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China is the world’s largest country on ammonia (NH 3 ) emission, which results in sever air pollution there. China’s updated Clean Air Act has started to pay attention to NH 3 reduction, but it is believed that solutions are mainly constrained by implementation of suitable technologies. Here we argued that socioeconomic barriers are the key to hinder the reduction of agricultural NH 3 emission for better air quality in China. We found that small farm size is the key driving force for high NH 3 emission from croplands, while little manure storage and recycle facilities and the mismatch of livestock and cropland on spatial distribution are the reasons for high NH 3 emission from livestock. Overcoming these socioeconomic barriers could at least reduce half of the agricultural NH 3 emission while maintaining food production in China. It not only can benefit air quality but also reduce potentials of eutrophication, groundwater contamination, soil acidification, biodiversity loss, and greenhouse gas emission.

PurposeThis article aims to investigate the financial constraints and nonlinearity of farm size growth.Design/methodology/approachFarm size growth is measured with land, labor and output using data from the Farm Accountancy Data Network (FADN) for Hungary and Slovenia. A dynamic panel model is applied to assess financial constraints and nonlinearity of farm size growth.FindingsResults show that, except for land in Slovenia and output in Hungary, liquidity constraints are less important for farm size growth than endogenous factors based on farm size growth expectations and steady farm size restructuring. Smaller farms are growing faster than larger ones. The hypothesis that a higher level of subsidies would increase farm size is not supported for Hungary. When farms reach a certain size, the land area of the largest farms increases. Farm debts in Hungary are linked with land growth and in Slovenia with output growth.Research limitations/implicationsFurther research on the impact of liquidity constraints and subsidies can be conducted at a disaggregate farm-type level to examine whether there is variability in the underlying interlinkages at the farm-type specialization level.Practical implicationsThe implication that farm size growth is dependent on initial size and that smaller farms are growing faster than bigger ones indicates that it is not necessary to favor the fastest growing smaller farms thus supports the application of a non-discriminatory farm size policy for observing farm size structural changes.Originality/valueThe dynamic panel econometric model that incorporates cash flow as a measure of financial constraints provides insight into farm size growth in cross-country comparison in relation to potential farm liquidity constraints, farm debt and the nonlinearity of farm size, which information is of relevance to policy makers and practitioners.

This article looks at the key factors affecting the connection between peasant family size and farm size in Italy in 1930–1931. The association between farm size and family size was analyzed using a new dataset merging data drawn from both the Population Census of 1931 and the Census of Agriculture of 1930. We found a strict association between peasant family size, here considered as a production unit, and the surface area of the farm. The results seem to correspond to different causal relationship between family size and farm size according to access to land, and form of tenure. In some contexts, where sharecropping was widespread, farm size defines the size of the family. In others where small land ownership prevailed, it seems that family size shapes the size of the farm. In this study we propose a new explanation for peasant family size in the Fascist period. This is done adopting a cross-sectional perspective, providing a geographical analysis based on the 786 agrarian areas that formed the national territory in that period.

We examined factors that influence farm size sustenance and food consumption status of rural farm households. We used survey data comprising a sample size of 390 households. The study employed quantile and ordered logistic models to estimate the impacts of farm sustenance indicators on farm size cultivated and food consumption, respectively. We found that farm size is influenced positively by input expenditures, household sizes, types of crops, farm credits and subsidies. Besides, lack of farm labour adversely affected farm sizes of some categories of farmers. Besides, increasing farm input expenditures, lack of labour, farm credits and subsidies reduce the food consumption status of the households. We recommend that policymakers consider an integrated approach to farm sustenance and specific segregated attention to the individual categories of food consumption status of farm households. These could be achieved through the provision of farm credits and subsidies among other factors that sustain farm sizes and food consumption of the households.

In response to concerns over land concentration and access within the European Union, this study seeks to elucidate the factors influencing farmers’ decisions to invest in land and the consequent growth of farm size. Employing a systematic literature review utilizing the PRISMA method, we delve into theoretical and empirical studies to bridge the gap between agricultural management practices and land market dynamics. Our analysis reveals a complex interplay of endogenous and exogenous factors, including technological advancements, farm characteristics, demographic factors, macroeconomic conditions, and policy environment, significantly impacting investment behaviours and farm growth trajectories. The research highlights the underexplored impact of external factors like policy and land regulation, which are scarcely addressed in empirical studies despite their substantial influence on farm-size evolution and investment decisions. Furthermore, the study emphasizes the need for future research to incorporate a more comprehensive framework that integrates internal farm dynamics with broader economic and policy contexts, thereby facilitating a deeper understanding of the agricultural sector’s resilience and sustainability. The findings underscore the critical role of adopting innovative methodologies and approaches to fully understand the dynamics of farm growth and land investments, aiming to support policymakers, stakeholders, and researchers in fostering sustainable agricultural practices.

