External corporate venturing modes as new way to develop dynamic capabilities

Today, firms encounter scarce resources and rapid technology change which render formerly successful business models obsolete. Research shows that some firms perform better than others in continuously discovering, evaluating, and exploiting opportunities in volatile environments and that this is dependent on firm’s dynamic capabilities. Besides obtaining dynamic capabilities through internal R&D activities, firms have open up their innovation process to pursue dynamic capabilities outside their organizational boundaries through external corporate venturing by accessing startup's technological capabilities necessary to innovate. External corporate venturing is a means to develop new distinctive capabilities and businesses by exploring and exploiting business opportunities outside a firm’s existing boundaries. Drawing on the dynamic capability literature, we use a multiple case study approach to examine the contribution of external corporate venturing to firms’ dynamic capabilities. Our results reveal that firms indeed use corporate venturing to identify and exploit startup’s technological knowledge and competencies to increase firm’s dynamic capabilities. But our empirical data also shows that not every firm is fully profiting from all dynamic capability phases as their corporate venturing modes are not linked with each other and cumulative effects are not realized.     

Does computer penetration increase farmers’ income? An empirical study from China

The diffusion and adoption of modern information technology provide new chance for China to close urban-rural income gap. This paper uses China's provincial panel data from 2002 to 2013 to investigate the effect of computer penetration on rural residents' income. A public program aiming to connect every village with broadband Internet and other rural facilities provides plausibly exogenous variation in rural residents' availability and adoption of the broadband Internet, which is used to explore the instrument variable for rural computer penetration. The results show that rural computer penetration tends to increase rural residents' income over time, but the average effect remains limited. The dynamic panel threshold effects model, which allows for both the threshold variable and other covariates to be endogenous, is further used to explore the constraints of the income-increase effect of rural computer penetration. It shows that the effect is at least doubled over the average effect estimated from instrument variables method, once the digital divide causes are removed. Our findings have important implications for the government to increase rural residents' income and reduce urban-rural income gap by encouraging rural computer usage and removing the digital divide.     

Stock market reactions to domestic sentiment: Panel CS-ARDL evidence

This study sets out to explore the effects of business and consumer sentiment on stock market performance, within the separate contexts of advanced and emerging markets. The empirical analysis is carried out using the cross-sectionally augmented autoregressive distributed lag (CS-ARDL) modeling approach, which considers time dynamics, cross-sectional heterogeneity, and cross-sectional dependence. The findings for developed markets suggest that business sentiment has positive leading effects on stock returns, across short- and long-term time horizons, while for emerging markets, the price impact of business sentiment turns out to be short-lived. On the other hand, consumer sentiment tends to affect positively both market types, albeit only in the short run. Furthermore, the influence of sentiment indicators seems to be stronger in emerging- than in developed-market countries. The results remain robust, even after controlling for a rich range of potential predictors of stock returns. Generally, such evidence highlights the relevance of psychological factors, such as business and consumer sentiment, in determining the future trajectory of asset prices.     

研发市场界定的适用困境及应对策略

研发市场是经营者在特定产品和技术竞争中形成的市场范围。由于研发活动的不确定性，反垄断执法机关在界定研发市场时难以准确厘定市场边界，更深层次的原因在于维持竞争与激励研发的关系尚不明晰。研发竞争中的垄断行为难以通过相关市场界定的方式判断其违法性，需要结合具体案情和市场条件，动态分析涉案行为是否损害产品或技术研发竞争。     

Foreign direct investment and economic growth: Is more financial development better?

We investigate the extent to which an increase in financial development affects the positive effect of foreign direct investment on economic growth. Although the financial sector is beneficial for economic growth, the effect of further financial development on growth is found to become insignificant. Using a dynamic panel threshold model on 62 middle- and high-income countries spanning the period 1987–2016, we re-examine the possible nonlinearity between finance, foreign direct investment, and growth. Consistent with the “vanishing effect” of financial development, we find significant evidence that foreign direct investment fosters growth in general, but the growth effect of foreign direct investment becomes negligible when the ratio of private sector credit to gross domestic product exceeds 95.6%. This finding is robust to different econometric methods, various subsamples and interaction analyses, and distinct financial development indicators.     

