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Publication date: 4 May 2018

Nirzalin, Ibrahim Chalid and Yogi Febriandi

Purpose – The purpose of this paper is to describe the practice of inequality in access to fish resources that occurred in Kuala Langsa. In sociology, ownership of the…

Abstract

Purpose – The purpose of this paper is to describe the practice of inequality in access to fish resources that occurred in Kuala Langsa. In sociology, ownership of the means of production have strong linkages with economic productivity. The problems that arise in Kuala Langsa is the existence of gaps in the ownership of the means of production, thus giving birth to the practice of inequality in the production arena of fishermen. On the other hand, the efforts of government intervention through the help of the means of production lead to internal conflict among the community of fishermen in Kuala Langsa.

Methodology Approach – This article uses the sociology paradigm in looking at economic development efforts through the help of production equipment for fishermen in Kuala Langsa. Data was collected through interviews with qualified local fishermen communities and city governments. The observations were made to see in practice the use of production equipment such as ships, where fish auctions were held, and fuel aboard.

Finding – This article concludes that the practice of fishery production is divided into two types: first, fisherman workers who depend on the production of production tools owned by investors; second, traditional fishermen who depend on production from government aid equipment.

Research Implications – The authors argue that these two production practices have led to the practice of inequality in access to fishermen production in Kuala Langsa. In the first case, the means of production is controlled by the investors so that the fishermen of the workers experience marginalization of access to fish resources. In the second case, government aid production programs also resulted in the internal conflicts of traditional fishing groups in terms of control of production equipment.

Originality/Value – This article contributes to the concept of economic development of the fishing communities in Aceh.

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Article
Publication date: 25 November 2021

Jiaojiao Ge, Benhong Peng, Guo Wei and Anxia Wan

To strengthen the correlation analysis on risk factors of drug production safety and reduce the influence due to fuzzy judgments, a safety risk assessment method based on…

Abstract

Purpose

To strengthen the correlation analysis on risk factors of drug production safety and reduce the influence due to fuzzy judgments, a safety risk assessment method based on Grey-Analytic Network Process (G-ANP) is proposed.

Design/methodology/approach

First, an index system evaluating drug production safety risk is constructed according to the “Good Manufacture Practice of Medical Products,” next the influence weight of each risk index is derived by using the Analytic Network Process, then the grey number of each risk index is determined by further utilizing the grey statistical theory, and finally the risk level of drug production is obtained.

Findings

An empirical study is conducted and the results support the feasibility and practicability to use G-ANP method for drug production safety risk evaluation. The results of the case show that it is feasible and practical to use G-ANP method for drug production safety risk evaluation.

Originality/value

The innovation lies in the use of G-ANP method to fully consider the interdependence and interaction between the risk factors of drug production safety, which improves the objectivity in judging the risk level of drug production and provides a scientific basis for pharmaceutical manufacturers to formulate further decisions and management in the case of insufficient quantification of risk factors. Based on the findings, more targeted suggestions are made to reduce the production risk of pharmaceutical enterprises.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 23 November 2021

Elaine L. Ritch

The purpose of this research is to examine how consumers interpret and understand sustainable fashion production and how this informs their fashion consumption practice.

Abstract

Purpose

The purpose of this research is to examine how consumers interpret and understand sustainable fashion production and how this informs their fashion consumption practice.

Design/methodology/approach

The research adopts an interpretivist approach with in-depth interviews with 28 participants. Sampling criterion sought consumers already engaged with sustainable production – professionally working mothers – to explore how their sustainability knowledge was evaluated for sustainable fashion claims. Garment labels that descripted facets of sustainable production were introduced to encourage discourse of sustainable fashion knowledge.

Findings

The findings illustrate that sustainable fashion production is not understood and efforts to apply sustainability concepts were often misunderstood which led to scepticism for higher pricing and marketing claims. Despite this, there was concern for the wider implications of sustainability.

Research limitations/implications

Limitations include the small sample from one geographical area (Edinburgh), despite the richness of the data collected.

Practical implications

The research offers practical advice for fashion marketers to educate consumers through effective communication strategies how sustainable fashion concepts improve consumer concerns surrounding fashion production.

