Market microstructure in a global B2B network

On‐line marketplaces raise several interesting issues, among them the relevance of location when content is digitized, and the assessment of a supplier's capabilities when buyers worldwide only have electronic contact with sellers. In global B2B on‐line marketplaces, market microstructures, i.e. which firms compete for the same customers, are thus likely to be influenced by how customers value location and firm capabilities in their decisions to do business with different suppliers on‐line. We suggest that both these sets of attributes will continue to matter on‐line—firms possessing similar capabilities, as well as firms that are similar in location by country, time zones or clusters, will compete for business from the same customers. We model the similarity in competitive positions between pairs of firms based on the overlap in their customer networks, using data on actual interactions between supplier and customer banks on an electronic trading system. Using QAP network regression techniques on the 100 largest banks in this industry, we find that similarity in capabilities influences who competes with whom, and that location still matters in a global B2B exchange. Interestingly, location influences who a firm's competitors are, but not where its customers are from. Copyright © 2001 John Wiley & Sons, Ltd.     

Benefiting from network position: firm capabilities,structural holes,and performance

While strategy scholars primarily focus on internal firm capabilities and network scholars typically examine network structure, we posit that firms with superior network structures may be better able to exploit their internal capabilities and thus enhance their performance. We examine how innovative capabilities—both those of focal firms and those they access through their networks—influence the performance of Canadian mutual fund companies. We find that a firm's innovative capabilities and its network structure both enhance firm performance, while the innovativeness of its contacts does not do so directly. Innovative firms that also bridge structural holes get a further performance boost, suggesting that firms need to develop network‐enabled capabilities—capabilities accruing to innovative firms that bridge structural holes. Copyright © 2005 John Wiley & Sons, Ltd.     

Farmers' Preference for Farming: Evidence From a Nationally Representative Farm Survey in India

Using data from a nationally representative farm survey in India, we have analyzed Indian farmers' stated preference for farming as a profession. Findings show that more than 40% of farmers dislike farming as a profession because of low profits, high risk, and lack of social status, yet they continue with it owing to a lack of opportunities outside agriculture. Farmers who express a preference for moving out of agriculture are mostly those with small landholdings, poor irrigation facilities, fewer productive assets including livestock, and follow a cereal‐centric cropping pattern. They also have relatively lower access to credit, insurance, and information, and are weakly integrated with social networks such as self‐help groups and farmers' organizations. Importantly, the disinclination for farming, conditional on other covariates, is not significantly differentiated by caste, an important indicator of social status in rural India. Yet, within a caste group, the dislike for farming moderates with larger landholdings.     

From greening to sustaining: Transformational challenges for the firm – a case study of pollution abatement from tanneries in Kasur,Pakistan

This case study of tanneries in Kasur presents an account of industrial transformation of an agrarian society in a developing country, Pakistan, with its effects, efforts to rehabilitate and the difficulties faced in abatement of pollution. The research attempts to respond to the question of the social and economic cost of achieving pollution abatement in Kasur and develop a viable model. The research methods adopted include reviews of secondary data, personal interview and sample survey of tanneries in the study area. The results reveal how people have grappled with the problem of pollution abatement from the tanneries in Kasur and in creating decisive awareness at the local, national and international levels. The transformation of the city from a commercial centre to a semi-industrial tanning centre has led to a loss of 30% cultivable area due to contamination. It is reported that crop yield has dropped by 50% over the past 10 years. The total loss of agricultural income is estimated to be $450 thousand US per annum. The environmental impact of tanneries is highly pronounced in the urban areas around the leather tanning industrial units. Strong protest by the affected population has to some extent forced industrialists to rehabilitate the environment. NGO and the Government are also contributing to this effort. The case study of Kasur presents an example of the community's efforts to mobilize its local, financial and political resources to overcome the environmental hazards, with the associated problems and dilemmas.     

Bioelectricity in Malaysia: economic feasibility,environmental and deforestation implications

We investigate the economic feasibility of bioelectricity production from biomass in Malaysia and its impact on greenhouse gas (GHG) emissions and storage, agricultural prices, agricultural employment and deforestation. For this purpose, we develop a partial equilibrium model that projects agricultural prices, production, imports, exports, domestic consumption and land use in 5‐year increments between 2015 and 2065. Our results show that by 2030 biomass‐generated electricity can supply 36.5 per cent of the electricity generated in Malaysia, 16 times more than the 2016 electricity supply from biomass. Increased bioelectricity production from biomass will significantly reduce GHG emissions and will help Malaysia meet its commitment in the Paris Agreement to mitigate GHG emission by 45 per cent before 2030. Our modelling shows that biomass‐generated electricity creates a derived demand for waste biomass that expands the area of oil palm plantations. The expansion lowers agricultural prices, boosts agricultural employment and leads to some deforestation as landowners clear rainforest to plant oil palm trees. Nonetheless, the deforestation does not increase GHG emissions since GHG gains from bioelectricity significantly exceed GHG losses from deforestation.     

