Correction to: Determinants of agricultural entrepreneurship: a GEM data based study

International Entrepreneurship and Management Journal - The original article has been corrected. The spelling of author name Amit Kumar Dviwedi was incorrect and has now been corrected to Amit...     

How should Central Banks Respond to Non-neutral Inflation Expectations?

This paper investigates the net real inflation effect on output in ten countries, comprising both advanced and developing countries. An indicator is introduced to compute the net inflation effect on output (NIEO) based on the difference between two concepts of core inflation, where both are computed using the decomposition of VAR residuals. We find that for all countries, when inflation is increasing the NIEO is significantly positive and is negative during periods of decreasing inflation. Typically, countries which follow anti-inflationary policies if the NIEO is of small magnitude suffer relatively minimal damage in output, whereas if the same policies are undertaken when the NIEO is large the damaging effects on output could be much greater. This suggests that the NIEO could be a useful indicator of the likely effects of policy, especially for countries which have frequent episodes of high inflation, and in those countries which employ inflation-targeting policy, as the timing of monetary policy actions could be optimized to take account of this real effect of inflation.     

Virality of Social Change Messages on Facebook: A Study of Advocacy and Relationship Building Strategies of LGBTQ Advocacy Organizations

ABSTRACT

The communicative affordances of Facebook transformed the way nonprofit organizations communicate with publics. However, the connection between advocacy and virality received limited scholarly scrutiny. This study extends our knowledge of advocacy by examining the relationships between advocacy strategies, tactics, and virality. For this study, Facebook posts of LGBTQ advocacy organizations from January 2016 to December 2018 were collected. Content analysis of 1,500 Facebook posts revealed advocacy and relationship building strategies of LGBTQ nonprofit organizations. MANOVA analyses signaled that advocacy strategies and tactics are significant predictors for virality. Furthermore, LGBTQ advocacy organizations predominately utilized affective and cohesive social presence strategies on Facebook to build relationships with publics.     

A ROle-Oriented Filtering (ROOF) approach for collaborative recommendation

In collaborative filtering (CF) recommender systems, existing techniques frequently focus on determining similarities among users’ historical interests. This generally refers to situations in which each user normally plays a single role and his/her taste remains consistent over the long term. However, we note that existing techniques have not been significantly employed in a role-oriented context. This is especially so in situations where users may change their roles over time or play multiple roles simultaneously, while still expecting to access relevant information resources accordingly. Such systems include enterprise architecture management systems, e-commerce sites or journal management systems. In scenarios involving existing techniques, each user needs to build up very different profiles (preferences and interests) based on multiple roles which change over time. Should this not occur to a satisfactory degree, their previous information will either be lost or not utilised at all. To limit the occurrence of such issues, we propose a ROle-Oriented Filtering (ROOF) approach focusing on the manner in which multiple user profiles are obtained and maintained over time. We conducted a number of experiments using an enterprise architecture management scenario. In so doing, we observed that the ROOF approach performs better in comparison with other existing collaborative filtering-based techniques.     

Determinants of agricultural entrepreneurship: a GEM data based study

The aim of this study is to explain the determinants of entrepreneurship in agriculture industry. What are the drivers of early stage entrepreneurial activity of agri-business entrepreneur and how it is influenced by various cognitive and social capital factors? To answers these questions various driving factors of entrepreneurial activity have been explored from the literature. To achieve the objective, the study uses APS (Adult Population Survey) 2013 data of 69 countries provided by GEM (Global Entrepreneurship Monitor). Total number of respondents 1470, those who are alone or with others, currently trying to start a new business, including any self-employment or selling any goods or services to others in Agriculture Industry, were selected from the data set. To measure the influence of cognitive and social capital factors on early stage entrepreneurial activity logistic regression was employed. The findings show that those who see entrepreneurial opportunities, are confident in their own skills and ability, having personal relationship or social networks with existing entrepreneurs, and have invested in others business as business angels are more likely to become an entrepreneur. Additionally, fear of failure or risk perception does not prevent people to become entrepreneur. Policy implications have been discussed. This is one the first study of its kind and contributes to the existing literature by explaining agricultural entrepreneurship through an integrated approach of entrepreneurial cognition and social networking.

