Canadian Journal of Agricultural Economics-Revue Canadienne D Agroeconomie最新文献

Fungicide resistance is a serious problem for agriculture today. This analysis provides additional insight into the strategic behavior of farmers when their fungicide use generates a negative intertemporal production externality in the form of fungicide resistance. We find that when farmers encounter this type of externality, they choose fungicide levels that exacerbate fungicide resistance. We examine a compensation mechanism in which a farmer reduces fungicide use in exchange for a transfer. This mechanism reduces fungicide use; however, misinformation about the severity of fungicide resistance generates distortions. We find that one-sided misinformation could lead a farmer to choose socially optimal fungicide levels, which makes the compensation mechanism less necessary. In addition, we show that when both farmers are misinformed, the mechanism could lead farmers to choose fungicide levels below the socially optimal level depending on their pessimistic beliefs about the severity of fungicide resistance.

This study examines the induced innovation hypothesis (IIH) from 1958 to 2015 for two Canadian agriculture regions: Central Canada (the provinces of Ontario and Quebec) and Western Canada (the provinces of Alberta, Saskatchewan and Manitoba). There is broadly consistent support for the IIH for Canadian agriculture, especially for Western Canadian agriculture. In addition, there is support for the notion that US, as well as Canadian, research expenditures are important to explain changes in the input ratio in Canadian agriculture in the long run. This indicates the existence of spillover effects from US agricultural research expenditures to Canadian agriculture.

Modern agricultural technologies hold huge potential for increasing productivity and reducing poverty in developing countries. However, adoption levels of these technologies have remained disappointingly low in Africa. This paper analyzes the effect of access to credit on the likelihood of adoption and use intensity of chemical fertilizers using data from large rural surveys in Ethiopia. Using a heteroscedasticity-based identification strategy to address the endogenous nature of access to credit, we find that access to credit has significant positive effects on adoption and intensity of use of chemical fertilizers. However, important heterogeneities are observed. Credit obtained from formal sources is more important for the intensity of use than for the decision to adopt chemical fertilizers. Credit taken with the primary purpose of financing agricultural inputs is more likely to promote adoption of chemical fertilizers than credit taken per se. Furthermore, reported credit effects are larger when estimated against the sample of credit-constrained non-users as compared with the pool of the whole sample of credit non-users. The results remain robust to several sensitivity analyses. Our results yield useful implications for the design, promotion, and targeting of credit services to leverage their effect on adoption of agricultural technologies.

The objective of this paper is to evaluate the effect of the environmental protection policies of by Cameroonian firms on their performance. It uses the endogenous switching regression technique and propensity scores applied to micro-data from 639 firms in Cameroon. The results show that only 17% of firms adopt these measures, while on average 85% of firms produce solid, gaseous or liquid waste. The results also indicate that the adoption of these environmental protection policies increases operating costs while significantly improving the turnover and the performance of the productive capacity of the company. These increases are 39.11%, 58.6%, and 38.63% for operating costs, turnover and return on productive capacity of the company, respectively. However, firms can also suffer significant losses resulting from the non-adoption of environmental policies. In fact, firms that do not adopt environmental protection policies have their performance reduced by an average of 1.625 percentage points.

Replacement brood cows are among the most significant investments for cow-calf operations, thus crucial to profitability. Many cow-calf producers find it cost effective to purchase replacements from a reliable replacement heifer seller, though by doing so they increase risk of reproductive inefficiency due to unknown characteristics of the heifers. When important information about a product is missing to buyers, a seller can build a reputation over time that acts as signal for quality. Previous work has explored reputation effects in feeder cattle markets, but to our knowledge we are the first to explore reputation effects in bred replacement cattle markets. Using data from an annual replacement heifer sale, we analyze the values of heifer characteristics and test for premiums from reputation development. After controlling for reproductive practices, breed, and other characteristics, we find reputation does not play the role that Shapiro theorized. In this sale, the lot order is strategically chosen and may indicate bred heifer quality to buyers, replacing the need for reputation as a signal. This study highlights the importance of quality signals and regional preferences in bred replacement cattle marketing and lays the empirical groundwork for future studies to test Shapiro's theory.

While the transmission of virus SARS-CoV-2 via food is rare, some Chinese food retailers are considering a Covid-19-tested food label. However, how consumers may support such a label is unknown. We quantify Chinese consumers’ willingness to pay (WTP) for food carrying a Covid-19-tested label using an online choice experiment. We find that the WTPs for such a label are always positive for all food products considered. The amount of WTP depends on the entities authenticating the labels, country of origin of the food, and consumers’ socio-demographic status. Contrary to expectation, the knowledge on Covid-19 does not affect consumer preferences for the Covid-19-tested food labels. Our benefit and cost analysis suggests a possible large benefit of creating and administering a Covid-19-tested food label. This study provides insights for policymakers, global food manufacturers, and retailers to create marketing strategies to alleviate consumer food safety concerns associated with Covid-19.

Technological advances—for example, from hand milking to robotic milking—are at the heart of economic transformation and have significantly shaped the agri-food industry and economic growth throughout history. A look at the lead article of the first issue (and the first volume, 1952) of the Canadian Journal of Agricultural Economics (CJAE) 70 years ago reveals an ongoing inquiry within the discipline about how technological progress has shaped how we manage our farms with the implications on aggregate industry productivity and food prices. The topics discussed along these lines in the first issue of the CJAE are still relevant today—for example, challenges with measuring productivity and innovation, diffusion of innovation, technological unemployment, demand for skilled workers, financing innovations, climate change and food security. Science, technology, and innovation for the 21st century hold the potential to foster resilient and sustainable intensification of farm production and productivity growth for the agri-food industry. In this address, I reflect on the past, present, and future impacts of technological innovations and productivity growth on the agri-food industry and discuss the implications for future research, welfare, and policy.

Most studies of agricultural transformation document the impact of agricultural income growth on macroeconomic indicators of development. Much less is known about the micro-scale changes within the farming sector that signal a transformation precipitated by agricultural income growth. This study provides a comparative analysis of the patterns of micro-level changes that occur among small-holder farmers in Uganda and Malawi in Sub-Saharan Africa (SSA), and Thailand and Vietnam in Southeast Asia (SEA). Our analysis provides several important insights on agricultural transformation in these two regions. First, agricultural income in all examined countries is vulnerable to changes in precipitation and temperature, an effect that is nonlinear and asymmetric. SSA countries are more vulnerable to these weather changes. Second, exogenous increases in agricultural income in previous years improve non-farm income and trigger a change in labor allocation within the rural sector in SEA. However, this is the opposite in SSA where the increase in agricultural income reduces non-farm income, indicating a substitution effect between farm and non-farm sectors. These findings reveal clear agricultural transformation driven by agricultural income in SEA but no similar evidence in SSA.