Examining artificial intelligence (AI) technologies in marketing via a global lens: Current trends and future research opportunities

Artificial intelligence (AI) has captured substantial interest from a wide array of marketing scholars in recent years. Our research contributes to this emerging domain by examining AI technologies in marketing via a global lens. Specifically, our lens focuses on three levels of analysis: country, company, and consumer. Our country-level analysis emphasizes the heterogeneity in economic inequality across countries due to the considerable economic resources necessary for AI adoption. Our company-level analysis focuses on glocalization because while the hardware that underlies these technologies may be global in nature, their application necessitates adaptation to local cultures. Our consumer-level analysis examines consumer ethics and privacy concerns, as AI technologies often collect, store and process a cornucopia of personal data across our globe. Through the prism of these three lenses, we focus on two important dimensions of AI technologies in marketing: (1) human–machine interaction and (2) automated analysis of text, audio, images, and video. We then explore the interaction between these two key dimensions of AI across our three-part global lens to develop a set of research questions for future marketing scholarship in this increasingly important domain.     

The Impact of Public Expenditure and International Trade on Agricultural Productivity in China

The “industry nurturing agriculture” reforms and World Trade Organization accession led to dramatic growth in public expenditure and international trade in China’s agricultural sector. This article aims to estimate the effects of public expenditure and trade on agricultural productivity in China for 2004–2015. A semi-parametric production function with shape constraints is introduced to derive more accurate productivity before the productivity determinants are analyzed with an emphasis on public expenditure and trade. The empirical result shows that public expenditure and exports can effectively improve agricultural productivity, while imports have no significant effects. Policy implications are discussed in the context of supply-side reforms.     

A multivariate distance nonlinear causality test based on partial distance correlation: a machine learning application to energy futures

This paper proposes a multivariate distance nonlinear causality test (MDNC) using the partial distance correlation in a time series framework. Partial distance correlation as an extension of the Brownian distance correlation calculates the distance correlation between random vectors X and Y controlling for a random vector Z. Our test can detect nonlinear lagged relationships between time series, and when integrated with machine learning methods it can improve the forecasting power. We apply our method as a feature selection procedure and combine it with the support vector machine and random forests algorithms to study the forecast of the main energy financial time series (oil, coal, and natural gas futures). It shows substantial improvement in forecasting the fuel energy time series in comparison to the classical Granger causality method in time series.     

Are China’s regional agricultural productivities converging: How and why?

This article tests the hypotheses of convergence to a single level of total factor productivity (TFP), and a steady state of TFP growth rate in China’s agricultural sector. Based on multilateral TFP estimates we found that China’s agricultural sector has rebounded in recent years from a slower TFP growth in the 2005–2007 period. While convergence test results confirm a “catch-up” effect that provinces with lower TFP levels tend to grow faster than others, estimated rates of β convergence are conditional on how we capture the heterogeneity effect across regions. The rates of β convergence range from 0.016 to 0.039 under different model specifications. Estimates show that higher growth rates of educational attainment, R&D, and intermediate goods density (per unit of labor) can enhance TFP growth. Unfortunately, there is no evidence of an overall σ convergence, indicating that TFP levels are not converging except in the South region. It implies that to catch up with leading provinces, it would require extra efforts for those lagging behind by increasing their region-specific research investment, promoting rural educational attainment, and enhancing embodied technical change.     

对西部特色农业结构调整的思考

西部开发战略的重要内容之一,就是开发西部特色农业,而开发西部特色农业首先要搞好农业结构调整.农业结构调整的内容有:农产品品种结构、农业生产内部结构、农产品加工转化增值和食粮主产区域结构的调整.农业结构调整也要注意一些问题,趋利避害,从实际出发,因地因时制宜,把握全局,平稳进行.     

The distributional impact of unification and the 1992–93 recession on West German households

The 1992–93 recession in the western states of Germany has been attributed, in substantial measure, to the macroeconomic consequences of policies to finance unification. Studies of the costs of unification have not attempted to measure the burden of the recession. We estimate a dynamic, panel model of household incomes using data from the German Socio-Economic Panel (GSOEP) and use it to forecast what these incomes would have been in 1992–94 without a recession. Using a ratio of actual to forecast incomes, we compare the relative burden of the recession across households. Our findings suggest that western households below the median income bore the brunt of the combined impact of unification and the recession of 1992–93.
JEL classification: P3, D3, E3.     

辽宁省农产品电子商务发展对策分析

文章运用SWOT方法分析了辽宁省农产品电子商务的应用现状，运用SPSS软件进行了电子商务与第一产业关系的实证研究，并在此基础上提出了有针对性的对策建议。     

浅论我国农产品流通企业扩张的基本规律与政策规制

通过对农产品流通企业扩张形式全面的理论梳理, 研究总结了二种类型的农产品流通企业扩张基本规律,即纵向扩张和横向扩张,并对中国农产品企业扩张问题进行了实证研究,最后对我国农产品流通企业扩张提出建议.     

中国农村金融组织生存、变迁及发展

由于农业的弱质性及在国民经济发展中的基础地位，农村金融组织在农村经济及整个国民经济稳定发展中发挥着不可或缺的作用。中国农村金融组织也有一个生存、发展的制度变迁过程。本文在研究了合作经济及农村金融组织在农村经济发展中的作用的基础上，重点研究了法国的农村金融体系在法国国民经济中的作用，并进一步探讨了中国农村金融组织的生存条件、制度变迁及发展。     

农业院校促进乡镇经济发展的个案研究

在知识就是第一生产力的今天，乡镇经济的发展已不仅是地方政府、乡镇企业的责任，农业院校在履行其育人、科研功能的同时，更应该发挥其服务社会的功能，为乡镇、县域经济的发展起到巨大的带动、推进作用。文章以位于吉林市昌邑区左家镇的吉林农业科技学院为例，分析农业院校在自身发展壮大的同时对所在地方经济的促进作用，将有高等教育辐射的左家镇与没有高等教育辐射的土门岭镇在人均收入、农林牧渔各项产值等方面进行比较，用翔实、准确的数字表明：农业院校是促进乡镇经济快速发展的主力军。