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The purpose of this paper is to examine the connections of agricultural productivity, access to credit and farm size in Africa using Ghana as a case study.

The paper employs mixed methods – quantitative and qualitative strategies for data collection and analyses. The hierarchical competitive model was used for the quantitative analyses supplemented with qualitative analyses using key informant interviews, focus group discussions and household case studies.

The results show that there is significant relationship between credit from formal and informal sources and agricultural productivity. Thus access to formal and informal credit increases farm household agricultural productivity by about 0.10 (p=0.05) and 0.45 (p < 0.01), respectively. The quadratic terms of formal and informal credit as well as farm size were found to significantly influence agricultural productivity. The implication of this is that the relationships between formal credit, informal credit and farm size on one hand and agricultural productivity on the other are non-linear in nature. The interactions of formal credit with informal credit; informal credit with farm size; and formal and informal credit with farm size have significant relationships with agricultural productivity. The amount of remittance received by farm households has negative and insignificant influence on agricultural productivity. Market access is also an insignificant determinant of agricultural productivity in Ghana.

This paper provides new insights on whether the scale of production (farm size as proxy) and access to financial services (credit as a proxy) matter in promoting agricultural productivity in Africa using Ghana as a case study. Thus the paper is of relevance to policy-makers and practitioners in Africa and Ghana in particular who are seeking to make informed policy decisions on effectively incorporating credit provision into the agricultural transformation agenda of the continent.

A Crown Court hearing of a charge of applying a false A description under S.2, Trade Descriptions Act, 1968, is given in some detail under Legal Proceedings in this issue of BFJ. It concerns using the word “ham”, ie., the natural leg of a single pig, to various pieces from several pigs, deboned, defatted, “tumbled, massaged and cooked” in a mould shaped to a leg of ham, from which the average purchaser would find it impossible to distinguish. As the defence rightly claimed, this process has been used for at least a couple of decades, and the product forms a sizeable section of the bacon trade. Evidence by prosecution witnesses, experienced shop managers, believed the product to be the genuine “ham”. There is nothing detrimental about the meat, save that it tends to contain an excess of added water, but this applies to many meat products today; or that the manufacturers are setting out to cheat the consumer. What offends is the description given to the product. Manufacture was described in detail—a county trading standards officer inspected the process at the defendant company's Wiltshire factory, witness to the extent of their co‐operation—and was questioned at great length by defending counsel. Specimens of the product were exhibited and the jury were treated to a tasting test—presumably designed to refute prosecution's claim that the meat was of “poor value”. The trial judge said the jury had no doubt been enlightened as to the methods of manufacturing ham. The marketing of the product was also a subject of examination.

The purpose of this paper is to demonstrate how the specification of hedonic pricing models can be improved by using insights generated from qualitative research. In doing so, it seeks to address one of the main problems in the specification of hedonic models, namely that theory yields little guidance in the selection of the characteristics that should be included on the right-hand side.

Building on the behavioural tradition in real estate research, this paper introduces a research approach that integrates insights from qualitative analysis in an econometric model of land values. The empirical segment explores the way in which asking prices of building plots for industrial purposes are determined in The Netherlands. It draws from interviews with municipal land developers, who dominate supply in this market. The information secured during these interviews relates to the characteristics considered important and the kind of information used in the valuation process. Based on these qualitative data, an econometric model is developed and estimated.

The estimation results confirm qualitative evidence that the typical developer considers only a limited number of features of the land in the valuation process and that the primary source of information in setting asking prices relates to the prices charged in neighbouring municipalities.

This paper represents a novel attempt to examine the determination of land and property values by merging qualitative and quantitative, econometric analyses.

In the US, a growing number of organizations and industries are seeking to affirm their commitment to and efforts around diversity, equity, and inclusion (DEI) as recent events have increased attention to social inequities. As health care organizations are considering new ways to incorporate DEI initiatives within their workforce, the anticipated result of these efforts is a reduction in health inequities that have plagued our country for centuries. Unfortunately, there are few frameworks to guide these efforts because few successfully link organizational DEI initiatives with health equity outcomes. The purpose of this chapter is to review existing scholarship and evidence using an organizational lens to examine how health care organizations can advance DEI initiatives in the pursuit of reducing or eliminating health inequities. First, this chapter defines important terms of DEI and health equity in health care. Next, we describe the methods for our narrative review. We propose a model for understanding health care organizational activity and its impact on health inequities based in organizational learning that includes four interrelated parts: intention, action, outcomes, and learning. We summarize the existing scholarship in each of these areas and provide recommendations for enhancing future research. Across the body of knowledge in these areas, disciplinary and other silos may be the biggest barrier to knowledge creation and knowledge transfer. Moving forward, scholars and practitioners should seek to collaborate further in their respective efforts to achieve health equity by creating formalized initiatives with linkages between practice and research communities.

