Kate Vaiknoras, Catherine Larochelle, Jeffrey Alwang
{"title":"Measuring the impact of stress-tolerant rice variety adoption: Evidence on input use and yield in Nepal","authors":"Kate Vaiknoras, Catherine Larochelle, Jeffrey Alwang","doi":"10.1111/agec.12869","DOIUrl":"https://doi.org/10.1111/agec.12869","url":null,"abstract":"<p>New agricultural technologies, such as stress-tolerant rice varieties (STRVs), that reduce yield risk can modify farmers’ production decisions. This article explores how STRV adoption affects farmer decision-making and productivity in Nepal in a non-drought year. STRVs are bred to be high-yielding and tolerant to climate shocks such as drought. To assess the effect of input measurements on treatment effects, we collected information from 900 households on STRV adoption and input use. We also conducted a survey experiment in which half of sampled households were randomly assigned to answer additional, more detailed questions on agricultural inputs. Farmers apply more total chemical fertilizer, pesticides, early-season chemical fertilizer, and land preparation labor to plots planted with STRVs compared to traditional varieties (TVs). Detailed input data enhances our understanding of how this “crowding-in” effect of STRV adoption on input use compares with other high-yielding varieties. While farmers increase application of a subset of these inputs on other improved variety types such as hybrids, results suggest that crowd-in effects are most consistent for STRVs. In the absence of drought, STRVs also provide a similar yield boost and yield variance reduction over TVs compared to other, non-stress tolerant improved varieties. Results suggest that improved varietal adoption, and STRV adoption in particular, can improve household productivity and modernization of agriculture.</p>","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"56 1","pages":"145-160"},"PeriodicalIF":4.5,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/agec.12869","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sébastien Marchand, Maimouna Barro, Hang Xiong, Huanxiu Guo
{"title":"Industrial water pollution and farmer adaptation: Evidence from rice farming in Jiangsu, China","authors":"Sébastien Marchand, Maimouna Barro, Hang Xiong, Huanxiu Guo","doi":"10.1111/agec.12867","DOIUrl":"https://doi.org/10.1111/agec.12867","url":null,"abstract":"<p>The shift of industrial water pollution from urban to rural areas during industrialization can impact agricultural production and stimulate farmers’ adaptive behavior. As an illustration, this study examines the impact of industrial water pollution from manufacturing firms on rice production in Jiangsu, China. By combining data from the China Rural Fixed Point Survey with the China Environmental Statistics Database, we employ an extended translog production function to distinguish between the effects of industrial water pollution and farmers’ adaptation behaviors. Our results demonstrate that industrial chemical oxygen demand (COD) has a direct biological effect on paddy rice growth, reducing rice yields by 3.76 to 4.17 percent. This detrimental effect is most pronounced within a radius of 5 kg from the village center. Additionally, farmers increase their operating inputs to mitigate the adverse effects of industrial water pollution. These findings underscore the need for stringent environmental regulations and enhanced environmental education in rural areas to promote the sustainable development of both manufacturing industry and agriculture in developing countries.</p>","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"56 1","pages":"108-123"},"PeriodicalIF":4.5,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143114228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The recursive impact in the multivariate probit model: An application on farmers’ decisions for opting risk management strategies","authors":"Jamal Shah, Majed Alharthi","doi":"10.1111/agec.12868","DOIUrl":"https://doi.org/10.1111/agec.12868","url":null,"abstract":"<p>This study investigates the determinants of farmers’ risk management decisions in Khyber-Pakhtunkhwa, Pakistan, using a recursive multivariate probit (RMVP) model. Employing data from 382 farmers collected through a multistage sampling process, the study compares the RMVP with the traditional multivariate probit (MVP) model, demonstrating the superior performance of the RMVP in capturing complex decision-making patterns. Our rigorous statistical analysis demonstrates the significant impact of endogenous covariates on farmers’ risk management choices, revealing complementarity or substitutability among strategies. The study contributes to the literature by providing empirical evidence on the effectiveness of the RMVP model for understanding smallholder farmers’ risk management behavior and offering insights for policymakers to support resilient agricultural systems.</p>","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"56 1","pages":"124-144"},"PeriodicalIF":4.5,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143112529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Valerien Olivier Pede, Sadick Mohammed, Harold Glenn Valera, Mohammed Ibrahim, Ronald Jeremy Antonio
