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In 2020, the Committee on Climate Change (CCC) recommended that British consumers reduce their beef, lamb and dairy consumption by 20% for both environmental and health reasons. For a region like Northern Ireland, this presents a significant challenge. Northern Ireland, considered to be performing poorly local economy within the United Kingdom and Ireland, has an export-orientated agri-food sector with an extensive domestic supply chain. This study shows the likely trade-offs required for a small regional economy with a large, established cattle herd to sustainably transition from one agri-food system to another. In so doing, the study uses the most comprehensive agricultural data collections to rebalance Northern Irish input–output tables, to better account for the nature of NI intermediate consumption within an agri-food system. The results show that a large-scale transition from beef, lamb and dairy to fruit and vegetable production would create a more emission efficient agricultural sector. The worst economic effects could be offset within current NI policy parameters, although there would still likely be some economic costs.

The 2018 farm bill removed industrial hemp from the Schedule 1 Controlled Substance List. In response, states scrambled to enact hemp legislation. Some hemp flower producers report their hemp fields were cross- pollinated by a neighbor growing a different hemp cultivar. For hemp flower crops, cross- pollination reduces cannabinoid concentration levels within the flower; these concentration levels dictate flower price. We show that in a repeated game, once a sufficiently large percentage of growers decide to plant hemp fiber/seed crops, cross-pollination forces flower growers to convert to fiber/seed to avoid the negative network externality. Over time, a stable, suboptimal Nash equilibrium of reduced flower production results. The most important factor driving this tip to reduced flower production is pollen transmission rates between fields. This factor can be effectively reduced through either an auction-style quota system directed at seed and fiber cultivars or intertemporal zoning laws that dictate when a particular cultivar can be planted. As applications for hemp growing licenses swell, cross- pollination between farmers becomes increasingly likely. If left unchecked by policy, farm-level income and rural economic development will be suppressed.

The research aims to analyze the effect of exchange rate, length of road, Human Development Index, regional expenditure, domestic investment, foreign investment, and total population on Gross Regional Domestic Product. The analysis used panel data estimation. Data were collected from Bank Indonesia and Statistics Indonesia (BPS) from 2010 to 2016. This research employed econometrics analysis in order to obtain the estimation result of the regional economic model in Indonesia that matched with statistics and economics theory criteria. After a series of econometric tests, the results showed that foreign investment, domestic investment, regional expenditure, exchange rate, Human Development Index, and length of road had a positive and significant effect on Regional Gross Domestic Product. Meanwhile, the total population had an insignificant effect on Regional Gross Domestic Product in Indonesia.

This paper aims to analyze the influence of tourism sector to regional revenue of Malang Raya. In this case, tourism sector used the number of tourist arrival, hotel’s room occupancy rate, the number of restaurants, and the sum of PDRB (Gross Regional Domestic Product) during the period of 2006-2016. The secondary panel data from three Local Governments in Malang Raya is analyzed by using fixed effect model of multiple regressions. The result shows that all independent variables simultaneously give significant influence to regional revenue. Partially, the number of tourist arrival and hotel’s room occupancy rate give the significant influence to regional revenue. The other two variables, i.e. the number of restaurant and sum of PDRB did not give significant influence. A regression model of 97.76% is generated to predict regional revenue of Malang Raya. The conclusion gives an insight that local governments in Malang Raya should pay more attention to the effort of promoting Malang Raya to encourage tourist to come and stay longer, in order to increase the regional revenue and also to increase the share of the tourism sector to regional revenue. Keywords : Malang Raya, regional revenue, tourism.

This paper presents estimates of the economic impacts of cancelled recreational trips to coastal counties in Northwest Florida due to the Deepwater Horizon oil spill in 2010, which were developed for legal claims by the State of Florida. A survey of households in 13 states indicated that 1.88 million planned visitor-trips to the region were cancelled up to a year after the incident, resulting in a loss of $1.30 billion in visitor spending. Total regional economic losses were estimated at $2.04 billion in industry output, $1.37 billion in value added, and an employment loss of 20,486 job-years.

In decentralization system, understanding the characteristics of region’s economy becomes necessary for productivity. In that regard, this descriptive study aims to describe the characteristics of the local economy in Balinese regencies and to identify the potential sectors to be developed therein. Using such methodologies as Klassen Typology, Location Quotient, Growth-Ratio Model, and Overlay analysis from year 2010 to 2016. As a result, we have found significant gap amongst regencies, where Badung and Denpasar are the most developed regencies, with high level both in growth rate and GDP per Capita. On the other hand, Klungkung, Jembrana, Bangli, Karangasem, and Tabanan are the least developed. Furthermore, it was found that most sectors in Bali are experiencing slow growth during the research period. By studying all the regencies in Bali province, this study not only enrich the existing literature but also recommend potential sectors from each region to be developed in order to reduce the development gap between regencies.

TERM is used to analyse the short-term regional economic impact of an increase in industries' transport costs when paying E-Tolls. Market-clearing and accounting equations allow regional economies to be represented as an integrated framework, labour adjusts to accommodate increasing transportation costs, and investments change to accommodate capital that is fixed.1 We concluded that costs from levying E-Tolls on industries are small in comparison to total transport costs, and the impact on economic aggregates and most industries are marginal: investments (−0.404%), gross domestic product (GDP) (−0.01) and consumer price inflation (−0.10%). This is true even when considering costs and benefits on industries as well as consumers. Industries that experienced the greatest decline in output were transport, construction and gold. Provinces that are closer to Gauteng and have a greater share of severely impacted industries experienced larger GDP and real income reductions. Mpumalanga's decrease in GDP was 17% greater than Gauteng's.

