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This study examines the adoption drivers of scale-appropriate mechanization in Nepal's maize-based farming systems. The authors also assess the contribution of scale-appropriate mechanization to the United Nations Sustainable Development Goals (SDGs) of zero hunger (SDG2) and no poverty (SDG1).

Propensity score matching and doubly robust inverse probability-weighted regression adjusted methods were applied to estimate the effects of mini-tiller adoption. These methods control the biases that arise from observed heterogeneities between mini-tillers users and nonusers.

The study findings show that farm size, labor shortages, draft animal scarcity, market proximity, household assets and household heads' educational level influence the adoption of mechanization in Nepal. Mechanized farms exhibited enhanced maize productivity, profits and household food self-sufficiency. Reduced depth and severity of poverty were also observed. Nevertheless, these effects were not uniform; very small farms (≤0.41 ha) facing acute labor shortages benefited the most.

The study results suggest that policymakers in developing nations like Nepal may wish to expand their emphasis on scale-appropriate mechanization to improve farm productivity and household food security, reduce poverty and contribute to the SDGs.

This first-of-its-kind study establishes the causal effects between scale-appropriate farm mechanization and SDG1 (no poverty) and SDG2 (zero hunger) in a developing nation.

The purpose of this paper is to analyze the effects of public investment in agricultural R&D and extension on broadacre farming productivity in Australia.

An autoregressive integrated moving average (ARIMA) regression model is applied to estimate the effects of public investment in agricultural R&D and extension on Australian braodacre productivity.

The study reveals that public investment in agricultural R&D and extension has contributed almost two-thirds of average annual broadacre productivity growth between 1952-1953 and 2006-2007, the average internal rate of return to public investment in agricultural R&D and extension was 28.4 and 47.5 per cent a year, respectively, and overseas spill-ins is an important source of domestic agricultural productivity growth.

Policy implications: the findings suggest that increasing public investment in agricultural R&D and extension and maintaining agricultural R&D policy stability are equally important to have a sustained long-term agricultural productivity growth, and maintaining an open trade and investment regime is important to benefit from foreign knowledge spillovers which is especially important for developing countries.

This paper contributes to the existing literature by employing more sophisticated econometric techniques with an extended data set for the period from 1952-1953 to 2006-2007. The study separates the contribution of public R&D investment and the extension investment, and also takes into account the contribution of overseas public investment on the TFP growth in the Australian broadacre sector.

Since Greece became a member of the EU and after the implementation of plethora of structural funds programs regarding the agricultural sector, the situation has remained more or less the same as far as the structural characteristics of the agricultural sector is concerned.

The agricultural sector in Greece accounts for €6.67 billion and contributes 4.3% to the total GVA which is double compared with the average European one (1.6%). The Agricultural Factor income per annual work unit (AWU) has reached 94% of the EU average. During the economic crisis (2009–2013) the value of this index decreased 22% while in the next years an upward trend followed and in 2019 reached the same level as before the economic crisis. During the period 2005–2018, productivity in Greece showed moderate and negative TFP growth numbers while in the same period, the TFP growth was stronger in the EU presenting an increase of 10%. The trade balance of agri-food products in Greece is negative, although recently this trade deficit has been reduced following an improvement in the agri-food sector's export performance. The value of agri-food products exports amount to €6.04 billion, which are the third largest category of exported goods. Also, the value of exports of manufactured products rose 70% during the period 2009–2019 against the exports of commodities, which also rose with a lower rate (25%), something that it is positive for the Greek economy, given the higher added value of manufactured products. Under the current Common Agricultural Policy Action Plan (2014–2020), Greece has a guaranteed flow of around €20 billion for direct support of agricultural income through direct payments (Pillar I) and has earmarked €15 billion and the remaining €5 billion under the Rural Development Program, (Pillar II). However, the direct payments are not allocated fairly.

The COVID-19 pandemic crisis hit the entire Greek economy and the agri-food sector which has just recovered from the recent economic crisis. However, during this crisis, the Greek agro-food chain has demonstrated great resilience to guarantee the supply of food to consumers. In the era of COVID-19, the key factors that can be employed by agri-food industry as a strategy for penetrating in global markets, are (1) Focus on developed markets, (2) Marketing in branded form (not bulk), and ideally emphasis on the uniqueness of the raw material, and (3) Sufficient volume of products to gain a leading share in the premium segment of the market. In addition, knowledge and innovation have a key role to play in helping farmers and rural communities meet future challenges. Finally, the only way in order to achieve economies of scale in the agri-food sector is to increase the level of cooperation at all levels by any available means.

