Impact of international entry choices on the nature and type of innovation: Evidence from emerging economy firms from the Indian bio-pharmaceutical industry

As emerging economy multinational enterprises (EMNEs) enter foreign countries in search of new markets, seeking to expand their knowledge bases, research on the type and nature of innovation activity is needed to address the impact of EMNEs’ choices related to international expansion. Building on prior literature on entry mode and location choices, as well as on organizational learning, we argue that how and where an EMNE expands internationally will impact the nature of its innovation. We carry out empirical analysis on a sample of 167 Indian bio-pharmaceutical firms for the period from 1997–2017. Our findings suggest that greenfield ventures foster innovation in core technologies, while cross-border mergers and acquisitions (M&As) foster innovation in non-core technologies. In addition, locating subsidiaries in high income countries encourages product innovations, while locating in low income countries encourages process innovations. Our findings contribute to the growing literature on differences in learning outcomes of EMNE internationalization.     

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.     

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.     

Natural resource rents and internal conflicts: Can decentralization lift the curse?

We study how natural resource rents affect the risk of internal conflict within countries and how the federal structure of countries influences this relationship. Natural resource abundance may induce excessive rent-seeking and thus increase the risk of internal conflict. Fiscal and political decentralization as an institutional arrangement for rent-sharing and political codetermination of regions within a country may limit the destructive effect of natural resource rents on internal stability. Using cross-country and panel data from more than 90 countries covering the period 1984–2004, we find evidence that natural resource rents indeed increase the risk of internal conflict, but this relationship is significantly mitigated by political decentralization.     

Identifying Worldviews on Corporate Sustainability: A Content Analysis of Corporate Sustainability Reports

Companies commonly issue sustainability or corporate social responsibility (CSR) reports. This study seeks to understand worldviews of corporate sustainability, or the corporate message conveyed regarding what sustainability or CSR is and how to enact it. Content analysis of corporate sustainability reports is used to position each company report within stages of corporate sustainability. Results reveal that there are multiple coexisting worldviews of corporate sustainability, but the most dominant worldview is focused on the business case for sustainability, a position anchored in the weak sustainability paradigm. We contend that the business case and weak sustainability advanced in corporate sustainability reports and by the Global Reporting Initiative are poor representations of sustainability. Ecological embeddedness, or a locally responsive strategy that is sensitive to local ecosystems, may hold the key to improved ecological sensemaking, which in turn could lead to more mature levels of corporate sustainability worldviews that support strong sustainability and are rooted in environmental science. This must be supported by government regulation. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment     

政府随机审计的动态博弈模型及政策启示

本文在一个三阶段动态博弈框架下，对政府随机审计过程中的政府审计机关与政府审计对象以及国家与政府审计对象之间的动态博弈特征进行了分析。分析结果显示：政府审计机关与政府审计对象之间存在一个纯策略纳什均衡，而国家和政府审计对象之间存在一个混合策略纳什均衡。政府审计对象接受国家实质性审计的概率是政府审计对象被政府机关审计发现违规或不作为后的惩罚倍数的单调递减函数，而政府审计对象的违规或不作为的概率分别是政府审计对象被政府机关审计发现违规或不作为后的惩罚倍数和政府审计对象的应尽义务或责任的单调递减函数，却是政府审计机关审计行为成本的单调递增函数。同时，结合研究结论和中国政府审计全覆盖的现实，给出了一些政策建议。     

Clearinghouse loan certificates as a lender of last resort

Looking across multiple panics of the nineteenth and twentieth centuries, this paper treats borrowing of clearinghouse loan certificates as borrowing from a lender of last resort. We evaluate individual bank use of clearinghouse loan certificates in New York City using bank balance sheet data. Bank capital ratios do not predict positive net borrowing. Lower pre-panic reserve ratios increased the probability of positive net borrowing of loan certificates. Bank borrowing behavior from a lender of last resort remained relatively constant across all three crises considered.     

Incorporating active adjustment into a financing based model of capital structure

The conventional partial adjustment model, which focuses on leverage evolution, has difficulty identifying deliberate capital structure adjustments as it confounds financing decisions with the mechanical autocorrelation of leverage. We propose and estimate a financing-based partial adjustment model that separates the effects of financing decisions on leverage evolution from mechanical evolution. The speed of adjustment (SOA) is firm-specific and stochastic, and active targeting of capital structure has a multiplier effect that depends on the size of financial deficit. Overall, we find expected SOA from active rebalancing (30%) more than doubles what is expected from mechanical mean reversion alone (13%).     

Determinants of the allocative,cost and scope efficiencies of Indian banks

ABSTRACT

This study aims to investigate the impact of competition on determinants of allocative, scope and cost efficiencies of Indian scheduled commercial banks (SCBs). Specifically, the study, analyzes the impact of the second round of licensing on the efficiency of Indian SCBs. This is the first paper to measure scope efficiency of Indian banks and analyze its determinants. A two-stage analysis is performed on a balanced panel dataset of Indian SCBs for the period 1999–2016. In the first stage, the allocative, cost and scope efficiencies for each bank are estimated following the data envelopment analysis approach. In the second stage, internal determinants of the stated efficiency measures are estimated following the system of the generalized method of moments approach. The findings suggest that competition has not resulted in enhancing the efficiency of Indian SCBs. Among factors that can influence efficiency, it is seen that size does matter. Larger banks can enhance the efficiency of SCBs. It is also seen that having more foreign banks improves the overall efficiency of SCBs. However, before embarking on further rounds of licensing, the study posits that market-driven correction to succeed, it is imperative to address sunspots in the form of investor or borrower repression.