Determinants of holistic passenger experience in public transportation: Scale development and validation

Transportation literature is shifting its focus from passengers’ perception of transit quality to understanding passenger experience from a holistic perspective. Few studies have investigated passenger experience factors from a holistic perspective; however, they are explored independently. A holistic approach can help the transport service providers to understand the complete journey of the passenger. This study proposes the concept of holistic passenger experience (HPX) and identifies the determinants of HPX in the context of public transportation with specific reference to Indian Railways. The study develops a comprehensive scale that measures the influence of these determinants on HPX to address this gap. Following a systematic scale development process, this study identified and validated (content, construct, convergent, and discriminant validity) a seven factor structure scale that determines HPX. Of these seven factors, four factors (vehicle maintenance, comfort & security, off board service, and travel information) constitute the core services offered by the transport service provider. Interestingly these four factors can be effectively managed by the service provider. The other three factors (social environment, supporting services, and accessibility) cannot be entirely managed by the transport service provider effectively, as these factors fall beyond the scope of the service provider.Nomological validity results are explained by constructing a matrix (holistic passenger experience Matrix) which reveals that most of the constructs that are can be managed by the transport service provider can be mapped to the cognitive component of customer experience, whereas most of the factors which go beyond the scope of the transport service provider could be mapped to the emotional component of customer experience. The findings can assist the transport sector executives to identify the key determinants to deliver superior passenger experiences throughout the journey.     

Progress in indicators to assess agricultural landscape valuation: how and what is measured at different levels of governance

Landscape is defined by the European Landscape Convention as “an area perceived by people, whose character is the result of the action and interaction of natural and/or human factors”. Many efforts have been devoted in addressing the core concepts on which this definition roots: perception and interaction of men and nature, but when coming to large (continental) scale assessments, the latter prevail on the former.This paper aims at presenting a framework for a measurable landscape awareness indicator as a key link to the public demand for a specific type of landscape: the agricultural landscape. This is a necessary effort to complement more physically based assessments, which include as well the impact of human activities on landscapes.The analysis is carried out at different levels of governance: EU and regional, using an example from the Alentejo region in Portugal and EU wide databases, and addresses conceptual and practical questions: what type of societal landscape awareness can be monitored and by whom (e.g., individuals, specific social groups, society as a whole); what are the landscape dimensions that should be assessed; what are the limitations imposed by data-related constraints. By applying the methodology to build composite indicators to map landscape societal awareness, the paper shows the regional and local meaning of indicator approaches developed at European level, presents developments for downscaling to regional level, while introducing the social component to support sound policy development for European rural landscapes.     

Analysing the provision of agricultural public goods: The case of irrigated olive groves in Southern Spain

Analysis of the joint production of private and public goods (PGs) by farming activities is a fertile research field. These joint production processes are typically characterised by a high level of complexity derived from the intense relationship between the production of both kinds of outputs. An integrated approach is strongly recommended for the study of the provision of agricultural PGs and the design of public intervention in this sector. Here, we propose a theoretical framework to apply an integrated approach using the analytic network process (ANP) to analyse the production of PGs by agricultural systems to support public decision-making concerning the design and implementation of agricultural policies. We introduce a novel approach in applying ANP along both directions of the influences among elements, allowing us to identify the most influenced PGs and the farmers’ most influential decisions. This methodological approach is empirically applied to a particular farming system: the irrigated olive groves (IOG) of Southern Spain. Results show that the PGs most influenced by olive growers’ decisions are soil fertility, the visual quality of agricultural landscapes and farmland biodiversity. In addition, the most influential factors affecting the provision of PGs are the structural ones, namely farm size and tree density, and, to a lesser extent, management factors dealing with fertilisation, soil and irrigation management. These results are useful for supporting agricultural policy decision-making to enhance adequate management of this farming system regarding PGs production.     

Warlords,famine and food aid: Who fights,who starves?

We examine the effects of famine relief efforts (food aid) in regions undergoing civil war. In our model, warlords seize a fraction of all aid. They hire their troops within a population with varied productivities or skills. We determine the equilibrium distribution of labor in this environment and study how the existence and allocation strategies of a benevolent food aid agency affect this equilibrium. Our model allows us to predict who will be recruited, who will receive aid, and who will die of famine in every circumstance.     

Wheat variety yield data: Do commercial and public performance tests provide the same information?

