Technology Gap

This chapter extends the authors' previous research work in which an examination of causality was conducted between foreign direct investment (FDI), economic growth (GDP), and the environment (CO2 emissions and energy consumption [EC]) in the Indian context. Two more important variables (i.e., trade openness and technology gap) were also added. The chapter further examines the effects of information and communication technology (ICT) trade on both GDP and the environment of India. The results of previous model show that FDI is neither causing GDP nor is it bridging the technology gap. The results also indicate the existence of pollution haven hypothesis (PHH) in India as FDI is causing both CO2 and EC. Also, FDI is, though not causing the GDP directly, doing so indirectly through CO2 validating the existence of PHH. FDI is causing trade openness in India, but that openness is again causing more FDI, which is doing no good for India. The results of ICT trade model indicate that both GDP and ICT exports cause CO2 in India. Also, both the GDP and ICT exports are consuming energy in India.

Blockchain-Enabled Energy Demand Side Management Cap and Trade Model

Global economic growth, demographic explosion, digitization, increased mobility, and greater demand for heating and cooling due to climate change in different world areas are the main drivers for the surge in energy demand. The increase in energy demand is the basis of economic challenges for power companies alongside several socio-economic problems in communities, such as energy poverty, defined as the insufficient coverage of energy needs, especially in the residential sector. Two main strategies are considered to meet this increased demand. The first strategy focuses on new sustainable and eco-friendly modes of power generation, such as renewable energy resources and distributed energy resources. The second strategy is demand-side oriented rather than the supply side. Demand-side management, demand response (DR), and energy efficiency (EE) programs fall under this category. On the other hand, the decentralization and digitization of the energy sector convoyed by the emersion of new technologies such as blockchain, Internet of Things (IoT), and Artificial Intelligence (AI), opened the door to new solutions for the energy demand dilemma. Among these technologies, blockchain has proved itself as a decentralized trading platform between untrusted peers without the involvement of a trusted third party. This newly introduced Peer-to-Peer (P2P) trading model can be used to create a new demand load control model. In this article, the concept of an energy cap and trade demand-side management (DSM) model is introduced and simulated. The introduced DSM model is based on the concept of capping consumers’ monthly energy consumption and rewarding consumers who do not exceed this cap with energy tradeable credits that can be traded using blockchain-based Peer-to-Peer (P2P) energy trading. A model based on 200 households is used to simulate the proposed DSM model and prove that this model can be beneficial to both energy companies and consumers.

A multi-objective model for sustainable closed-loop supply chain of perishable products under two carbon emission regulations

Purpose This paper aims to minimize the total carbon emissions and costs and also maximize the total social benefits. Design/methodology/approach The present study develops a mathematical model for a closed-loop supply chain network of perishable products so that considers the vital aspects of sustainability across the life cycle of the supply chain network. To evaluate carbon emissions, two different regulating policies are studied. Findings According to the obtained results, increasing the lifetime of the perishable products improves the incorporated objective function (IOF) in both the carbon cap-and-trade model and the model with a strict cap on carbon emission while the solving time increases in both models. Moreover, the computational efficiency of the carbon cap-and-trade model is higher than that of the model with a strict cap, but its value of the IOF is worse. Results indicate that efficient policies for carbon management will support planners to achieve sustainability in a cost-effectively manner. Originality/value This research proposes a mathematical model for the sustainable closed-loop supply chain of perishable products that applies the significant aspects of sustainability across the life cycle of the supply chain network. Regional economic value, regional development, unemployment rate and the number of job opportunities created in the regions are considered as the social dimension.

How preferences shape the welfare and employment effects of trade

We set up a trade model with two countries, two sectors, and one production factor, which features a home-market effect due to the existence of trade costs. We consider search frictions and firm-level wage bargaining in the sector producing differentiated goods and a perfectly competitive labor market in the sector producing a homogeneous good. Consumers have price-independent generalized-linear preferences over the two types of goods, covering homothetic and quasi-homothetic preferences as two limiting cases. Due to the specific functional forms of indirect utility, homothetic preferences lead to risk aversion, while quasi-homothetic preferences lead to risk neutrality in our model. We show that trade between two countries that differ in their population size leads to an expansion of the differentiated goods sector and a contraction of the homogeneous good sector in the larger economy. This induces the larger country to net-export differentiated goods at the cost of a higher economy-wide rate of unemployment in the open economy (with the effects reversed for the smaller country). The welfare effects of trade depend on the preference structure. Looking at the two limiting cases, we show that the larger country is likely to benefit from trade if preferences are homothetic, whereas losses from trade are possible if preferences are quasi-homothetic. The opposite is true in the smaller country. This reveals an important role of preferences for the welfare effects of trade in the presence of labor market imperfection, a result we further elaborate on by considering more general preferences as well as differences of countries in their per-capita income levels.

Dynamics of the global trade Asiatic Softshell Turtle (Amyda cartilaginea Boddaert 1770): Shifting trends in commerce and consequences for sustainability

Biodiverse countries such as Indonesia provide the exotic Asiatic Softshell Turtle (Amyda cartilaginea Boddaert 1770) for the wildlife trade. Deciding which trade model is detrimental to species survival in the wild can be a major challenge for Management Authorities (MA) in implementing CITES. The consequences for conservation, long-term use, and livelihoods are uncertain. The study used the CITES (Convention on International Trade in Endangered Species of Wild Fauna and Flora) trade database. The collection of raw data is based on trade reports for the species of freshwater turtles (testudinidae) for the period 2011 to 2021, export countries from Indonesia, export destinations for all countries and sources of harvested turtles from the wild. This research aims to study the freshwater turtle trading trends over the decade, compare total quotas to actual harvest, and recognize how the precautionary principle is applied in harvesting A. cartilaginea. Harvesting and trading are following the quota regulated under the Indonesian government. However, conservation efforts were less emphasized, so it is feared that there will be a population decline and even extinction in the future, while the population in the wild cannot be ascertained. The larger the harvest quota set and the shorter the harvest period, the larger the natural population that must be available.

Quantifying Brexit: from ex post to ex ante using structural gravity

Exploiting changes in the geography of economic integration in Europe, this paper quantifies the effects of Brexit from ex post to ex ante using structural gravity. By isolating the directional treatment effects of EU agreements for the UK, the analysis reveals important heterogeneity across agreements, sectors, and within pairs. We find that these directional effects matter for the size and distribution of the welfare effects of Brexit—the withdrawal of the UK from EU agreements resulting into a return of trade costs to the situation quo ante. We make this point with the help of a modern multi-sector trade model that is able to capture inter- and intranational production networks. In line with other papers, the welfare costs of Brexit are higher in the UK than in most other EU countries. However, heterogeneity tends to attenuate overall costs while giving rise to substantial heterogeneity between EU27 members and sectors. A scenario that could shift bargaining power eliminates asymmetries in the costs of Brexit as soon as the UK fully liberalizes its market.