Julian Witjaksono, He has been working as a researcher since 2000 at The Assessment Institute for Agricultural Technology of Southeast Sulawesi with the subject of Environmental Economy. His research interest focus on Agro-economy biotechnology, farming system and policy analysis. He got his bachelor in socio economy agriculture from Haluoleo University in 1995 and graduated master degree in environmental management from Bogor Agricultural University in 2000. He studied his Ph.D in environmental sciences at Chinese Academy of Agricultural Sciences and graduated in 2014. His works have been published and presented through articles, national and international journals, meeting or conference in national and international forums. Approximately, he had collected the research paper more than 50 papers since he has been a researcher in 2005. As a researcher he always motivated to enhance his skills and knowledge through the training that have been funded by international organization, viz. Netherland Fellowship Program (NFP) in 2014, China Scholarship Council (CSC) in 2011, and Norman Bourlag Fellowship Program as the research fellow at the International Research Center for Tropical Agricultural (CIAT) in Columbia which funded by United States Department of Agriculture (USDA) in 2014. His research works have been funded by Australian Center for International Agricultural Research (ACIAR), Indonesia Ministry of Science and Technology, Indonesia Agency for Agricultural Research and Development, Farmer Empowerment Through Agricultural Technology and Information (FEATI) project, Sustainable Management of Agricultural Research and Technology Dissemination (SMARTD) project.
Today’s transgenic cotton are rapidly adopted by farmers around the world. Rising the area of growing GM cotton mostly derived from the yield and income gain. Both transgenic cotton and its counterpart in terms of profit gain are affected by yield, seed cost, pesticide cost, management and labor cost. This study is a meta-analysis as a synthesis of current research by searching literature both peer-reviewed and non peer-reviewed. This meta-analysis based on more than 40 individual studies across the countries of cotton performance which came from the data survey and field trials. The database set has been selected from both transgenic and conventional cotton in order to compare in terms of economic indicators. In this study would be assumed that economic indicators vary from region to regio n around the world or may have changed over time. This paper will discuss the delivery of this technology has no doubt that increasing yield, reducing the pesticide cost and raising income gain was the main factors for cotton growers to decide planting transgenic seed. Moreover, information from the individual studies that went into the meta-analysis , and an estimate of the overall results. This will also allow to discuss a visual assessment of the amount of variation between the results of this studies both GM cotton and its counterpart. The visual assessment is adapted from systematic review and meta-data analysis which examined economic indicators of GM cotton compared with non GM cotton. This paper also will discuss the benefits of the use GM cotton based on this study shows that, for example in China, GM seed has been adopted widely and rapidly by the farmers due to the yield gain and income gain as the main factors influencing cotton growing area.