The Right to Organize in the Philippine Business Process Outsourcing Industry

Abstract

There has been some concern over the past few years that nations with emerging economies are sacrificing human dignity over economic progress. An emerging market such as the Philippines has to deal with a host of economic, social, and political issues as its economy develops. One of the issues that concern those who are involved in human rights advocacy is labor rights. The purpose of this paper is to investigate the labor rights issues surrounding the Philippine business process outsourcing (BPO) industry, specifically the right to organize. It also aims to investigate how the changing structure of the Philippine economy has affected the labor rights of its people. This paper will use the BPO industry in the Philippines as a case study. This paper will also try to compare the Philippine experience with those of other countries in order to put its findings in context. Finally, the paper shall examine the effects of globalization on workers’ ability to organize and advocate for their rights.     

Rawls’ Paradox

Rawls’ theory of justice is paradoxical, for it requires a society to aim directly to maximize the basic goods received by the least advantaged even if directly aiming is self-defeating. Rawls’ reasons for rejecting capitalist systems commit him to holding that a society must not merely maximize the goods received by the least advantaged, but must do so via specific institutions. By Rawls’ own premises, in the long run directly aiming to satisfy the difference principle is contrary to the interests of the poor, though it is meant to aid them.

Differing trade elasticities for intra‐ and international distances: A gravity approach

Using the gravity model of trade, I estimate the impact that within‐country transportation distance has on international trade levels. Combining multiple data sets, I create a measure for the distance U.S. agricultural goods travel before leaving the country. In order to account for endogeneity in production location choice, I use potential agricultural production as an instrument for actual agricultural production. I find that internal distance is statistically significant and large in magnitude. A 10% reduction in the distance a good travels within the exporting country increases trade by roughly 3%.     

Heterogeneous agent modelling of technology adoption in competitive agricultural markets

Slow adoption rates of innovation in rural settings are a source of frustration for technology advocates. Adoption decisions consume two valuable but limited resources: (1) time, and (2) capacity to integrate new information. We explore the structural sociological factors using a heterogeneous agent programming model (HAM) to understand the mechanics of socio-economic linkages of diffusion in rural settings. Diffusion constraints are introduced in the form of network-threshold values that reflect the cumulative effects of experience and observation of peers’ experiences. We test a range of confounding factors and find that strong social pressures dramatically increase both innovation diffusion penetration and irregularity. Clustering is caused by strong social pressures and the aggregation of buyers near innovative firms which creates a pattern of buying explosions. As competition between innovators increases, the resulting diffusion process becomes more variable and irregular and is highly likely to result in innovation monopolies in rural areas.     

Is Green Growth Possible?

ABSTRACT

The notion of green growth has emerged as a dominant policy response to climate change and ecological breakdown. Green growth theory asserts that continued economic expansion is compatible with our planet’s ecology, as technological change and substitution will allow us to absolutely decouple GDP growth from resource use and carbon emissions. This claim is now assumed in national and international policy, including in the Sustainable Development Goals. But empirical evidence on resource use and carbon emissions does not support green growth theory. Examining relevant studies on historical trends and model-based projections, we find that: (1) there is no empirical evidence that absolute decoupling from resource use can be achieved on a global scale against a background of continued economic growth, and (2) absolute decoupling from carbon emissions is highly unlikely to be achieved at a rate rapid enough to prevent global warming over 1.5°C or 2°C, even under optimistic policy conditions. We conclude that green growth is likely to be a misguided objective, and that policymakers need to look toward alternative strategies.     

Evaluating the performance of a predictive modeling approach to identifying members at high-risk of hospitalization

Abstract

Aims: To evaluate the risk-of-hospitalization (ROH) models developed at Blue Cross Blue Shield of Louisiana (BCBSLA) and compare this approach to the DxCG risk-score algorithms utilized by many health plans.