Wheat yields from reported performance test results are of economic importance to wheat producers, since their profits depend on selecting the optimal variety for their location. However, our data shows differences in absolute and relative wheat yields between commercial and public wheat breeding program's performance test data in Kansas. Newly available data are used to test if the difference in yields arose from potential selectivity bias, and to determine the contribution of private and public wheat breeding programs to varietal yield improvement during 2007–2012. Both Heckman selection models and multiple regression showed no statistical evidence of the potential presence of selectivity bias rather, managerial practices, agronomic conditions, field location, and inherent genetic traits of the seed variety were identify as the source of yield differences.     

Scenario projects in Japanese government: Strategic approaches for overcoming psychological and institutional barriers

Scenario planning in the public sector has significant differences from scenario planning in the corporate world. Scenario planning in the government not only tends to be focused on issues of higher complexity and significance to public policy, but also in comparison to people in the private business, public officials have fundamental psychological and institutional constraints in their scenario thinking. These constraints make it difficult for them to contemplate multiple ‘untidy’ futures and imagine the possibility of policy failure: skills which are essential for successful scenario projects. Based on specific characteristics of scenario planning in the Japanese government, this paper contributes on better understanding the challenges and strategic solutions in providing more successful scenario planning in the public sector. Specifically, this paper argues that possible solutions in overcoming these constraints may be to shake public bureaucrats out of their thinking by providing free and open venues of conversation and more importantly through ‘derailment’ exercises.     

The relevance of commuting zones for regional spending efficiency

We use data envelopment analysis (DEA) efficiency scores to show that clustering municipalities into encompassing regional clusters improves spending efficiency of single stand-alone municipalities. We propose a new geographic aggregation based on municipalities-to-municipalities commuting flows, defined using hierarchical cluster analysis. Our example for Portugal shows that from an output-oriented perspective between 83% and 98% of municipalities would increase their efficiency scores, while from an input-oriented perspective between 86% and 98% of municipalities would also be better off in terms of efficiency. Then using a linear regression model, we find that population increases positively affects the efficient scores (via scale economies). Also, increases in the share of high-educated and poorer residents leads to higher efficiency scores.     

Trading volume and stock returns: A meta-analysis

I examine 468 estimates on the relationship between trading volume and stock returns reported in 44 studies. I study publication bias together with Bayesian and frequentist model averaging to explain the heterogeneity in the estimates. The results yield three key conclusions. First, publication bias distorts the findings of the primary studies. Second, the predictability of stock returns varies with different markets and stock types. Third, different data characteristics, structural variations and methodologies used drive the heterogeneity in the results of the primary articles. In particular, one should be cautious when using monthly data or VAR models.     

“Money can’t buy me land”: Foreign land ownership regime and public opinion in a transition society

In recent years, as part of the broader policies of economic liberalization, the sale of agricultural land to foreign citizens has attracted considerable political, social and media attention in transition societies. The regime of land ownership in Georgia has evolved from the complete restriction of foreign acquisition in the beginning of the 1990s, to the unrestricted sale of land to foreign citizens from 2010 onwards. An analysis of newly-available data from International Social Survey Programme’s (ISSP) National Identity module suggests that respondents in Georgia, along with Russia, hold the most negative attitudes toward selling land to foreigners compared to other countries. I hypothesize that this is the result of a confluence of factors such as the communist legacy, historical memory, rural nationalism, agricultural underdevelopment and inequality. The quantitative part of this article tests socio-demographic, geographic, ideological, and identity-based explanations of within-country variation in attitudes toward the purchase of land by foreigners. The results suggest that socio-demographic and geographic variables such as respondents’ age and regional belonging explain some variance in the dependent variable, but that the major effects stem from individuals’ perceptions of economic protectionism, xenophobia, and ethnic national identity.     

企业家社会责任行为方式创新对其形象评价的影响机制研究

运用扎根理论探究了企业家创新性社会责任行为的特征及作用机制。基于扎根理论，就企业家微公益行为对其形象评价的影响机制进行了探索性研究。通过深度访谈与二手数据的扎根分析，提出了企业家微公益行为对其形象评价影响的理论框架：企业家微公益行为具有权威性、互动性与多样性，会通过情感和认知两大层面来获取消费者认同感，并影响消费者对企业家微公益行为动机的感知，进而影响其形象评价。该研究是对企业家社会责任理论的有益拓展，同时为希望通过社交网络进行公益活动的企业家提供了实践参考。