Technology Advantage and Trade: Home Market Effects Revisited

According to conventional home market effects, free trade tends to shrink the market share for the smaller economy in the differentiated manufacturing goods, and in the extreme, leads to a complete hollowing out of the industry. In departing from the original Helpman-Krugman modeling assumptions behind the home market effects, we introduce technology differences between trading partners and prove that the home market effects will be offset and will even reverse if the small economy has better technology than the other country. We also prove that even with identical country size, the intra-industry trade addressed in the existing literature may not occur; it will occur only if the technology differential lies within a certain range that is positively affected by the level of transport cost.Home market Effects, Country Size, Technology Differential

Is the public invited? Design, management and use of privately owned public spaces in New York City

Researchers in urban planning, urban design, landscape architecture and sociology often criticize the increasing privatization of public space in the US for limiting the diversity of uses and users. Privately owned public spaces in New York City have received this critique. However, careful empirical research, with onsite observations of specific spaces and interviews with building managers, architects and city officials, is still largely lacking. Nor have researchers systematically investigated the full range of design features and management regulations and practices that do, or do not, serve to exclude certain kinds of activities and occupants. This study does precisely that as well as examining the influence that city agencies have, or have not, exerted over the original design, redesign and management practices. In this research 24 fully enclosed, privately owned public spaces in Manhattan were studied. Preliminary field observations indicate that these 24 spaces vary significantly in their inclusiveness when the presence of homeless is used as an indicator of the latter. Subsequently information was collected through onsite observations, interviews with building managers, architects who were involved in the redesign of the spaces, and city officials in the Department of City Planning and archival sources (e.g., reports of City Planning Commission (CPC) and newspaper articles). The findings indicate that design and management influence the number and diversity of activities and occupants of the 24 indoor privately owned public spaces. Certain design features enhance the quality of the spaces and likely make the spaces inviting. Compared to design features, management practices seem to play a more critical role in determining the number and diversity of activities and occupants. The attitudes of building managers toward certain uses and how they perceive their bonus space(s) compared to traditional public spaces, such as parks, influence how they enforce the rules of conduct posted in the spaces. Consequently, some spaces possessing better environmental quality may be less inclusive than those whose managers are more tolerant of a diversity of uses. Findings indicate that a particular kind of interior privately owned public space — the cross-block atrium — is a good location for people to meet to pursue common interests, suggesting that this kind of place constitutes a new type of public space approximating a community center

Voice Conversion Based on Cross-Domain Features Using Variational Auto Encoders

An effective approach to non-parallel voice conversion (VC) is to utilize deep neural networks (DNNs), specifically variational auto encoders (VAEs), to model the latent structure of speech in an unsupervised manner. A previous study has confirmed the ef- fectiveness of VAE using the STRAIGHT spectra for VC. How- ever, VAE using other types of spectral features such as mel- cepstral coefficients (MCCs), which are related to human per- ception and have been widely used in VC, have not been prop- erly investigated. Instead of using one specific type of spectral feature, it is expected that VAE may benefit from using multi- ple types of spectral features simultaneously, thereby improving the capability of VAE for VC. To this end, we propose a novel VAE framework (called cross-domain VAE, CDVAE) for VC. Specifically, the proposed framework utilizes both STRAIGHT spectra and MCCs by explicitly regularizing multiple objectives in order to constrain the behavior of the learned encoder and de- coder. Experimental results demonstrate that the proposed CD- VAE framework outperforms the conventional VAE framework in terms of subjective tests.Comment: Accepted to ISCSLP 201