Materials and Methods: Time zero for this study was December 31, 2016. BCBSLA members were eligible for study inclusion if they were fully insured; aged 80?years or younger; and had continuous enrollment starting on or before June 1, 2016, through time zero. Up to 2?years of historical claims data from time zero per patient was included for model development. Members were excluded if they had cancer, renal failure, or were admitted for hospice. The Blue Cross ROH models were developed using (1) regularized logistic regression and (2) random decision forests (a tree ensemble learning classification method). All models were generated using Scikit-learn: Machine Learning in Python. Prognostic capabilities of DxCG risk-score algorithms were compared to those of the Blue Cross models.

Results: When stratifying by the top 0.1% of members with the highest ROH, the Blue Cross logistic regression model had the highest area under the receiving operator characteristics curve (0.862) based on the result of 10-fold cross-validation. The Blue Cross random decision forests model had the highest positive predictive value (49.0%) and positive likelihood ratio (61.4), but sensitivity, specificity, negative predictive values, and negative likelihood ratios were similar across all four models.

Limitations: The Blue Cross ROH models were developed and evaluated using BCBSLA data, and predictive power may fluctuate if applied to other databases.

Conclusions: The predictability of the Blue Cross models show how member-specific, regional data can be used to accurately identify patients with a high ROH, which may allow healthcare workers to intervene earlier and subsequently reduce the healthcare burden for patients and providers.     

International trade and macroeconomic dynamics: The case of U.S. bilateral trade with G-7 countries

The short- and long-run effects of exchange rates, income, interest rates and government spending on U.S. bilateral trade with the other G-7 countries are investigated using an autoregressive distributed lag (ARDL) model. The primary contribution of this study is to consider separating the analysis of exports and imports in an integrated model that empirically encompasses four major schools of thoughts – elasticity, Keynesian income, absorption and monetary approaches – in order to identify macroeconomic linkages to U.S. bilateral trade with the other G-7 countries accurately. Results suggest that, in both the short- and long-run, U.S. imports and exports are highly sensitive to changes in U.S. and foreign income, while U.S. imports and exports are relatively insensitive to changes in bilateral exchange rate. It is also found that both exports and imports are more responsive to changes in government spending than changes in interest rates in both the short- and long-run.     

Asia–Pacific Telecommunications Liberalisation and Productivity Performance

This study examines the growth in total factor productivity (TFP) of 12 Asia–Pacific telecommunications carriers for the period 1987 through 1990. Carriers are chosen to represent the stages of telecommunications liberalisation identified by the International Telecommunication Union (1995a). A model relating TFP growth to output growth, changes in output mix, technology change and market competition and private ownership is estimated on a unique data set obtained from telecommunications carrier annual reports. Empirical results show competition, private ownership, technology change and scale economies improve carrier TFP growth.     

Exploring the Relationship Between Rework Projects and Risk Indicators

When projects fail to adequately meet requirements, organizations are forced to either abandon the project or to initiate a new project to address the original project requirements. Because the organization already has experience with and exposure to many project details, it is possible that the second attempt to address the original requirements (a rework project) will create different challenges for the project team. The purpose of this study was to examine risk indicators for rework projects and to determine whether or not risk indicators were the same or different for rework projects. A risk indicator is a factor that has predictive power about the likelihood of a risk occurring in the course of a project's life cycle. The projects studied for this research were undertaken by a large engineering design organization. The results show that there are some important differences in the types of risk indicators experienced by project managers and project teams in rework projects. Specifically, the risks associated with project urgency, quality, and technological changes were more common in rework projects. By understanding and attending to these differences in rework project risks, project managers will be better equipped to successfully guide rework projects to completion.     

Repetition, Communication, and Coordination Failure

We examine repetition as an institution that affects coordination failure in a game with and without pre-play communication. We use probit regression with random effects to test hypotheses regarding the frequency and form of coordination failure in the presence of repeated play versus one-shot games. Our results indicate that repetition without pre-play communication results in a lower frequency of coordination failure relative to one-shot game outcomes. This result is reversed when pre-play communication is allowed. Our evidence also suggests that repeated play coordination failures tend to be suboptimal Nash equilibria, whereas one-shot game coordination failures are disequilibria regardless of the presence of pre-play communication.