This study investigated the impact of climate change on yield, harvested area, and production of sugarcane in Thailand using spatial regression together with an instrumental variable approach to address the possible selection bias. The data were comprised of new fine-scale weather outcomes merged together with a provincial-level panel of crops that spanned all provinces in Thailand from 1989–2016. We found that in general climate variables, both mean and variability, statistically determined the yield and harvested area of sugarcane. Increased population density reduced the harvested area for non-agricultural use. Considering simultaneous changes in climate and demand of land for non-agricultural development, we reveal that the future sugarcane yield, harvested area, and production are projected to decrease by 23.95–33.26%, 1.29–2.49%, and 24.94–34.93% during 2046–2055 from the baseline, respectively. Sugarcane production is projected to have the largest drop in the eastern and lower section of the central regions. Given the role of Thailand as a global exporter of sugar and the importance of sugarcane production in Thai agriculture, the projected declines in the production could adversely affect the well-being of one million sugarcane growers and the stability of sugar price in the world market.

A hedonic pricing model is developed to estimate the effects of policies to control agricultural sedimentation on lakeside property values at 15 Ohio state park lakes, Using an LA/AIDS demand system, we estimate changes in social welfare that result from upstream soil conservation practices and/or lake dredging activity, while holding other property characteristics constant. Policy simulation results suggest that lakeside residents generally have a higher willingness to pay on an annualized basis for sediment reduction from upstream soil conservation than for lake dredging. This has important implications for soil conservation policy, particuhwly in targeting improvements in the economic efficiency of the Conservation Reserve Program.

This article examined the effect of climate change on land use, yield, and production of cassava in Thailand, employing the panel data analysis between 1989 and 2016. The spatial regression and the instrumental variable method with the generalized method of moment were employed to address the endogeneity problems with the unique climate dataset. The current article investigated that total rainfall and the La Niña event determined harvested area of cassava. In addition, the harvested area was decreased as the population density increased due to high demand for non-agricultural use. On the other hand, increased access to irrigation systems enhanced the harvested area of cassava. Considering the yield of cassava, we found an inverted U-shape relationship between yield and temperature. Moreover, this study revealed that climate variability, extreme events and technological progress statistically influenced cassava yields. By using the climate projections during 2046–2055, we found that harvested area and yield of cassava were projected to reduce 12.49–16.05% and 2.57–6.22% from the baseline. As a result, cassava production in Thailand was predicted to decline 14.74–21.26% from the baseline. The well-being of a half-million farmers in Thailand plus actors in the global supply chain of cassava will be vulnerable to climate change.

The rapid increase in economic development and urbanisation along the Eastern Economic Corridor (EEC) of Thailand has accelerated the change in its ecosystem service value (ESV), leading to the demand for related analysis to ensure sustainable growth in the area. The aim of this study is to: (1) evaluate the land use change in Chonburi Province; the most urbanised city in the EEC of Thailand between 2006 and 2016, and (2) assess the land use change impact on ESV. Secondary data from land use maps for 2006 and 2016 was used to evaluate land use change and its impact on ESV using the land use transition matrix, land use dynamic degree, and the benefit transfer method. Urban and built-up land use were found to dominate other use types. The top three highest annual rates of land use change were found in water bodies, rangeland, and urban and built-up land. The ESV in 2016 was found to be 1.31% higher than for 2006. The ecosystem service functions (ESFs) contributing to the increase in ESV were waste treatment, hydrological regulation, climate regulation and recreation and service culture. Future land use planning should focus on increasing wetlands and protecting agricultural land in the study area since these contribute to the highest ESV. In addition, it is essential to balance economic development with ecological enhancement.

The rapid urbanization from special economic zones (SEZs) in Asia poses a risk on water crisis. This paper identifies water body change trend and its driving force of change in Chonburi province; the most urbanized area in the Eastern Economic Corridor (EEC) of Thailand, in order to analyse the root cause of water shortage in the area. Land use maps from 2006 to 2019 were used to evaluate the changing trend in water bodies using land use transition matrix and land use dynamic degree. Panel data from 364 observations in the Chonburi sub-district was used to assess the driving forces of water body change using panel data analysis. The study reveals that the water bodies are experiencing an increasing trend at the annual rate of 10.72%. The most predominant factor of change is the type of governance, followed by agricultural land use, climate change and population respectively. The results highlight the increasing trend of human-made urban water bodies, the importance of the local authority and the need of international collaboration. Therefore, the government should consider to strengthen measures and policy relative to water body change in the area in order to induce significant impact on future urban water supply.