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Purpose -This paper aims to investigate the impacts of climate change on the People's Republic of China's (PRC) grain output using rural household survey data. The paper highlights the regional differences of impacts by estimating output elasticities (with respect to climate change) for different grain crops and different regions. Design/methodology/approach -The paper uses production function to investigate the responses of grain output to climate variables as well as other traditional input variables. The use of production function approach allows us to do away with the competitive land market assumption as required in the Ricardian approach. The paper will use interaction terms of climate variables and regional dummies to capture the regional differences of climate change impact on grain crops. Findings -The results indicate that the overall negative climate impacts on the PRC's grain output range from 20.31 to 22.69 percent in 2030 and from 21.93 to 23.07 percent in 2050, under different emission scenarios. The impacts, however, differ substantially for different grain crops and different regions. Originality/value -This paper addresses the limitations of existing literature by highlighting regional differences and crop varieties using the most recent nationwide rural household survey data. The results indicate pronounced regional differences and crop differences in the impacts of climate changes on PRC's grain output.

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This chapter provides an overview of cultural practices in mango production. Specific topics that are covered consisted of: production areas and yields, climate of production areas, soils and soil preparation, plant propagation and rootstocks, major cultivars, plant spacing, fertilizer practices, irrigation practices, vegetative growth and reproduction manipulation, environmental stress management, and harvesting practices.

Invasive species control or eradication is an important issue. On the islands of Hawaii, this problem is exceedingly evident when it comes to Miconia calvescens (Miconia). Adequate funding is needed to control or eradicate this invasive plant, but with the limited amount of funding available for the fight against Miconia, it is important to make sure that the fund is being spent in a way that addresses the needs or preferences of the Hawaiian residents. Using the conjoint choice experiment method, we designed a survey that would measure the Hawaiian residents' willingness to support Miconia control program attributes. The attributes focused on were cost, biodiversity loss, extent of spread and soil erosion. Latent class approach was used to assess the surveyed population to see the different preferences by individual classes. The results show three different classes or groups of individuals with varying preferences for a control program of which cost and erosion were the top preferred attributes among the classes. These groups were defined by their socio-demographics of income, the length of residency and exposure to farming/gardening activities. Even with a preference for lower cost, a group showed willingness to pay more ($2.40) for a program that reduces erosion from high to low. Finally, the biodiversity attribute had very low consideration from a majority of the respondents showing the need for educating the public regarding its importance in preserving the unique environment in Hawaii.

Series is a forum for stimulating discussion and eliciting feedback on ongoing and recently completed research and policy studies undertaken by the Asian Development Bank (ADB) staff, consultants, or resource persons. The series deals with key economic and development problems, particularly those facing the Asia and Pacific region; as well as conceptual, analytical, or methodological issues relating to project/program economic analysis, and statistical data and measurement. The series aims to enhance the knowledge on Asia's development and policy challenges; strengthen analytical rigor and quality of ADB's country partnership strategies, and its subregional and country operations; and improve the quality and availability of statistical data and development indicators for monitoring development effectiveness.

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