The study assesses the relationship between institutional credit access and farmer satisfaction using contextual mediating and moderating variables. This study identifies various socioeconomic, service features and service quality determinants impacting institutional credit access.

The authors used the stratified random sampling method and selected 512 farmers from 40 villages in Maharashtra, India. Initially, the study employed probit regression analysis to identify the credit adoption determinants. Subsequently, the relationship between institutional credit and farmer satisfaction is identified through moderated-mediation analysis using the Statistical Package for the Social Sciences and Analysis of a Moment Structures (SPSS - AMOS model).

Probit model's results suggest that socioeconomic variables like education and bank distance; service quality variables like prompt service and employee behavior; and service characteristics variables like the interest rate, loan sanction time, repayment period, and documents for loan application significantly affect institutional credit adoption across the smallholders. Subsequently, the results of the moderating-mediation analysis show that working capital, perceived value and risk perception partially mediate the association between credit adoption and farmer satisfaction. The mediated effects are further moderated by farm advisory services and financial knowledge and skills.

The study is restricted in opportunity due to primary data, and it considers only farmers' perspectives to measure service quality and service features as constraints for institutional credit access.

The government, nongovernment organizations, civil societies and private institutions should provide sufficient financial knowledge and training to the farmers via extension services to utilize the borrowed capital effectively to bring economic welfare and mental satisfaction.

The existing literature rarely considered banking service quality and service features (demand side) variables as determinants of credit access. Further, the study brings novelty in examining how the capital management cognitive factors of the formal credit adopters influence the relationship between credit access and satisfaction.

Total factor productivity (TFP) has become a prominent concept in agriculture economics and policy over the last three decades. The main aim of this paper is to obtain a detailed picture of the field via bibliometric analysis to identify research streams and future research agenda.

The data sample consists of 472 papers in several bibliometric exercises. Citation and collaboration structure analyses are employed to identify most important authors and journals and track the interconnections between main authors and institutions. Next, content analysis based on bibliographic coupling is conducted to identify main research streams in TFP.

Three research streams in agricultural TFP research were distinguished: TFP growth in developing countries in the context of policy reforms (1), TFP in the context of new challenges in agriculture (2) and finally, non-parametric TFP decomposition based on secondary data (3).

This research indicates agenda of future TFP research, in particular broadening the concept of TFP to the problems of policy, environment and technology in emerging countries. It provides description of the current state of the art in the agricultural TFP literature and can serve as a “guide” to the field.

Uganda has gone a step forward in ensuring that information resources available for researchers and students are maximally utilized. Academic and research libraries are participating in supporting and achieving the missions of their respective institutions by teaching the competency of information literacy (IL). This paper seeks to examine the effect IL has had on the usage of electronic information resources in academic and research institutions in Uganda. It aims to focus on the innovations that Makerere University Library (the biggest and oldest academic library in Uganda) has undertaken to ensure that library users (the Makerere University community and other collaborating universities and research institutions in Uganda) are trained on how to access a variety of available information resources, evaluate the information and apply it to address their needs.

Data were collected for the study using interviews to both library staff and users of the selected institutions: two library staff in charge of e‐resources and ten students/researchers were interviewed from each institution. However, user statistics for the years 2004‐2005, as well as the IL training sessions conducted, were the main sources of information. The study focused on academic and research institutions – Makerere University, Uganda, Martyrs University, Nkozi and National Agricultural Advisory Services (NAADS). The researcher is physically involved in the IL program in Makerere University. The usage statistics were compiled and interpreted.

The paper finds that availability of information does not necessarily mean actual use. The study shows that some of the available resources have not been utilized at all. This means that users are not aware of the availability of such resources, they do not know how to access them, or they do not know what the resources offer. All this calls for continued information literacy programs. IL is very vital in influencing utilization of e‐resources. Information professionals are needed to pass on IL skills to library users, while library users should endeavor to find out what information is available online for their consumption. Their attitudes and perceptions also influence the level of utilization.

The paper shows the extent of information literacy and its influence on electronic resources in Uganda. It points out the challenges for the future and provides a number of recommendations for the way forward, which will be helpful both to the relevant communities in Uganda and to other academics in similar circumstances.

The purpose of this paper is to investigate the efficiency and productivity growth of the Iranian banking industry between 2003 and 2008, encompassing pre‐ and post‐2005‐reform years.