Social implications

The research indicates increased concern for fashion sustainability, something that fashion retailers should be mindful of.

Originality/value

There has been little research examining consumer interpretation of sustainable fashion terminology, and this research adds to understanding how sustainability is evaluated within fashion production.

Details

Journal of Fashion Marketing and Management: An International Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1361-2026

Keywords

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Article
Publication date: 1 December 2021

Ligia Gomez, Julian Duran and Isaias Tobasura

The purpose of this study is to estimate and analyze the production and export viability of organic cape gooseberry to Spain, cultivated by indigenous communities in…

Abstract

Purpose

The purpose of this study is to estimate and analyze the production and export viability of organic cape gooseberry to Spain, cultivated by indigenous communities in post-conflict areas.

Design/methodology/approach

Based on interviews with indigenous people who grow organic cape gooseberry in post-conflict areas and information from official platforms, the data are systematized, and a matrix of costs, expenses, productivity and income from the production and export of Cape gooseberry is calculated. Financial indicators of profitability are calculated: net profit, net present value (NPV) and internal rate of return (IRR). Finally, with a regression model, the trend of the behavior of the quantity and cost of Cape gooseberry exports from Colombia to Europe and Spain is estimated.

Findings

The production and export of organic cape gooseberry is profitable for indigenous communities in post-conflict areas, favored by a special price on the European market and by the use of family labor in cultivation, which improves the profitability of the product. Because of these factors, it is likely to become an alternative to partially replace illicit crops in post-conflict areas.

Research limitations/implications

This research was carried out in conflict areas, so conducting interviews in that territory put the integrity of the researchers at risk.

Originality/value

Studies known about organic cape gooseberry production reveal the benefits of the fruit for human health, but not the viability of production and export to Spain. This study demonstrates the financial viability of the production and export of cape gooseberry grown by indigenous people and therefore constitutes an alternative for substituting illicit crops.

Details

International Journal of Social Economics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0306-8293

Keywords

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Article
Publication date: 23 November 2021

Ismail Aliyu Danmaraya, Aminu Hassan Jakada, Suraya Mahmood, Bello Alhaji Ibrahim and Ahmad Umar Ali

The purpose of this paper is to look at the asymmetric effect of oil production on environmental degradation in OPEC member countries from 1970–2019.

Abstract

Purpose

The purpose of this paper is to look at the asymmetric effect of oil production on environmental degradation in OPEC member countries from 1970–2019.

Design/methodology/approach

The authors build a nonlinear panel ARDL–PMG model using the Shin et al. (2014) nonlinear autoregressive distributed lag (ARDL) approach in panel form to assess both the short- and long-run impact of positive and negative oil production movements on CO2 emissions.

Findings

The result demonstrates that the variables are cointegrated. According to the linear long run coefficients, oil production, FDI inflows and economic growth both have a positive and significant relationship with CO2 emissions, implying that they deteriorate environmental quality in OPEC countries, while renewable energy has a negative relationship with CO2, implying that increasing renewable energy improves environmental quality. The asymmetric findings prove that positive and negative shocks of oil production exert a positive effect on carbon emissions in short run and long run.

Research limitations/implications

To begin with, the empirical assessments do not include all OPEC member nations; researchers are advised to resolve this constraint by looking at the economies of other OPEC members. Albeit the lack of data for other energy sources may serve as another constraint of this research, future research is expected to broaden the current framework via other energy sources such as nuclear, electricity, biomass, solar as well as wind.

Originality/value

The research adds to the body of knowledge as many of the prevailing studies in the literature failed to look at the asymmetric effect of oil production on the quality of environment. This is another gap in the literature that the current study is set out to fill. This study adds oil production as an explanatory variable and helps to extend the existing literature for OPEC countries, which could propose a solution to deal with ensuing environmental issues.

Details

International Journal of Energy Sector Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1750-6220

Keywords

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Article
Publication date: 2 December 2021

Pushp Kumar, Naresh Chandra Sahu, Mohd Arshad Ansari and Siddharth Kumar

The paper investigates the effects of climate change along with ecological and carbon footprint on rice crop production in India during 1982–2016.