The aim of the study is to propose certain agricultural policy measures for the financing and development of Greek farms, established by young farmers, based on the results of a clustering method suitable for handling socio‐economic categorical data.

The clustering method was applied to categorical data collected from 110 randomly selected investment plans of Greek agricultural farms. The investment plans were submitted to the “Region of Central Macedonia” administrative office, in the framework of the Operational Programme “Agricultural Development – Reform of the Countryside 2000‐2006” and refer to agricultural investments by “Young Farmers”, according to the terms and conditions of Priority Axis III: “Improvement of the Age Composition of the Agricultural Population”. The input variables for the analyses were the farmers' gender, age class, education level and permanent place of residence, the farms' agricultural activity, Human Labour Units (HLU) and farms' viability level. All these variables were measured on nominal or ordinal scales. The available data were analyzed by means of a hierarchical cluster analysis method applied on the rows of an appropriate matrix of a complete disjunctive form with a dummy coding 0 or 1. The similarities were measured through the Benzécri'sχ²distance (metric), while the Ward's method was used as a criterion for cluster formation.

Five clusters of farms emerged, with statistically significant diverse socio‐economic profiles. The most important impact on the formation of the groups of farms was found to be related to the number of HLU, the farmers' level of education and gender. This derived typology allows for the determination of a flexible development and funding policy for the agricultural farms, based on the socio‐economic profile of the formulated clusters.

One of the limitations of the current study derives from the fact that the clustering method used is suitable only for categorical, non‐metric data. Another limitation comes from the fact that a relative small number of investment plans were used in the analysis. A larger sample covering and other geographical regions is needed in order to confirm the current results and make nation‐wide comparisons and “tailor‐made” proposals for financing and development. Finally, it is interesting to contact longitudinal surveys in order to evaluate the effectiveness of the funding policy of the corresponding programme.

The study's results could be useful to practitioners and academics because certain agricultural policy measures for the financing and development of Greek farms established by young farmers are proposed. Additionally, the data analysis method used in this study offers an alternative way for clustering categorical data.

The purpose is to understand why contract instability occurs when small landowners lease their land to large landholders.

The authors develop a contract theoretical model to understand the stability problem in the farmland lease contract in China, where most landowners are small landholders.

Results from the doubly robust estimation method used on randomly selected interview data from 552 households in nine provinces of China indicate that contract instability can arise endogenously when large landholders sign a contract. The authors conclude that a suitable rent control regime or contract enforcement may be necessary to promote a large-scale farmland transfer in China.

The authors develop a contract theoretical model and apply it to the land rental market in China. Data used are original and collected from farmers located in nine provinces of China.

The big changes over recent years and their rapid development in Food Retailing have resulted in different shopping practices, for the institution, the hotel, restaurant and the home. Different cuisines have developed, foods purchased, both in cooking practices and eating habits, especially in the home. Gone are the old fashioned home economics, taking with them out of the diet much that was enjoyed and from which the families benefitted in health and stomach satisfaction. In very recent times, the changes have become bigger, developments more rapid, and the progress continues. Bigger and bigger stores, highly departmentalised, mechanical aids of every description, all under one roof, “complex” is an appropriate term for it; large open spaces for the housewife with a car. The development is in fact aimed at the bulk buyer — rapid turnover — the small household needs, not entirely neglected, but not specially catered for. Daily cash takings are collosal. This is what the small owner‐occupied general store, with its many domestic advantages, has come to fall in the late twentieth century.

The purpose of this paper is to perform an investigative analysis of the distribution of agricultural growth in China and the evolution of the decision mechanism.

The kernel density estimation method was used to investigate the distribution of agricultural growth in China using 1988‐2008 panel data of the 29 provinces on the mainland. A nonparametric income distribution approach was employed to decompose China's agricultural output growth into farmland accumulation, capital deepening, labor‐scale change, technical change, and efficiency change based on stochastic frontier function. A further investigation of the evolution of the decision mechanism for agricultural growth was then performed using counterfactual analysis.

The results of this analysis indicate that: from 1996, the distribution of agricultural output per worker evolved from a unimodal into a bimodal distribution; technical change is the primary impetus to distribution shift; and capital deepening and efficiency change play a dominant role in the deformation of the distribution of agricultural output per worker from a unimodal to a bimodal distribution.

The paper is an original work and its methodology makes a meaningful contribution to understanding China's agricultural growth. That is, the use of income distribution analysis method to analyze agricultural growth does not only allow a more in‐depth understanding of the gap between regional agricultural growth rates, but also makes up for the existing lack of convergence in agricultural growth in China.