     

Modeling Marketing Dynamics by Time Series Econometrics

This paper argues that time-series econometrics provides valuable tools and opens exciting research opportunities to marketing researchers. It allows marketing researchers to advance traditional modeling and estimation approaches by incorporating dynamic processes to answer new important research questions. The authors discuss the challenges facing time-series modelers in marketing, provide an overview of recent methodological developments and several applications, and highlight fruitful areas for future research. This discussion is based on the First Annual Conference on Modeling Marketing Dynamics by Time Series Econometrics at the Tuck School of Business at Dartmouth, Hanover, New Hampshire, USA on September 16–17, 2004.Insights from the First Annual Conference, Tuck School of Business at DartmouthThis revised version was published online in May 2005 with a corrected cover date.     

Price expectations of sheep and goats by producers and intermediaries in Quetta market,Pakistan

Analysis of producers' and intermediaries' livestock price expectations was used to describe the market in Quetta, the largest livestock market in the highlands of Balochistan Province, Pakistan, and to identify factors that determine price expectations of small ruminants. A total of 4800 expected prices for sheep and goats were collected from producers and market intermediaries at monthly intervals between January 1991 and December 1992. In addition to the expected price of the animal, liveweight, species, sex, breed, body condition (fatness), calendar day and month were recorded, and whether data were collected on a meat or meatless day. Monthly rainfall data were also collected. Models of goat and sheep price expectations were built to compare the similarity of the behaviour of producers and intermediaries. Results indicated that producers and intermediaries expected high prices from November to January and during religious holidays. They expected premiums and discounts related to animals' attributes. Liveweight and seasonality had the strongest effect on prices. Rainfall in the current and previous month was positively related to seller's expected prices suggesting that livestock are retained to take advantage of favourable grazing conditions. The models of price expectations showed that producers adjusted expected goat prices (P ≤ 0.10) for seasonality, liveweight, body condition, age, sex and breed, while they adjusted sheep prices for seasonality and liveweight only. High pay-offs could be expected if extension efforts focused on factors that determine sheep meat quality; however, the retail ceiling price of meat and the lack of grading are a disincentive to work in this direction. Seasonality of supply and demand is important in determining prices and this study provides baseline information for market scheduling; however, scheduling of sales of transhumant pastoralists may be difficult to achieve. Further investigation is justified to understand the gap in marketing knowledge between producers who sell in the villages and those who sell in Quetta.     

Household bargaining over fertility: Theory and evidence from Malaysia

We develop and test a model of household bargaining over fertility when transfers between spouses are possible. The model makes precise how the fertility preferences of each spouse translate into fertility outcomes. We show this depends on whether or not spouses can commit to their future actions within marriage. If couples bargain with commitment, fertility outcomes take account of both spouses' fertility preferences and do not depend on the threat point in marital bargaining. If couples bargain without commitment, the influence of each spouse's fertility preference on fertility outcomes depends on the relevant threat point in marital bargaining, and the distribution of bargaining power. We test the models using household data from the Malaysia Family Life Survey. This data set contains information on each spouse's desired fertility level, as well as fertility outcomes. We exploit differences in threat points in marital bargaining across ethnic groups to help identify the underlying bargaining model. The evidence suggests couples bargain without commitment.     

Cognitive and Non-Cognitive Impacts of High-Ability Peers in Early Years*

The sorting of students into ability groups is one of the most common, controversial and long-examined educational practices. Ability grouping also mechanically changes peer groups. We provide novel evidence on the cognitive and non-cognitive impacts in early years, of being exposed to higher-ability classroom peers through being assigned to the top within-class ability group. We exploit panel data from the UK Millennium Cohort Study, which allows us to construct trajectories of the cognitive and non-cognitive development of children from birth to entry into primary school. The data also record school grouping policies and the specific within-class group assignment of each child, by subject. We combine these rich data with an instrumental variable design using child-level variation in group assignment due to month of birth, in order to measure the local average treatment effect (LATE) of being assigned to the highest-ability peer group. We find that if a marginal student is assigned higher-ability peers, this significantly reduces their cognitive achievement in mathematics, and has no impact on literacy. There are countervailing impacts on non-cognitive outcomes for the marginal student assigned higher-ability peers: although they are more motivated to study and parents respond with an improved home learning environment, these children have more study-related difficulties and their relations with their peers significantly worsen. These findings have important policy implications for the use and design of within-class ability grouping in early years.