factually false

ABSTRACT

Using a cross-regional analysis of China, this article shows that the China model view is factually false and the universal model view is factually true. It is the marketization and development of non-state sectors, rather than the strong power of government and the state sector, that have driven the Chinese economy to grow fast and to be increasingly innovative. If China wants to sustain its economic performance, it must stay on the way to continuing marketization. Otherwise, China will fall into stagnation.     

The economics of the super‐multiplier: A comprehensive treatment with labor markets

This paper links the super‐multiplier to Keynesian macroeconomics, showing it to be the most Keynesian of growth perspectives. Next, the paper shows that the super‐multiplier is a micro‐economically coherent theory of investment and capital accumulation. Firms’ decisions regarding capital accumulation coordinate demand and supply growth in goods markets. The paper then explores the implications of incorporating the super‐multiplier in the neo‐Kaleckian and Cambridge growth models. Lastly, it shows how labor markets and unemployment can be added into super‐multiplier models to provide a comprehensive growth model that addresses Solow's (1956, Journal of Economics, 70, 65–94) labor market knife‐edge problem. Incorporating labor markets does not change the fundamental super‐multiplier result that growth is determined by the growth of autonomous demand.     

Twenty-year review of South African fiscal policy: A tale of two sustainabilities

In 2014 democracy in South Africa was 20 years old. The democratic government in 1994 inherited both a high and increasing public debt/gross domestic product ratio and significant development backlogs. The government had to establish fiscal sustainability, yet also pursue development in a sustainable way. This article explores the government's performance in reconciling fiscal sustainability with sustainable development. The article shows that fiscal policy has been sustainable over the 20 years, with some risks appearing towards the end, and that the government pursued sustainable development through reallocating resources within the budget and by spending more in real terms. Three phases can be identified: 1994–2000, 2001–08 and 2009–13. However, poor service delivery and low levels of government investment during the 20 years threaten to undermine economic growth. Lower growth consequently threatens the sustainability of both fiscal policy and development, which, in turn, again undermines growth prospects. Hence, the article also identifies key future challenges.     

The organisation of urban agriculture in Cape Town,South Africa: A social capital perspective

This article explores urban agriculture in Cape Town and its organisational forms. Based on a literature review of peer-reviewed articles and grey literature, it examines the state of linkages among urban farmers and various supporting organisations of urban agriculture. Moreover, it examines the coordination of activities among key supporting organisations. By analysing the roles of state and non-state actors and linkages, the article discusses implications for the development of urban agriculture. This article suggests that a lack of effective coordination of initiatives among supporting actors presents a significant pitfall in the development of urban agriculture. Furthermore, the failure of farmers to self-organise is identified as equally detrimental. Therefore, it calls for improved synergies between state and non-state actors involved to ensure that the gains of urban agriculture are enhanced.     

Structural transformation and productivity growth in India during 1960–2010

In this paper, we examine the role of structural change and sectoral productivity growth in explaining the aggregate productivity of India relative to the United Sates during 1960–2010. We set up a simple two sector general equilibrium model and calibrate it to fit the structural transformation of United States. Our calibrated model for India highlights the relative importance of agricultural productivity growth in explaining its slow process of catching up in terms of aggregate productivity. We show that India could have progressed at a much faster rate and closed a substantial part of its aggregate productivity gap if its agricultural sector had grown at a rate at par with the United States. It is India's relative productivity growth in the non-agricultural sector that explains all the recent success in its closing the aggregate productivity gap with the United States. We also found that an elimination of relative distortion in agriculture in India could result into a modest improvement in the aggregate labour productivity.     

A tale of two clusters: knowledge and emergence

Cluster emergence is an important topic but weakly conceptualized in the literature. Focusing on the interaction of the local knowledge pool and firm growth, the paper develops a comprehensive framework to understand cluster emergence. In the framework, the cluster formation process starts with the collision of local and external knowledge which generates an innovation and stimulates the creation of local pioneering firms in a new field. To support the growth of follow-up entrants in the new industry, the local knowledge pool needs to be expanded and deepened through local knowledge sharing and external knowledge inflows. The enlarged local knowledge pool enables local firms to grow and explore other fields further. To promote cluster emergence, public policies need to facilitate the interaction of the local knowledge pool and firm growth. The paper illustrates the interactive framework with two aluminum extrusion clusters in China that emerged in different ways over different time periods.