REDD policy impacts on the agri-food sector and food security

Recent research shows that the combined contributions of deforestation, forest degradation and peat land emissions account for about 15% of greenhouse gas emissions. The REDD policy which preserves forests and values standing forests, enables substantial emission reductions. Since agricultural production and area expansion is a primary driver of tropical deforestation, REDD policies might limit the expansion possibilities of agricultural land use and therefore influence competitiveness of the agricultural sector, agricultural prices, trade patterns, agricultural production and therefore food security in the world. This paper studies the impact of REDD policies on the agri-food sector and food security with a global CGE model called MAGNET using a scenario approach. It focuses on the restrictions on agricultural land expansion within the REDD policy package. Simulation results show that REDD policies start to affect the agri-food sector in some lower developed countries if more than 15% of potentially available agricultural areas are protected from deforestation. A stringent REDD policy that protects 90% of land reserves that could potentially be used for agriculture production results in a global real agricultural price increase of almost 7.6%, and a worldwide agricultural production decrease of 1.7%. Regional differences are large, with real agricultural price changes ranging from 4% in North America to about 24% in Sub-Saharan Africa and South-East Asia. Food access rapidly deteriorates for low-income population in these regions in the case of high forest protection levels. Compensatory payments are necessary from a food security point of view if the level of forest protection increases. Our results indicate that from a food security perspective REDD policy should stop short of trying to protect more than 40% of global carbon if the compensation mechanism is not effectively implemented within REDD.     

Innovation ecosystems theory revisited: The case of artificial intelligence in China

Beyond the mainstream discussion on the key role of China in the global AI landscape, the knowledge about the real performance and future perspectives of the AI ecosystem in China is still limited. This paper evaluates the status and prospects of China's AI innovation ecosystem by developing a Triple Helix framework particularized for this case. Based on an in-depth qualitative study and on interviews with experts, the analysis section summarizes the way in which the AI innovation ecosystem in China is being built, which are the key features of the three spheres of the Triple Helix -governments, industry and academic/research institutions-as well as the dynamic context of the ecosystem through the identification of main aspects related to the flows of skills, knowledge and funding and the interactions among them. Using this approach, the discussion section illustrates the specificities of the AI innovation ecosystem in China, its strengths and its gaps, and which are its prospects. Overall, this revisited ecosystem approach permits the authors to address the complexity of emerging environments of innovation to draw meaningful conclusions which are not possible with mere observation. The results show how a favourable context, the broad adoption rate and the competition for talent and capital among regional-specialized clusters are boosting the advance of AI in China, mainly in the business to customer arena. Finally, the paper highlights the challenges ahead in the current implementation of the ecosystem that will largely determine the potential global leadership of China in this domain.     

The two dimensions of policy impacts on economic cohesion: Concept and illustration for the CAP

Given the growing importance of cohesion policy within the European Union (EU) during the last two decades, public and scientific interest in the role of EU policies for regional disparities has risen continuously. Recent empirical studies on the impacts of the Common Agricultural Policy (CAP) on economic cohesion have been strikingly diverse in their principal findings. Whereas some studies suggest positive overall effects on economic cohesion, others stress exactly the opposite. One major reason for the ambiguous results is that a single agreed-upon measure of economic cohesion is lacking. We propose a concept that distinguishes between two dimensions of policy impacts on economic cohesion: (i) the redistributive impact at a defined period of time and (ii) the change of the redistributive impact over time. The first dimension addresses the question whether a policy makes the distribution of a target variable, e.g., income, more equal or unequal at one point of time. The second dimension covers the impact of the policy on the disparity of the same variable over time, i.e., the impact on convergence. An empirical illustration of the concept for 13 NUTS 1 regions in Germany over the period 1991–2009 reveals that the two policy impacts of the CAP are partly contradictory for the two dimensions. It is shown that the CAP fosters economic cohesion by reducing regional disparities in each individual year. With regard to redistributive impacts over time, we find that CAP transfers leave income convergence largely unaffected for society as a whole. Within the agricultural sector, it leads to a convergence of receipts per farm whereas it induces a divergence of farm receipts per hectare.     

