西部地区财政科技支出的经济增长效应

科学技术是第一生产力，科技投入无论是在推动经济增长还是促进社会发展方面，都有着举足轻重的重要作用。通过协整检验、格兰杰因果检验等方法，研究2006年-2020年西部地区财政科技支出对区域经济增长的作用。实证结果表明，西部地区的财政科技支出与经济增长之间存在着长期的均衡关系。因此，应进一步加大及合理安排政府财政科技资金的投入，加强资金监管，提高资金使用效率，更好地促进经济发展与社会进步。     

Measuring Farm and Market Level Economic Impacts of Improved Maize Production Technologies in Ethiopia: Evidence from Panel Data

While it is often recognised that agricultural technology adoption decisions are intertwined and best characterised by multivariate models, typical approaches to examining adoption and impacts of agricultural technology have focused on single technology adoption choice and ignored interdependence among technologies. We examine farm‐ and market‐level impacts of multiple technology adoption choices using comprehensive household survey data collected in 2010/11 and 2012/13 in Ethiopia. Economic surplus analysis combined with panel data switching endogenous regression models are used to compute the supply shift parameter (K‐shift parameter), while at the same time controlling for the endogeneity inherent in agricultural technology adoption among farmers. We find that our improved technology set choices have significant impacts on farm‐level maize yield and maize production costs, where the greatest effect appears to be generated when various technologies are combined. The change in maize yield and production costs results in an average 26.4% cost reduction per kilogram of maize output (the K‐shift parameter). This increases the producer and consumer surpluses by US$ 140 and US$ 105 million per annum, respectively. These changes in economic surplus help to reduce the number of poor people by an estimated 788 thousand per year. We conclude that deliberate extension efforts and other policies that encourage integration of technologies are important for maize technologies to yield their full potential at both farm and market levels.     

Industry risk transmission channels and the spillover effects of specific determinants in China’s stock market: A spatial econometrics approach

This paper uses a spatial econometrics approach to study the industry risks in China’s stock market. We comprehensively consider the real linkage and information risk transmission channels and analyze the risk spillovers of specific determinants. Our empirical results show the following: 1) The real linkage channel and information channel are both effective transmission channels for driving spillover effects, and the information channel is of the utmost importance. 2) The spillover effects of specific determinants exist and are persistent. The superposition of spillover effects may lead to extreme risk. 3) The transmission channels and spillover effects are asymmetric in different regimes.     

Instructional Manipulation Checks: A longitudinal analysis with implications for MTurk

Instructional Manipulation Checks (IMCs) assess respondent behavior by, for example, asking participants not to answer a trick question. We find IMCs can be used to detect problematic response behavior in longitudinal surveys. This is important because a Latent Class Analysis based on IMC-failure in the two reported studies reveals that between 9% and 12% of respondents can be labelled Inattentive Stayers at the first survey-wave and between 13% and 17% at the third wave. The tendency of Inattentive Stayers to remain in the panel is particularly relevant for online panel services such as MTurk, with workers participating in many surveys over longer time-periods. We find IMC-failure to be mitigated by a warning to respondents that their attention will be checked early in the survey, but not by repeated exposure to IMCs, or a timer leaving questions on the screen longer. Respondent personality also plays a role in IMC-failure, which implies persistency of undesirable respondent behavior.     

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.     

The impacts of governance and institutions on inbound tourism demand: evidence from a dynamic panel data study

This study explores the impact of governance and institutions on inbound tourism demand in Malaysia using a dynamic panel data approach for 45 tourism source countries over the period 2005–2015. The results show that institutions play a very important role in explaining the behaviour of inbound tourism demand. To obtain a better picture, we investigate the response of international tourists to disaggregated institutional quality. We find that international tourists are more concerned about political stability, governmental effectiveness, regulations, laws, and corruption than voice and accountability. Therefore, policymakers should focus on ways to improve institutional quality to significantly increase international tourist arrivals.     

Do firms leverage the FDA nutrient label rounding rules to generate favorable nutrition fact panels or health claims?

The increasing incidence of nutrition related health concerns has made food labeling an important policy issue. Previous work suggests the importance of communicating nutrition information to consumers through product packaging. This paper investigates the role of labeling guidelines, which allow the rounding of calorie and nutrient levels on nutrition fact panels and affects front of package claims. We examine ready-to-eat cereal products as a bundle of nutrient attributes, and estimate the likelihood and magnitude of the rounding of specific nutrients and calories. We find systematic rounding, both up and down, of several nutrients, which affects allowable health claims and may influence consumer product choice and health outcomes.     

Is real per capita state personal income stationary? New nonlinear,asymmetric panel-data evidence

This paper re-examines the stochastic properties of U.S. state real per capita personal income, using new panel unit-root procedures. The new developments incorporate non-linearity, asymmetry, and cross-sectional correlation within panel-data estimation. Including nonlinearity and asymmetry finds that 43 states exhibit stationary real per capita personal income whereas including only nonlinearity produces 42 states that exhibit stationarity. Stated differently, we find that two states exhibit nonstationary real per capita personal income when considering nonlinearity, asymmetry, and cross-sectional dependence.     

中国木质家具出口贸易与汇率波动关系研究

木质家具是我国最重要的出口林产品之一。人民币汇率改革后,人民币总体呈升值趋势,这一趋势提高了国产木质家具的出口价格,会产生阻碍出口的作用;与此同时其也会使进口原材料价格相对降低、促进原材料的进口,二者相互作用会共同影响木质家具出口额。通过建立回归模型,研究人民币汇率波动对中国木质家具出口贸易额的影响,结果表明人民币汇率与中国木质家具出口额呈负相关,但是通过人民币贬值来促进出口的策略并不明智。     

Is DNA fingerprinting the gold standard for estimation of adoption and impacts of improved lentil varieties?

In the early 1980s, disease susceptibility in short-season lentil landraces began to limit productivity in areas where relay cropping took place in Bangladesh. Since then, several improved high-yielding lentil varieties, which are resistant to rust and blight and suitable in the relay cropping system, have been released jointly by national and international research centers. This study used three methods, namely a panel of experts, a survey of 1000 households where the respondents named the variety they used, and DNA fingerprinting of seed samples collected from all lentil plots cultivated by survey households to estimate adoption. Double hurdle and instrumental variables regression methods were applied to the household survey and DNA fingerprinting data to identify determinants of adoption and measure their impacts. Of particular interest was whether estimates of adoption, determinants of adoption and impacts varied by method of variety identification. Results showed that the expert panel overestimated the adoption of more recent varieties while about 89% of the farmer-reported varieties were accurate, as verified by DNA fingerprinting. DNA fingerprinting appears to have little advantage for estimating the level of adoption in this case, where few varieties of lentils are found, local variety names do not exist, and most seed is obtained through a formal system. However, even under these conditions, determinants of adoption vary by identification method, and use of farmer-reported information on the variety can lead to erroneous conclusions about determinants of adoption. Because recent breeding efforts have focused on taste and cooking considerations, yield impacts were not significantly different from zero.