A causal analysis of the impact of information systems and supply chain management practices on operational performance: Evidence from manufacturing SMEs in Turkey

This study has empirically tested a framework identifying the causal links among supply chain management (SCM) and information systems (IS) practices, SCM–IS related inhibiting factors and operational performance based on a sample of 203 manufacturing SMEs operating in the manufacture of fabricated metal products and general purpose machinery within the greater metropolitan area of Istanbul in Turkey. Moderating effect of SCM and IS related enabling factors on the above mentioned relationships is also investigated in this study. Tests of hypotheses indicate that both SCM and IS practices positively and significantly influence the operational performance of sample firms. The results of the structural model also indicate a strong support for negative relationships between SCM–IS related inhibitors and the implementation levels of both SCM and IS practices. Similarly, a strong support was found for the hypothesized negative relationship between SCM–IS inhibitors and operational performance of SMEs. Finally, we verified the moderating impact of SCM–IS enablers on the link between SCM practices and operational performance. A similar moderating impact was also found with regard to the relationship between IS practices and operational performance.     

Business processes inter-operation for supply network co-ordination

In a global supply network, the overall improvement of operational efficiency and customer satisfaction can only be achieved through greater co-ordination and collaboration of all the network members. However, full benefits of close co-operation within a global supply network can only be achieved when the business processes of the individual companies can inter-operate. Currently available commercial solutions are inadequate in supporting full network co-ordination in terms of business process changes and technical arrangements. This paper proposes a system that aims to improve the co-ordination of production planning and control activities across the supply network. To achieve this, it is important to develop new business processes and principles for company collaboration and corresponding information systems. This process starts from the identification of business and system requirements, which underlie the general business solutions for network co-ordination, developing the guiding design principles and subsequent process design and system implementation.     

Fiscal Policy in Oil‐exporting Countries: The Roles of Oil Funds and Institutional Quality

Oil‐exporting countries face challenges in the conduct of fiscal policy owing to volatile oil revenues, especially in countries with weak institutions. Many oil exporters have established oil funds to delink government expenditure from oil revenues; however, their effectiveness remains unresolved. This paper examines the roles of oil funds and institutional quality in reducing fiscal procyclicality and macroeconomic volatility in 42 oil‐exporting countries from 1960 to 2014 using panel vector autoregression techniques. The results show that oil funds are effective in reducing fiscal procyclicality in countries with high institutional quality. There is also a reduction in the procyclical bias in those with low institutional quality but the statistical evidence is weak. Nevertheless, oil funds are associated with reduced volatility of government consumption and the real exchange rate in countries with low institutional quality. These findings give credence to the macroeconomic stabilization role of oil funds but also reinforce the importance of good institutions.     

UNIVERSALISM AND THE VALUE OF POLITICAL POWER

Although legislatures typically use majority rule to allocate a budget in distributive legislation, unanimous consent over the broad allocation of benefits is pervasive. I develop a game‐theoretic model where members strategically interact in a universal coalition to determine allocations, with noncooperative bargaining as a threat point for the breakdown of cooperation. To quantify the effects of political power on the agreed‐upon allocation, I structurally estimate the model using the “Bridge Bill Capital Budget” in 1992. I find that 16.73% of the budget would be allocated differently if allocations were determined only based on actual needs.     

Evaluation of the Reggio approach to early education

We evaluate the Reggio Approach using non-experimental data on individuals from the cities of Reggio Emilia, Parma and Padova belonging to one of five age cohorts: ages 50, 40, 30, 18, and 6 as of 2012. The treated were exposed to municipally offered infant-toddler (ages 0–3) and preschool (ages 3–6) programs in Reggio Emilia. The control group either did not receive formal childcare or were exposed to programs offered by municipal systems (outside of Reggio Emilia), or by state or religious systems (in all three cities). We exploit the city-cohort structure of the data to estimate treatment effects using three strategies: difference-in-differences, matching, and matched-difference-in-differences. Most positive and significant effects are generated from comparisons of the treated with individuals who did not receive formal childcare. Relative to not receiving formal care, the Reggio Approach significantly boosts outcomes related to employment, socio-emotional skills, high school graduation, participation in elections, and obesity. Comparisons with individuals exposed to alternative forms of childcare do not yield strong patterns of positive and significant effects. This suggests that differences between the Reggio Approach and other alternatives are not sufficiently large to result in significant differences in outcomes. This interpretation is supported by a survey we conduct, which documents increasing similarities in the administrative and pedagogical practices of childcare systems in the three cities over time.     

Determinants of using operating lease in the hotel industry

This study investigated the determinants of using operating lease in the hotel industry. The hotel industry has utilized operating lease not only for operating equipment but also as a financing instrument through ‘sales and lease back.’ This study found that hotel firms with less internal funds and/or with higher debt ratios are more likely to use operating lease. Contrary to the studies of other industries, hotel firms with less financially distressed are more likely to use operating lease. This study indicated that operating lease decrease as firm size increases, but only up to a certain level, after that level operating lease increase as firm size increases. Contrary to our expectations, the growth opportunity of hotel firms appeared to have no relationship to use of operating lease. These findings contribute to further understandings of hotel industry-specific information regarding what drives hotel firms to use operating lease.     

Investing in residential property in Singapore: Misperceptions and financial leverage principles

This paper addresses the buoyant residential property market in Singapore. We trace the economic reasons underlying the recent boom in residential properties, and discuss some of the common misperceptions we have observed among property investors. We provide a set of principles for investing in properties, and the implications arising from these principles for the choice of mortgage financing and the type of properties to invest in.The authors are with Global Capital Markets, J. P. Morgan and the Department of Finance & Banking, National University of Singapore. All correspondence should be addressed to Edward H. K. Ng, Department of Finance & Banking, National University of Singapore, 10 Kent Ridge Crescent, Singapore 0511, e-mail address fbanghk@nus.sg.     

Testing for serial correlation,spatial autocorrelation and random effects using panel data

This paper considers a spatial panel data regression model with serial correlation on each spatial unit over time as well as spatial dependence between the spatial units at each point in time. In addition, the model allows for heterogeneity across the spatial units using random effects. The paper then derives several Lagrange multiplier tests for this panel data regression model including a joint test for serial correlation, spatial autocorrelation and random effects. These tests draw upon two strands of earlier work. The first is the LM tests for the spatial error correlation model discussed in Anselin and Bera [1998. Spatial dependence in linear regression models with an introduction to spatial econometrics. In: Ullah, A., Giles, D.E.A. (Eds.), Handbook of Applied Economic Statistics. Marcel Dekker, New York] and in the panel data context by Baltagi et al. [2003. Testing panel data regression models with spatial error correlation. Journal of Econometrics 117, 123–150]. The second is the LM tests for the error component panel data model with serial correlation derived by Baltagi and Li [1995. Testing AR(1) against MA(1) disturbances in an error component model. Journal of Econometrics 68, 133–151]. Hence, the joint LM test derived in this paper encompasses those derived in both strands of earlier works. In fact, in the context of our general model, the earlier LM tests become marginal LM tests that ignore either serial correlation over time or spatial error correlation. The paper then derives conditional LM and LR tests that do not ignore these correlations and contrast them with their marginal LM and LR counterparts. The small sample performance of these tests is investigated using Monte Carlo experiments. As expected, ignoring any correlation when it is significant can lead to misleading inference.