SMEs and artificial intelligence (AI): Antecedents and consequences of AI-based B2B practices

Development of small and medium enterprises (SMEs) is a key approach to achieving economic growth in the Middle East and successful adoption of technology is vital for SMEs' success and continuity. Artificial intelligence (AI) is part of a new generation of technologies that can facilitate competitive advantage but currently there is a lack of evidence regarding AI applications in relation to B2B SMEs in Middle East countries. Therefore, this study empirically examines antecedents to, and consequences of, successful acceptance of AI practices by B2B SMEs in Saudi Arabia. A conceptual model based on the technology-organisation-environment framework is developed which considers the impact of AI enablers and AI readiness on the acceptance of AI practices, and the impact of this on relational governance, performance, and SMEs' AI-based business customer interaction. The conceptual model was tested using structural equation modelling of survey data collected from B2B SMEs (n = 392). The results showed that, of the AI enablers, acceptance of AI practices was significantly influenced by both technology roadmapping and attitude but not professional expertise. Of the AI readiness variables, acceptance of AI practices was significantly influenced by infrastructure and awareness but not technicality. The acceptance of AI practices was found to significantly affect AI-enabled relational governance and performance, and SME's business customer AI-based interaction. This study provides a broader base for theoretical and practical understanding of issues related to AI practices in SMEs and the B2B sector in general.     

Modelling of potential food policy interventions in Fiji and Tonga and their impacts on noncommunicable disease mortality

Background

To compare the likely costs and benefits of a range of potential policy interventions in Fiji and Tonga targeted at diet-related noncommunicable diseases (NCDs), in order to support more evidence-based decision-making.

Method

A relatively simple and quick macro-simulation methodology was developed. Logic models were developed by local stakeholders and used to identify costs and dietary impacts of policy changes. Costs were confined to government costs, and excluded cost offsets. The best available evidence was combined with local data to model impacts on deaths from noncommunicable diseases over the lifetime of the target population. Given that the modelling necessarily entailed assumptions to compensate for gaps in data and evidence, use was made of probabilistic uncertainty analysis.

Results

Costs of implementing policy changes were generally low, with the exception of some requiring additional long-term staffing or construction activities. The most effective policy options in Fiji and Tonga targeted access to local produce and high-fat meats respectively, and were estimated to avert approximately 3% of diet-related NCD deaths in each population. Many policies had substantially lower benefits. Cost-effectiveness was higher for the low-cost policies. Similar policies produced markedly different results in the two countries.

Conclusion

Despite the crudeness of the method, the consistent modelling approach used across all the options, allowed reasonable comparisons to be made between the potential policy costs and impacts. This type of modelling can be used to support more evidence-based and informed decision-making about policy interventions and facilitate greater use of policy to achieve a reduction in NCDs.     

Domestic and international impacts of the rice trade policy reform in the Philippines

Faced with high domestic rice prices that have fueled inflation above the 2018 target and penalized poor consumers the most, the government of the Philippines has decided to abandon the quantitative restrictions on imports and replace them with tariffs. This paper uses a global rice model based on a partial equilibrium framework to assess the possible impacts of this reform on imports, production, consumption and prices. In contrast with past similar studies, we address three key concerns (i) the heterogeneity in farm price across 16 regions in response to the combined effect of the tarriffication and the average historical trend in productivity increase at 1.5% between 2001 and 2018, (ii) the differentiation of imports by origin partly due to the different tariffs applied to countries within and beyond the Association of South East Asian Nations, and (iii) the effect on domestic prices in third countries. The simulation results suggest that the reform would increase imports by 2.47 million tons (20.7%) in 2019. We also find a large decline in farm prices and retail prices respectively by PhP 6.1/kg (30.1%) and PhP 7.6/kg (17.4%) in 2019 that explains an increase in rice consumption. We estimate the fall in total inflation at 1.2% in 2019 but less over time. Further, the large fall in farm prices in 2019 is shared quite evenly among regions in the short term but returns to pre-reform levels in the near term. Using a higher price elasticity of supply for one region obtained from panel data surveys, we show a more pronounced decline in production than the national average. Such differentiated results confirm the relevance of using a regionally disaggregated model to design more targeted policies. We also show a slight increase in world prices, which led to small increases in the domestic prices of South and Southeast Asian rice markets. While this reform is largely pro-poor consumers, policy makers would need to use the additional tariff revenue to help rice growers either increase their competitiveness and modernize their rice production or shift to other crops.     