The study uses a new decomposition of the Hicks‐Moorsteen total factor productivity index developed by O'Donnell to analyse efficiency and productivity changes in a banking context. The advantage of this approach over the popular constant‐returns‐to‐scale Malmquist productivity index is that it is free from any assumptions concerning firms' optimising behaviour, the structure of markets, or returns to scale. The paper assumes that the production technology exhibits variable returns to scale.

The banking industry's technical efficiency level – which had improved between 2003 and 2006 – deteriorated after regulatory changes were introduced in Iran. The results obtained also show that during 2006‐2007, the industry's total factor productivity increased by 32 per cent. However, the industry experienced its highest negative scale efficiency rate of 38 per cent (ΔROSE=0.62) and its highest negative efficiency growth of 43 per cent (ΔEff=0.57) during this period. The industry also witnessed a strong drop in productivity in 2007‐2008. Overall, changes in the production possibility set and scale‐efficiency changes exerted dominant effects on productivity changes.

This study is the first to use a comprehensive decomposition of the Hicks‐Moorsteen TFP index to analyse efficiency and productivity changes in a banking context.

The purpose of this paper is to attempt to measure the performance of the Indian banking sector in terms of efficiency and productivity levels and their determinants during the post-reform period.

The present study is a novel attempt as it has used pooled data for a duration of 15 years (i.e. 1997/1998-2010/2011) from 59 selected banks for estimating the Hicks-Moorsteen (HM) total factor productivity (TFP) index.

Poor technical efficiency has experienced with scale efficiency change exerting dominant factors; whereas relatively better productivity growth has been experienced by the banks with major contributions from technical change components. The study found relatively underestimated efficiency and productivity levels by traditional data envelopment analysis-based Malmquist index. Additionally, the study brings into account the results for external and environmental determining factors contributing to the TFP growth.

Using HMTFP indices has helped to eliminate certain drawbacks of data envelopment and provided the more elaborative decomposition of productivity growth along with their components so as to have lucid and multidimensional insights about the performance of the Indian banking industry after the initiation of financial reforms.

The purpose of this paper is to analyse the performance of the Indian non-life (general) insurance sector in terms of total factor productivity (TFP) over the period 2005–2016.

This study utilises Färe‒Primont index (FPI) to access the change in TFP and its components: technical change, technical efficiency and mix and scale efficiency over the observation period. Moreover, it employs the Mann–Whitney U-test to scrutinise the difference between the public and the private insurers in terms of growth in productivity.

The results reveal that the insurance sector possesses a very low level of TFP. Also, the results divulge an improvement of 11.98 per cent in TFP of the insurance sector at an annual average rate of 12.41 per cent over the observation period. The growth in productivity is mainly attributable to the improvement of 10.81 per cent in the scale‒mix efficiency. The progress in scale‒mix efficiency is mainly the result of improvements in residual scale and residual mix efficiency. The results also show that the privately owned insurers have experienced a high productivity growth rate than the state-owned insurers.

The results hold practical implications for the regulators, policymakers and decision makers of the Indian non-life insurance companies.

This study is the first of its kind to use FPI, which satisfies all economically relevant axioms and tests defined by the index number theory to comprehensively access the change in TFP of the Indian non-life insurance sector.

This paper examines the performance of smallholder rice farms established using improved planting technologies – broadcasting, dibbling and transplanting – under different production systems – rain-fed and irrigation – in Ghana.

Using recent cross-sectional data of 200 smallholder rice farmers from the upper east region of Ghana, this study employed multinomial logit model and descriptive and inferential statistics for the analysis.

The results revealed that rice production under irrigation system contributes significantly to increasing farm productivity and profitability. Rice farmers who adopted dibbling and transplanting technologies under both irrigation and rain-fed production system obtained higher productivity and profitability than those who used broadcasting technology. Adoption of improved rice planting technologies by smallholder farmers is significantly influenced by education, farm size, improved rice varieties, sales outlets, hired labour and percentage of paddy sold.

The sample size is relatively small, even though findings are still very important in terms of policy formulation for improved smallholder farm performance in a developing country like Ghana.

This study calls for collaborative efforts by government, donor agencies and NGOs to establish irrigation facilities and/or expand existing ones, increase sensitization and dissemination of improved planting technologies, as well as intensify the input subsidy programme in Ghana.

To the best of the authors knowledge, this is the first study that focuses on farmers' choice of rice planting technologies under irrigation and rain-fed production systems, and how these technologies impact on smallholder farm performance in Ghana.