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This paper aims to examine the effects of CO₂ emissions, energy consumption, cultivated area and the labour force on the production of cereal crops in Pakistan from the period 1971-2014.

The study used the Johansen cointegration test, the autoregressive distributed lag (ARDL) approach and Granger causality test to estimate the long-run cointegration and direction of the relationship between the dependent and independent variables.

The outcomes of the Johansen cointegration test confirmed the existence of a long-term cointegrating relationship between the production of cereal crops, CO₂ emissions, energy consumption, cultivated area and the labour force. The results of the long-run coefficients of CO₂ emissions, energy consumption, cultivated area and labour force have a positive impact on cereal crops production. The long-run relationships reveal that a 1 per cent increase in CO₂ emissions, energy consumption, cultivated area and labour force will increase cereal crops production by 0.20, 0.11, 0.56 and 0.74 per cent, respectively. Moreover, the findings show that there is a bidirectional causality running from CO₂ emissions and cultivated area to cereal crops production. Moreover, there is a unidirectional causality running from energy consumption to cereal crops production.

The present study also fills the literature gap for applying the ARDL procedure to examine this relevant issue for Pakistan.

The purpose of this paper is to provide empirical evidence on the relationship between capital structure and technical efficiency (TE) for Italian cereal farms during the 2008–2014 period. Emphasis is given in the understanding of the relationship between the level of financial leverage for cereal farms and their production performance.

The methods employed in this research article are based on non-parametric techniques in order to derive TE estimates for a sample of Italian cereal farms based on available Farm Accountancy Data Network data to explore in depth the relationship amongst the financial exposure of the sector and the capacity to utilise an efficient and effective production technology. Furthermore, subsidies are considered in the model as a non-discretionary variable and therefore, as an input that farmers cannot directly influence within the production function. Hence, the non-discretionary Data Envelopment Analysis model is a more appropriate framework since it is not penalising farms at a lower level of Pillar I payments when benchmarked with farms that receive a higher level of payments.

The results show that significant improvements could be achieved for most of the farms in the sample by improving production and management practices. Furthermore, results provide an empirical support of the adjustment theory by showing a negative impact of debt to asset ratio to TE.

This research article provides a first insight on the evolution of the Italian cereal farms debt-TE relationship in periods where high price instability has been observed.

Discusses the influence of cereal breeding on yield increase. Suggests that future breeding programmes should be based on both financial information and yield. Summarizes the results of a first attempt to include financial and yield data for the National Institute of Agricultural Botany (NIAB) leaflet Recommended Varieties of Cereals. Discusses implications for breeders and farmers. Suggests that evaluation by financial margins will be the criterion of greatest importance in a future agricultural environment dictated by a movement of cereal prices towards world levels under present common agricultural policy.

The purpose of this paper is to investigate the main determinants of dependency on food aid programmes. Food aid may take the form of a loan, a sale below market price or a current transfer. Food aid programmes across the globe are generally designed to provide short‐term assistance to countries. However, many countries have developed a dependence on food aid assistance.

The paper estimates cross‐sectional regressions using a database containing 116 developing countries over the period 1970‐2003. Bayesian averaging of classical estimates is employed to identify the robust determinants of dependency.

The study finds that the top two determinants of food aid dependence (both cereals and non‐cereals) were food production and the frequency of droughts affecting the country. Food inflation, population density, crop yields, the amount of arable land per capita, the rule of law and the number of armed conflicts were also robustly related to aid dependence.

These findings suggest that international donors should focus primarily on offsetting the substitution effect of aid on local production as well as implement systems to partially offset the negative effects of droughts, if they are to break the cycle of dependence on food aid.

Previous studies have investigated the effects of a large number of other variables. The findings from these papers were somewhat conflicting due to differences in model specification. To identify the variables that have a robust relationship with food aid dependence, whatever the model specification, the Bayesian averaging of classical estimates approach proposed by Sala‐i‐Martin et al. is employed.

The purpose of this paper is to determine if the agribusiness sector can be an initiator of export on the emerging markets. For this aim, we analyzed export opportunities for the region of Vojvodina, the region in Serbia with the most potential for agribusiness.

This paper uses the Comparative Advantage Index and the Index of Intra-industrial Integration to determine the region's level of comparative advantage and the market's level of integration on the main emerging markets.

The results show that this region has the most competitive advantages in crop production – primarily in cereals and industrial plants – but the situation is not favorable for livestock production. Because of this, comparative advantage should be used as a factor for the growth of competitiveness in the sectors for which crop products are the raw material base. At the same time, agricultural policy measures should encourage more intensive agricultural production, which could create a better foundation for progress in the food industry.

Data collected on foreign trade at the level of statistical regions is not always reliable. Also, regional and local characteristics are specific to each country, so the ability to generalize conclusions is limited.

This paper provides a useful review of the agri-food sector's competitiveness and determines which agri-food segments have competitive advantages. It is essential for policymakers to identify what determinants improve or degrade the competitiveness of the region's agri-food sector.

Since there are a limited number of studies analyzing trends of competitiveness for the region's agri-food sector, the paper will contribute to filling this gap. Furthermore, the framework is conceptually innovative in identifying the determinants that create export opportunities for the region on the international market.

This study aims to examine the impacts of climate change (CC), measured average annual rainfall, average annual temperature and carbon dioxide (CO₂e) on cereal production (CPD) in Bangladesh by using the annual dataset from 1988–2014, with the incorporation of cereal cropped area (CCA), financial development (FD), energy consumption (EC) and rural labor force as important determinants of CPD.