Mind the gender gap: Inequalities in the emergent professions of artificial intelligence (AI) and data science

The emergence of new prestigious professions in data science and artificial intelligence (AI) provide a rare opportunity to explore the gendered dynamics of technical careers as they are being formed. In this paper, we contribute to the literature on gender inequality in digital work by curating and analysing a unique cross-country data set. We use innovative data science methodology to investigate the nature of work and skills in these under-researched fields. Our research finds persistent disparities in jobs, qualifications, seniority, industry, attrition and even self-confidence in these fields. We identify structural inequality in data and AI, with career trajectories of professionals differentiated by gender, reflecting the broader history of computing. Our work is original in illuminating gendering processes within elite high-tech jobs as they are being configured. Paying attention to these nascent fields is crucial if we are to ensure that women take their rightful place at forefront of technological innovation.     

Consequences of a coexistence policy on the adoption of GMHT crops in the European Union

This article examines the adoption of genetically modified herbicide tolerant (GMHT) crops in the European Union (EU) prior to its commercial release. A set of potential drivers including the implementation of coexistence measures by farmers, farmers’ own motivational factors (e.g. economic, environmental and technical factors) and perceived social pressure to accept or reject adoption may influence European Union farmers’ willingness to adopt GMHT oilseed rape and GMHT maize. The analysis includes economic and sociological factors. Results show that coexistence measures may hamper GMHT adoption in the EU.     

Jobs and agricultural policy: Impact of the common agricultural policy on EU agricultural employment

This paper investigates the relationship between EU agricultural subsidies and the outflow of labor from agriculture. We use more representative subsidy indicators and a wider coverage (panel data from 210 EU regions over the period 2004-2014) than has been used before. The data allow to better correct for sample selection bias than previous empirical studies. We find that, on average, CAP subsidies reduce the outflow of labor from agriculture, but the effect is almost entirely due to decoupled Pillar I payments. Coupled Pillar I payments have no impact on reducing labor outflow from agriculture, i.e. on preserving jobs in agriculture. The impact of Pillar II is mixed. Our estimates predict that an increase of 10 percent of the CAP budget would prevent an extra 16,000 people from leaving the EU agriculture sector each year. A 10 percent decoupling would save 13,000 agricultural jobs each year. However, the budgetary costs are large. The estimated cost is more than € 300,000 per year (or more than € 25,000 per month) per job saved in agriculture.     

Performance measurement impacts on management and leadership: Perspectives of management and employees

The study focuses on the impacts of performance measurement (PM) on management and leadership—a research area that has not received much attention in the literature. The empirical part of the study is based on 24 interviews from eight case organizations applying the Balanced Scorecard (BSC). Representatives of both management and employees were interviewed in each case organization. The study concludes that performance measurement can only support, not replace managers in leading people. The study shows that when operating with a performance measurement system (PMS), the increased interactivity between the management and the employees leads to higher performance.     

Research notes and communications: The effect of product recall announcements on shareholder wealth

Previous research Has found that product recall announcements in the automobile industry are associated with negative abnormal returns. We extend this research by examining announcements of product recalls and products taken off the market outside the automobile industry. We find negative abnormal returns for these announcements and that the returns are significantly more negative when products are replaced (or the purchase price is returned) than when the products are checked and repaired. We find only limited evidence that government-ordered recalls produce more negative returns than voluntary recalls.     

Research notes and communications management and organizational change: A note on the railroad industry

Hypotheses which relate top-level managers' age, years of company and industry service, and education to strategic change are studied with a sample of 855 managers from 27 railroads. Results generally support hypotheses that younger managers and those with less experience are more likely to alter their strategies with changing environmental conditions.     

The influence of US foreign DBS policy on Indian DBS TV: a case study of policy transfer

By and large academics and professional analysts disagree over the efficacy of US Congressional fora to facilitate policy transfer in terms of influencing foreign countries to privatize their local and national markets. This study addresses the issue of policy transfer within the context of the Indian (direct broadcast satellite) DBS television regulatory framework. Specifically, a link is drawn between two particular US Congressional hearings of the early 1980s and a landmark Indian Bill enacted in 1997. The approach to demonstrating the link involves three distinct components. The first offers a brief background on India's DBS policy dynamics. The second presents a number of policy documents and fora which substantiate the strength of the relationship between the two mentioned US Congressional forums and the 1997 Indian Bill. The third offers a discussion of how policy transfer and convergence serve as useful analytical tools to assess why the two US policy fora may have been so effective in the Indian case. Policy transfer and convergence also have strong explanatory value in drawing insights into negotiating dynamics between US and Indian official representatives at the General Agreement on Tariffs and Trade (GATT) during the last fifteen years over DBS trade issues.     

