Capital Flows to Latin America (2003–17): A Critical Survey from Prebisch’s Business Cycle Theory

ABSTRACT

The economic literature on capital flows to developing countries has shared two important commonalities since the 1990s. Published works (whether they focus on the external situation or stress the domestic determinants of capital flows) tend to assume a beneficial effect of capital inflows, which leads to an improvement of peripheral institutions, whose deficiencies are ostensibly the main cause of economic turmoil and/or failure in attracting capital flows, in continuity with New Institutional Economics. In doing so, mainstream economists deliberately overlook the asymmetric characteristics of the international monetary system and the persisting hegemony of dollar. Raul Prebisch’s pioneering work on business cycles in Latin America provide an alternative view, one capable of amending the existing mainstream literature. On the one hand, Prebisch stressed the destabilizing role of capital inflows on Latin American economies, particularly short-term speculative capital. On the other hand, Prebisch designed a set of counter cyclical monetary policies in order to contrast capital volatility, particularly during downturns. An analysis of stylized facts shows that, when correctly updated, Prebisch’s theory has remarkable explanatory potential when applied to Latin America’s current economic and financial situation.     

Analysing the factors influencing clean technology adoption: a study of the Spanish pulp and paper industry

Technological change has a relevant role to play in the transition towards a sustainable industry. However, slow diffusion of clean technologies can be observed in OECD countries. The analysis of the determinants and barriers to clean technology adoption should be a main goal of economists and social scientists. This paper shows that three sets of interrelated factors prevent but also stimulate the widespread adoption and diffusion of clean technology: these are factors external and internal to the firm, conditions of the potential adopters and characteristics of the environmental technology. These factors are included in the so‐called ‘triangular model’, which is further applied to the analysis of clean technology adoption in the pulp and paper industry in Spain. The empirical study shows that clean technology adoption decisions are the result of an interaction between these factors, often involving contradictory signals for the potential adopter. The paper closes with some public policy recommendations for the effective and efficient promotion of clean technology diffusion. Copyright © 2005 John Wiley & Sons, Ltd and ERP Environment.     

The European high-speed train network: Predicted effects on accessibility patterns

The principal aim of this paper is to evaluate the impact of the future European high-speed train network on accessibility, by reducing time distance between places and modifying their relative location. We compare the current situation with that foreseen for the year 2010, according to the Outline Plan of the European High-Speed Train Network, in order to analyse which areas will most benefit from construction and improvement of the infrastructure. It is hypothesized that the high-speed train will certainly bring the peripheral regions closer to the central ones, but will also increase imbalances between the main cities and their hinterlands. A weighted average distance indicator is applied for this purpose. This measure identifies the spatial distribution of accessibility in the area of study, emphasizing the infrastructure effects, and locates accessibility changes at the European level. A Geographic Information System (GIS) has been used to carry out this study.     

A new coincident index of business cycles based on monthly and quarterly series

Popular monthly coincident indices of business cycles, e.g. the composite index and the Stock–Watson coincident index, have two shortcomings. First, they ignore information contained in quarterly indicators such as real GDP. Second, they lack economic interpretation; hence the heights of peaks and the depths of troughs depend on the choice of an index. This paper extends the Stock–Watson coincident index by applying maximum likelihood factor analysis to a mixed‐frequency series of quarterly real GDP and monthly coincident business cycle indicators. The resulting index is related to latent monthly real GDP. Copyright © 2002 John Wiley & Sons, Ltd.     

Climate Change Policies and Tax Recycling Schemes: Simulations with a Dynamic General Equilibrium Model of the Italian Economy

A dynamic general equilibrium model of the Italian economy is used to assess the impact of carbon taxation (or auctioned carbon permits), where additional revenue is used to cut either existing taxes on labor or on capital income. Simulation results do not support the existence of the so-called "double dividend" when labor taxes are reduced, whereas lower tax rates on capital have mild positive effects on growth and welfare, with progressivity properties on income distribution. These findings hinge on the assumptions of open economy, given world interest rate, and capital mobility.     

Media visibility and corporate social responsibility investment evidence in Spain

Despite the extensive research in both the determinants and the results of corporate social responsibility (CSR), relatively few studies have considered extra-legal institutions as potential determinants of CSR. Our work fills this gap by looking at how media attention affects CSR over a long-term period in a continental European setting. Our results show that media coverage positively affects CSR. Additional scrutiny triggered by media coverage encourages dominant owners to signal their commitment to limiting self-dealing transactions and their orientation toward stakeholders' needs through CSR investments. Additionally, our results reveal that this signaling device offers greater benefits and lower costs in firms where controlling owners show a voting-cash flow wedge. Our results are relevant to different actors such as investors, auditors, and policy makers as they provide solid evidence that media coverage is an important driver of CSR orientation in a continental European setting.     

Tourist accommodation,consumption and platforms

The expansion of mediated accommodation on peer to peer (P2P) platforms, such as Airbnb, has generated extensive economic impact and structural changes in all the destinations involved. This study proposes an innovative analysis which estimates the economic impact associated with the expenditure of tourists staying in traditional hotel establishments in comparison to the impact of those staying in tourist housing mediated through P2P platforms. This research analyses fieldwork based on 1343 surveys carried out in the city of Granada, one of the main tourist destinations in Spain. Through the application of the input–output methodology we found that tourists staying in tourist housing mediated through P2P platforms generate a greater impact as a consequence of longer average stays and more heterogeneously distributed consumption. Their average expenditure is similar to that of tourists in hotels, but the indirect impact generated is greater. Consequently, we can better comprehend the economic impact associated with these platforms and their real effect. Public planners have to consider this information as part of the regulation and restriction of this activity.     

Gradual stimulation of respondents' reflexivity: A research design for studying unreflexive consumers

In interpretive research accounts, reflexivity has been understood primarily in terms of the researcher's reflexivity, while the respondent's reflexivity has been considered only marginally. We regard this gap as critical and therefore introduce a research design for the gradual stimulation of respondents' reflexivity (GSRR), which we propose as a methodological tool for strengthening research validity. First, to frame our argumentation in the contemporary socio-technological context, we emphasize the need to focus on the respondent's reflexivity in the onto-epistemological conditions of the hybrid space and posthuman consumer culture, which unprecedentedly eliminate actors' abilities to monitor their actions reflexively. Second, we present and methodologically examine the GSRR as a 3-phase sequential mixed-method research design for stimulating respondents' reflexivity. GSRR's logic is as follows: the questionnaire captures what respondents think they are doing; the digital self-tracking diary captures what they are doing and what they often do not acknowledge (unreflexivity); the interviews use the previous phases' data to elicit respondents' reflexivity. Third, we present examples from our research practice to demonstrate the strengthening of data validity elicited from respondents by stimulating their reflexivity. We conclude by outlining the GSRR's possible future applications and directions.     

Trade and agricultural development in the 1980s and the challenges for the 1990s: Latin America

Trends in agricultural trade for South and Central America are documented and the reform process is discussed. Performance of the agricultural sector of the region is evaluated. Challenges for policy makers are reviewed, ranging from macroeconomic policy to science and technology.     

FOREIGN DIRECT INVESTMENT: THE KNOWLEDGE‐CAPITAL MODEL AND A SMALL COUNTRY CASE

This research looks at how foreign direct investment (FDI) in a small open economy compares with that of larger countries. I apply several specifications of the knowledge‐capital model to unique FDI data from the isolated country of Iceland, allowing for comparison with previous analysis of larger and similarly open economies. Using this together with other techniques, I seek to explain investment determinants by geography, economic size and skilled labor availability. The results of these analysis show that popular specifications do not accurately predict the effects for a small country case.