Abstract

Purpose

The paper investigates the effects of climate change along with ecological and carbon footprint on rice crop production in India during 1982–2016.

Design/methodology/approach

The autoregressive distributed lag (ARDL), canonical cointegration regression (CCR) and fully modified ordinary least square (FMOLS) models are used in the paper.

Findings

A long-run relationship is found between climate change and rice production in India. Results report that ecological footprint and carbon footprint spur long-term rice production. While rainfall boosts rice crop productivity in the short term, it has a negative long-term impact. Further, the findings of ARDL models are validated by other cointegration models, i.e., the FMOLS and CCR models.

Research limitations/implications

This study provides insights into the role of ecological footprint and carbon footprint along with climate variables in relation to rice production.

Originality/value

In the literature, the effects of ecological and carbon footprint on rice production are missing. Therefore, this is the first study to empirically examine the impact of climate change along with ecological footprint and carbon footprint on rice production in India.

Details

Journal of Agribusiness in Developing and Emerging Economies, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2044-0839

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Article
Publication date: 18 October 2021

Jiabao Sun, Ting Yang and Zhiying Xu

The increasing demands for customized services and frequent market variations have posed challenges to managing and controlling the manufacturing processes. Despite the…

Abstract

Purpose

The increasing demands for customized services and frequent market variations have posed challenges to managing and controlling the manufacturing processes. Despite the developments in literature in this area, less consideration has been devoted to the growth of business social networks, cloud computing, industrial Internet of things and intelligent production systems. This study recognizes the primary factors and their implications for intelligent production systems' success. In summary, the role of cloud computing, business social network and the industrial Internet of things on intelligent production systems success has been tested.

Design/methodology/approach

Intelligent production systems are manufacturing systems capable of integrating the abilities of humans, machines and processes to lead the desired manufacturing goals. Therefore, identifying the factors affecting the success of the implementation of these systems is necessary and vital. On the other hand, cloud computing and the industrial Internet of things have been highly investigated and employed in several domains lately. Therefore, the impact of these two factors on the success of implementing intelligent production systems is examined. The study is descriptive, original and survey-based, depending on the nature of the application, its target and the data collection method. Also, the introduced model and the information collected were analyzed using SMART PLS. Validity has been investigated through AVE and divergent validity. The reliability of the study has been checked out through Cronbach alpha and composite reliability obtained at the standard level for the variables. In addition, the hypotheses were measured by the path coefficients and R2, T-Value and GOF.

Findings

The study identified three variables and 19 sub-indicators from the literature associated that impact improved smart production systems. The results showed that the proposed model could describe 69.5% of the intelligence production systems' success variance. The results indicated that business social networks, cloud computing and the industrial Internet of things affect intelligent production systems. They can provide a novel procedure for intelligent comprehensions and connections, on-demand utilization and effective resource sharing.

Research limitations/implications

Study limitations are as below. First, this study ignores the interrelationships among the success of cloud computing, business social networks, Internet of things and smart production systems. Future studies can consider it. Second, we only focused on three variables. Future investigations may focus on other variables subjected to the contexts. Ultimately, there are fewer experimental investigations on the impact of underlying business social networks, cloud computing and the Internet of things on intelligent production systems' success.

Originality/value

The research and analysis outcomes are considered from various perspectives on the capacity of the new elements of Industry 4.0 for the manufacturing sector. It proposes a model for the integration of these elements. Also, original and appropriate guidelines are given for intelligent production systems investigators and professionals' designers in industry domains.

Details

Kybernetes, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 9 November 2021

Wenhui Tian, Yanjun Li and Linzhu Li

The paper aims to clarify the influence of different picture contents on consumer's willingness to click pictures when shopping for agricultural products online and…

Abstract

Purpose

The paper aims to clarify the influence of different picture contents on consumer's willingness to click pictures when shopping for agricultural products online and examine the intermediary mechanism and boundary conditions of the impact.

Design/methodology/approach

The paper opted for an empirical study based on the cue utilization theory and information processing theory, including 3 experiments to test the existence, intermediary mechanism and boundary conditions of the impact of online picture contents of agricultural products on consumers' clicking intention.

