Why are Cultural Adaptations such a Prevalent Strategy in the Media Business?

With the technological background of media convergence, industry convergence has gradually become closer, and cultural adaptation strategies have progressively prospered. Phenomenon can be embodied as best-selling novels being adapted for the “big screen,” films being turned into video games and international TV formats for national audiences. For example, of the top ten movies in 2016, seven of the movies are prequels or sequels related to existing movies, and/or are based on novels and comics [1]. This situation is not limited to movies and dramas, other forms (such as drama) have also begun to undergo cultural adaptation [2]. This essay will first define the cultural adaptation strategy based on various perspectives, analyze the characteristics of the media industry, and finally explain why cultural adaptations are such a prevalent strategy in the media business. Cultural adaptations

Analysis of Industry Convergence Based on Improved Neural Network

Economic growth in the information age is no longer a stage driven by unipolarity. It has entered a multi-polar driving stage characterized by integration, fusion, and integrated development on a larger scale between regions, and the trend of group competition with urban agglomerations as carriers has become increasingly obvious. This paper improves the neural network algorithm based on the needs of industrial economic integration in the digital age, and proposes an industry convergence analysis model based on the improved neural network algorithm. Moreover, this article combines industry models to analyze actual needs and constructs an industry convergence analysis model based on improved neural networks, and analyzes the integration of different industries. In addition, this article conducts experiments through multiple sets of data, and combines the neural network model of this article to conduct research. Through experimental research, we know that the model constructed in this paper can play an important role in the analysis of industry convergence.

“Protein” Industry Convergence and Its Implications for Resilient and Equitable Food Systems

Recent years have seen the convergence of industries that focus on higher protein foods, such as meat processing firms expanding into plant-based substitutes and/or cellular meat production, and fisheries firms expanding into aquaculture. A driving force behind these changes is dominant firms seeking to increase their power relative to close competitors, including by extending beyond boundaries that pose constraints to growth. The broad banner of “protein” offers a promising space to achieve this goal, despite its nutritionally reductionist focus on a single macronutrient. Protein firm strategies to increase their dominance are likely to further diminish equity in food systems by exacerbating power asymmetries. In addition, the resilience of food systems has the potential to be weakened as these strategies tend to reduce organizational diversity, as well as the genetic diversity of livestock and crops. To better understand these changes, we visually characterize firms that are most dominant in higher protein food industries globally and their recent strategic moves. We discuss the likelihood for these trends to further jeopardize food system resilience and equity, and we make recommendations for avoiding these impacts.

Where Is the Age of Digitalization Heading? The Meaning, Characteristics and Implications of Contemporary Digital Transformation

Digital transformation is perceived not only as a change in certain technology but also as a large transition that will ultimately change our lives for the better. Industry convergence, the key to digital transformation, entails, for firms, both various opportunities for innovation and the crisis of falling behind. Therefore, from the perspective of firms, it is critical to examine how digital transformation affects their industries and products as well as how they perceive and respond to digital transformation. This is ultimately a matter of how firms survive and maintain sustainable growth in this great upheaval of digital transformation. Based on the understanding of the concept of digital transformation, this study explores how high-growth firms perceive various aspects of digital transformation. The findings show that digital transformation involves a change of firms based on constant innovation, not simply the acceptance of technology, and that there is a large digital divide that depends on the firm size and industry type. Based on the above, this study derives implications in terms of the innovation activities of firms to ensure that digital transformation does not serve as a handicap and barrier for firms.

Research on Regional Differences of the Leisure Agriculture’s Impact on Farmers’ Income—An Empirical Analysis Based on Nonlinear Threshold Regression

As a large agricultural country and a populous country, the development of agricultural and rural areas is the foundation for China to realize a national rejuvenation. Leisure agriculture is the main carrier of industry integration in China’s rural areas and it is an effective means to realize rural revitalization and increase farmers’ income. Industry convergence refers to a dynamic development process in which different industries or different areas of the same industry penetrate and intersect each other and finally merge into one, gradually forming a new industry. However, there is no empirical study on the staged impact of rural agriculture on rural household income and regional differences. This article breaks down the action mechanisms, analyzes the linear impact of leisure agriculture on the income of farmers and divides the development types of leisure agriculture according to the characteristics of leisure agriculture development. Using the provincial panel data from 2008 to 2016, the panel dual-threshold regression model was used to verify the regional differences in the impact of leisure agriculture on farmers’ income, from the perspective of leisure agriculture on farmers’ nominal and actual incomes. Then, the robustness model was used to test leisure agriculture’s impact on farmers’ income. The results show that the impact of leisure agriculture on the income of farmers is staged. Among them, the impact of leisure agriculture on the nominal income of farmers is an “inverted U-shaped” structure and the impact on actual income is an “N-type” structure. At the same time, the paper also finds that the regional differences in the impact of leisure agriculture on farmers’ income are significant and the constraints on the development of leisure agriculture in different regions are different. Based on this, it is proposed that the government should respond to the different development stages of leisure agriculture according to the time, and according to the different development areas of leisure agriculture. Responses should also be based on local conditions, and work to strengthen the participation of farmers.