Industrial distributors: Can they survive in the new economy?

As e-commerce evolves and gains power in the business-to-business (B2B) marketplace, what lies ahead for the industrial distributor? The fundamental issue from the distributor's point of view is how to compete more effectively and profitably, given the changing business environment of the new economy. This paper reviews the literature on the distributor's role and relationships and introduces a conceptual model of distributor viability. The model identifies sources of value that distributors offer to manufacturers and customers, including customer relationship management (CRM), production and operations management (POM), and knowledge management (KM). The paper explores the managerial implications of distributor relationships and sources of value. This provides the foundation for better understanding of the viability of industrial distributors in the new economy.     

Use of the written contract in long-lasting business relationships

While contracts are signed in most business dealings, they are seldom used. These contracts are drawn up for different purposes: as a communication tool, to reduce uncertainty, or simply because it is customary. This study investigates how contracts are used in long-lasting business relationships and what factors influence the use of contracts. A number of studies claim that the negotiation process and the relationships developed during that process influence the subsequent use of contracts. In many cases, parties conduct business without contracts as they develop trust-based relationships. A conceptual framework is developed, which is then used to analyze three in-depth case studies. Findings show that the contract itself, rather than the negotiation process, has the greatest influence on how the contract is used.     

Sales force technology usage—reasons, barriers, and support: An exploratory investigation

Increasingly, salespeople are being asked to adopt and use a variety of technologies to increase their selling productivity and efficiency, including sales force automation and customer relationship management technologies. However, little research has investigated what happens once sales force automation (SFA) technology is adopted. This paper explores the reasons why salespeople use SFA technologies, the perceived barriers to SFA usage and how management can increase the usage of SFA technology. First, a qualitative study was performed to gain insight about salespeople's automation technology usage and the reasons why some salespeople fully use or do not utilize technology. After the initial study, 130 salespeople were surveyed. More productivity/efficiency was the main reason why salespeople use technology, the lack of management and technical support proved to be the main barrier to usage, and training proved most effective in increasing usage of SFA technology. Sales managers are provided with implications of the findings.     

Expected exponential utility maximization of insurers with a Linear Gaussian stochastic factor model

In this paper, we consider the problem of optimal investment by an insurer. The wealth of the insurer is described by a Cramér–Lundberg process. The insurer invests in a market consisting of a bank account and m risky assets. The mean returns and volatilities of the risky assets depend linearly on economic factors that are formulated as the solutions of linear stochastic differential equations. Moreover, the insurer preferences are exponential. With this setting, a Hamilton–Jacobi–Bellman equation that is derived via a dynamic programming approach has an explicit solution found by solving the matrix Riccati equation. Hence, the optimal strategy can be constructed explicitly. Finally, we present some numerical results related to the value function and the ruin probability using the optimal strategy.     

“营改增”影响地方政府税收努力研究

基于随机前沿分析法（SFA）测算2011-2015年我国地方政府税收努力程度,并运用双重差分法考察“营改增”对地方征税行为的影响。研究发现：“营改增”将地方税（营业税）变为共享税（增值税）,显著降低了地方政府税收努力程度;改革对税收努力的冲击受经济发展水平、转移支付额度和税收返还的影响,获取转移支付收入和税收返还越多的地区税收努力下降速度越快。后“营改增”时期,如何提高税收效率,缓解地方财政收入对转移支付和债务收入的依赖性,是理顺中央和地方财税关系,完善财税收入体系的重要问题。     

Ownership concentration and bank risk: international study on acquisitions

This paper explores the effects of different types of bank ownership concentration on changes in bank risk during acquisition years. Using multi-country data from 2000 to 2006, during which market failures caused by various crises and government interventions are less influential to acquisition decisions, we collect 505 banking acquisition deals from 23 countries to examine which type of ownership concentration (such as financial intermediary, capital investor, non-financial, and state ownership) brings larger changes to an acquirer’s risk from pre-acquisition year to post-acquisition year (including non-performing loans, capital adequacy ratio, loan loss reserve, and credit rating). The empirical analyses show that acquirer banks with a concentration of shares owned by financial intermediaries and non-financial firms experience larger risk changes during acquisition years. In contrast, the risk changes of acquirer banks with a concentration of capital investors and state ownership are lower. Robustness checks from the random effect estimation, instrumental variables model, reverse causality, and different subsamples of (non-)U.S. or different levels of regulation enforcement confirm these results.     

Optimal pair-trading strategy over long/short/square positions—empirical study

Suzuki [Automatica, 2016, 67, 33–45] solves the optimal, finitely iterative, three-regime switching problem for investing in a mean-reverting asset that follows an Ornstein–Uhlenbeck price process and find explicit solutions. The remarkable feature of this model is that the investor can explicitly take either a long, short or square position and can switch the position, with transaction costs, during the investment period. We run empirical simulations of such multiple-regime switching models. There are very few such attempts in the existing literature because it is difficult to find, first, an explicit solution to the problem and second, appropriate financial assets that follow the artificial stochastic process required by the mathematical model. According to the Monte Carlo simulations of the optimal pair-trading strategy, the mean daily Sharp ratio is more than 2.3, whereas the mean Sharp ratio for the historical simulation of the ‘stub’ pairs (combinations of parent/subsidiary companies) is 0.6886. We believe that the results obtained from performing the empirical simulations are remarkable and consider that the optimal switching strategy of the rigorous mathematical model is applicable to businesses in the real world. For the reference many pseudo-program codes are added, which can help to replicate the optimal trading strategies.     

Globalization and Outward Foreign Direct Investment

While recent research into foreign direct investment (FDI) has focused on examining the importance of institutions, corruption, money laundering, and tax havens, the role of globalization on FDI has not yet been explored. This research investigates the impacts of globalization on outward FDI. We find that both overall globalization and its economic and social dimensions significantly positively influence outward FDI flows. We also demonstrate that beyond the level of globalization, corruption, money laundering, and the status of a country as a tax haven, cross-country similarity also plays an important role. Accordingly, policies specifically designed to increase the transparency of outward FDI flows should be required to address money laundering and the existence of tax havens.     

Fair value disclosures and crash risk

In response to the public criticism of the inadequate disclosures mandated by SFAS No. 157, Fair Value Measurements, the FASB issued ASU (Accounting Standards Update) 2010–06, Improving Disclosures about Fair Value Measurements, and ASU 2011–04, Amendments to Achieve Common Fair Value Measurement and Disclosure Requirements, in an effort to increase the reporting transparency. We examine whether the increased fair value disclosures required by these two updates effectively decrease crash risk, defined as the frequency of extreme negative stock returns. In support of the hypothesis, we find that increased transparency from these updates reduces crash risk among U.S. banking firms and that the reduction is greater in banks that have a higher level of Level 3 financial assets.     

Energy and CO2 emission relationships in the NAFTA trading bloc: a multi-regional multi-factor energy input–output approach

The North-America Free Trade Agreement (NAFTA) has brought together the economies of Canada, Mexico, and the US into forming one of the largest trading blocs worldwide (within the top CO₂ emitters). However, the current global protectionist discourse threatens the agreement. This paper analyzes the energy and energy-related CO₂ emission relationships between NAFTA countries in 2014 to gain insights into the climate change implications of current integration and the possible cancelation of the agreement. The analysis is performed with a multi-regional version of the multi-factor energy input–output model. The results show that NAFTA has not built a single integrated energy system, though it has helped reduce energy-related CO₂ emissions. Moreover, if NAFTA is not revoked, further integration would depend on the capacity of the Mexican energy sector to converge to the performance of its trade partners’ energy sectors. Conversely, a broken deal would induce negative environmental externalities.