Under threat: Rules-based fiscal policy and how to preserve it

Rules-based fiscal policy is under threat. Over the last two decades, it proved frustratingly complicated to strike the right balance between three essential properties of sound fiscal policy rules: simplicity, flexibility, and enforceability. Simplicity has been sacrificed to ensure that more contingent (i.e. flexible) rules remained enforceable. The resulting arrangements have failed to adequately guide fiscal policy, undermining formal compliance, and ultimately, popular and political support for rules. To mitigate the risk that countries abandon rules-based policymaking, we suggest downplaying enforceability—i.e. the role of formal sanctions through enforcement—and enhancing the reputational costs of breaching rules. At the limit, the rule could consist of a simple quantitative benchmark for a key fiscal indicator. To boost reputational effects, independent fiscal councils should focus on debunking the “fiscal alchemy,” clearing the public debate from partisan smokescreens, and fostering popular support for sound fiscal policies.     

Impact of an urban growth boundary across the entire house price spectrum: The two-stage quantile spatial regression approach

This study provides evidence for the impact of an urban growth boundary (UGB) on house prices. The study employs a two-stage quantile spatial regression method on a dataset that inventories sales transactions of single-family houses within two miles of either side of the eastern boundary of the primary UGB in King County, Washington. The results show that while the UGB decreases house prices across the entire house price spectrum, the impact is uneven; it is most pronounced for houses in the 5th to 8th decile of prices. These findings should encourage policy makers to adopt sub-housing-market-level policy approaches to address UGB and other urban and regional development policies’ potential impacts on house prices.     

Investment decision-making under economic policy uncertainty

It is widely established that economic policy uncertainty (EPU) affects investment decisions and performance, yet research in this area has overlooked the direct property investment market. This article seeks to rectify this and proposes a multistage multilevel analytical framework to offer new insights and a richness of findings. Using a news-based measure of EPU in the United Kingdom, and controlling for economic conditions, a national-level analysis reveals some evidence of Granger-Causality between EPU and total returns, indicating that pricing is responsive to uncertainty. These findings suggest that EPU is an important risk factor for direct property investments, with pricing implications. Differences in data and performance measure are important, however, with income returns unresponsive. A micro-level investigation begins to reveal some of the asset-pricing decisions underpinning the national results, indicating investors’ concerns for income streams are consistently high, regardless of varying EPU. Pricing can also cause changes in EPU, such as in the retail and industrial markets (increasingly linked through logistics) reflecting sector-specific stakeholder groups and newsworthy issues. This evidence highlights how important it is for policy-makers to understand the complex and bi-directional relationship, that indecision can undermine investment confidence and cause investment market volatility, in turn raising EPU.     

The function-specific microfoundations of dynamic capabilities in cross-border mergers and acquisitions

In mergers and acquisitions, the acquiring firm must combine two firms’ resources and capabilities so that the outcome yields value. In individual firms, the marketing & sales, and R&D functions have typically developed intertwined and complex relationships over time. These multifaceted dependencies may obscure the integration of the firms and their functions. In order to reveal to what extent cross-functional relationships determine the success or failure of an acquisitions, we have made one of the first attempts to study merging firms’ function-specific capabilities, underlying microfoundations, and their cross-functional relationships during the integration process—instead of focusing on acquisition capabilities as such. We use longitudinal data from two cross-border acquisitions between US and Finnish SMEs. Our results indicate that major differences between merging firms’ cross-functional microfoundations—that is, their structures, processes, routines, and skills—might either enforce or erode the seemingly promising synergies at the product and market levels, depending on managerial awareness of their nature.     