The influence of policy networks on policy output. A comparison of organic farming policy in the Czech Republic and Poland

Although, at the time of accession to the EU, organic farming policies formally were equally developed in the Czech Republic and Poland, a closer investigation reveals some variation. This paper takes a policy network perspective to explore the policy differences between these two countries. Common network themes are used to link networks with policy output. It is argued that the capacity of the organic sector and its structural organization, its cohesion, and the relationship between organic interest groups and the government affect the political discourse, and, in consequence, how organic farming policy is elaborated.     

Convergence and new regulatory frameworks: A comparative study of regulatory approaches to Internet telephony

As an archetype of convergence, Internet telephony has been questioning the continuing appropriateness of the current telecommunications policy and regulation. This article examines how policy makers and regulators in the US, the EU, Japan and Singapore have responded to the challenges brought about by Internet telephony. Their common approach seems to apply the existing regulatory framework to this new service. The authors argue that those responses will not be aligned with the dynamically changing communications environment and explain two key shifts taking place in the communications industry that should be taken into account to form more appropriate regulatory frameworks.     

Telecommunications policy and individuals with disabilities: Issues of accessibility and social inclusion in the policy and research agenda

Information and communications technologies have become an integral part of life in an information society, affecting employment, education and many other daily activities. For individuals with disabilities, equal access to telecommunications remains a concern, as many technologies that are developed do not allow for equal access. Law and policy have made significant progress in some nations, but sizeable barriers remain to the social inclusion of individuals with disabilities in telecommunications technologies and services. This paper examines the importance of equal access to telecommunications for individuals with disabilities in both the formulation and the implementation of policy. Analyzing issues of policy and implementation, this paper discusses policy questions and potential areas of research to better understand the relationship of telecommunications policy to access for persons with disabilities.     

Genetically modified food labeling: The impacts of message and messenger on consumer perceptions of labels and products

We analyze responses to a survey designed to elicit consumer reaction to various approaches to labeling genetically modified (GM) foods. Consumers were shown sample labels that differed with respect to claims concerning the presence and potential effects of GM ingredients and the agency that certified these claims. A sample of 1898 US consumers rated 3681 labels with regard to the credibility and adequacy of the information content, with regard to perceived health and environmental impacts of the product and with regard to purchase intent. Simple claims that a product contains GM ingredients are viewed as most credible while simple claims of no GM content are viewed as most adequate. Label claims certified by the US Food and Drug Administration (FDA) are, in general, viewed as most credible and adequate and products with FDA certified claims are perceived to have fewer long-term health problems. Several practical policy implications of the results are discussed, including how different label messages may impact consumer reactions in markets involving GM products.     

Emotions and salesperson propensity to leave: The effects of emotional intelligence and resilience

Emotions constitute a powerful psychological force that can significantly influence the behavior and performance of salespeople. However, emotions in the workplace still constitute an under-developed area of study, mainly in the field of sales. Sales turnover is also particularly important in relation to sales management due to the nature of sales positions, their historically high turnover levels, and the difficulty involved in filling them.In view of the need to broaden knowledge on how to more successfully retain valuable salespeople, and the fact that B2B selling jobs are not the same across the board, this paper, while controlling the type of selling situation, analyzes the influence of two emotional skills (i.e. emotional intelligence and resilience) on salesperson propensity to leave their organization, both directly and indirectly, through their impact on work–family conflict and emotional exhaustion. The moderating effect of servant leadership perceived by salespeople on the relationship between emotional exhaustion and intention to leave is also addressed. Information provided by 209 salespeople from 105 enterprises from various industries confirms the hypotheses put forward and highlights the importance of encouraging the development of emotional skills as a way of alleviating work stress and reducing salesperson turnover. In addition, the results confirm the contribution of servant leadership towards reducing the effect of emotional exhaustion on salesperson intention to leave.