{"title":"Livelihood diversification and household welfare among farm households in the Philippines","authors":"Valerien Olivier Pede, Sadick Mohammed, Harold Glenn Valera, Mohammed Ibrahim, Ronald Jeremy Antonio","doi":"10.1111/agec.12864","DOIUrl":"https://doi.org/10.1111/agec.12864","url":null,"abstract":"<p>Diversification of income sources is one of the most common strategies households employ to minimize household income variability and to ensure a minimum level of income that guarantee their food security. This study examines the impact of livelihood diversification on farm profits among smallholder rice farmers in the Central Luzon Region (CLR) of the Philippines using long-term farm-level panel data spanning from 1966 to 2016. We employed a random-effects ordered probit model to investigate the drivers of livelihood diversification and then used the mixed Markov chain model to analyze the transition of households from less to more diversified livelihoods and its impact on farm profits over time. Our findings reveal substantial diversification among households over time. In particular, the elevation of the farm location is a key driver of rice farm households’ probability to diversify. The estimates show that an increase in the latitude of the farm location increases the probability of rice farmers in the CLR to diversify. We find that 64% of the rice farm households constitute farmers for whom diversification can be a strategy for survival. For medium- to high-profit farm categories, diversification tends to protect farmers against farm profit losses arising from adverse climatic and weather variability.</p>","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"55 6","pages":"1040-1056"},"PeriodicalIF":4.5,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The behavioral dimension of CO2 fertilization effect: Evidence from US harvesting records","authors":"Ziheng Liu","doi":"10.1111/agec.12860","DOIUrl":"https://doi.org/10.1111/agec.12860","url":null,"abstract":"<p>The CO<sub>2</sub> fertilization effect has been demonstrated to boost crop production by enhancing photosynthesis and reducing drought stress. In addition to this biological channel, there is also a behavioral margin for the CO<sub>2</sub> fertilization effect that was previously unnoticed. I find evidence that an additional ppm of average CO<sub>2</sub> concentration leads to increases in the corn and soybean harvested ratios of .57 and .75 percentage points, respectively. My predictions suggest that, without considering the adjustment in harvesting decision, the crop production benefits from CO<sub>2</sub> fertilization effect would be biasedly estimated for both corn and soybeans, which broadens the understanding of farmers’ behavioral responses to environmental stimuli and extends the knowledge on how CO<sub>2</sub> would benefit crop production.</p>","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"56 1","pages":"5-26"},"PeriodicalIF":4.5,"publicationDate":"2024-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/agec.12860","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Does agricultural cooperative membership improve farm productive performance? A meta-regression analysis","authors":"Kassoum Ayouba, Chloé Duvivier, Claire Bussière","doi":"10.1111/agec.12862","DOIUrl":"https://doi.org/10.1111/agec.12862","url":null,"abstract":"<p>In this article, we provide a quantitative review of the literature on the effect of cooperative membership on farms productive performance. Based on a dataset composed of 332 estimates from 80 studies, our meta-regression analysis suggests that the current literature suffers from a severe positive publication bias. After correcting this bias, the overall average effect of cooperative membership on farms' productive performance is positive and statistically significant, but its magnitude is small to negligible. Interestingly, we find that cooperative membership has a stronger effect on yield than on technical efficiency. We also explore how contextual variables and methodological choices affect the reported estimates in the literature.</p>","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"56 1","pages":"45-72"},"PeriodicalIF":4.5,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143121474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Competitive or crowding-out? Estimating spillover effects from large-scale farms on smallholders in China","authors":"Wenrong Qian, Dandan Li, Xinjie Shi","doi":"10.1111/agec.12861","DOIUrl":"https://doi.org/10.1111/agec.12861","url":null,"abstract":"<p>Drawing on data from the Chinese Family Database for 2015, 2017, and 2019, this study employed the difference-in-differences method to examine the spillover effects of large-scale farms (LSFs) on smallholders. The findings confirmed that LSFs positively affect smallholder household income and nonfarm income. The mechanisms verified that LSFs increase the nonfarm income of smallholders, primarily through the transfer out of their land. Additionally, we found that vulnerable groups—such as households with a lower proportion of the labor force, a lower proportion of members in good health, and lower total education years of the labor force—are more likely to be crowded out. Additionally, the study confirmed that LSFs steal the market from smallholders, precipitating a slightly negative competitive effect. These findings have important policy implications for developing countries implementing the LSF policy and for countries where smallholders suffer from livelihood issues.