The evaluation of the long-term economic development of the Irkutsk region in the system of the all-Russian forecasting

The long-term forecasting of the development of the Irkutsk region by economic sectors is considered. The evaluations of the structural changes and the interregional relationships by the variants of the potential trends of development of the economy of Siberia and Russia in a whole are presented. The forecast is made by the production output data, which are the basis of the target growth of the final consumption.     

Is fertiliser use inconsistent with expected profit maximization in sub‐Saharan Africa? “Evidence from Nigeria”

This article revisits a conventional wisdom that inorganic fertiliser use across sub‐Saharan Africa is too low. This expectation that more farmers should be using inorganic fertiliser, and at higher rates, implies it is profitable to use rates higher than observed if farmers are rational expected profit maximisers. We obtain consistent estimates of the effects of applied nitrogen on rice production. We find the yield response to applied nitrogen to be low in the main rice growing farming system. Farmer behaviour is not inconsistent with expected profitability which is limited by a low yield response to applied fertiliser, high transportation costs, and low selling prices for rice in rural areas. In particular, we do not find any farmers for whom applied nitrogen is profitable that are not using fertiliser in the study sample for each of our survey years (2010 and 2012).     

Sustainable Entrepreneurship and B Corps

Sustainable entrepreneurship contributes to solving social and environmental problems through the means of successful for‐profit businesses. This paper contributes to understanding how sustainable entrepreneurship is implemented by exploring an emerging new form of business, ‘B Corps’, that employs market tactics to address social and environmental issues. Through interviewing 14 B Corps, the exploratory research study found that B Corps treat profit as a means to achieve positive societal ends, they regard the B Corp model as a tool for change, the B Corp model provides a common collective identity for internal and external validation, they are focused on societal impact rather than maximizing profits and they attempt to legitimate this form of sustainable entrepreneurship by influencing the business community and government officials. Copyright © 2016 John Wiley & Sons, Ltd and ERP Environment     

Analysis of the status and trends of applications of advanced manufacturing technologies in Russia

The article has analyzed trends in applying advanced manufacturing technologies in Russia in 2005–2014. The dynamics of technical process structures in the context of applications has been considered. The dynamics of the age structure and the structure of technologies in use in annual terms by the place of acquiring has been assessed. The start-up, availability, and removal balance of technologies has been formed, the effective start-up level, and possible ways to improve the state statistical indicators of innovation development have been determined.     

Managerial Commitment to Sustainable Supply Chain Management Projects

Most companies are under pressure to improve the environmental sustainability of their supply chains. However, there is considerable variance in companies' ability to successfully deploy environmental management projects. One important factor, according to articles in the academic and business press, is the ability of champions of sustainable supply chain management (SCM) projects within organizations to gain the commitment of colleagues (e.g., other managers from a variety of functions) to help these projects succeed. Therefore, this paper examines variables that affect a project champion's ability to gain this commitment from colleagues. In particular, building on existing research, this research employs a video‐based experimental design to examine the effect of the influence approach that the project champion employs, the values of the person the champion is trying to influence, and the organizational climate. The results suggest that organizational climate and certain individual values directly affect commitment. There are also interactions between values and influence tactics. The research adds to the field's growing knowledge on the antecedents of sustainable SCM within companies while providing valuable guidance for environmental champions and for top managers.     

Training professionals' usage and understanding of Kirkpatrick's Level 3 and Level 4 evaluations

Training professionals have long acknowledged the necessity of conducting behavior‐based (Level 3) and results‐based (Level 4) evaluations, yet organizations do not frequently conduct such evaluations. This research examined training professionals' perceptions of the utility of Level 3 and Level 4 evaluations and the factors that facilitate or obstruct their attempts to perform them. The research was conducted using Brinkerhoff's Success Case Method and Gilbert's Behavior Engineering Model as its frameworks. The three key factors identified by study participants as having an impact upon their ability to conduct Level 3 and Level 4 evaluations were the availability of resources such as time and personnel, managerial support (organizational) and expertise in evaluative methodology (individual). The research findings indicated a need to further explore how training professionals interpret Level 3 and Level 4 and how they can better develop their evaluative expertise, which in turn may increase effectiveness in gaining organizational support for evaluation efforts.     

Do economic statistics contain information to predict stock indexes futures prices and returns? Evidence from Asian equity futures markets

This research examines the impact of local and international market factors on the pricing of stock indexes futures in East Asian countries. The purpose of this paper is to present a study of the significant factors that determine the major stock indexes futures’ prices of Hong Kong, Malaysia, Singapore, South Korea and Taiwan. This study first investigates the relationships between Hang Seng Index Futures, KLCI Futures, SiMSCI Futures, KOSPI Futures, Taiwan Exchange Index Futures and local interest rates, dividend yields, local exchange rates, overnight S&P500 index and a newly constructed index, Asian Tigers Malaysia Index (ATMI). 11 years historical data of stock indexes futures and the economic statistics are studied; 10 years in-sample data are used for testing and developing the pricing models, and 1 year out-of-sample data is used for the purpose of verifying the predicted values of the stock indexes futures. Using simple linear regressions, local interest rates, dividend yields, exchange rates, overnight S&P500 and ATMI are found to have significant impact on these futures contracts. In this research, the next period close is predicted using simple linear regression and non-linear artificial neural network (ANN). An examination of the prediction results using nonlinear autoregressive ANN with exogenous inputs (NARX) shows significant abnormal returns above the passive threshold buy and hold market returns and also above the profits of simple linear regression (SLR). The empirical evidence of this research suggests that economic statistics contain information which can be extracted using a hybrid SLR and NARX trading model to predict futures prices with some degree of confidence for a year forward. This justifies further research and development of pricing models using fundamentally significant economic determinants to predict futures prices.

     

Sustainability of fish pond culture in rural farming systems of Central and Western Cameroon

In Sub-Saharan Africa, fish ponds are often an integral part of farming systems but have suffered from a lack of viability and sustainability. The present study aims to understand the strategies used by fish farmers to overcome economic and environmental constraints. In 2008 and 2009, fish farmers were surveyed in Central and Western Cameroon, and the fish production systems were classified by cluster analysis. Four broad types were identified according to the complexity of household operations. The development of extensive systems (large-scale and low-input) in rural areas of central Cameroon is induced mainly by abundant available land. For semi-intensive systems in both regions (small-scale and high-input in the Western Region, large-scale and high-input in peri-urban areas of the Central Region), horizontal integration is not sufficient to make fish production profitable and sustainable. More intensive fish farms tend towards vertical integration, in which farmers establish close links with input suppliers. Main causes of low productivity of semi-intensive systems (1–2?t/ha/yr) are both lack of knowledge of fish farming principles by farmers and lack of technical improvement by extension agents and researchers which need to consider the local complexity of farming systems to develop and intensify fish production. The adaptation of development strategies to socio-economic and environmental contexts is a necessity to hope for an increase in fish pond aquaculture production in Africa.     

Workload control under continuous order release

Workload control is a production planning and control concept specifically designed for complex manufacturing environments. Past research on Workload control has been essentially focused on discrete order release. This means that release of orders to the shop floor takes places on a periodic basis. Continuous order release has been somehow neglected, in spite of its apparent potential for improving system performance, including the reduction of order flow times. This paper presents a simulation study of this order release approach. The study contributes for improving the basis for setting workload norms, selecting the workload control strategy and deciding upon routing alternatives under continuous order release.