Although various previous studies have explored the relationship between agricultural service adoption and its economic impact, little is known about how it may affect environmental quality, especially chemical fertilizer application. Our study examines the effects of agricultural production services (APSs) on chemical fertilizer use, as well as the effects mediated by farm size, using a national representative survey data set comprising 1321 farm households from 132 villages in China. We show that farms adopting APSs tend to decrease the usage of chemical fertilizer and, thus, have less deviation from optimal chemical fertilizer application. Farms with large sizes are more likely to reduce the usage of chemical fertilizer. Moreover, farm size has a significant mediating effect on the relationship between APS adoption and chemical fertilizer use. In particular, farms adopting APSs are more likely to expand farm size, resulting in chemical fertilizer reduction. Our results suggest that APSs contribute to promoting the scale operation and environmental quality in agriculture.

The economic farm-size–efficiency relationship for maize remains unclear. A question that has yet to be answered conclusively is whether farm size affects productivity. The debate on land-appropriation-without-compensation ultimately revolves around the optimal land size and conditions under which farmers can benefit from a more rational utilization of available land. As important as the farm-size–efficiency debate is, it has not received much attention since the launch of the land reform programme. Again, the farm sizes examined in the previous studies reflected large-scale commercial agriculture and were mainly in relation to wheat production rather than the dietary staple of maize. This paper applied parametric efficiency measures under alternative distributional assumptions to data generated from 267 maize-farming households, to understand the economic farm-size–efficiency relationships and their determinants. It emerged that, while farm size is a key determinant of economic efficiency in maize production, its effect on technical efficiency is still contested. Findings suggest that farmer support should be prioritized, and the government’s efforts to make farmers more productive should emphasize gender equity and optimal use of land.

Reducing food losses has become an important means of conserving resources and protecting food security. Based on nationwide survey data from 1526 households in 17 provinces in China, we evaluated Chinese rice harvest losses and used a fractional logit model to analyze the impact of farm size on these losses. The results show that, on average, 3.45% of total rice was lost during the harvest stage, representing a serious waste of resources. In addition, farm size was significantly negatively correlated with rice harvest losses, indicating an inverse relationship between farm size and rice harvest losses. As farms expand in size, farmers are more likely to adopt agricultural machinery services, which have been proven to reduce harvest losses. Our findings show that the government should encourage farm size expansion and promote better agricultural machinery services to reduce harvest losses.

Israeli agriculture has experienced rapid structural changes in recent decades, including the massive exit of farmers, a resulting increase in average farm size, a higher farm specialization and a higher reliance on non-farm income sources. The higher farm heterogeneity makes it necessary to examine changes in the entire farm size distribution rather than the common practice of analyzing changes in the average farm size alone. This article proposes a nonparametric analysis in which the change in the distribution of farm sizes between two periods is decomposed into several components, and the contributions of subgroups of farms to this change are analyzed. Using data on Israeli family farms, we analyze the changes in the farm size distribution in two separate time periods that are characterized by very different economic environments, focusing on the different contributions of full-time farms and part-time farms to the overall distributional changes. We found that between 1971 and 1981, a period characterized by stability and prosperity, the farm size distribution has shifted to the right with relatively minor changes in higher moments of the distribution. On the other hand, between 1981 and 1995, a largely unfavorable period to Israeli farmers, the change in the distribution was much more complex. While the overall change in the size distribution of farms was smaller in magnitude than in the earlier period, higher moments of the distribution were not less important than the increase in the mean and led to higher dispersion of farm sizes. Between 1971 and 1981, the contributions of full- and part-time farms to the change in the size distribution were quite similar. Between 1981 and 1995, however, full-time farms contributed mostly to the growth in the average farm size, while the average farm size among part-time farms actually decreased, and their contribution to the higher dispersion of farm sizes was quantitatively larger. This highlights the need to analyze the changes in the entire farm size distribution rather than focusing on the mean alone, and to allow for differences between types of farms.

Farmland environmental pollution has put greater pressure on the sustainability of agricultural production systems. Exploring the relationship between farm size and environmental pollution in agriculture can help provide realistic guidance for stakeholders. In this study, the research data from apple farmers in China were used to measure the environmental pollutant emissions caused by apple production using the life-cycle assessment (LCA) approach. The mediating effect model was used to examine the mechanisms and pathways by which farm size affects the environmental effects of apple production and to identify the mediating effects of fertilizer, pesticide, and machinery input intensity. Finally, a heterogeneity analysis was conducted to illustrate the impact of participation in agricultural cooperatives on the environmental performance of apple production for smallholder farmers. The results showed that the apple production system’s negative environmental impacts from the agricultural material production phase were more significant compared to the farming phase, with a contribution potential of 56.50%. Farm size directly impacts the environmental effects of apple production, and there is a U-shaped trend between the two, implying that from the perspective of environmental effects, larger farm size is not better. There were some mediating effects in the paths of farm size on the environmental effects, and the largest effect was fertilizer input intensity with a full mediating effect; the second largest effect was machinery input intensity with a partial mediating effect, and the mediating effect accounted for 15.50–15.89% of the total effect; the mediating effect of pesticide input intensity was not significant. In addition, the study also found that joining agricultural cooperatives was beneficial in promoting the improvement of the negative environmental impact caused by apple production. These findings provide insights into optimizing farm inputs for apple production and identifying the appropriate farm size to alleviate multiple environmental impacts, intending to make a marginal contribution to promoting sustainable development of the apple industry in China also providing the research evidence for the comparative study of the environmental burdens of apple production in China and other countries in the world.