East Java has a big role in supplying agricultural product for nasional logistic. The problems are not completely resolved, regional development planning should integrate sectoral and spatial approach. The focus of study is to analyze the linkage of rice production to other sectors, in order to develop rice production. Research using the Input-Output models, Location Quotient to measure the degree of relative specialization of a region, and DEA to measure the performance of spatial efficiency. The result used IO table in 2010, contributors backward linkage of paddy sector are paddy sector itself, fertilizer and pesticide sector, also agriculture services and hunting, while the backward linkage contributors are paddy sector itself, rice sector, and food products and beverages. Spatially there are 28 areas that are able to serve the market of paddy products. If related to production efficiency, there are nine areas are included in the category of efficient production, with input in the form of land, and the number of farmers. Policy Implication related to the findings of input output approach, are the affordability of input proces, the streamlined of input distributing system, and the goes on education and information to the farmer about input usage. Whereas, related to the spatial aspect, in soft infrastructure as strengthening internal capacity of farmer and instructor. In the other hand, hard structure aspect especially restoration of irrigation, allocating best seed and fertilizer for farmer.

This study examines the impact of internal and external knowledge on firm productivity in the Swedish agricultural sector. It combines theories from regional economics about the geographical aspects of knowledge with traditional theories on the role of knowledge in productivity in agriculture. The study is a firm-level analysis using an unbalanced panel between the years 2002 and 2011 in Sweden. The results show that these firms are positively affected by employees with formal education related to the sector. Higher knowledge levels have a greater impact than lower levels. External knowledge, such as localised spillovers, is also important, but the results on this factor are more ambiguous.

This study examines the relative economics of electric vehicle operation in the context of current electricity rates in specific utility service territories. The authors examined 14 utility territories offering electric vehicle (EV) rates, focusing on California but also including other regions of theUnited States. The consumer costs of EV charging were examined in comparison with gasoline price data, geographic location, and during three highly variable gasoline price periods of July 2008, January 2009, and July 2009. In a switch from a conventional 23 mile per gallon (10.2liters/100 kilometers) vehicle to a 300 watt-hours/mile electric vehicle driven 10,000 miles (16,100 km) per year, the study finds that savings in fuel costs ranged from approximately $100US to $1,800US annually, with considerable geographic variation and with higher-endvalues mostly in Summer 2008 when gasoline prices were relatively high. Charging off-peak instead of during peak periods saves an average of only a few hundred dollars US per year, rendering the incentive to charge off-peak a relatively small one except perhaps during somesummer months when the on-peak prices are especially high. Gasoline price variances have a larger effect and switching from a low fuel economy conventional vehicle to the reference EV (compared with a switch from an already efficient vehicle) presents the highest savings level. The West and Midwest are generally the most favorable regions for EV economics, when EVcharging rates and gasoline prices are considered together.

The objective of this paper is to examine the income convergence in three provincesin Java island such as West Java, Central Java, and East Java during time period2004-2007. Using two concepts of convergences which are -convergence and -convergence, this paper show that in three regions there not found -convergenceand -convergence. This result indicated that in three provinces, if there were anincreasing in Gross Domestic Regional Product (GDRP), it always espoused withenhancing in growth GDRP, and enhancing in the gap level in one regency to theother regency. This means that the estimation result exactly confirmed the happeningof economy development with divergence not convergence. Keywords: income convergences, regional economics, and divergence

SUMMARY The economic concept of the forest sector as a cluster of interlinked wood-based industries is contributing to a growing understanding of a large sector in national economies of Europe. Although national level surveys have demonstrated the forest sector's global impact, neither its role in regional economies nor its distribution in geographic space are well understood. Attempting a regionalized analysis of the forest sector, this paper explores an approach combining regional economics and spatial statistics. Standard concentration indices (Gini coefficient, location quotient) and geostatistical autocorrelation measures for regional clustering (Moran's I and Getis-Ord G) are combined in an exploratory spatial analysis of detailed county-level employment statistics for Germany. The case study reveals decisive impacts of the forest sector on regional employment especially in rural areas. Regional industrial clusters and pairwise patterns of co-agglomeration of sawmilling, wood-based panels, wood-base...

TERM (The Enormous Regional Model) is a “bottom-up” CGE model of Australia which treats each region as a separate economy. TERM was created specifically to deal with highly disaggregated regional data while providing a quick solution to simulations. This makes it a useful tool for examining the regional impacts of shocks that may be region-specific. We include some details of how we prepared the TERM database, using a national input–output table, together with regional data showing output (for agriculture) and employment (in other sectors) for each of 144 sectors and 57 regions (the Australian statistical divisions). Using a 38-sector, 45-region aggregation of the model, we simulate the short-run effects of the Australian drought of 2002–2003, which was the most widespread for 20 years. The effects on some statistical divisions are extreme, with income losses of up to 20%. Despite the relatively small share of agriculture in Australian GDP, the drought reduces GDP by 1.6%, and contributes to a decline in unemployment and to a worsening of the balance of trade.

A two-sector computable general equilibrium model is calibrated to the New Brunswick community of Petitcodiac using translog cost function regression analysis, and a questionnaire. Simulations are conducted for marginal reductions in both the price of lumber and the timber supply. We observe that both reductions have negative impacts on output and most production factors in the forest sector. Other production sectors tend to expand as production factors flow to where they receive their highest return. Results of this study indicate that the New Brunswick community is more (less) significantly impacted from timber supply (forest price) changes than a comparative study reports for a region in Alberta. Key words: CGE model, translog cost function, timber supply, lumber prices, regional economics, community impact