</p>","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"56 1","pages":"27-44"},"PeriodicalIF":4.5,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143121473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Growing importance of price: Investigating food values before and during high inflation in Germany","authors":"Corinna Hempel, Jutta Roosen","doi":"10.1111/agec.12865","DOIUrl":"https://doi.org/10.1111/agec.12865","url":null,"abstract":"<p>Considering the consumption-induced intensification of global challenges and the continuously changing consumer needs, it is important to understand the drivers of consumer food choices under external pressures. We applied best–worst scaling to elicit the relative importance of 11 food values and conducted latent class cluster analyses based on individual scores, allowing us to gain insights into distinctive consumer segments. Data were collected through online surveys of 1000 consumers in Bavaria, southern Germany, in November 2020 and November 2022. As expected, the relative importance of food value <i>price</i> has strongly increased during this period. Similarly, the price-sensitive segment has become larger in 2022 than in 2020, while the societal impact-centered segment has become much smaller in 2022. These findings call for target-specific measures to counteract this trend of increasing price focus that challenges sustainable dietary transitions.</p>","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"55 6","pages":"1026-1039"},"PeriodicalIF":4.5,"publicationDate":"2024-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/agec.12865","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665111","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nicholas Tyack, Aminou Arouna, Rachidi Aboudou, Marie Noelle Ndjiondjop
{"title":"An experimental approach to farmer valuation of African rice genetic resources","authors":"Nicholas Tyack, Aminou Arouna, Rachidi Aboudou, Marie Noelle Ndjiondjop","doi":"10.1111/agec.12859","DOIUrl":"https://doi.org/10.1111/agec.12859","url":null,"abstract":"<p>Genebanks serve as both providers of valuable traits for breeding programs and repositories of diverse crop genetic material representing society's agricultural heritage. In this study, we use a Becker-DeGroot-Marschak mechanism to elicit the willingness-to-pay of rice farmers in Côte d'Ivoire for small amounts of African rice (<i>Oryza glaberrima</i>) landraces held by the genebank of the Rice Biodiversity Center for Africa, and for seed of newly developed ARICA rice varieties bred using genebank materials. Using a field experiment, we additionally investigate how randomized exposure to and experimentation with small amounts of African rice landrace seed or seed of advanced rice varieties developed by AfricaRice affect how smallholder rice farmers value these novel genetic resources. Surprisingly, we find that farmers generally value having access to African rice landraces at approximately the same level as for advanced rice varieties (and far above market rates for improved seed), and that those farmers who grew landrace seed in the offseason were willing to pay more than those who did not. Our results demonstrate the additional value provided by the conservation of African rice landrace varieties (apart from their use in breeding) and highlight the importance of experimentation in the adoption process.</p>","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"55 6","pages":"1000-1025"},"PeriodicalIF":4.5,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/agec.12859","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Designated market makers and agricultural futures market quality: Evidence from China's Dalian commodity exchange","authors":"Miao Li, Tao Xiong, Ziran Li, Wendong Zhang","doi":"10.1111/agec.12854","DOIUrl":"https://doi.org/10.1111/agec.12854","url":null,"abstract":"<p>Many financial markets use designated market makers (DMMs), but the impacts of DMMs on agricultural futures markets – and in particular, how to arrange DMMs among contracts expiring in different months – are largely neglected. In 2017, Chinese exchanges started recruiting DMMs for inactive contracts when they become nearby contracts to address the discontinuous trading activity of nearest-to-maturity contracts, which enables us to study the benefit and cost of recruiting DMMs for inactive contracts using a quasi-experimental framework. Leveraging tick-by-tick data on corn and soybean meal futures, we find that DMMs improve the market quality of inactive contracts without disrupting the market quality of dominant contracts. Heterogeneity analysis in policy settings suggests that more DMMs are conducive to improving market quality for corn and soybean meal futures. We demonstrate that DMM policy is a feasible measure to facilitate continuous activeness in Chinese agricultural futures markets. Our results are important for exchanges and regulators seeking to better design and implement designated market-making programs in agricultural futures markets.</p>","PeriodicalId":50837,"journal":{"name":"Agricultural Economics","volume":"55 6","pages":"899-924"},"PeriodicalIF":4.5,"publicationDate":"2024-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665029","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}