The role of gender and its potential channels to affect self-employment in Taiwan

This research investigates the gender differences in the self-employment sector by employing a dynamic panel model with county- and city-level data from 1998 to 2016 in Taiwan. Our study is distinct from most others in this issue in that we explore not only the inter-gender difference, but also the intra-gender differences in self-employment. Following this framework, we first find that women are on average less likely to self-employ than men, and further find that older men, married men, men living in lower income regions and women living in higher income regions are more likely to become self-employed compared to their respective reference groups. We thus argue that gender influences self-employment not only directly but also through interactions with other demographic variables. Separate evaluation of different groups based on demographics should therefore result in better targeting of policies.     

Change or perish: Examining the role of human capital and dynamic marketing capabilities in the hospitality sector

Many researchers have endeavored to explain which factors contribute to sustainable competitive advantage. Toward this end, this study contributes to the marketing and hospitality management literature by providing empirical evidence on how human capital, dynamic marketing capabilities, and market dynamism influence competitive advantage in the hotel sector. We collected cross-sectional survey data from marketing and sales managers in 165 hotels, along with in-depth interviews in three hotels, based in four Gulf Cooperation Council (GCC) countries, namely, Saudi Arabia, Qatar, United Arab Emirates and Bahrain. The findings reveal that human capital directly, and indirectly through dynamic marketing capabilities, plays a critical role on developing competitive advantage. To contextualize this role, our research reveals that market dynamism moderates the mediated relationship between human capital and competitive advantage via market sensing capabilities. We discuss how the findings offer theoretical and managerial implications for the development of competitive advantage in the hotel sector.     

Is forest carbon sequestration at the expense of bioenergy and forest products cost-efficient in EU climate policy to 2050?

Forest management affects the quantity of CO₂ emissions in the atmosphere through carbon sequestration in standing biomass, carbon storage in forest products and production of bioenergy. The main question studied in this paper is whether forest carbon sequestration is worth increasing at the expense of bioenergy and forest products to achieve the EU emissions reduction target for 2050 in a cost-efficient manner. A dynamic cost minimisation model is used to find the optimal combination of carbon abatement strategies to meet annual emissions targets between 2010 and 2050. The results indicate that forest carbon sequestration is a low-cost abatement method. With sequestration, the net present costs of meeting EU carbon targets can be reduced by 23%.     

Forecasting China's GDP growth using dynamic factors and mixed-frequency data

Forecasting GDP growth is important and necessary for Chinese government to set GDP growth target. To fully and efficiently utilize macroeconomic and financial information, this paper attempts to forecast China's GDP growth using dynamic predictors and mixed-frequency data. The dynamic factor model is first applied to select dynamic predictors among large amount of monthly macroeconomic and daily financial data and then the mixed data sampling regression is applied to forecast quarterly GDP growth based on the selected monthly and daily predictors. Empirical results show that forecasts using dynamic predictors and mixed-frequency data have better accuracy comparing to traditional forecasting methods. Moreover, forecasts with leads and forecast combination can further improve forecast performance.     

Quantifying land-use change impacts on the dynamic evolution of flood vulnerability

Recently, dramatic flood disasters have occurred incrementally in several regions of the world. Land-use change as one of the main affecting factors becomes a key component in flood risk management. This study strives to deal with quantifying how changes in land use to affect the dynamic evolution of flood vulnerability. The floodplains of Wuhan, which are located in the Yangtze River Basin, have been selected as an example. In this paper, we use GIS to gather different historical geometric data as sources of land-use information. By proposing the Simpsons-dominance index and location index to analyze the characteristics of land-use changes, and building a quantitative model to measure flood vulnerability, a series of flood vulnerability maps demonstrate differential flood vulnerability of floodplains of Wuhan in three inundation scenarios and four historical periods. Finally, the non-parametric correlation is used to reveal the interactive effect of land use and flood vulnerability. Based on this study, comprehensive flood disaster management strategies for land-use planning are proposed for government decision-makers to reduce the flood vulnerability of Wuhan in future.