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High levels of child obesity alongside rising stunting and the absence of a coherent food policy have deemed UK’s food system to be broken. The National Food Strategy (NFS) was debated intensely in media, with discussions on how and who should fix the food system.

Using a mixed methods approach, the authors conduct framing analysis on traditional media and sentiment analysis of twitter reactions to the NFS to identify frames used to shape food system policy interventions.

The study finds evidence that the media coverage of the NFS often utilised the tropes of “culture wars” shaping the debate of who is responsible to fix the food system – the government, the public or the industry. NFS recommendations were portrayed as issues of free choice to shift the debate away from government action correcting for market failure. In contrast, the industry was showcased as equipped to intervene on its own accord. Dietary recommendations made by the NFS were depicted as hurting the poor, painting a picture of helplessness and loss of control, while their voices were omitted and not represented in traditional media.

British media’s alignment with free market economic thinking has implications for food systems reform, as it deters the government from acting and relies on the invisible hand of the market to fix the system. Media firms should move beyond tropes of culture wars to discuss interventions that reform the structural causes of the UK’s broken food systems.

As traditional media coverage struggles to capture the diversity of public perception; the authors supplement framing analysis with sentiment analysis of Twitter data. To the best of our knowledge, no such media (and social media) analysis of the NFS has been conducted. The paper is also original as it extends our understanding of how media alignment with free market economic thinking has implications for food systems reform, as it deters the government from acting and relies on the invisible hand of the market to fix the system.

The paper aims to understand the role of sensory quality scoring used at the competition auctions on pricing outcomes and how the auction process could be improved to increase sustainability in the specialty coffee market.

The authors build a conceptual model explaining the potential role of sensory quality scoring in generating inequitable outcomes in specialty coffee auctions. The authors' research is exploratory. The authors base the propositions on the findings of the extant literature and our analysis of data from 24 Best of Panama (BOP) Auctions that took place between 2017 and 2021.

A striking feature in recent BOP Auctions is a winner-takes-all (WTA) outcome. The authors also document the presence of significant price inversion. The authors attribute these outcomes to the interactions of information-poor producers, information-rich intermediaries and conspicuous consumers in competition auctions, where the product quality measurement is highly unreliable.

Data need to be gathered more broadly to enable the operationalization of the current propositions into testable hypotheses.

These strategies intend to provide guidelines for producers, consumers and other value chain participants on creating equitable solutions to a thriving industry where a WTA phenomenon occurs.

The current study is the first to argue that existing quality scoring practices, as well as conspicuous consumption, contribute to the inequities. Finally, the study proposes novel interventions to standardize the quality grading protocols and communicate them transparently to both producers and consumers.

The objective of this paper is to identify dimensions of responsible consumption from consumer perspective and develop a reliable and valid measurement scale.

This paper has employed mixed methodology to develop items for responsible consumption. In first phase, experts' interviews were carried out to unearth the dimensions of responsible consumption. In second phase, quantitative survey was carried out to among consumers to measure their response. This was done using five-point Likert scale. The reliability and validity were ensured through empirical data online. Structural equation modeling was used to test the structural model.

The result showed that consumer perception of responsible consumption consists of five dimensions (Rationality, Sustainable Consumption, Local Consumption, Ethical Consumption and Minimalism). The result also showed strong relationship among satisfaction and responsible consumption dimensions.

It will help policymakers to measure and promote responsible consumption thereby improving environmental performance and reducing carbon footprint.

This is the first study to develop valid and reliable instrument for responsible consumption. The findings will have several implications both theoretical and practical for policymakers and society.

This paper aims to conceptualize and empirically illustrate the challenges that financial market regulation presents to politicians and the organization tasked with specifying regulations and supervising their implementation in the interest of users and consumers of financial instruments. It analyses the problem from the viewpoint of the governor's dilemma and the control/competence conflict, the linked problem of the rent-seeking of agents/intermediators and consumers of financial instruments. Political accountability problems are enhanced by the materiality of the technologies used, i.e. algo trading.

The paper theoretically conceptualizes and empirically illustrates the argument.

