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The objective of this study was to examine the impact of the pandemic on sustainable agricultural practices (SAP) adoption such as: organic fertilizers, minimal use of tillage, crop rotation, soil burning and crop association in the frame of family farming systems in Ecuador.

The present research employed probit models' estimation with pooled data from 2018 to 2020. The study combined three sources of information with The Survey on Surface and Agricultural Continuous Production, as the main. This study also proposed the analysis of six regions: Coast, Coast Mountains, Northern Highlands, Central Highlands, Southern Highlands and the Amazon.

The authors see a lower adoption in the year 2020, where the pandemic was one of the causes. The only exception was the use of organic fertilizer. The adoption of these sustainable practices differed across the six regions. The findings also reveal that the employment generated by agricultural enterprises had a negative influence on the adoption of three sustainable practices, and that for the remaining practices the effect was positive.

The data set lacks information on the acceptance and the application of the practices promoted by agricultural technical assistance, which could provide insights into the effectiveness of the learning process. The limited observation period does not allow for investigating long-term effects on sustainable practices adoption.

This study helps to understand the implications of the COVID-19 pandemic in the adoption of SAP. Additionally, this research can help with the scalability of the practices starting from the regions that are most likely to adopt each of them.

The adoption of climate-smart agricultural practices (CSAPs) is important for sustaining Indian agriculture in the face of climate change. Despite considerable effort by both national and international agricultural organizations to promote CSAPs in India, adoption of these practices is low. This study aims to examine the elements that affect the likelihood and intensity of adoption of multiple CSAPs in Bihar, India.

The probability and intensity of adoption of CSAPs are analyzed using multivariate and ordered probit models, respectively.

The results show significant correlations between multiple CSAPs, indicating that their adoptions are interrelated, providing opportunities to exploit the complementarities. The results confirm that both the probability and intensity of adoption of CSAPs are affected by numerous factors, such as demographic characteristics, farm plot features, access to market, socio-economics, climate risks, access to extension services and training. Farmers who perceive high temperature as the major climate risk factor are more likely to adopt crop diversification and minimum tillage. Farmers are less likely to adopt site-specific nutrient management if faced with short winters; however, they are more likely to adopt minimum tillage in this case. Training on agricultural issues is found to have a positive impact on the likelihood and the intensity of CSAPs adoption.

The major policy recommendations coming from of our results are to strengthen local institutions (public extension services, etc.) and to provide more training on CSAPs.

By applying multivariate and ordered probit models, this paper provides some insights on the long-standing discussions on whether farmers adopt CSAPs in a piecemeal or in a composite way.

This study assessed the extent of women empowerment and empirically investigated its effect on the adoption of climate-smart agricultural practices at the plot level in Nigeria.

Using the empowerment score and women empowerment gap for each household which were derived from the Abbreviated Women's Empowerment in Agriculture Index, a multivariate probit model which controlled for the influence of gender and women empowerment on climate-smart agricultural practices' adoption was estimated. The study made use of data from the ECOWAS-RAAF-PASANAO survey conducted in Nigeria in 2017.

The results show that men are significantly more empowered than women in four out of the five domains of empowerment and are more likely to adopt crop rotation. However, female plot managers have a higher likelihood of adopting green manure and agroforestry, while no significant gender differences in the adoption of organic manure and zero/minimum tillage were found.

The results suggest that closing the empowerment gap between women and their spouses would positively influence the adoption of agroforestry.

This study represents the first attempt to examine the adoption of these practices from a gender perspective using a nationally representative plot-level dataset in Nigeria. Furthermore, this study contributes to existing literature on how gender differences influence technology adoption by modelling the effect of empowerment score for each plot manager, and the women empowerment gap for each household on the adoption of five climate-smart agricultural practices.

The purpose of this paper is to evaluate the impact of access to production credit on the productivity of smallholder farmers.

Data for the study were drawn from the Agricultural Value Chain Facility (AVCF), which was implemented in the Northern Region of Ghana. This paper uses the Propensity Score Matching (PSM) to estimate the average treatment effect of access to production credit on the productivity of smallholder farmers. The rationale for the choice of this estimation technique is to control for selection bias since the treatment variable (access to production credit) was not randomised. The authors also test for the effect of hidden bias using “Rosenbaum bounds” sensitivity analysis. The study uses two control groups to examine the net effect of credit on productivity.

The results reveal that smallholder farmers with access to production credit increased productivity through investment in farm inputs. For the impact of credit on productivity using control Group 1, the result shows that farmers with access to credit increased their productivity by 0.170 metric tonnes per hectare and for control Group 2, the result shows an increase of 0.252 metric tonnes per hectare more than farmers who are without access to production credit.

The evidence as provided by this paper is that access to production credit is significant to meet the credit needs of smallholder farmers and therefore contributes to the policy debate on whether access to credit has impact on the productivity of smallholder farmers.

