1. Background: Briefly introduce the present situation and development trend of the research field, as well as the importance and urgency of this research. We can quote the previous research results and viewpoints to provide theoretical basis for the follow-up research.
For example, with the rapid development of global economy, environmental problems are becoming more and more serious, so it is of great practical significance to study the impact of climate change on agriculture. In recent years, many scholars have conducted extensive research on the relationship between climate change and agriculture, but there are still many controversies and shortcomings. (Relevant research literature can be cited here. )
2. Research purpose: clearly explain the purpose and goal of this study and the problems to be solved.
For example, this study aims to explore the influence degree and mechanism of climate change on agricultural production through empirical analysis, and provide scientific basis for formulating policies to deal with climate change.
3. Research methods: Briefly introduce the methods and techniques adopted in this study, including data sources, data processing and analysis methods.
For example, this study uses historical data analysis method to compare and analyze the climate data and agricultural production data in the past few decades, and to explore the relationship between climate change and agricultural production. (The method adopted can be described in detail here.)
4. Paper structure: Briefly introduce the main chapters and content arrangement of the paper to help readers better understand the logical structure and ideas of the paper.
For example, this paper is divided into five chapters, the first chapter is literature review, the second chapter is data source and processing, the third chapter is empirical analysis results, the fourth chapter is conclusions and policy recommendations, and the fifth chapter is references.
5. Innovation and limitation: point out the innovation achievements and possible problems of this study to show the depth and breadth of the study.
For example, on the basis of previous studies, this study used multiple regression model to analyze the impact of climate change on agricultural production for the first time, and put forward targeted policy recommendations. However, there are still some limitations in this study, such as timeliness and regionality of data.