ABSTRACT This study aims to investigate dynamic relationships between research and development (R&D) expenditure, climate change (measured by annual rainfall and temperature variations), human capital (proxied by literacy) and total factor productivity (TFP) growth in Bangladesh agriculture. Pesaran’s Pooled Mean Group (PMG) estimator is used to a unique panel data of 17 regions of Bangladesh covering a 61-year period (1948–2008). In addition, the panel vector autoregression (PVAR) model is also applied to trace the responsiveness of TFP from a shock to R&D, extension services, and literacy rate. Results reveal that R&D has an insignificant impact on TFP in the short-run, while it has a significant positive impact in the long-run. The contributions of climate variables (i.e., rainfall and temperature variations) are highly significant and negative in the long run. The literacy rate is found to have a significant positive impact on TFP as expected. These results suggest that agricultural R&D investment and human capital could play an important role to ameliorate the adverse effects of climate change in the agricultural sector of Bangladesh. 相似文献
The present study endeavors to develop a deeper understanding of the motivational processes involved in intentional entrepreneurial behavior. For this purpose, it integrates the social cognitive approach of the theory of planned behavior (TPB) and the organismic theory of motivation of self-determination theory (SDT). More specifically, it tests the role of basic psychological needs of autonomy, competence and relatedness as defined in SDT in shaping university students’ attitudes and intentions toward entrepreneurship. The sample of this study consisted of 438 (Males?=?166, Females =272) 3rd and 4th year university students from four Malaysian Public Universities. The results of the study show that the model strongly explains about 71% of the variance in entrepreneurial intention. Basic psychological needs of autonomy, competence and relatedness have a strong indirect impact on entrepreneurial intention via their attitudinal antecedents: attitude, subjective norm, and perceived behavioral control. This indicates a full-mediational model, where the attitudinal factors operated as transmitters of effects from the distal constructs of SDT on entrepreneurial intention. These findings confirm that both SDT and the TPB provide complementary explanations of the motivational processes of entrepreneurial behavior. The study contributes to the existing knowledge by providing a theory-based understanding of the role of motivations in the formation of entrepreneurial intentions. It opens the way for future research to analyze how alternative motivations may affect new venture creation, survival and success.
This paper examines the distribution of climate change impacts across the sixteen Agro-Ecological Zones (AEZs) of Africa.
We combine net revenue from livestock and crops and regress total net revenue on a set of climate, soil, and socio-economic
variables with and without country fixed effects. Although African crop net revenue is very sensitive to climate change, combined
livestock and crop net revenue is more climate resilient. With the hot and dry CCC climate scenario, average damage estimates
reach 27% by 2100, but with the mild and wet PCM scenario, African farmers will benefit. The analysis of AEZs implies that
the effects of climate change will be quite different across Africa. For example, currently productive areas such as dry/moist
savannah are more vulnerable to climate change while currently less productive agricultural zones such as humid forest or
sub-humid AEZs become more productive in the future.
S. Niggol Seo is the Consultant to the World Bank. 相似文献
The paper examines the roles of health consciousness, food safety concern and ethical self‐identity in predicting attitude and purchase intention within the context of organic produce. A conceptual model is derived and tested via structural equation modelling. Findings indicate food safety as the most important predictor of attitude while health consciousness appears to be the least important motive in contrast to findings from some previous research. In addition, ethical self‐identity is found to predict both attitudes and intention to purchase organic produce, emphasizing that respondents' identification with ethical issues affects their attitude and subsequent consumption choices. 相似文献
Organizations differ in the range of e-procurement functionalities they use (breadth of use) and in how much they rely on e-procurement (depth of use). Nonetheless, factors affecting the breadth and the depth of e-procurement use have never been studied in a single context. Therefore, it is unclear whether the differences between the effects discovered in past studies are due to the difference between the breadth and the depth of use, or to the difference between contexts. We test the effects of factors potentially affecting the breadth and the depth of e-procurement use in a single context, using data from 151 small and medium enterprises (SMEs) in the manufacturing sector in New Zealand. The results indicate that the breadth and the depth of use of e-procurement in business organizations are influenced by different factors. Perceived relative advantage of using e-procurement, plus external pressure from suppliers and competitors to use e-procurement, result in the use of a broader range of e-procurement functionalities – in a greater breadth of e-procurement use. However, the extent of an organization’s reliance on e-procurement in organizational purchasing (i.e., depth of e-procurement use) is driven by compatibility of e-procurement with organizational values, practices, technology infrastructure, and strategy. Arguing that in order to benefit fully from e-procurement, an organization needs to integrate it deeply into its operations, we conclude that managers evaluating new e-procurement technologies should consider their compatibility with organizational norms and practices. 相似文献
This article proposes a new algorithm for grouping problems that is a grouping version of league championship algorithm (GLCA). We compare the performance of GLCA with several well-known algorithms published in the present literature and select a set of 20 most widely used benchmarks of cell formation sample problems posing as a grouping problem. We used a truncated geometric algorithm to find the number of initial cells. Our computations reveal that GLCA can reach the best-known solution for 17 of the 20 benchmark problems, and improve the solution of three others with a 1.4% average gap. 相似文献