The paper finds that regulators of digitalized financial markets are faced with considerable problems and depend on private agents when regulating financial transactions. However, the new technological instruments also offer new possibilities for securing compliance.

Further research should focus more in-depth on the cooperation between public and private actors in the specification and implementation of regulatory details. It should further investigate the conditions which allow regulators to use RegTech in the surveillance of financial firms.

Since financial market transactions are opaque for most users, the creation of more transparency is crucial to hold regulators accountable in their activity of surveillance of financial firms. New algorithm-based technologies may lend important support in doing so.

By linking the different analytical perspectives, i.e. the governor's dilemma vis-à-vis the intermediator or agent and the possible rent-seeking of intermediators, under the condition of a highly developed technology of financial transactions as well as the market structure, the paper offers new insights into the limits as well as new opportunities of regulating financial markets allowing for political accountability of regulators and financial firms.

The purpose of this paper is to comprehensively review a large and heterogeneous body of academic literature on investors' feedback trading, one of the most popular trading patterns observed historically in financial markets. Specifically, the authors aim to synthesize the diverse theoretical approaches to feedback trading in order to provide a detailed discussion of its various determinants, and to systematically review the empirical literature across various asset classes to gauge whether their feedback trading entails discernible patterns and the determinants that motivate them.

Given the high degree of heterogeneity of both theoretical and empirical approaches, the authors adopt a semi-systematic type of approach to review the feedback trading literature, inspired by the RAMESES protocol for meta-narrative reviews. The final sample consists of 243 papers covering diverse asset classes, investor types and geographies.

The authors find feedback trading to be very widely observed over time and across markets internationally. Institutional investors engage in feedback trading in a herd-like manner, and most noticeably in small domestic stocks and emerging markets. Regulatory changes and financial crises affect the intensity of their feedback trades. Retail investors are mostly contrarian and underperform their institutional counterparts, while the latter's trades can be often motivated by market sentiment.

The authors provide a detailed overview of various possible theoretical determinants, both behavioural and non-behavioural, of feedback trading, as well as a comprehensive overview and synthesis of the empirical literature. The authors also propose a series of possible directions for future research.

This paper explores the empirical relationship between population age structure and bilateral trade.

The author includes age structure in both log and Poisson pseudo-maximum likelihood (PPML) formulations of the gravity equation of trade. The author studies relative age effects, using differences in the demographic structure of each country-pair.

The author finds that a relatively larger share of population in working age increases bilateral exports. This is robust to various estimation models, as well as to changes in the method of specifying the demographic controls. Old-age shares have a negative, but less robustly estimated impact on trade. Estimating instead the balance of trade between trading partners produces similar results, with positive effects of age structure peaking later in working life.

Global populations are poised to undergo a massive transition. Trade a crucial way that the demographic deficits of one country may be offset by the dividends of another as comparative advantages shift along with the size and strength of their underlying workforce.

The author’s work is among the first to quantify the effect of relative age structure between two countries and their bilateral trade flows. Focusing on the aggregate flows, relative age shares and PPML estimates of the trade relationship, this paper provides the most comprehensive picture to date on how age structure affects trade.

In 2021, nonfungible token (NFT) has emerged and grown as a new digital asset and became a carrier for cryptocurrency holders in China. NFT opens the door of the digital world for creators’ rights and the realization of economic interests. However, potential problems such as money laundering, terrorist financing and tax avoidance risks have increased in China due to the lack of regulations. As tax control is an important tool used by the government to adjust the economy and market, this study aims to investigate the future market capitalization of NFT and provide value orientations to control the NFT market in China with a tax control approach based on the positive experience of other countries.

In this study, least squares and expert estimation are applied to predict the future market capitalization based on the global market, which can provide an understanding of the current NFT market and the significance of its tax control. In addition, the tax control and interpretation of Chinese taxation institutions and structures are also explored.

Results include the probable tax structure or policy that national institutions can carry out over different transactions. Conclusions show that introducing tax control to regulate and monitor the rise of state revenue and decline of illegal financing activities. Establishing tax control in the Chinese NFT market can provide a centralized guarantee to ensure the safety and legality of transactions and enable further progress.

