Journal of Agricultural Economics最新文献

The return of wolves to Swiss mountains and the damage they cause to sheep and goat herds in the region have raised concerns about a consequent wave of farm closures. In this paper, we examine the relationship between wolf attacks and the decline of Alpine summer farms, a specific high-altitude farm type. We collected farm structure data and monitoring data on wolf attacks between 2004 and 2021 and analysed them using a causal random forest method, enabling a detailed analysis of the relation between wolf attacks and the number of different types of Alpine summer farms at a regional level. The results show that the farming systems are unaffected by incidental and infrequent wolf attacks, but that a high number of wolf attacks in a region is related to faster decrease in number of grazing systems where sheep are most vulnerable to such attacks. In contrast, systems that allow for better herd protection tend to show an increase in areas with frequent wolf attacks.

We investigate how the receipt and amount of domestic or international transfers influences household decisions regarding farm investment and the selection of capital and labour-intensive crops. We argue that, even though recipient households may use additional income to increase agricultural investment, investment can fall in the short run if labour constraints arising from the migrant member's absence are binding and capital accumulation is suboptimal. Employing a set of endogenous treatment estimates, we test this hypothesis on data from 5636 rural households in Pakistan. Our findings show a substantial difference between recipient and non-recipient households in terms of their economic behaviour. Recipient households make 100% less agricultural investment and generate 82% less production compared to non-recipient households. The estimates are found to be robust when tested with alternate empirical techniques (Heckman Selection and matching). The impact is stronger in the case of households that receive domestic transfers, with 100% less farm investment and 77% less production than non-recipient households. Remittances result in a decrease in production of both capital- and labour-intensive crops, reflecting a decline in overall farm activity. Similar farm investment and cropping patterns are observed relative to the amount of remittances received. The results are robust to different model specifications and estimation procedures.

This paper examines the effect of agricultural input subsidies (AIS) and agricultural extension services (AES) on farm labour productivity in plots planted with maize in Tanzania, using panel data from the National Panel Survey in Tanzania. To control for the endogeneity of the two programmes, a control function and instrumental variable approach is used to estimate the effects of AIS and AES on farm labour productivity. The results show that AIS and AES are significant in raising labour productivity in maize-planted plots. Similarly, AIS and AES are also effective in increasing land productivity in these plots. Moreover, each programme has comparable effects on land productivity and farm labour productivity. These findings imply that public investments in AIS and AES are effective in raising farm productivity.

Agri-environmental schemes (AESs) are increasingly implemented to promote the adoption of environmentally friendly practices by farmers. We use a systematic review to explore the role of behavioural factors and opportunity costs in farmers' decisions to participate in AESs in Australia, Europe and North America. Behavioural factors influence how farmers value and perceive options, while opportunity costs relate to farmers' forgone utility when choosing to participate in schemes. We synthesise insights from 79 articles and over 700 factors explaining the participation in AESs. We find that a set of behavioural factors seem consistently connected to participation, including agricultural training, advice and having positive attitudes towards AESs. Moreover, several factors related to opportunity costs also have a rather consistent relationship with AES participation, including market conditions, implementation efforts, profitability, and management and contract flexibility. However, many relationships of behavioural factors and opportunity costs with AES participation are not as consistent and generalizable as sometimes portrayed and require context-specific interpretation. Those factors with mixed results can still provide insights into farmers' participation decisions as several of them are either ‘positively and insignificantly’ or ‘negatively and insignificantly’ related to participation, such as environmental attitude, trust and farm size. These results suggest that their relationship with AES participation depends on other factors or the setting, highlighting interactions and raising important new research questions. Overall, our results provide several entry points for both researchers and policy-makers, highlighting uncertainties in relationships between factors and participation that should be considered when designing policies.

Given the recent changes in the supply and demand of dairy products, many opportunities arise for exporting and importing countries. This paper examines determinants of dairy-product trade by applying the Poisson Pseudo-Maximum Likelihood (PPML) method to the gravity model using panel data on 49 exporting and 235 importing countries for the 17 years from 2000 to 2016. The gravity model is estimated using both interval data and dynamic analyses. The results show that domestic subsidies have a modest, but significant, impact on dairy-product trade across the models. For example, a 1% increase in subsidies leads to a roughly 0.02% increase in trade for an average country. Memberships in trade agreements, market size factors, and government institutions also positively affect dairy-product trade. However, tariffs are insignificant in the main model specification. Results from the lag-policy analysis show that the impact of subsidies disappears after the second year of distribution; whereas for the lead-policy analysis, results suggest at least 3 years of anticipatory effects on domestic subsidies.

Total factor productivity growth contributed 38% of Indonesia's agricultural output growth from the mid-1970s to the mid-2000s. This study uses time series data analysed with an error correction mechanism to examine the contribution that Indonesian publicly funded agricultural research made to this outcome, allowing for other possible determinants of productivity growth, including international agricultural research, extension, government price policy and weather. The results imply a 27% real annual rate of return from a marginal increase in Indonesian agricultural research expenditure. Indonesia's public agricultural research explains virtually all of its agricultural total factor productivity growth between 1975 and 2006.

Local farmers' preferences for farmland price regulations in competitive markets have not been studied systematically. We investigate farmers' preferences in Germany, where recent price increases have driven calls for regulatory changes. The results of an online vignette experiment show that farmers prefer stricter regulation against the admission of non-local (but even more so of non-farmer) land buyers. Our analysis also shows that local farmers' preferences are motivated primarily by self-interest rather than adherence to principles. We conclude that most farmers prefer price regulations that consider their particular concerns about increasing competition in Germany.

The use of laboratory experiments to study issues in agricultural policy has grown in prominence within the fields of agricultural and environmental economics. Such experiments are often conducted with university students and framed in an abstract manner. This raises questions about whether the findings of these experiments provide reliable insights on the behaviour of actual agents in real settings. We contribute to this methodological debate by analysing the impacts of sample population and framing on behaviour in the experiment and on two policy effects: the direction and the magnitude of the policy impact. We also examine the channels through which differences in results may occur. For this, we test if behaviour is correlated with a set of covariates collected from our samples, including socio-demographics, social and risk preferences. Our main finding is that the type of subject significantly affects the magnitude of the policy impact. The two populations differ substantially in the representation of key characteristics and preferences, which in consequence affects behaviour in the experiment. We find no significant impact of framing on behaviour.

We use a multi-equation model of polluting technologies to evaluate excess nitrogen's marginal abatement cost (MAC). The MAC is estimated using the convex non-parametric quantile regression. The empirical application is conducted at the plot level for wheat production in France in 2017. Results show a median shadow price for excess nitrogen of about €21 per kilogram. If the current European Union's Nitrates Directive (which sets a 170-kg constraint on organic nitrogen per hectare) were extended to mineral nitrogen, this would allow a reduction of total excess nitrogen by 9.5%, but this would be accompanied by a 3.1% decrease in wheat revenue.

We use structural vector autoregressions to analyse the dynamic effects of shocks to natural gas and nitrogenous fertiliser prices on three major cereal crops: maize, rice and wheat. We find that the response of cereal prices to natural gas and fertiliser price shocks has been relatively small, instantaneous and transitory. These findings suggest that crop prices may change rapidly in response to energy and fertiliser prices, even when there are no shifts in the underlying fundamentals in crop markets. Furthermore, because the effects of the shocks dissipate rather quickly, short-term measures to address swings in food prices may suffice.