The paper shows the importance of production credit in augmenting the production function of smallholder farmers.

Despite substantial efforts made by Brazil’s government to increase the adoption rate of sustainable agricultural practices (SAP), many of them have not been adopted by the farmers. This paper explores the factors influencing the adoption of SAP in the state of Rio Grande do Sul, one of the largest Brazilian grain producers.

Using four logistic models, the authors test a conceptual framework that provides a systemic view of farmers' adoption decisions from a sample of 172 farmers.

The findings show that the adoption of SAP is influenced by farmers' socioeconomic characteristics (e.g. gender, level of education, farm size, asset values and farm income), attributes of SAP (compatibility of agricultural practice) and psychological factors (ecocentrism, anthropocentrism, and beliefs about climate change).

The results presented may not reflect the characteristics of the region studied because random sampling was not employed. Also, other psychological statements should be used in the questionnaire.

Little attention has been given to the analysis of farmers' psychological factors in studies on the adoption of agricultural conservation practices. This study provides a “systemic approach” that measures both socioeconomic and psychological factors.

This paper aims to assess agri-environment (AE) scheme options on cultivated agricultural land in England for their impact on agricultural greenhouse gas (GHG) emissions. It considers both absolute emissions reduction and reduction incorporating yield decrease and potential production displacement. Similarities with Ecological Focus Areas (EFAs) introduced in 2015 as part of the post-2014 Common Agricultural Policy reform, and their potential impact, are considered.

A life-cycle analysis approach derives GHG emissions for 18 key representative options. Meta-modelling is used to account for spatial environmental variables (annual precipitation, soil type and erosion risk), supplementing the Intergovernmental Panel on Climate Change methodology.

Most options achieve an absolute reduction in GHG emissions compared to an existing arable crop baseline but at the expense of removing land from production, risking production displacement. Soil and water protection options designed to reduce soil erosion and nitrate leaching decrease GHG emissions without loss of crop yield. Undersown spring cereals support decreased inputs and emissions per unit of crop yield. The most valuable AE options identified are included in the proposed EFAs, although lower priority is afforded to some.

Recommendations are made where applicable to modify option management prescriptions and to further reduce GHG emissions.

This research is relevant and of value to land managers and policy makers. A dichotomous key summarises AE option prioritisation and supports GHG mitigation on cultivated land in England. The results are also applicable to other European countries.

The purpose of this paper is to investigate farmers’ risk aversion using the equally likely certainty equivalent approach and the negative exponential utility function to identify risk preference classification.

Stochastic efficiency with respect to a function is applied to determine the risk efficient farming systems for the farmers in central and north-east regions of Thailand.

The study results showed that maize followed by sorghum is the most risk efficient farming system for the extremely risk averse rain-fed farmers in the central region of Thailand. Intensive planting of wet rice and dry rice cultivation is preferred by the extremely risk averse central region irrigated farmers. Wet rice and cassava together with raising small herd of cattle is the most economically viable farming system for the extremely risk averse rain-fed farmers in the north-east region, while two rice crops with raising cattle is preferred by the extremely risk averse north-east irrigated farmers of Thailand.

The findings of this study provide useful information to reinforce the empirical basis for risk analysis for Thai farmers. The results will provide more accurate information regarding risk at the farm level to policy makers and researchers.

Pakistan has long been regarded as one of the most vulnerable countries to climate change. The Food and Agriculture Organisation of the United Nations promotes conservational agricultural practices (CAP); however, they received little attention. Therefore, this study aims to explore the antecedents of farmers’ intention to adopt CAP with empirical evidence to enhance CAP in developing countries.

Using a random sampling strategy, the data has been gathered from 483 Pakistani’s farmers of the most agriculture-producing province, Punjab and Sindh via a questionnaire survey. Regression-analysis (Haye’s process approach) is implied for testing the hypothesis.

The findings indicated that a farmer’s environmental orientation positively affects the farmer’s intention to adopt CAP. Furthermore, the farmer’s attitude towards agricultural production and the farmer’s belief in climate change also positively moderate the relationship.

Based on findings, this research suggests a need for efforts by the government to encourage farmers to engage themselves in technical support for the adoption of CAP. The educational campaigns and training sessions need to be arranged by the government for this purpose. This may help the farmers to adopt strategies relating to climate change concerning their education, credit access and extension services.

This paper explores the antecedents of farmers' intention for CAP in Pakistan. The empirical evidence previously missing in the body of knowledge will support the governments, researchers and FAO to establish a mechanism for enhancing CAP in developing countries like Pakistan. Further research is recommended to explore the outcomes of farmers' intentions to adopt more CAP to gauge the effectiveness of adaptation strategies

Examines the economic factors that influenced chemical based agriculture in Australia and the adverse environmental effects of agrochemicals. Reports how technological change, government policies and institutions affected the environment through chemicals. Discusses the effectiveness of alternative policy measures in mitigating these adverse consequences.