This study puts forward new ideas on the future development of nonprofitable tokens based on blockchain technology from the perspective of taxation in China.

The aim the study is to explore the impact of real exchange rate volatility and other macroeconomic variable such as price of import, industrial production and real exchange rate on 45 import commodities, considering global financial crisis period on India's import from the US. The empirical analysis at disaggregate level of import indicates the existence of both short-run and long-run effect in one-third importing commodities. The results show both positive and negative effect and causality among variables.

The study uses E-GARCH model to gage the real exchange rate volatility, an autoregressive distributive lag (ARDL) bound test technique to discover the adequate short- and long-run relationships and Toda-Yamamoto causality method to analyze the causality among variables. The study uses the time period from 2002:M09 to 2019:M06.

The empirical analysis at disaggregate level of import indicates the existence of both short-run and long-run effect in one-third importing commodities. The results show both positive and negative effects and causality among variables.

The finding of the study suggests that macroeconomic variables have significant role and could be important to undertake the small and medium scale industries in policymaking. Government may need to make decision for micro, small and medium enterprises (MSMEs) as their performance can bring change in the trade to compete globally by increasing and controlling the price of the import and defending the domestic competitiveness.

The study uses additional variable namely price of import and includes the global financial crisis period to measure dampening effect on each commodity by using robust econometric technique in context of emerging nation like India.

It is the expectation of Halal consumers that the meat they buy in retail shops and restaurants are ethically and legally reared and slaughtered in approved premises to protect animal welfare and public health. While this may be the case in multinational and well-established supermarkets due to due diligence on the part of retailers, there is evidence to suggest that some independent retail shops and ethnic restaurants in the UK partake in selling meat from illegally slaughtered animals. It is a crime that involves many players, but usually masterminded by rural entrepreneurs, including rogue farmers who supply the animals for illegal slaughter and further processing into smokies, or as part of the Islamic festival of Qurbani, in makeshift abattoirs. The purpose of this paper is to highlight illegal slaughter of sheep for the Halal market and how these impacts on food integrity and animal welfare.

This paper examines the legality of slaughter in accordance with UK animal welfare and food safety legislations. The documentary research approach is adopted to examine available information on the activities of organised criminal gangs in the production of smokies and their possible involvement in Qurbani fraud.

This paper demonstrates the involvement of some rogue farmers who are facilitating the smokies trade and illegal slaughter of sheep during the Qurbani sacrifice. It is worth noting that while these illegal activities occur in the Halal sector, the perpetrators are not always Muslims. The processing of illegally slaughtered sheep takes place in unhygienic conditions which is of food safety, public health concern and may violate the religious rules around slaughter.

Illegal slaughter for the Muslim sacrifice of Qurbani is underreported, this paper aims to highlight the animal welfare and food safety aspects of this type of slaughter, in addition to those slaughtered for smokies production.

Traceability of food is of paramount importance to the increasingly sustainability-conscious consumers. Several tracking and tracing systems have been developed in the AgriFood sector in order to prove to the consumers the origins and processing of food products. Critical challenges in realizing food's traceability include cooperating with multiple actors on common data sharing standards and data models.

This research applies a design science approach to showcase traceability that includes preharvest activities and conditions in a case study. The authors demonstrate how existing data sharing standards can be applied in combination with new data models suitable for capturing transparency information about plant production.

Together with existing studies on farm-to-fork transparency, our results demonstrate how to realize transparency from field to fork and enable producers to show a complete bill of sustainability.

The existing standards and data models address transparency challenges in AgriFood chains from the moment of harvest up to retail (farm-to-fork) relatively well, but not what happens before harvest. In order to address sustainability concerns, there is a need to collect data about production activities related to product quality and sustainability before harvesting and share it downstream the supply chain. The ability to gather data on sustainability practices such as reducing pesticide, herbicide, fertilizer and water use are crucial requirements for producers to market their produce as quality and sustainable products.