This study used an auto-regressive distributive lag (ARDL) model and several econometric approaches to validate the long- and short-term cointegration and the causality directions, respectively, of the scrutinized variables.

Results of the bounds testing approach confirmed the stable long-term connections among the underlying variables. The estimates of the ARDL model indicated that rainfall improves CPD in the short-and long-term. However, CO₂e has a significantly negative impact on CPD both in the short-and long-term. Results further showed that temperature has an adverse effect on CPD in the short-term. Among other determinants, CCA, FD and EC have significantly positive impacts on CPD in both cases. The outcomes of Granger causality indicated that a significant two-way causal association is running from all variables to CPD except temperature and rainfall. The connection between CPD and temperature is unidirectional, showing that CPD is influenced by temperature. All other variables also have a valid and significant causal link among each other. Additionally, the findings of variance decomposition suggest that results are robust, and all these factors have a significant influence on CPD in Bangladesh.

These findings have important policy implications for Bangladesh and other developing countries. For instance, introduce improved cereal crop varieties, increase CCA and familiarizes agricultural credits through formal institutions on relaxed conditions and on low-interest rates could reduce the CPD’s vulnerability to climate shocks.

To the best of the authors’ knowledge, this study is the first attempt to examine the short- and long-term impacts of CC on CPD in Bangladesh over 1988–2014. The authors used various econometrics techniques, including the ARDL approach, the Granger causality test based on the vector error correction model framework and the variance decomposition method.

The first purpose of this study is to examine the impacts of climate-caused cereal productivity changes on food security, welfare and GDP in South Asian countries. The second purpose is to assess the agricultural subsidies and South Asia Free Trade Agreement (SAFTA) as policy responses to climate change.

The present study uses the computable general equilibrium (CGE) framework and econometric approach in an integrated manner to examine the economic impacts of climate-caused cereal productivity changes in South Asian countries. An econometric model is used to identify the impact of climate change on cereal yields and CGE approach is used to assess the future effect of climate change through simulations. In this course, the econometric findings are applied to Multiregional Global Trade Analysis Project 10 and then the model is calibrated for future projection.

The results indicate that there is a decrease in cereals production because of climate change and eventually it increases the prices of cereals, decreases the local consumption and GDP and, as a result, causes a loss in welfare. Subsidies and SAFTA have been found to have no substantial impact on increasing food security in South Asia.

The present study uses the concept of food demand for all cereals in an integrated way and focuses on the fiscal and trade policy responses to climate change.

This study aims to create a systematic knowledge base on importance and utilization patterns of underrated pseudo-cereals prevalent in the northeastern hilly (NEH) region of India, namely, buckwheat, Job’s tears, chenopod and amaranth, enabling their diversified use to develop innovative food products from them. The information presented in the paper would facilitate scientists, trainers and young entrepreneurs in developing many novel food products from these underrated pseudo-cereals.

Major scientific information has been collected from Scopus, Web of Science and Google Scholar. Several keywords such as underrated crop, pseudo-cereals, buckwheat, chenopod, Job’s tears, amaranth, value addition and utilization were used to find the data. Relevant information was collected by using about 60 recent research and review articles.

The main findings of this comprehensive study include compiled record of utilization of underrated pseudo-cereals found in the NEH region of India and their scope to innovate smart food products.

The paper presents a comprehensive record of nutritional benefits and utilization status of the underrated pseudo-cereals available in the NEH region of India. This knowledge base would help both the researchers and other professional working in the processing of these crops.

In writing a paper to honour Professor Clem Tisdell, it is apt to focus attention on the environmental and human costs of commercial agricultural production, especially the Green Revolution technology in South Asia during the last few decades. This is an area where Professor Tisdell has done much research, amongst the multitude of other research interests he has pursued in his very illustrious career. Modern commercial agricultural practices involving chemical inputs such as fertilizers and pesticides have been associated with huge increases in food production never witnessed before and, in the case of cereal production (especially wheat) under Green Revolution technology, recorded spectacular growth. As statistics show, production and productivity have increased. However, the high chemical usage of fertilizers and pesticides to bring about these spectacular increases in food production is not without its problems. A visible parallel correlation between higher productivity, high chemical input use and environmental degradation and human health effects is evident in many countries where commercial agriculture is widespread. This paper discusses the environmental and health effects/costs arising from the high use of chemical inputs to increase production and productivity in South Asia, with a field study carried out in Sri Lanka to show the health costs arising from direct exposure to pesticides during pesticide handling and spraying on farms by small‐scale farmers.

The purpose of this study is to examine household food gap and food insecurity in Eastern Ethiopia. Differences in food gap and food insecurity were also examined in terms of gender of the household head and location.

A combination of quantitative and qualitative methods such as household survey, key informant interview and focused group discussion were utilized for this study. Households were drawn randomly from the study area.

In terms of food availability, more than half of the households experienced a food gap during the year, especially during the months of July and August. In terms of gender, female-headed households had more months of food shortage compared to their male counterparts. This disparity was also reflected in poorer food access among female-headed households as shown by the higher HFIAS. Differences in food insecurity were obtained in terms of gender of the household head and location. Livestock ownership, cereal crop production, extension contact and household size significantly influenced household food access.

Findings are valid only for low-land agroecologies

This study contributes to the existing literature by examining household food gap and food insecurity using a combination of quantitative and qualitative methods. It adds value in examining disparities between male-headed and female-headed households. Literature related to seasonal household food insecurity is limited in Ethiopia. This study contributes in this regard by examining seasonal food insecurity between post-harvest and pre-harvest seasons.