Findings

The paper provides empirical insights about the influence of picture contents on consumer's willingness to click when shopping for agricultural products online. The picture of product's production environment or grower on the search result page can effectively improve consumer's willingness to click the product under dual-systemic information processing modes. Compared with product pictures, pictures displaying products and production environment can stimulate more cognitive system processing, and pictures displaying products and its growers can stimulate more emotional system processing, both resulting in higher click intention. However, the above effects only exist in the context of non-branded agricultural products.

Originality/value

The research results can not only provide practical guidance for merchants, but also fill the gap in the research on the impact of picture contents on consumers in the field of agricultural products in online marketing.

Details

Journal of Contemporary Marketing Science, vol. 4 no. 2
Type: Research Article
ISSN: 2516-7480

Keywords

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Article
Publication date: 16 September 2021

Karen Louise Bester, Anne McGlade and Eithne Darragh

“Co-production” is a process in health and social care wherein service users and practitioners work in partnership. Recovery colleges (RCs) are educational establishments…

Abstract

Purpose

“Co-production” is a process in health and social care wherein service users and practitioners work in partnership. Recovery colleges (RCs) are educational establishments offering mental health education; a cornerstone feature is that courses are designed and delivered in parity by both mental health practitioners and “peers” – people with lived experience of mental illness. This paper aims to consider, through the identification of key themes, whether co-production within RCs is operating successfully.

Design/methodology/approach

The paper is a systematic review of qualitative literature. Relevant concept groups were systematically searched using three bibliographic databases: Medline, Social Care Online and Scopus. Articles were quality appraised and then synthesised through inductive thematic analysis and emergent trends identified.

Findings

Synthesis identified three key themes relating to the impact of co-production in RCs: practitioner attitudes, power dynamics between practitioners and service users, and RCs’ relationships with their host organisations. As a result of RC engagement, traditional practitioner/patient hierarchies were found to be eroding. Practitioners felt they were more person-centred. RCs can model good co-productive practices to their host organisations. The review concluded, with some caveats, that RC co-production was of high fidelity.

Originality/value

RC research is growing, but the body of evidence remains relatively small. Most of what exists examine the impact of RCs on individuals’ overall recovery and mental health; there is a limited empirical investigation into whether their flagship feature of parity between peers and practitioners is genuine.

Details

The Journal of Mental Health Training, Education and Practice, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1755-6228

Keywords

Content available
Article
Publication date: 12 October 2021

Shengsheng Wang, Bangxi Li and Shan Gu

Different from Marx's analysis of the dialectical relationship between the production and realization of surplus value, the Okishio theorem only shows one aspect of the…

Abstract

Purpose

Different from Marx's analysis of the dialectical relationship between the production and realization of surplus value, the Okishio theorem only shows one aspect of the contradictory movement of the total social capital, that is, the reverse effect of the realization of surplus value on the production of surplus value.

Design/methodology/approach

The production of surplus value and the realization of surplus value are simplified into one process. This simplification eliminates the contradiction between the production and realization of surplus value, and the antagonistic contradiction between accumulation and consumption and the antagonistic production-distribution relationship in capitalist society are naturally covered up.

Findings

Therefore, it cannot explain the actual expansion way of the falling general rate of profit as the historical development law of capitalism. Nevertheless, it should be noted that the Okishio theorem places the analysis of the general rate of profit back into the social reproduction model with department equilibrium, which points out the significance of wage income to the realization of surplus value and outlines the macro mechanism of the realization of surplus value reacting to the production of surplus value. It also strongly promotes the research progress of the law that the profit rate tends to decline.

Originality/value

The mistake of the Okishio theorem is that the exchange process in the labor market forms the real wage rate. It determines the production price of wage goods, which thereby determines that the production price of capital goods and general rate of profit, the production of surplus value and realization of surplus value are simplified into the same process, and only the value that can be realized is the real value.

Details

China Political Economy, vol. 4 no. 1
Type: Research Article
ISSN: 2516-1652

Keywords

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