Governments in Australia and internationally are experimenting with policy instruments to facilitate the adoption of farming practices with reduced environmental impacts. The Great Barrier Reef (Australia) is one such case, where sustained efforts over 20 years have yielded insufficient progress towards targets to reduce the impacts of agriculture on water quality in downstream marine ecosystems. We present a critical review of policy instruments as implemented in Great Barrier Reef catchments. We catalogue the evolving mix of policy instruments employed in reef programs, and examine evidence of the effectiveness of agricultural extension, financial incentives, and direct regulation of farming practices. There is little robust evidence to assess instrument effectiveness, in part due to the evolving mix of the instruments employed, weak program evaluation and heterogeneity of agricultural enterprises. We identify the need to improve the understanding of instrument fit to landholders and enterprises. We recommend a modelling approach to clarify pathways to impact and guide improved policy evaluation.

Although the beneficial effects of the agricultural extension of farmers’ biopesticides adoption have been largely demonstrated, the questions of what approaches can better extend biopesticides and how to improve their effectiveness still need to be explored. In a survey of 1148 rice farmers in Hubei Province, China, the technology supply and demand theory is used to explain the low efficiency of biopesticides extension. The endogenous switching probit model is used to estimate the impact of biopesticides technology publicity, training, demonstration and subsidies on farmers’ adoption. The results show that biopesticides extension can promote rice farmers’ adoption probability by 10.3 ~ 11.7%. And technology demonstration is currently the best way to extend biopesticides. Moreover, inadequate supply and demand of biopesticides are important for explaining the inefficiency of biopesticides extension in China. Extending biopesticides is better for farmers with smaller scales, younger ages, and lower education and for those who are cooperative members. Therefore, we should not only actively conduct biopesticides demonstration but also more importantly induce farmers’ biopesticides demand and secure the market supply of biopesticide products. These findings will provide useful guidance for biopesticides extension and pesticides reduction in China and other developing countries.

Pesticide overuse is still prevalent in many developing countries. And improving farmers’ pest control ability is considered to be the key to achieve pesticide reduction. Based on the survey data of 822 rice farmers from Hubei, Jiangxi, and Zhejiang provinces in the Yangtze River Basin, we demonstrated the impact of pest control ability and technical guidance on farmers’ pesticide overuse. We find that rice farmers’ insufficient pest control ability does not necessarily lead to pesticide overuse, which depends on whether there is external technical guidance. The technical guidance of government agrotechnical stations and pesticide retailers can weaken pesticide overuse caused by lack of personal ability. In terms of sample, variable and method substitution, the above estimated results are still robust. In addition, we find that different subjects and links of pesticide technical guidance will bring different impacts. The technical guidance of agrotechnical stations mainly plays a role in the time and type of pesticide application, while the pesticide retailers mainly play a role in the time and dosage of pesticide application. This paper emphasizes that strengthening the guidance and regulation of pesticide technology guidance subject is also an efficient way of pesticide reduction. This will help to improve the effect of agricultural extension and accelerate the realization of pesticide reduction target in China.

This study assessed the long-run (LR) and short-run (SR) impacts of climatic and non-climatic factors, i.e., CO₂ emissions (CO₂e), average level of temperature (ALT), average level of precipitation (ALP), area harvested of wheat and rice crops (AHW and (AHR), domestic credit (DCR), and agricultural labor (ALB) on wheat and rice production (WP and RP) in Turkey by using annual time series data ranging from 1980 to 2016 and by employing several econometric techniques. The autoregressive distributed lag-bounds (ARDL) approach and the Johansen and Juselius cointegration (JJC) test confirmed a valid long-term connection among underlying variables. The estimation results from the ARDL model reveal that climatic factors such as CO₂ emissions and temperature adversely affected wheat production in the long run as well as in the short run, whereas precipitation positively improved wheat production in both periods. Further results indicate that non-climatic factors like area harvested of wheat and domestic credit positively and significantly enhanced wheat production in the long run and short run. Similarly, CO₂ emissions also adversely affected rice production in both periods, while temperature and precipitation positively contributed towards rice production in both cases. In addition, area harvested of rice positively and significantly boosted rice production in the long run as well as in the short run, while domestic credit negatively influenced rice production in the long run but in the short run positively improved rice production. Additionally, the outcomes of the VECM Granger Causality for both rice and wheat production confirm that both climatic and non-climatic variables have a strong influence on the production of both crops. This study found that climate change has a deleterious influence on both wheat and rice production; therefore, the study suggests that temperature-resistant varieties of both crops should be developed and introduced by agricultural research institutions. In addition to this, up-to-date information is more needed related to climate change, and in the farming communities, it should be provided by agricultural extension workers.

Assessing the current farm-level efforts of climate change adaptation is essential to distinguish their usefulness and implying policy level advance measures for future. The present study investigated cotton farmers’ climate change adaptation and its impact on increasing cotton productivity and net cotton income in Punjab province of Pakistan. A pretested and well-structured questionnaire was used for data collection of 480 cotton farmers from three major cotton-producing divisions of cotton-wheat zone of Punjab, Pakistan. Logistic regression analysis approach was used in this study to find out the factors of adaptation and propensity score matching method employed to identify connecting adaptation impact on cotton productivity and cotton income. Empirical estimates of this study indicated as owing to some external and internal constraint farmers were limited focused on adaptation while conscious about adverse effects of climate change. Usage of required and recommended types of fertilizer, variation in planting dates, and changing varieties of crop were main adaptation strategies implemented by cotton farmers. Cotton farmers’ adaptation decision was significantly influenced by some major factors as weather forecasting, market information, easy access to agricultural extension services, farming experience, and education of cotton farmer. Farm-level increase in cotton productivity and net cotton crop income was direct while overall increases in national output and improving rural area farmer well-being were indirect and significant outcomes of implementing climate change adaptation of cotton farmers. Cotton farmers were using various combinations of adaptation strategies and achieving more benefits regarding their crop productivity and net returns. Findings of the study suggest need for larger investment in farm-level extension services, farmers’ schooling, and develop climate change institutional setup for enhancing farmers’ adaptation capability to increasing cotton productivity, improving well-being of farming community, and securing agriculture from future climatic uncertainties. Future policies must deal with farm-level limitations of advanced adaptation measures like making available information and sustaining sponsoring soil conservation practices, launching climate smart varieties and advanced adaptation measures based on various agro-ecological zones.