The impact of foreign direct investment on productivity: New evidence for developing countries

We provide new empirical evidence on the relationship between inward foreign direct investment (FDI) and total factor productivity (TFP) growth using cross-country data for 51 developing countries over the period 1984–2010. Our results suggest a weak direct effect of FDI on TFP growth but, after accounting for the roles of human capital and institutions as contingencies in the FDI-TFP growth relationship, we find a robust FDI-induced productivity growth response dependent on these ‘absorptive capacities’. However, the relevance of the human capital contingency effect diminishes when the effect of institutions is also considered, which suggests that improving institutions is relatively more important than human capital development for developing countries to realise productivity gains from FDI.     

The Effect of Foreign Entry Regulation on Downstream Productivity: Microeconomic Evidence from China*

We examine the cross‐industry influence of foreign entry regulation (based on a novel measure) on the productivity outcomes of downstream firms through input–output linkages in China. In contrast to the significant liberalization of the manufacturing sector, restrictions on the service sector remained stringent over the period 1997–2007. We find a powerful depressant effect of foreign entry barriers imposed on the upstream manufacturing and service industries on the productivity of downstream manufacturers, and this effect depends on a number of industry‐ and firm‐specific features. Our research calls for further investment liberalization (particularly in the service sector) in China.     

基于DEA模型的建筑业环境行为效率评价研究

对建筑企业进行环境行为效率评价是促进我国建筑行业健康可持续发展的重要手段。根据建筑行业特点及我国现有的企业环境信用标准,构建了建筑企业环境行为评价的投入产出指标体系,将改进的数据包络分析方法模型运用到企业环境行为效率评价领域,解决了现有企业评价研究主观性突出的问题,得出建筑企业评价分析方法。在此基础上对某代表性建筑企业2010—2017年环境行为数据进行了评价分析。分析结果表明该企业环境行为总体效率良好,但鉴于出现了奇数年和偶数年的效率波动情况,仍需提高环境行为效率。     

Hyperbolic normal stochastic volatility model

For option pricing models and heavy-tailed distributions, this study proposes a continuous-time stochastic volatility model based on an arithmetic Brownian motion: a one-parameter extension of the normal stochastic alpha-beta-rho (SABR) model. Using two generalized Bougerol's identities in the literature, the study shows that our model has a closed-form Monte Carlo simulation scheme and that the transition probability for one special case follows Johnson's distribution—a popular heavy-tailed distribution originally proposed without stochastic process. It is argued that the distribution serves as an analytically superior alternative to the normal SABR model because the two distributions are empirically similar.     

The role of corrosive internalisation and denial of responsibility in stabilising inequality in South Africa

ABSTRACT

This paper examines how capabilities inequality is stabilised through its consequences on those at both ends of the distribution. It outlines the development of the balance model, which is argued to help highlight these consequences. Specifically, how adverse environments associated with lack of access to resources and poor treatment can lead to internal consequences which further corrode capabilities. At the same time, denial of this corrosion or its importance is critical for those who benefit from the inequality. To avoid moral constraints being triggered it is important, necessary even, for them to see those who suffer as outside of their moral universe, or their suffering to be in no way associated with their advantage. Corrosion and denial work to stabilise the system. For those in the middle of the distribution, they may work to do so in combination. Appreciating these internalised consequences is key to addressing inequality in South Africa.     

An application of two-stage quantile regression to insurance ratemaking

Two-part models based on generalized linear models are widely used in insurance rate-making for predicting the expected loss. This paper explores an alternative method based on quantile regression which provides more information about the loss distribution and can be also used for insurance underwriting. Quantile regression allows estimating the aggregate claim cost quantiles of a policy given a number of covariates. To do so, a first stage is required, which involves fitting a logistic regression to estimate, for every policy, the probability of submitting at least one claim. The proposed methodology is illustrated using a portfolio of car insurance policies. This application shows that the results of the quantile regression are highly dependent on the claim probability estimates. The paper also examines an application of quantile regression to premium safety loading calculation, the so-called Quantile Premium Principle (QPP). We propose a premium calculation based on quantile regression which inherits the good properties of the quantiles. Using the same insurance portfolio data-set, we find that the QPP captures the riskiness of the policies better than the expected value premium principle.     

