区域制造业空间效应及生产性服务业发展模式选择

通过空间计量模型考察生产性服务业发展模式与制造业集聚的空间溢出效应后发现:生产性服务业专业化水平及多样化水平与制造业集聚呈倒U型关系,同时城市化水平会对服务业发展模式与制造业集聚关系产生影响。分区域模型研究发现,生产性服务业对制造业全要素生产率影响因区域经济发展水平、产业层次、要素禀赋等因素有所差异,东部地区制造业全要素生产率与生产性服务业呈线性关系,适合选择多样化发展模式;中部地区呈倒U型关系,现阶段中部地区生产性服务业更适合选择多样化发展模式;西部地区生产性服务业发展水平与制造业全要素生产率呈正U型关系,生产性服务业专业化和多样化发展都将促进制造业全要素生产率提升。     

考虑声誉效应的科技服务业与制造企业合作创新行为策略分析

采用博弈论的方法，考虑声誉效应对博弈双方效用、策略的影响，建立信号博弈模型，并分析精炼贝叶斯均衡，证明声誉水平、对声誉的态度以及技术市场价值的高低是影响建立合作关系的重要因素。探讨双方建立合作关系的行为策略，提出实现合作达成双赢的建议。     

Social media-based analysis of cultural ecosystem services and heritage tourism in a coastal region of Mexico

Understanding spatial patterns of visitation and benefits accrued to different types of natural and cultural heritage tourists may have important implications for the sustainable management of their destinations. We investigate cultural services accrued to local, domestic and international visitors to the Usumacinta floodplain, a coastal region with one of the highest biological and cultural diversities in Mexico. We combine analysis of social media photographs and high-resolution land cover mapping to identify different cultural services and their association with specific ecosystem and land cover types. Hotspots for international tourists are spatially restricted to well-known and accessible sites. Locals are 2.2–2.5 times more likely than international visitors to be associated with aesthetic appreciation and birdwatching. Locals upload more photographs of coastal lagoons, mangroves, beach and sea. Results are analyzed in light of land cover changes in the region and provide valuable information to decision makers for improved tourism management and conservation strategies.     

吉林省农产品进出口对农业经济增长的效应———基于出口扩展型生产函数的实证研究

吉林省是一个农业大省,农产品进出口在整个对外贸易中占有举足轻重的地位,进出口贸易与经济增长之间的相互关系历来也是学术研究的重点。文章首先分析吉林省农产品贸易的发展状况与特点,研究了吉林省农产品贸易对农业经济的贡献率与拉动率;然后以柯布道格拉斯生产函数为基础,构建出口扩展型生产函数模型,对吉林省农产品进出口与农业经济增长,农业劳动投入、资本投入与农业经济增长的关系进行了实证分析,结果表明吉林省农产品进出口、农业固定资本投入对农业经济增长均具有正向的促进作用,农业就业人数的变化对农业经济增长的作用不显著。其中吉林省农产品出口额每增加1%,会促进农业地区生产总值增加0.198%,进口每增加1%,促进农业经济增长0.205%,农产品进出口总额每增加1%,农业地区生产总值增加0.227%。因此,吉林省要努力发展外向型农业,提高优势农产品在国际市场上的份额;同时增加农业资本投入,优化投资结构。     

Do offline and online go hand in hand? Cross-channel and synergy effects of direct mailing and display advertising

Despite the rise of digital, direct mailing as a marketing communication tool remains relevant and widely applied in practice. Nevertheless, research into the effectiveness of direct mailing in the online environment is scant. Key questions that remain entail how direct mails affect different online and offline consumer activity metrics throughout the purchase funnel and how they interact with digital marketing communication tools. The current paper, therefore, investigates these two questions by conducting two studies. First, we focus on the effect of direct mailing on zip-code level upper, middle, and lower funnel performance metrics over time by analyzing quasi-experimental data from a large European insurance firm. The results reveal that direct mailing significantly influences consumer activity metrics in the online channel (i.e., online search and clicking behavior), in support of cross-channel effects of direct mailing. Moreover, direct mailing is shown to be effective throughout the purchase funnel, both directly and indirectly, with a positive net sales effect. Second, we study the joint effect of direct mailing and display advertising by analyzing field experiment data from the same insurance firm. The results show positive synergy between direct mailing and display advertising. Therefore, despite the rise of digital, direct mailing still serves as an effective marketing tool, both by itself and in combination with digital marketing.     