On uniform convergence of undiscounted optimal programs in the Mitra–Wan forestry model: The strictly concave case

In this paper, we show that the 1986 Mitra–Wan result establishing asymptotic convergence of maximal programs to the unique golden-rule forest in the case of undiscounted, strictly concave felicity functions can be strengthened, in the same setting, to the  uniform  asymptotic convergence of  optimal  programs to the unique golden-rule forest. We work with a notationally reformulated version of the model that may have independent interest.     

Optimum allocation in Bayesian stratified two-phase sampling when there arem-attributes

The problem of optimally allocating a sample amongk-strata at the second phase of a two-phase sampling procedure when the sampling is for proportion has been discussed byNewbold [1971] and then by the author [Khan, 1972].This paper deals with optimum allocation of the sample amongk-strata at the second phase of a two-phase sampling procedure, when the sampling is form-attributes. The problem is to estimate the proportion of each attribute in the population. Here (m–1) dimensional Dirichlet distribution is taken as the prior distribution.     

Has Adoption of IFRS Increased Non–North American Institutional Investment in the Canadian Stock Markets?

We investigate whether non–North American (non‐NA) institutional investment in firms listed on the Canadian stock markets increased between the pre‐ and post‐IFRS adoption periods relative to such investment in firms listed on the U.S. stock markets. Prior to IFRS adoption, Canada had high‐quality financial reporting standards that were similar to the U.S. standards. As consequences of IFRS adoption, Canadian financial statements became more comparable with European and other IFRS country financial statements and less comparable with neighboring U.S. financial statements. Thus, a question of interest is whether the enhanced comparability with non‐NA companies was beneficial in terms of attracting non‐NA investment to Canadian companies versus U.S. companies. We find that there was no significant change in non‐NA institutional investment in Canadian firms relative to U.S. firms for the very largest (fifth quintile) and for smaller (first, second, and third quintiles) Canadian companies. However, intermediate‐sized Canadian companies in the fourth size quintile lost non‐NA institutional investment relative to their U.S. peer companies, suggesting that non‐NA investors cared more about comparability with U.S. peer companies than non‐NA peer companies for companies in this size quintile.     

Can innovation shocks determine CO2 emissions (CO2e) in the OECD economies? A new perspective

ABSTRACT

This study has attempted to address prior knowledge gaps in the environmental economics literature by integrating the innovation shocks into the Environment Kuznets Curve (EKC) equation for twenty-six OECD economies using data from 1990 to 2014. Foreign direct investment (FDI), exports (EXP), renewable energy consumption (REC), and GDP per capita were included as control variables. The results from multiple empirical analyses indicated that positive shocks to innovation improve, but the negative shocks disrupt environmental quality. Data analyses also showed that a positive correlation exists between income per capita of OECD economies. From the negative coefficient of income per capita (squared) and the existence of a negative nexus between FDI and CO2e, both the EKC and the Pollution Halo Hypothesis (PHH) were confirmed in sampled economies, respectively. The paper offers empirical support for the favourable impacts of REC on the quality of the environment and calls for the adoption of innovation shocks as a policy instrument to formulate better environmental policies for a sustainable future.     

Building relationship innovation in global collaborative partnerships: big data analytics and traditional organizational powers

This study examines how relationship innovation can be developed in global collaborative partnerships (alliances, joint ventures, mergers, and acquisitions). The recently emerging theory of big data analytics linked with traditional organizational powers has attracted a growing interest, but surprisingly little research has been devoted to this important and complex topic. Therefore, after developing the theoretical foundations, our study empirically quantifies the links between the theoretical constructs based on the data collected from chief executive officers, managing directors, and heads of departments who work in contemporary global data‐and‐information driven collaborative partnerships. The results from structural equation modeling indicate that the relationship innovation depends on the power of big data analytics and non‐mediated powers (NMP, expert and referent). The power of big data analytics also mediates the correlation between NMP and relationship innovation. However, mediated powers (coercive and manipulative) negatively affect the power of big data analytics and relationship innovation. The interaction effects further depict that analytically powered partnerships have better relationship innovation compared with those which focus less on the analytical power. Consequently, the contributions of this study provide a deeper understanding of mechanisms of how modern collaborative partnerships can use big data analytics and traditional organizational powers to co‐create relationship innovation.