Assessing cost‐effectiveness when environmental benefits are bundled: agricultural water management in Great Barrier Reef catchments

Using economic analysis to prioritise improvements in environmental conditions is particularly difficult when multiple benefits are involved. This includes ‘bundling’ issues in agricultural pollution management, where a change in management action or farming systems generates multiple improvements, such as reductions in more than one pollutant. In this study, we conceptualise and compare two different approaches to analysing cost‐effectiveness when varying bundles of benefits are generated for a single project investment. Each approach requires data to be transformed in some way to allow the analysis to proceed. The index approach requires the transformation on the benefits side so that the effects of multiple pollutant changes can be combined into a measure for each project which can then be compared to costs. By comparison, the disaggregation approach requires the transformation on the costs side where costs for each project have to be apportioned across the different pollutants involved. The paper provides novel insights with an application to agricultural water quality improvements into the Great Barrier Reef in Australia, demonstrating that while both approaches are effective in prioritising projects by cost‐effectiveness, the disaggregation approach provides more insightful results and values that may be relevant for use as upper value guidelines in future project selection.     

The impact of climate change on labour demand in the plantation sector: the case of tea production in Sri Lanka

Limited opportunities for crop switching and lengthy preharvesting periods make the plantation sector particularly vulnerable to climate change. Surprisingly, however, the economic consequences of climate change on plantation crops are seldom analysed. Drawing on a unique primary panel data set from a representative cross section of 35 tea estates in Sri Lanka over the period 2002–2014, this study implements a structural model of estate profit maximisation to estimate the elasticity of labour demand with respect to different components of weather. Results indicate a negative relationship between labour demand and rainfall in the south‐west monsoon, the north‐east monsoon and the second inter‐monsoon. A positive relationship is found between labour demand and rainfall in the first inter‐monsoon. Overall, predicted changes in rainfall by 2050 are anticipated to reduce labour demand by approximately 1,175,000 person‐days per year across Sri Lanka's tea plantation sector. This is likely to have considerable social and welfare implications, particularly for the Indian Tamil women who comprise the majority of the sector's workforce.     

Tax incentive,R&D investment and firm innovation: Evidence from China

We estimate the effect of R&D tax incentives on firm-level R&D expenditures (RDE) and patenting using a change in the eligibility criteria for a super deduction in China. In 2006, the Chinese government relaxed the “10 % eligibility criterion”, which stated that only firms with a 10 % or higher increase in prior-year RDE can claim an additional 50 % tax deduction. We use an event study approach to show that firms that became newly eligible to claim the super deduction (those just below the criterion) catches up on RDE and product innovation measured by the sales of new products. In the long run, we also observe a closing gap in the number of patents between the two groups of firms. Moreover, extending tax benefits to all firm helps to lower the tax burden, and we find no evidence of manipulation and relabeling.     

巢湖派河流域清水廊道技术产业推广模式的构建

派河为巢湖一级支流，水质差，针对派河流域开展了多项研究，产生了多项清水廊道技术，尚缺乏有效的产业化推广模式，基于此，构建了多层次、多元化清水廊道技术产业推广模式（“2S”VIP）。该模式包括组织机构、运行机制、推广模式平台、保障措施等。其中清水廊道技术推广模式平台包括综合技术信息平台、综合服务平台、产业化推广平台，以综合技术信息平台为支撑，以互联网+、大数据等为手段，综合服务平台为依托，产业化推广平台实现技术与市场的衔接。在政府的引导和监督下，通过一系列保障措施使各平台能顺利运行，达到产、学、研、用的有机融合。