Towards A Common Future Understanding Growth, Sustainability in the Asia-Pacific Region
Arindam Banik, Munim K. Barai& Yasushi Sazuki
About the book
This book focuses on the tremendous shift in both economic growth and development progress taking place towards the Asia-Pacific Region. Each of the countries in the region has various concerns and challenges for its sustainable development, a common goal most of them are trying to achieve at the moment. Interestingly, sustainable development in the region may be critical for achieving sustainable development at the global level as well. With a limited mandate, the book covers some specific developmental issues of ‘the hot spots’ of APR that are regarded to be contributing to their sustainable development. The book also looks at the formation and strengthening of some economic and financial initiatives with the potentials to affect growth and influence economic cooperation and integration of the countries in the region.
Non-coercive influence: Scale development and validation based on resource and relational paradigms
Manit Mishra & Mohua Banerjee
To overcome competition in an increasingly network dependent market, retailers are required to influenceupstream channel partners while sustaining relationships. However, the contemporary supply chain literature has not sufficiently leveraged the resource and relational paradigms to examine influence. Grounded on resource dependency theory and commitment-trust theory paradigms, this study describes conceptualization and operationalization of a 12-item scale for measuring non-coercive influence on upstream channel partners in retail supply chain management (R-SCM) context. The study is based on responses from 547 retail professionals in India obtained over four successive surveys. Psychometric properties were assessed using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). The proposed scale demonstrates construct validity. Invariance-testing carried out over 4-levels of increasingly demanding equivalence confirmed cross-validation. Nomological validity of the scale was tested by evaluating association with suppliers’ intention to cooperate. The results indicate existence of three dimensions of non-coercive influence: collaborative intent, market intelligence dissemination, and operational support. Retailers can use the scale to assess their personnel’s non-coercive influence behavior over suppliers.
Impact of Forced Distribution System of Performance Evaluation on Organizational Citizenship Behaviour
Organization can achieve excellence when employees go beyond the formal job requirements and show organizational citizenship behaviour (OCB). In one study, Moore and Love (2005) pointed out that information technology (IT) professionals are low in OCB. We have observed most of the IT companies using forced distribution system (FDS) of performance evaluation while categorizing their employees. Therefore, in this study, we were curious to investigate whether there is any impact of FDS on employees’ OCB. This study was conducted on 120 managers, and they were divided into two groups: one group was working under FDS of performance evaluation and the other group was not working under FDS of performance evaluation. Control was taken on managers’ age, gender and managerial experience. Our findings reveal that there is a significant impact of FDS of performance evaluation on OCB. As there are some implementation errors in FDS of performance evaluation, if it is adapted without considering the contingency factors, there might be a chance, after a certain period of working, people feels low satisfaction in their job. As a result, this group of people tries to limit themselves only within their formal job requirement and exhibit low OCB.
Doubly inflated Poisson model using Gaussian Copula
Sumen Sen, Pooja Sengupta & Norou Diawara
Multivariate data are present in many research areas. Its analysis is challenging when assumptions of normality are violated and the data are discrete. The Poisson discrete data can be thought of as very common discrete type, but the inflated and the doubly inflated correspondence are gaining popularity (Sengupta, Chaganty, and Sabo 2015; Lee, Jung, and Jin 2009; Agarwal, Gelfand, and Citron-Pousty 2002). Our aim is to build a statistical model that can be tractable and used to estimate the model parameters for the multivariate doubly inflated Poisson. To keep the correlation structure, we incorporate ideas from the copula distributions. A multivariate doubly inflated Poisson distribution using Gaussian copula is introduced. Data simulation and parameter estimation algorithms are also provided. Residual checks are carried out to assess any substantial biases. The model dimensionality has been increased to test the performance of the provided estimation method. All results show high-efficiency and promising outcomes in the modeling of discrete data and particularly the doubly inflated Poisson count type data, under a novel modified algorithm.
Determinants of Corporate Environmental Disclosure from an Asian Perspective
Abhijit Roy & Santanu Kumar Ghosh
The present study attempts to address the inconclusive outcomes of the existing literature on the determinants ofcorporate environmental disclosure. It reports that country level factors like national cultural dimensions, political rights, civil liberties, freedom of expression and the prevailing legal system can explain the corporate environmental disclosure decisions in that particular country. Existing studies on the determinants of corporate environmental disclosure mostly focus on accounting based and stock market based variables at the firm level and report fairly inconclusive outcomes. Literature on the determinants of corporate environmental disclosure using country level variables is limited but more consistent. The country level cultural, political and legal phenomena have good potential for extensive research in explaining corporate governance and corporate social responsibility issues.
Determinants and Efficiency of Stamp Duty Revenue Collection Evidence from West Bengal
Vivekananda Mukherjee & Paramita Mukherjee
The determinants of stamp duty revenue collection (income, tax rate) in West Bengal are studied using a unique panel data set of the state’s 19 districts from 2002–03 to 2010–11. The role of efficiency-improving conditions imposed on stamp duty revenue collection under the Jawaharlal Nehru National Urban Renewal Mission is studied. A LafferCurve relation is found for stamp duty revenue collection. Though revenue collection fell due to the rate cut, there was an efficiency gain because avoidance in the housing market dropped, valuation software was implemented, and the circulation of fake stamp papers was prevented.