Sensory Aspects of Retailing: Theoretical and Practical Implications

Sensory elements are an important aspect of both offline and online retail stores and can non-consciously influence consumer judgments and purchase behavior. In offline settings, ambient factors like scent, lighting, and music have been shown to influence customers’ shopping experiences and their buying behaviors. For online retail outlets, sensory factors related to color, display patterns, and layouts can have significant effects on consumer behavior. Sensory elements have strong managerial relevance since they can non-consciously influence behaviors and because they are relatively easy to change; for example, it requires minimal effort to change the lighting or the music at a physical retail store or the display pattern for an online store. The eight papers in this special issue address theoretical and practical issues related to how different sensory elements can strongly influence retail practices. These papers focus on underexplored topic areas and also on emerging technologies, which stimulate thoughts for further research in these areas.     

A spatial autoregressive stochastic frontier model for panel data incorporating a model of technical inefficiency

By integrating Battese and Coelli’s (1995) model and the spatial autoregressive model (SAR), a spatial autoregressive stochastic frontier model for panel data is developed. The main feature of this frontier model is a spatial lag term of explained variables and the joint structure of a production possibility frontier with a model of technical inefficiency. The model addresses both spatial dependence and heteroskedastic technical inefficiency. This study applies maximum likelihood methods considering the endogenous spatial lag term. The proposed model nests several existing models. Further, an empirical analysis using data on the Japanese manufacturing industry is conducted and the existing models are tested against the proposed model, which is found to be statistically supported. The findings suggest that estimates in the existing spatial and non-spatial models may exhibit bias because of lack of determinants of technical inefficiency, as well as a spatial lag. This bias also affects the technical efficiency score and its ranking.     

Economic Competition,Policy Interdependence,and Labour Rights

Extant scholarship treats national policies concerning labour rights as a function of economic factors and yet neglects influences of policies among economically competing states. Relying on the policy interdependence theory, this study argues that labour rights policy in a state is dependent on its economic competitors’ labour policy decisions. It specifically maintains that the intensifying competition for foreign direct investment and exports as well as against imports channels negative externalities of deteriorating labour protection in competing states which drives expansive downward policy mimicking and leads to a global decline in labour rights – a race to the bottom. Utilising spatial econometric technique to analyse a new data on labour rights for the period 1994–2009, it finds that labour rights practices are interdependent among economic competitors and experience global deteriorations; whereas labour rights laws remain largely independent due to high policy and reputational costs of lowering them and show more fluctuations.     

Development built on crony capitalism? The case of Dangote Cement

This paper critiques the emergence of Dangote Cement as the dominant player in cement manufacturing in Nigeria. It argues that the changed economic environment General Obasanjo met when he became president of Nigeria for a second time in 1999 made it difficult for him to continue the nationalisation policies and the expansion of government involvement in several spheres of economic activity that he helped to promote in the 1970s. The realisation that this strategy, which created numerous crony capitalists, was unsustainable resulted in Obasanjo allying with Dangote and promulgating the Backward Integration Programme (BIP) for the local cement industry. This made it possible for Dangote to risk aggressive investment in the capital-intensive cement production business. This strategy achieved public good by rapidly making Nigeria, an oil rent- and import-dependent economy with enormous limestone reserves, self-sufficient in cement production.     

Intensive and extensive margins of exports: What can India learn from China?

We decompose India's export performance in manufactured products during 2000–15 into changes at the intensive and extensive margins. India's performance, along different margins, is compared and contrasted with that of China. The results show that while China outperforms India at both the margins, the gap is particularly wide at the intensive margin. Decomposition of intensive margin along quantity and price margins shows that Chinese products are generally sold cheaper than Indian products. Higher price margin, however, has not translated into high intensive margin for India due to its abysmally low quantity margin. We examine different explanations for China's superior performance relative to India, along different margins, using a gravity model. Our results suggest that China's exchange rate policy was not the prime reason for its export success. Neither do we find that FDI inflows were significant in explaining the export performance gap between them. The results show that China's export relationship bias towards high‐income partner countries holds the key in understanding its superior performance. This bias is a natural consequence of China's high degree of specialization in labor‐intensive activities. India, by contrast, due to an idiosyncratic pattern of specialisation, has failed to exploit its export potential in high income countries.