Forest governance and economic values of forest ecosystem services in Vietnam

Forest ecosystems deliver valuable services to humanity. However, many forests are being degraded and their services have been undervalued. The main problem lies in the inadequate institutional arrangements for forest governance. This paper aims to assess the effects of alternative forest governance arrangements on the provision and economic values of forest ecosystem services (FES) in Vietnam. The study presents a framework for mapping land use and land cover (LULC) change stemming from actual and hypothetical changes in forest governance regimes, quantifies the resulting changes in the provision of FES, and estimates the associated economic values. In the context of the study site in the North Western uplands of Vietnam, we test three alternative forest governance scenarios: business as usual, with a dominant government role; a community-based governance regime; and a private, individual-based forestry governance regime. Scenarios are based quite closely on the way these regimes are (or might be expected to be) implemented in Vietnam. For each forest governance scenario, we map LULC changes based on land suitability analysis and transition likelihood for the period 2010 − 2020. The resulting maps are used as inputs into the InVEST (Integrated Valuation of Environmental Services and Tradeoffs) model, which is used to estimate the quantity of three specific FES: carbon storage/sequestration, sediment yield, and water yield. We apply economic valuation methods to value these services: the social cost of carbon is used to estimate the economic values of carbon storage/sequestration; the cost of removing sediment deposited in reservoirs is applied for valuing the reduction of sediment yield, and the residual value of water supply for hydropower generation is used for valuing water yield. The results show that forest governance regimes have a significant effect not only on forest LULC, but also on the quantity and values of FES derived from forests. The FES are differentially affected by alternative forest governance regimes: some FES increase in quantity and value under some governance regimes and decrease under others. Of the three forest governance regimes examined, there is no one regime that will always be ‘better’ than the others in terms of provisioning all considered FES. For the specific context of Vietnam, we find that the private forest governance scenario is inferior to the community-based governance scenario, as an alternative to the current state-based governance. Because our results pertain to the scenarios as constructed, rather than generally to broad categories of governance regimes, there remains the possibility that regimes can be constructed that outperform all of those examined here.     

Cultural distance and international trade in services: A disaggregate view

In this paper, we estimate the effect of “cultural distance” on bilateral trade in services. The measure of cultural distance we use is based on scores that reflect country averages of individuals’ attitudes towards inequality, self-orientation, competition, uncertainty, traditions, and indulgence. Controlling for standard ingredients of gravity equations, we show that an aggregate measure of cultural distance has a significantly negative effect on total bilateral services trade. Once we take a more disaggregate view, we find that the strength of this effect differs across various types of services and various aspects of cultural distance.     

关键驱动力作用下的新疆生态系统服务时空格局分析

[目的]恶劣的生态环境和有限的资源驱动着新疆特殊生态系统服务的形成,人类又通过对生态系统服务的消费来满足和提高自身福祉,需要研究其时空变化并辨识主要驱动因素,支持区域可持续发展。[方法]文章构建了融合不同土地利用类型生态系统服务的价值量排序及服务功能强度矩阵的生态系统服务评估体系,并耦合3种关键驱动因子以评估各个因子的驱动强度,实现对生态系统服务热点与冷点变化的驱动及迁移分析。[结果]2000—2010年全疆生态系统服务总体增加,这一时期生态系统服务的热点区大部分转变为2010—2015年的冷点区,且15年来生态系统服务总体呈现小幅下降趋势。3个时期北疆和南疆人为干扰强度均呈增加趋势,由其驱动的生态系统服务则相应减小;南疆地区植被覆盖范围极其有限,故对生态系统服务驱动强度低;降水在北疆和南疆都能够产生高生态系统服务,但降水量的不稳定性能够使生态系统服务产生较大波动。相比于南疆地区,北疆生态系统在外界干扰下能够体现出更强的抗性和整体性,从而实现相对高效的生态系统服务输出。[结论]对关键驱动因子作用下的生态系统服务进行时空变化分析,有助于理解当地生态系统产生变化的原因,从而为当地生态环境保护提供参考。     

Incorporating textual information in customer churn prediction models based on a convolutional neural network

This study investigates the value added by incorporating textual data into customer churn prediction (CCP) models. It extends the previous literature by benchmarking convolutional neural networks (CNNs) against current best practices for analyzing textual data in CCP, and, using real life data from a European financial services provider, validates a framework that explains how textual data can be incorporated in a predictive model. First, the results confirm previous research showing that the inclusion of textual data in a CCP model improves its predictive performance. Second, CNNs outperform current best practices for text mining in CCP. Third, textual data are an important source of data for CCP, but unstructured textual data alone cannot create churn prediction models that are competitive with models that use traditional structured data. A calculation of the additional profit obtained from a customer retention campaign through the inclusion of textual information can be used by practitioners directly to help them make more informed decisions on whether to invest in text mining.     

Policy lessons from spatiotemporal enrollment patterns of payment for ecosystem service programs in Argentina

Payment for ecosystem services schemes (PES) are lauded as a market-based solution to curtail deforestation and restore degraded ecosystems. However, PES programs often fail to conserve sites under strong long-term deforestation pressures. Underperformance, in part, is likely due to adverse selection. Spatial adverse selection occurs when landowners are more likely to enroll parcels with low deforestation pressure than parcels with high deforestation pressure. Temporal adverse selection arises when parcels are enrolled for short time periods. In both cases, financial resources are allocated without having a sizeable impact on long-term land use change. Improving program performance to overcome these shortcomings requires understanding attributes of landowners and their parcels across large scales to identify spatial and temporal enrollment patterns that drive adverse selection. In this paper, we examine these patterns in Argentina’s PES program in Chaco forest, a global deforestation hotspot. Our study area covers 252,319 km². Results from multinomial logistic regression models showed that large parcels of enrolled land and parcels owned by absentee landowners exhibit greater evidence of spatiotemporal adverse selection than smaller parcels or parcels owned by local landowners. Furthermore, parcels managed under land use plans for conservation and restoration are more likely to be associated with adverse selection than parcels managed for financial returns such as harvest of non-timber forest products, silviculture, and silvopasture. However, prior to recommending that PES programs focus on land uses with higher potential earnings, a greater understanding is needed of the degree to which these land uses meet ecological and biodiversity goals of PES programs. We suggest that increased spatial targeting of enrollment, along with enrollment of local landowners and further incentives for land uses that support conservation and restoration, could promote long-term conservation of forest lands.